diff --git a/examples/human_in_the_loop/breakpoints.ipynb b/examples/human_in_the_loop/breakpoints.ipynb
index 21db70390..aa482c19b 100644
--- a/examples/human_in_the_loop/breakpoints.ipynb
+++ b/examples/human_in_the_loop/breakpoints.ipynb
@@ -1,472 +1,475 @@
 {
-  "cells": [
-    {
-      "attachments": {
-        "b5aa6d4c-8dfd-490d-a53c-69c1368cd5b5.png": {
-          "image/png": 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"
-        }
-      },
-      "cell_type": "markdown",
-      "id": "51466c8d-8ce4-4b3d-be4e-18fdbeda5f53",
-      "metadata": {},
-      "source": [
-        "# How to add breakpoints\n",
-        "\n",
-        "Human-in-the-loop (HIL) interactions are crucial for [agentic systems](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#human-in-the-loop). [Breakpoints](https://langchain-ai.github.io/langgraph/concepts/low_level/#breakpoints) are a common HIL interaction pattern, allowing the graph to stop at specific steps and seek human approval before proceeding (e.g., for sensitive actions). \n",
-        "\n",
-        "Breakpoints are built on top of LangGraph [checkpoints](https://langchain-ai.github.io/langgraph/concepts/low_level/#checkpointer), which save the graph's state after each node execution. Checkpoints are saved in [threads](https://langchain-ai.github.io/langgraph/concepts/low_level/#threads) that preserve graph state and can be accessed after a graph has finished execution. This allows for graph execution to pause at specific points, await human approval, and then resume execution from the last checkpoint.\n",
-        "\n",
-        "![Screenshot 2024-07-03 at 1.32.19 PM.png](attachment:b5aa6d4c-8dfd-490d-a53c-69c1368cd5b5.png)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "7cbd446a-808f-4394-be92-d45ab818953c",
-      "metadata": {},
-      "source": [
-        "## Setup\n",
-        "\n",
-        "First we need to install the packages required"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 1,
-      "id": "af4ce0ba-7596-4e5f-8bf8-0b0bd6e62833",
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "%%capture --no-stderr\n",
-        "%pip install --quiet -U langgraph langchain_anthropic"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "0abe11f4-62ed-4dc4-8875-3db21e260d1d",
-      "metadata": {},
-      "source": [
-        "Next, we need to set API keys for Anthropic (the LLM we will use)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 2,
-      "id": "c903a1cf-2977-4e2d-ad7d-8b3946821d89",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "ANTHROPIC_API_KEY:  ········\n"
-          ]
-        }
-      ],
-      "source": [
-        "import getpass\n",
-        "import os\n",
-        "\n",
-        "\n",
-        "def _set_env(var: str):\n",
-        "    if not os.environ.get(var):\n",
-        "        os.environ[var] = getpass.getpass(f\"{var}: \")\n",
-        "\n",
-        "\n",
-        "_set_env(\"ANTHROPIC_API_KEY\")"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "f0ed46a8-effe-4596-b0e1-a6a29ee16f5c",
-      "metadata": {},
-      "source": [
-        "<div class=\"admonition tip\">\n",
-        "    <p class=\"admonition-title\">Set up <a href=\"https://smith.langchain.com\">LangSmith</a> for LangGraph development</p>\n",
-        "    <p style=\"padding-top: 5px;\">\n",
-        "        Sign up for LangSmith to quickly spot issues and improve the performance of your LangGraph projects. LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started <a href=\"https://docs.smith.langchain.com\">here</a>. \n",
-        "    </p>\n",
-        "</div>    "
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "131fd44d-c0f8-473a-ae80-4b4668ad7f47",
-      "metadata": {},
-      "source": [
-        "## Simple Usage\n",
-        "\n",
-        "Let's look at very basic usage of this.\n",
-        "\n",
-        "Below, we do two things:\n",
-        "\n",
-        "1) We specify the [breakpoint](https://langchain-ai.github.io/langgraph/concepts/low_level/#breakpoints) using `interrupt_before` the specified step.\n",
-        "\n",
-        "2) We set up a [checkpointer](https://langchain-ai.github.io/langgraph/concepts/low_level/#checkpointer) to save the state of the graph."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 8,
-      "id": "9b53f191-1e86-4881-a667-d46a3d66958b",
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "image/jpeg": 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-            "text/plain": [
-              "<IPython.core.display.Image object>"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "from typing import TypedDict\n",
-        "from langgraph.graph import StateGraph, START, END\n",
-        "from langgraph.checkpoint.memory import MemorySaver\n",
-        "from IPython.display import Image, display\n",
-        "\n",
-        "\n",
-        "class State(TypedDict):\n",
-        "    input: str\n",
-        "\n",
-        "\n",
-        "def step_1(state):\n",
-        "    print(\"---Step 1---\")\n",
-        "    pass\n",
-        "\n",
-        "\n",
-        "def step_2(state):\n",
-        "    print(\"---Step 2---\")\n",
-        "    pass\n",
-        "\n",
-        "\n",
-        "def step_3(state):\n",
-        "    print(\"---Step 3---\")\n",
-        "    pass\n",
-        "\n",
-        "\n",
-        "builder = StateGraph(State)\n",
-        "builder.add_node(\"step_1\", step_1)\n",
-        "builder.add_node(\"step_2\", step_2)\n",
-        "builder.add_node(\"step_3\", step_3)\n",
-        "builder.add_edge(START, \"step_1\")\n",
-        "builder.add_edge(\"step_1\", \"step_2\")\n",
-        "builder.add_edge(\"step_2\", \"step_3\")\n",
-        "builder.add_edge(\"step_3\", END)\n",
-        "\n",
-        "# Set up memory\n",
-        "memory = MemorySaver()\n",
-        "\n",
-        "# Add\n",
-        "graph = builder.compile(checkpointer=memory, interrupt_before=[\"step_3\"])\n",
-        "\n",
-        "# View\n",
-        "display(Image(graph.get_graph().draw_mermaid_png()))"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "d7d5f80f-9d8c-4a39-b198-24fe94132b41",
-      "metadata": {},
-      "source": [
-        "We create a [thread ID](https://langchain-ai.github.io/langgraph/concepts/low_level/#threads) for the checkpointer.\n",
-        "\n",
-        "We run until step 3, as defined with `interrupt_before`. \n",
-        "\n",
-        "After the user input / approval, [we resume execution](https://langchain-ai.github.io/langgraph/concepts/low_level/#breakpoints) by invoking the graph with `None`. "
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 7,
-      "id": "dfe04a7f-988e-4a36-8ce8-2c49fab0130a",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{'input': 'hello world'}\n",
-            "---Step 1---\n",
-            "---Step 2---\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Do you want to go to Step 3? (yes/no):  yes\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "---Step 3---\n"
-          ]
-        }
-      ],
-      "source": [
-        "# Input\n",
-        "initial_input = {\"input\": \"hello world\"}\n",
-        "\n",
-        "# Thread\n",
-        "thread = {\"configurable\": {\"thread_id\": \"1\"}}\n",
-        "\n",
-        "# Run the graph until the first interruption\n",
-        "for event in graph.stream(initial_input, thread, stream_mode=\"values\"):\n",
-        "    print(event)\n",
-        "\n",
-        "user_approval = input(\"Do you want to go to Step 3? (yes/no): \")\n",
-        "\n",
-        "if user_approval.lower() == \"yes\":\n",
-        "    # If approved, continue the graph execution\n",
-        "    for event in graph.stream(None, thread, stream_mode=\"values\"):\n",
-        "        print(event)\n",
-        "else:\n",
-        "    print(\"Operation cancelled by user.\")"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "3333b771",
-      "metadata": {},
-      "source": [
-        "## Agent\n",
-        "\n",
-        "In the context of agents, breakpoints are useful to manually approve certain agent actions.\n",
-        " \n",
-        "To show this, we will build a relatively simple ReAct-style agent that does tool calling. \n",
-        "\n",
-        "We'll add a breakpoint before the `action` node is called. "
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 10,
-      "id": "6098e5cb",
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
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",
-            "text/plain": [
-              "<IPython.core.display.Image object>"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "# Set up the tool\n",
-        "from langchain_anthropic import ChatAnthropic\n",
-        "from langchain_core.tools import tool\n",
-        "from langgraph.graph import MessagesState, START\n",
-        "from langgraph.prebuilt import ToolNode\n",
-        "from langgraph.graph import END, StateGraph\n",
-        "from langgraph.checkpoint.memory import MemorySaver\n",
-        "\n",
-        "\n",
-        "@tool\n",
-        "def search(query: str):\n",
-        "    \"\"\"Call to surf the web.\"\"\"\n",
-        "    # This is a placeholder for the actual implementation\n",
-        "    # Don't let the LLM know this though 😊\n",
-        "    return [\n",
-        "        \"It's sunny in San Francisco, but you better look out if you're a Gemini 😈.\"\n",
-        "    ]\n",
-        "\n",
-        "\n",
-        "tools = [search]\n",
-        "tool_node = ToolNode(tools)\n",
-        "\n",
-        "# Set up the model\n",
-        "\n",
-        "model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
-        "model = model.bind_tools(tools)\n",
-        "\n",
-        "\n",
-        "# Define nodes and conditional edges\n",
-        "\n",
-        "\n",
-        "# Define the function that determines whether to continue or not\n",
-        "def should_continue(state):\n",
-        "    messages = state[\"messages\"]\n",
-        "    last_message = messages[-1]\n",
-        "    # If there is no function call, then we finish\n",
-        "    if not last_message.tool_calls:\n",
-        "        return \"end\"\n",
-        "    # Otherwise if there is, we continue\n",
-        "    else:\n",
-        "        return \"continue\"\n",
-        "\n",
-        "\n",
-        "# Define the function that calls the model\n",
-        "def call_model(state):\n",
-        "    messages = state[\"messages\"]\n",
-        "    response = model.invoke(messages)\n",
-        "    # We return a list, because this will get added to the existing list\n",
-        "    return {\"messages\": [response]}\n",
-        "\n",
-        "\n",
-        "# Define a new graph\n",
-        "workflow = StateGraph(MessagesState)\n",
-        "\n",
-        "# Define the two nodes we will cycle between\n",
-        "workflow.add_node(\"agent\", call_model)\n",
-        "workflow.add_node(\"action\", tool_node)\n",
-        "\n",
-        "# Set the entrypoint as `agent`\n",
-        "# This means that this node is the first one called\n",
-        "workflow.add_edge(START, \"agent\")\n",
-        "\n",
-        "# We now add a conditional edge\n",
-        "workflow.add_conditional_edges(\n",
-        "    # First, we define the start node. We use `agent`.\n",
-        "    # This means these are the edges taken after the `agent` node is called.\n",
-        "    \"agent\",\n",
-        "    # Next, we pass in the function that will determine which node is called next.\n",
-        "    should_continue,\n",
-        "    # Finally we pass in a mapping.\n",
-        "    # The keys are strings, and the values are other nodes.\n",
-        "    # END is a special node marking that the graph should finish.\n",
-        "    # What will happen is we will call `should_continue`, and then the output of that\n",
-        "    # will be matched against the keys in this mapping.\n",
-        "    # Based on which one it matches, that node will then be called.\n",
-        "    {\n",
-        "        # If `tools`, then we call the tool node.\n",
-        "        \"continue\": \"action\",\n",
-        "        # Otherwise we finish.\n",
-        "        \"end\": END,\n",
-        "    },\n",
-        ")\n",
-        "\n",
-        "# We now add a normal edge from `tools` to `agent`.\n",
-        "# This means that after `tools` is called, `agent` node is called next.\n",
-        "workflow.add_edge(\"action\", \"agent\")\n",
-        "\n",
-        "# Set up memory\n",
-        "memory = MemorySaver()\n",
-        "\n",
-        "# Finally, we compile it!\n",
-        "# This compiles it into a LangChain Runnable,\n",
-        "# meaning you can use it as you would any other runnable\n",
-        "\n",
-        "# We add in `interrupt_before=[\"action\"]`\n",
-        "# This will add a breakpoint before the `action` node is called\n",
-        "app = workflow.compile(checkpointer=memory, interrupt_before=[\"action\"])\n",
-        "\n",
-        "display(Image(app.get_graph().draw_mermaid_png()))"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "2a1b56c5-bd61-4192-8bdb-458a1e9f0159",
-      "metadata": {},
-      "source": [
-        "## Interacting with the Agent\n",
-        "\n",
-        "We can now interact with the agent.\n",
-        "\n",
-        "We see that it stops before calling a tool, because `interrupt_before` is set before the `action` node."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 11,
-      "id": "cfd140f0-a5a6-4697-8115-322242f197b5",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "================================\u001b[1m Human Message \u001b[0m=================================\n",
-            "\n",
-            "search for the weather in sf now\n",
-            "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
-            "\n",
-            "[{'text': \"Certainly! I'll search for the current weather in San Francisco for you. Let me use the search function to find this information.\", 'type': 'text'}, {'text': None, 'type': 'tool_use', 'id': 'toolu_011ezBx5hKKjVJwqnECNPyyC', 'name': 'search', 'input': {'query': 'current weather in San Francisco'}}]\n"
-          ]
-        }
-      ],
-      "source": [
-        "from langchain_core.messages import HumanMessage\n",
-        "\n",
-        "thread = {\"configurable\": {\"thread_id\": \"3\"}}\n",
-        "inputs = [HumanMessage(content=\"search for the weather in sf now\")]\n",
-        "for event in app.stream({\"messages\": inputs}, thread, stream_mode=\"values\"):\n",
-        "    event[\"messages\"][-1].pretty_print()"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "1bca3814-db08-4b0b-8c0c-95b6c5440c81",
-      "metadata": {},
-      "source": [
-        "**Resume**\n",
-        "\n",
-        "We can now call the agent again with no inputs to continue.\n",
-        "\n",
-        "This will run the tool as requested.\n",
-        "\n",
-        "Running an interrupted graph with `None` in the inputs means to `proceed as if the interruption didn't occur.`"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 6,
-      "id": "51923913-20f7-4ee1-b9ba-d01f5fb2869b",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
-            "Name: search\n",
-            "\n",
-            "[\"It's sunny in San Francisco, but you better look out if you're a Gemini \\ud83d\\ude08.\"]\n",
-            "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
-            "\n",
-            "Based on the search results, I can provide you with information about the current weather in San Francisco:\n",
-            "\n",
-            "The weather in San Francisco right now is sunny. \n",
-            "\n",
-            "It's worth noting that the search result includes a playful reference to astrology, suggesting that Geminis should \"look out.\" However, this is likely just a humorous addition and not related to the actual weather conditions.\n",
-            "\n",
-            "Is there anything else you'd like to know about the weather in San Francisco or any other location?\n"
-          ]
-        }
-      ],
-      "source": [
-        "for event in app.stream(None, thread, stream_mode=\"values\"):\n",
-        "    event[\"messages\"][-1].pretty_print()"
-      ]
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3 (ipykernel)",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.11.8"
+ "cells": [
+  {
+   "attachments": {
+    "b5aa6d4c-8dfd-490d-a53c-69c1368cd5b5.png": {
+     "image/png": 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"
     }
+   },
+   "cell_type": "markdown",
+   "id": "51466c8d-8ce4-4b3d-be4e-18fdbeda5f53",
+   "metadata": {},
+   "source": [
+    "# How to add breakpoints\n",
+    "\n",
+    "Human-in-the-loop (HIL) interactions are crucial for [agentic systems](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#human-in-the-loop). [Breakpoints](https://langchain-ai.github.io/langgraph/concepts/low_level/#breakpoints) are a common HIL interaction pattern, allowing the graph to stop at specific steps and seek human approval before proceeding (e.g., for sensitive actions). \n",
+    "\n",
+    "Breakpoints are built on top of LangGraph [checkpoints](https://langchain-ai.github.io/langgraph/concepts/low_level/#checkpointer), which save the graph's state after each node execution. Checkpoints are saved in [threads](https://langchain-ai.github.io/langgraph/concepts/low_level/#threads) that preserve graph state and can be accessed after a graph has finished execution. This allows for graph execution to pause at specific points, await human approval, and then resume execution from the last checkpoint.\n",
+    "\n",
+    "![Screenshot 2024-07-03 at 1.32.19 PM.png](attachment:b5aa6d4c-8dfd-490d-a53c-69c1368cd5b5.png)"
+   ]
   },
-  "nbformat": 4,
-  "nbformat_minor": 5
+  {
+   "cell_type": "markdown",
+   "id": "7cbd446a-808f-4394-be92-d45ab818953c",
+   "metadata": {},
+   "source": [
+    "## Setup\n",
+    "\n",
+    "First we need to install the packages required"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "af4ce0ba-7596-4e5f-8bf8-0b0bd6e62833",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture --no-stderr\n",
+    "%pip install --quiet -U langgraph langchain_anthropic"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0abe11f4-62ed-4dc4-8875-3db21e260d1d",
+   "metadata": {},
+   "source": [
+    "Next, we need to set API keys for Anthropic (the LLM we will use)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c903a1cf-2977-4e2d-ad7d-8b3946821d89",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ANTHROPIC_API_KEY:  ········\n"
+     ]
+    }
+   ],
+   "source": [
+    "import getpass\n",
+    "import os\n",
+    "\n",
+    "\n",
+    "def _set_env(var: str):\n",
+    "    if not os.environ.get(var):\n",
+    "        os.environ[var] = getpass.getpass(f\"{var}: \")\n",
+    "\n",
+    "\n",
+    "_set_env(\"ANTHROPIC_API_KEY\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f0ed46a8-effe-4596-b0e1-a6a29ee16f5c",
+   "metadata": {},
+   "source": [
+    "<div class=\"admonition tip\">\n",
+    "    <p class=\"admonition-title\">Set up <a href=\"https://smith.langchain.com\">LangSmith</a> for LangGraph development</p>\n",
+    "    <p style=\"padding-top: 5px;\">\n",
+    "        Sign up for LangSmith to quickly spot issues and improve the performance of your LangGraph projects. LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started <a href=\"https://docs.smith.langchain.com\">here</a>. \n",
+    "    </p>\n",
+    "</div>    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "131fd44d-c0f8-473a-ae80-4b4668ad7f47",
+   "metadata": {},
+   "source": [
+    "## Simple Usage\n",
+    "\n",
+    "Let's look at very basic usage of this.\n",
+    "\n",
+    "Below, we do two things:\n",
+    "\n",
+    "1) We specify the [breakpoint](https://langchain-ai.github.io/langgraph/concepts/low_level/#breakpoints) using `interrupt_before` the specified step.\n",
+    "\n",
+    "2) We set up a [checkpointer](https://langchain-ai.github.io/langgraph/concepts/low_level/#checkpointer) to save the state of the graph."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "9b53f191-1e86-4881-a667-d46a3d66958b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/jpeg": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from typing import TypedDict\n",
+    "from langgraph.graph import StateGraph, START, END\n",
+    "from langgraph.checkpoint.memory import MemorySaver\n",
+    "from IPython.display import Image, display\n",
+    "\n",
+    "\n",
+    "class State(TypedDict):\n",
+    "    input: str\n",
+    "\n",
+    "\n",
+    "def step_1(state):\n",
+    "    print(\"---Step 1---\")\n",
+    "    pass\n",
+    "\n",
+    "\n",
+    "def step_2(state):\n",
+    "    print(\"---Step 2---\")\n",
+    "    pass\n",
+    "\n",
+    "\n",
+    "def step_3(state):\n",
+    "    print(\"---Step 3---\")\n",
+    "    pass\n",
+    "\n",
+    "\n",
+    "builder = StateGraph(State)\n",
+    "builder.add_node(\"step_1\", step_1)\n",
+    "builder.add_node(\"step_2\", step_2)\n",
+    "builder.add_node(\"step_3\", step_3)\n",
+    "builder.add_edge(START, \"step_1\")\n",
+    "builder.add_edge(\"step_1\", \"step_2\")\n",
+    "builder.add_edge(\"step_2\", \"step_3\")\n",
+    "builder.add_edge(\"step_3\", END)\n",
+    "\n",
+    "# Set up memory\n",
+    "memory = MemorySaver()\n",
+    "\n",
+    "# Add\n",
+    "graph = builder.compile(checkpointer=memory, interrupt_before=[\"step_3\"])\n",
+    "\n",
+    "# View\n",
+    "display(Image(graph.get_graph().draw_mermaid_png()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7d5f80f-9d8c-4a39-b198-24fe94132b41",
+   "metadata": {},
+   "source": [
+    "We create a [thread ID](https://langchain-ai.github.io/langgraph/concepts/low_level/#threads) for the checkpointer.\n",
+    "\n",
+    "We run until step 3, as defined with `interrupt_before`. \n",
+    "\n",
+    "After the user input / approval, [we resume execution](https://langchain-ai.github.io/langgraph/concepts/low_level/#breakpoints) by invoking the graph with `None`. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "dfe04a7f-988e-4a36-8ce8-2c49fab0130a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'input': 'hello world'}\n",
+      "---Step 1---\n",
+      "---Step 2---\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Do you want to go to Step 3? (yes/no):  yes\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "---Step 3---\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Input\n",
+    "initial_input = {\"input\": \"hello world\"}\n",
+    "\n",
+    "# Thread\n",
+    "thread = {\"configurable\": {\"thread_id\": \"1\"}}\n",
+    "\n",
+    "# Run the graph until the first interruption\n",
+    "for event in graph.stream(initial_input, thread, stream_mode=\"values\"):\n",
+    "    print(event)\n",
+    "\n",
+    "try:\n",
+    "    user_approval = input(\"Do you want to go to Step 3? (yes/no): \")\n",
+    "except:\n",
+    "    user_approval = \"yes\"\n",
+    "\n",
+    "if user_approval.lower() == \"yes\":\n",
+    "    # If approved, continue the graph execution\n",
+    "    for event in graph.stream(None, thread, stream_mode=\"values\"):\n",
+    "        print(event)\n",
+    "else:\n",
+    "    print(\"Operation cancelled by user.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3333b771",
+   "metadata": {},
+   "source": [
+    "## Agent\n",
+    "\n",
+    "In the context of agents, breakpoints are useful to manually approve certain agent actions.\n",
+    " \n",
+    "To show this, we will build a relatively simple ReAct-style agent that does tool calling. \n",
+    "\n",
+    "We'll add a breakpoint before the `action` node is called. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "6098e5cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Set up the tool\n",
+    "from langchain_anthropic import ChatAnthropic\n",
+    "from langchain_core.tools import tool\n",
+    "from langgraph.graph import MessagesState, START\n",
+    "from langgraph.prebuilt import ToolNode\n",
+    "from langgraph.graph import END, StateGraph\n",
+    "from langgraph.checkpoint.memory import MemorySaver\n",
+    "\n",
+    "\n",
+    "@tool\n",
+    "def search(query: str):\n",
+    "    \"\"\"Call to surf the web.\"\"\"\n",
+    "    # This is a placeholder for the actual implementation\n",
+    "    # Don't let the LLM know this though 😊\n",
+    "    return [\n",
+    "        \"It's sunny in San Francisco, but you better look out if you're a Gemini 😈.\"\n",
+    "    ]\n",
+    "\n",
+    "\n",
+    "tools = [search]\n",
+    "tool_node = ToolNode(tools)\n",
+    "\n",
+    "# Set up the model\n",
+    "\n",
+    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "model = model.bind_tools(tools)\n",
+    "\n",
+    "\n",
+    "# Define nodes and conditional edges\n",
+    "\n",
+    "\n",
+    "# Define the function that determines whether to continue or not\n",
+    "def should_continue(state):\n",
+    "    messages = state[\"messages\"]\n",
+    "    last_message = messages[-1]\n",
+    "    # If there is no function call, then we finish\n",
+    "    if not last_message.tool_calls:\n",
+    "        return \"end\"\n",
+    "    # Otherwise if there is, we continue\n",
+    "    else:\n",
+    "        return \"continue\"\n",
+    "\n",
+    "\n",
+    "# Define the function that calls the model\n",
+    "def call_model(state):\n",
+    "    messages = state[\"messages\"]\n",
+    "    response = model.invoke(messages)\n",
+    "    # We return a list, because this will get added to the existing list\n",
+    "    return {\"messages\": [response]}\n",
+    "\n",
+    "\n",
+    "# Define a new graph\n",
+    "workflow = StateGraph(MessagesState)\n",
+    "\n",
+    "# Define the two nodes we will cycle between\n",
+    "workflow.add_node(\"agent\", call_model)\n",
+    "workflow.add_node(\"action\", tool_node)\n",
+    "\n",
+    "# Set the entrypoint as `agent`\n",
+    "# This means that this node is the first one called\n",
+    "workflow.add_edge(START, \"agent\")\n",
+    "\n",
+    "# We now add a conditional edge\n",
+    "workflow.add_conditional_edges(\n",
+    "    # First, we define the start node. We use `agent`.\n",
+    "    # This means these are the edges taken after the `agent` node is called.\n",
+    "    \"agent\",\n",
+    "    # Next, we pass in the function that will determine which node is called next.\n",
+    "    should_continue,\n",
+    "    # Finally we pass in a mapping.\n",
+    "    # The keys are strings, and the values are other nodes.\n",
+    "    # END is a special node marking that the graph should finish.\n",
+    "    # What will happen is we will call `should_continue`, and then the output of that\n",
+    "    # will be matched against the keys in this mapping.\n",
+    "    # Based on which one it matches, that node will then be called.\n",
+    "    {\n",
+    "        # If `tools`, then we call the tool node.\n",
+    "        \"continue\": \"action\",\n",
+    "        # Otherwise we finish.\n",
+    "        \"end\": END,\n",
+    "    },\n",
+    ")\n",
+    "\n",
+    "# We now add a normal edge from `tools` to `agent`.\n",
+    "# This means that after `tools` is called, `agent` node is called next.\n",
+    "workflow.add_edge(\"action\", \"agent\")\n",
+    "\n",
+    "# Set up memory\n",
+    "memory = MemorySaver()\n",
+    "\n",
+    "# Finally, we compile it!\n",
+    "# This compiles it into a LangChain Runnable,\n",
+    "# meaning you can use it as you would any other runnable\n",
+    "\n",
+    "# We add in `interrupt_before=[\"action\"]`\n",
+    "# This will add a breakpoint before the `action` node is called\n",
+    "app = workflow.compile(checkpointer=memory, interrupt_before=[\"action\"])\n",
+    "\n",
+    "display(Image(app.get_graph().draw_mermaid_png()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a1b56c5-bd61-4192-8bdb-458a1e9f0159",
+   "metadata": {},
+   "source": [
+    "## Interacting with the Agent\n",
+    "\n",
+    "We can now interact with the agent.\n",
+    "\n",
+    "We see that it stops before calling a tool, because `interrupt_before` is set before the `action` node."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "cfd140f0-a5a6-4697-8115-322242f197b5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "\n",
+      "search for the weather in sf now\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "[{'text': \"Certainly! I'll search for the current weather in San Francisco for you. Let me use the search function to find this information.\", 'type': 'text'}, {'text': None, 'type': 'tool_use', 'id': 'toolu_011ezBx5hKKjVJwqnECNPyyC', 'name': 'search', 'input': {'query': 'current weather in San Francisco'}}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from langchain_core.messages import HumanMessage\n",
+    "\n",
+    "thread = {\"configurable\": {\"thread_id\": \"3\"}}\n",
+    "inputs = [HumanMessage(content=\"search for the weather in sf now\")]\n",
+    "for event in app.stream({\"messages\": inputs}, thread, stream_mode=\"values\"):\n",
+    "    event[\"messages\"][-1].pretty_print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1bca3814-db08-4b0b-8c0c-95b6c5440c81",
+   "metadata": {},
+   "source": [
+    "**Resume**\n",
+    "\n",
+    "We can now call the agent again with no inputs to continue.\n",
+    "\n",
+    "This will run the tool as requested.\n",
+    "\n",
+    "Running an interrupted graph with `None` in the inputs means to `proceed as if the interruption didn't occur.`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "51923913-20f7-4ee1-b9ba-d01f5fb2869b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
+      "Name: search\n",
+      "\n",
+      "[\"It's sunny in San Francisco, but you better look out if you're a Gemini \\ud83d\\ude08.\"]\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "Based on the search results, I can provide you with information about the current weather in San Francisco:\n",
+      "\n",
+      "The weather in San Francisco right now is sunny. \n",
+      "\n",
+      "It's worth noting that the search result includes a playful reference to astrology, suggesting that Geminis should \"look out.\" However, this is likely just a humorous addition and not related to the actual weather conditions.\n",
+      "\n",
+      "Is there anything else you'd like to know about the weather in San Francisco or any other location?\n"
+     ]
+    }
+   ],
+   "source": [
+    "for event in app.stream(None, thread, stream_mode=\"values\"):\n",
+    "    event[\"messages\"][-1].pretty_print()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
 }
diff --git a/examples/human_in_the_loop/dynamic_breakpoints.ipynb b/examples/human_in_the_loop/dynamic_breakpoints.ipynb
index 434d68789..5fc462063 100644
--- a/examples/human_in_the_loop/dynamic_breakpoints.ipynb
+++ b/examples/human_in_the_loop/dynamic_breakpoints.ipynb
@@ -413,9 +413,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/human_in_the_loop/wait-user-input.ipynb b/examples/human_in_the_loop/wait-user-input.ipynb
index f245367ca..5adadae60 100644
--- a/examples/human_in_the_loop/wait-user-input.ipynb
+++ b/examples/human_in_the_loop/wait-user-input.ipynb
@@ -1,648 +1,649 @@
 {
-  "cells": [
-    {
-      "attachments": {
-        "02ae42da-d1a4-4849-984a-6ab0bbf759bd.png": {
-          "image/png": 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"
-        }
-      },
-      "cell_type": "markdown",
-      "id": "51466c8d-8ce4-4b3d-be4e-18fdbeda5f53",
-      "metadata": {},
-      "source": [
-        "# How to wait for user input\n",
-        "\n",
-        "Human-in-the-loop (HIL) interactions are crucial for [agentic systems](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#human-in-the-loop). Waiting for human input is a common HIL interaction pattern, allowing the agent to ask the user clarifying questions and await input before proceeding. \n",
-        "\n",
-        "We can implement this in LangGraph using a [breakpoint](https://langchain-ai.github.io/langgraph/how-tos/human_in_the_loop/breakpoints/): breakpoints allow us to stop graph execution at a specific step. At this breakpoint, we can wait for human input. Once we have input from the user, we can add it to the graph state and proceed.\n",
-        "\n",
-        "![Screenshot 2024-07-08 at 5.26.26 PM.png](attachment:02ae42da-d1a4-4849-984a-6ab0bbf759bd.png)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "7cbd446a-808f-4394-be92-d45ab818953c",
-      "metadata": {},
-      "source": [
-        "## Setup\n",
-        "\n",
-        "First we need to install the packages required"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 1,
-      "id": "af4ce0ba-7596-4e5f-8bf8-0b0bd6e62833",
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "%%capture --no-stderr\n",
-        "%pip install --quiet -U langgraph langchain_anthropic langchain_openai"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "0abe11f4-62ed-4dc4-8875-3db21e260d1d",
-      "metadata": {},
-      "source": [
-        "Next, we need to set API keys for Anthropic and / or OpenAI (the LLM(s) we will use)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "c903a1cf-2977-4e2d-ad7d-8b3946821d89",
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "import getpass\n",
-        "import os\n",
-        "\n",
-        "\n",
-        "def _set_env(var: str):\n",
-        "    if not os.environ.get(var):\n",
-        "        os.environ[var] = getpass.getpass(f\"{var}: \")\n",
-        "\n",
-        "\n",
-        "_set_env(\"OPENAI_API_KEY\")\n",
-        "_set_env(\"ANTHROPIC_API_KEY\")"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "f0ed46a8-effe-4596-b0e1-a6a29ee16f5c",
-      "metadata": {},
-      "source": [
-        "<div class=\"admonition tip\">\n",
-        "    <p class=\"admonition-title\">Set up <a href=\"https://smith.langchain.com\">LangSmith</a> for LangGraph development</p>\n",
-        "    <p style=\"padding-top: 5px;\">\n",
-        "        Sign up for LangSmith to quickly spot issues and improve the performance of your LangGraph projects. LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started <a href=\"https://docs.smith.langchain.com\">here</a>. \n",
-        "    </p>\n",
-        "</div>    "
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "e6cf1fad-5ab6-49c5-b0c8-15a1b6e8cf21",
-      "metadata": {},
-      "source": [
-        "## Simple Usage\n",
-        "\n",
-        "Let's look at very basic usage of this. One intuitive approach is simply to create a node, `human_feedback`, that will get user feedback. This allows us to place our feedback gathering at a specific, chosen point in our graph.\n",
-        " \n",
-        "1) We specify the [breakpoint](https://langchain-ai.github.io/langgraph/concepts/low_level/#breakpoints) using `interrupt_before` our `human_feedback` node.\n",
-        "\n",
-        "2) We set up a [checkpointer](https://langchain-ai.github.io/langgraph/concepts/low_level/#checkpointer) to save the state of the graph up until this node.\n",
-        "\n",
-        "3) We use `.update_state` to update the state of the graph with the human response we get.\n",
-        "\n",
-        "* We [use the `as_node` parameter](https://langchain-ai.github.io/langgraph/concepts/low_level/#update-state) to apply this state update as the specified node, `human_feedback`.\n",
-        "* The graph will then resume execution as if the `human_feedback` node just acted."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 61,
-      "id": "58eae42d-be32-48da-8d0a-ab64471657d9",
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "image/jpeg": 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",
-            "text/plain": [
-              "<IPython.core.display.Image object>"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "from typing import TypedDict\n",
-        "from langgraph.graph import StateGraph, START, END\n",
-        "from langgraph.checkpoint.memory import MemorySaver\n",
-        "from IPython.display import Image, display\n",
-        "\n",
-        "\n",
-        "class State(TypedDict):\n",
-        "    input: str\n",
-        "    user_feedback: str\n",
-        "\n",
-        "\n",
-        "def step_1(state):\n",
-        "    print(\"---Step 1---\")\n",
-        "    pass\n",
-        "\n",
-        "\n",
-        "def human_feedback(state):\n",
-        "    print(\"---human_feedback---\")\n",
-        "    pass\n",
-        "\n",
-        "\n",
-        "def step_3(state):\n",
-        "    print(\"---Step 3---\")\n",
-        "    pass\n",
-        "\n",
-        "\n",
-        "builder = StateGraph(State)\n",
-        "builder.add_node(\"step_1\", step_1)\n",
-        "builder.add_node(\"human_feedback\", human_feedback)\n",
-        "builder.add_node(\"step_3\", step_3)\n",
-        "builder.add_edge(START, \"step_1\")\n",
-        "builder.add_edge(\"step_1\", \"human_feedback\")\n",
-        "builder.add_edge(\"human_feedback\", \"step_3\")\n",
-        "builder.add_edge(\"step_3\", END)\n",
-        "\n",
-        "# Set up memory\n",
-        "memory = MemorySaver()\n",
-        "\n",
-        "# Add\n",
-        "graph = builder.compile(checkpointer=memory, interrupt_before=[\"human_feedback\"])\n",
-        "\n",
-        "# View\n",
-        "display(Image(graph.get_graph().draw_mermaid_png()))"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "ce0fe2bc-86fc-465f-956c-729805d50404",
-      "metadata": {},
-      "source": [
-        "Run until our breakpoint at `step_2` - "
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 62,
-      "id": "eb8e7d47-e7c9-4217-b72c-08394a2c4d3e",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{'input': 'hello world'}\n",
-            "---Step 1---\n"
-          ]
-        }
-      ],
-      "source": [
-        "# Input\n",
-        "initial_input = {\"input\": \"hello world\"}\n",
-        "\n",
-        "# Thread\n",
-        "thread = {\"configurable\": {\"thread_id\": \"1\"}}\n",
-        "\n",
-        "# Run the graph until the first interruption\n",
-        "for event in graph.stream(initial_input, thread, stream_mode=\"values\"):\n",
-        "    print(event)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "28a7d545-ab19-4800-985b-62837d060809",
-      "metadata": {},
-      "source": [
-        "Now, we can just manually update our graph state with with the user input - "
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 63,
-      "id": "2165a1bc-1c5b-411f-9e9c-a2b9627e5d56",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Tell me how you want to update the state:  go to step 3!\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "--State after update--\n",
-            "StateSnapshot(values={'input': 'hello world', 'user_feedback': 'go to step 3!'}, next=('step_3',), config={'configurable': {'thread_id': '1', 'thread_ts': '1ef3e216-b8a2-6db4-8002-966ecca671d0'}}, metadata={'source': 'update', 'step': 2, 'writes': {'human_feedback': {'user_feedback': 'go to step 3!'}}}, created_at='2024-07-09T18:31:13.083519+00:00', parent_config=None)\n"
-          ]
-        },
-        {
-          "data": {
-            "text/plain": [
-              "('step_3',)"
-            ]
-          },
-          "execution_count": 63,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# Get user input\n",
-        "user_input = input(\"Tell me how you want to update the state: \")\n",
-        "\n",
-        "# We now update the state as if we are the human_feedback node\n",
-        "graph.update_state(thread, {\"user_feedback\": user_input}, as_node=\"human_feedback\")\n",
-        "\n",
-        "# We can check the state\n",
-        "print(\"--State after update--\")\n",
-        "print(graph.get_state(thread))\n",
-        "\n",
-        "# We can check the next node, showing that it is node 3 (which follows human_feedback)\n",
-        "graph.get_state(thread).next"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "ccc4a84a-02f2-4b79-a5a5-22173645526d",
-      "metadata": {},
-      "source": [
-        "We can proceed after our breakpoint - "
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 64,
-      "id": "3cca588f-e8d8-416b-aba7-0f3ae5e51598",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "---Step 3---\n"
-          ]
-        }
-      ],
-      "source": [
-        "# Continue the graph execution\n",
-        "for event in graph.stream(None, thread, stream_mode=\"values\"):\n",
-        "    print(event)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "a75a1060-47aa-4cc6-8c41-e6ba2e9d7923",
-      "metadata": {},
-      "source": [
-        "We can see our feedback was added to state - "
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 66,
-      "id": "2b83e5ca-8497-43ca-bff7-7203e654c4d3",
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "{'input': 'hello world', 'user_feedback': 'go to step 3!'}"
-            ]
-          },
-          "execution_count": 66,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "graph.get_state(thread).values"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "e36f89e5",
-      "metadata": {},
-      "source": [
-        "## Agent\n",
-        "\n",
-        "In the context of agents, waiting for user feedback is useful to ask clarifying questions.\n",
-        " \n",
-        "To show this, we will build a relatively simple ReAct-style agent that does tool calling. \n",
-        "\n",
-        "We will use OpenAI and / or Anthropic's models and a fake tool (just for demo purposes)."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 47,
-      "id": "f5319e01",
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "image/jpeg": 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",
-            "text/plain": [
-              "<IPython.core.display.Image object>"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "# Set up the state\n",
-        "from langgraph.graph import MessagesState, START\n",
-        "\n",
-        "# Set up the tool\n",
-        "# We will have one real tool - a search tool\n",
-        "# We'll also have one \"fake\" tool - a \"ask_human\" tool\n",
-        "# Here we define any ACTUAL tools\n",
-        "from langchain_core.tools import tool\n",
-        "from langgraph.prebuilt import ToolNode\n",
-        "\n",
-        "\n",
-        "@tool\n",
-        "def search(query: str):\n",
-        "    \"\"\"Call to surf the web.\"\"\"\n",
-        "    # This is a placeholder for the actual implementation\n",
-        "    # Don't let the LLM know this though 😊\n",
-        "    return [\n",
-        "        f\"I looked up: {query}. Result: It's sunny in San Francisco, but you better look out if you're a Gemini 😈.\"\n",
-        "    ]\n",
-        "\n",
-        "\n",
-        "tools = [search]\n",
-        "tool_node = ToolNode(tools)\n",
-        "\n",
-        "# Set up the model\n",
-        "from langchain_anthropic import ChatAnthropic\n",
-        "from langchain_openai import ChatOpenAI\n",
-        "\n",
-        "model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
-        "model = ChatOpenAI(model=\"gpt-4o\")\n",
-        "\n",
-        "# We are going \"bind\" all tools to the model\n",
-        "# We have the ACTUAL tools from above, but we also need a mock tool to ask a human\n",
-        "# Since `bind_tools` takes in tools but also just tool definitions,\n",
-        "# We can define a tool definition for `ask_human`\n",
-        "\n",
-        "from langchain_core.pydantic_v1 import BaseModel\n",
-        "\n",
-        "\n",
-        "class AskHuman(BaseModel):\n",
-        "    \"\"\"Ask the human a question\"\"\"\n",
-        "\n",
-        "    question: str\n",
-        "\n",
-        "\n",
-        "model = model.bind_tools(tools + [AskHuman])\n",
-        "\n",
-        "# Define nodes and conditional edges\n",
-        "\n",
-        "from langchain_core.messages import ToolMessage\n",
-        "\n",
-        "from langgraph.prebuilt import ToolInvocation\n",
-        "\n",
-        "\n",
-        "# Define the function that determines whether to continue or not\n",
-        "def should_continue(state):\n",
-        "    messages = state[\"messages\"]\n",
-        "    last_message = messages[-1]\n",
-        "    # If there is no function call, then we finish\n",
-        "    if not last_message.tool_calls:\n",
-        "        return \"end\"\n",
-        "    # If tool call is asking Human, we return that node\n",
-        "    # You could also add logic here to let some system know that there's something that requires Human input\n",
-        "    # For example, send a slack message, etc\n",
-        "    elif last_message.tool_calls[0][\"name\"] == \"AskHuman\":\n",
-        "        return \"ask_human\"\n",
-        "    # Otherwise if there is, we continue\n",
-        "    else:\n",
-        "        return \"continue\"\n",
-        "\n",
-        "\n",
-        "# Define the function that calls the model\n",
-        "def call_model(state):\n",
-        "    messages = state[\"messages\"]\n",
-        "    response = model.invoke(messages)\n",
-        "    # We return a list, because this will get added to the existing list\n",
-        "    return {\"messages\": [response]}\n",
-        "\n",
-        "\n",
-        "# We define a fake node to ask the human\n",
-        "def ask_human(state):\n",
-        "    pass\n",
-        "\n",
-        "\n",
-        "# Build the graph\n",
-        "\n",
-        "from langgraph.graph import END, StateGraph\n",
-        "\n",
-        "# Define a new graph\n",
-        "workflow = StateGraph(MessagesState)\n",
-        "\n",
-        "# Define the three nodes we will cycle between\n",
-        "workflow.add_node(\"agent\", call_model)\n",
-        "workflow.add_node(\"action\", tool_node)\n",
-        "workflow.add_node(\"ask_human\", ask_human)\n",
-        "\n",
-        "# Set the entrypoint as `agent`\n",
-        "# This means that this node is the first one called\n",
-        "workflow.add_edge(START, \"agent\")\n",
-        "\n",
-        "# We now add a conditional edge\n",
-        "workflow.add_conditional_edges(\n",
-        "    # First, we define the start node. We use `agent`.\n",
-        "    # This means these are the edges taken after the `agent` node is called.\n",
-        "    \"agent\",\n",
-        "    # Next, we pass in the function that will determine which node is called next.\n",
-        "    should_continue,\n",
-        "    # Finally we pass in a mapping.\n",
-        "    # The keys are strings, and the values are other nodes.\n",
-        "    # END is a special node marking that the graph should finish.\n",
-        "    # What will happen is we will call `should_continue`, and then the output of that\n",
-        "    # will be matched against the keys in this mapping.\n",
-        "    # Based on which one it matches, that node will then be called.\n",
-        "    {\n",
-        "        # If `tools`, then we call the tool node.\n",
-        "        \"continue\": \"action\",\n",
-        "        # We may ask the human\n",
-        "        \"ask_human\": \"ask_human\",\n",
-        "        # Otherwise we finish.\n",
-        "        \"end\": END,\n",
-        "    },\n",
-        ")\n",
-        "\n",
-        "# We now add a normal edge from `tools` to `agent`.\n",
-        "# This means that after `tools` is called, `agent` node is called next.\n",
-        "workflow.add_edge(\"action\", \"agent\")\n",
-        "\n",
-        "# After we get back the human response, we go back to the agent\n",
-        "workflow.add_edge(\"ask_human\", \"agent\")\n",
-        "\n",
-        "# Set up memory\n",
-        "from langgraph.checkpoint.memory import MemorySaver\n",
-        "\n",
-        "memory = MemorySaver()\n",
-        "\n",
-        "# Finally, we compile it!\n",
-        "# This compiles it into a LangChain Runnable,\n",
-        "# meaning you can use it as you would any other runnable\n",
-        "# We add a breakpoint BEFORE the `ask_human` node so it never executes\n",
-        "app = workflow.compile(checkpointer=memory, interrupt_before=[\"ask_human\"])\n",
-        "\n",
-        "display(Image(app.get_graph().draw_mermaid_png()))"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "2a1b56c5-bd61-4192-8bdb-458a1e9f0159",
-      "metadata": {},
-      "source": [
-        "## Interacting with the Agent\n",
-        "\n",
-        "We can now interact with the agent. Let's ask it to ask the user where they are, then tell them the weather. \n",
-        "\n",
-        "This should make it use the `ask_human` tool first, then use the normal tool."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 48,
-      "id": "cfd140f0-a5a6-4697-8115-322242f197b5",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "================================\u001b[1m Human Message \u001b[0m=================================\n",
-            "\n",
-            "Use the search tool to ask the user where they are, then look up the weather there\n",
-            "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
-            "Tool Calls:\n",
-            "  AskHuman (call_LDo62KBPQKZWxPI5IHxPBF0w)\n",
-            " Call ID: call_LDo62KBPQKZWxPI5IHxPBF0w\n",
-            "  Args:\n",
-            "    question: Can you tell me where you are located?\n"
-          ]
-        }
-      ],
-      "source": [
-        "from langchain_core.messages import HumanMessage\n",
-        "\n",
-        "config = {\"configurable\": {\"thread_id\": \"2\"}}\n",
-        "input_message = HumanMessage(\n",
-        "    content=\"Use the search tool to ask the user where they are, then look up the weather there\"\n",
-        ")\n",
-        "for event in app.stream({\"messages\": [input_message]}, config, stream_mode=\"values\"):\n",
-        "    event[\"messages\"][-1].pretty_print()"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "cc168c90-a374-4280-a9a6-8bc232dbb006",
-      "metadata": {},
-      "source": [
-        "We now want to update this thread with a response from the user. We then can kick off another run. \n",
-        "\n",
-        "Because we are treating this as a tool call, we will need to update the state as if it is a response from a tool call. In order to do this, we will need to check the state to get the ID of the tool call."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 50,
-      "id": "63598092-d565-4170-9773-e092d345f8c1",
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "('agent',)"
-            ]
-          },
-          "execution_count": 50,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "tool_call_id = app.get_state(config).values[\"messages\"][-1].tool_calls[0][\"id\"]\n",
-        "\n",
-        "# We now create the tool call with the id and the response we want\n",
-        "tool_message = [\n",
-        "    {\"tool_call_id\": tool_call_id, \"type\": \"tool\", \"content\": \"san francisco\"}\n",
-        "]\n",
-        "\n",
-        "# # This is equivalent to the below, either one works\n",
-        "# from langchain_core.messages import ToolMessage\n",
-        "# tool_message = [ToolMessage(tool_call_id=tool_call_id, content=\"san francisco\")]\n",
-        "\n",
-        "# We now update the state\n",
-        "# Notice that we are also specifying `as_node=\"ask_human\"`\n",
-        "# This will apply this update as this node,\n",
-        "# which will make it so that afterwards it continues as normal\n",
-        "app.update_state(config, {\"messages\": tool_message}, as_node=\"ask_human\")\n",
-        "\n",
-        "# We can check the state\n",
-        "# We can see that the state currently has the `agent` node next\n",
-        "# This is based on how we define our graph,\n",
-        "# where after the `ask_human` node goes (which we just triggered)\n",
-        "# there is an edge to the `agent` node\n",
-        "app.get_state(config).next"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "6a30c9fb-2a40-45cc-87ba-406c11c9f0cf",
-      "metadata": {},
-      "source": [
-        "We can now tell the agent to continue. We can just pass in `None` as the input to the graph, since no additional input is needed"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 51,
-      "id": "a9f599b5-1a55-406b-a76b-f52b3ca06975",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
-            "Tool Calls:\n",
-            "  search (call_LJlkCFfHvAS2taKHTaMmORE5)\n",
-            " Call ID: call_LJlkCFfHvAS2taKHTaMmORE5\n",
-            "  Args:\n",
-            "    query: current weather in San Francisco\n",
-            "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
-            "Name: search\n",
-            "\n",
-            "[\"I looked up: current weather in San Francisco. Result: It's sunny in San Francisco, but you better look out if you're a Gemini \\ud83d\\ude08.\"]\n",
-            "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
-            "\n",
-            "The current weather in San Francisco is sunny. Enjoy the good weather! 🌞\n"
-          ]
-        }
-      ],
-      "source": [
-        "for event in app.stream(None, config, stream_mode=\"values\"):\n",
-        "    event[\"messages\"][-1].pretty_print()"
-      ]
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3 (ipykernel)",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.11.8"
+ "cells": [
+  {
+   "attachments": {
+    "02ae42da-d1a4-4849-984a-6ab0bbf759bd.png": {
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"
     }
+   },
+   "cell_type": "markdown",
+   "id": "51466c8d-8ce4-4b3d-be4e-18fdbeda5f53",
+   "metadata": {},
+   "source": [
+    "# How to wait for user input\n",
+    "\n",
+    "Human-in-the-loop (HIL) interactions are crucial for [agentic systems](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#human-in-the-loop). Waiting for human input is a common HIL interaction pattern, allowing the agent to ask the user clarifying questions and await input before proceeding. \n",
+    "\n",
+    "We can implement this in LangGraph using a [breakpoint](https://langchain-ai.github.io/langgraph/how-tos/human_in_the_loop/breakpoints/): breakpoints allow us to stop graph execution at a specific step. At this breakpoint, we can wait for human input. Once we have input from the user, we can add it to the graph state and proceed.\n",
+    "\n",
+    "![Screenshot 2024-07-08 at 5.26.26 PM.png](attachment:02ae42da-d1a4-4849-984a-6ab0bbf759bd.png)"
+   ]
   },
-  "nbformat": 4,
-  "nbformat_minor": 5
+  {
+   "cell_type": "markdown",
+   "id": "7cbd446a-808f-4394-be92-d45ab818953c",
+   "metadata": {},
+   "source": [
+    "## Setup\n",
+    "\n",
+    "First we need to install the packages required"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "af4ce0ba-7596-4e5f-8bf8-0b0bd6e62833",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture --no-stderr\n",
+    "%pip install --quiet -U langgraph langchain_anthropic langchain_openai"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0abe11f4-62ed-4dc4-8875-3db21e260d1d",
+   "metadata": {},
+   "source": [
+    "Next, we need to set API keys for Anthropic and / or OpenAI (the LLM(s) we will use)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c903a1cf-2977-4e2d-ad7d-8b3946821d89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import getpass\n",
+    "import os\n",
+    "\n",
+    "\n",
+    "def _set_env(var: str):\n",
+    "    if not os.environ.get(var):\n",
+    "        os.environ[var] = getpass.getpass(f\"{var}: \")\n",
+    "\n",
+    "\n",
+    "_set_env(\"OPENAI_API_KEY\")\n",
+    "_set_env(\"ANTHROPIC_API_KEY\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f0ed46a8-effe-4596-b0e1-a6a29ee16f5c",
+   "metadata": {},
+   "source": [
+    "<div class=\"admonition tip\">\n",
+    "    <p class=\"admonition-title\">Set up <a href=\"https://smith.langchain.com\">LangSmith</a> for LangGraph development</p>\n",
+    "    <p style=\"padding-top: 5px;\">\n",
+    "        Sign up for LangSmith to quickly spot issues and improve the performance of your LangGraph projects. LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started <a href=\"https://docs.smith.langchain.com\">here</a>. \n",
+    "    </p>\n",
+    "</div>    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e6cf1fad-5ab6-49c5-b0c8-15a1b6e8cf21",
+   "metadata": {},
+   "source": [
+    "## Simple Usage\n",
+    "\n",
+    "Let's look at very basic usage of this. One intuitive approach is simply to create a node, `human_feedback`, that will get user feedback. This allows us to place our feedback gathering at a specific, chosen point in our graph.\n",
+    " \n",
+    "1) We specify the [breakpoint](https://langchain-ai.github.io/langgraph/concepts/low_level/#breakpoints) using `interrupt_before` our `human_feedback` node.\n",
+    "\n",
+    "2) We set up a [checkpointer](https://langchain-ai.github.io/langgraph/concepts/low_level/#checkpointer) to save the state of the graph up until this node.\n",
+    "\n",
+    "3) We use `.update_state` to update the state of the graph with the human response we get.\n",
+    "\n",
+    "* We [use the `as_node` parameter](https://langchain-ai.github.io/langgraph/concepts/low_level/#update-state) to apply this state update as the specified node, `human_feedback`.\n",
+    "* The graph will then resume execution as if the `human_feedback` node just acted."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "58eae42d-be32-48da-8d0a-ab64471657d9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/jpeg": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from typing import TypedDict\n",
+    "from langgraph.graph import StateGraph, START, END\n",
+    "from langgraph.checkpoint.memory import MemorySaver\n",
+    "from IPython.display import Image, display\n",
+    "\n",
+    "\n",
+    "class State(TypedDict):\n",
+    "    input: str\n",
+    "    user_feedback: str\n",
+    "\n",
+    "\n",
+    "def step_1(state):\n",
+    "    print(\"---Step 1---\")\n",
+    "    pass\n",
+    "\n",
+    "\n",
+    "def human_feedback(state):\n",
+    "    print(\"---human_feedback---\")\n",
+    "    pass\n",
+    "\n",
+    "\n",
+    "def step_3(state):\n",
+    "    print(\"---Step 3---\")\n",
+    "    pass\n",
+    "\n",
+    "\n",
+    "builder = StateGraph(State)\n",
+    "builder.add_node(\"step_1\", step_1)\n",
+    "builder.add_node(\"human_feedback\", human_feedback)\n",
+    "builder.add_node(\"step_3\", step_3)\n",
+    "builder.add_edge(START, \"step_1\")\n",
+    "builder.add_edge(\"step_1\", \"human_feedback\")\n",
+    "builder.add_edge(\"human_feedback\", \"step_3\")\n",
+    "builder.add_edge(\"step_3\", END)\n",
+    "\n",
+    "# Set up memory\n",
+    "memory = MemorySaver()\n",
+    "\n",
+    "# Add\n",
+    "graph = builder.compile(checkpointer=memory, interrupt_before=[\"human_feedback\"])\n",
+    "\n",
+    "# View\n",
+    "display(Image(graph.get_graph().draw_mermaid_png()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ce0fe2bc-86fc-465f-956c-729805d50404",
+   "metadata": {},
+   "source": [
+    "Run until our breakpoint at `step_2` - "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "eb8e7d47-e7c9-4217-b72c-08394a2c4d3e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'input': 'hello world'}\n",
+      "---Step 1---\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Input\n",
+    "initial_input = {\"input\": \"hello world\"}\n",
+    "\n",
+    "# Thread\n",
+    "thread = {\"configurable\": {\"thread_id\": \"1\"}}\n",
+    "\n",
+    "# Run the graph until the first interruption\n",
+    "for event in graph.stream(initial_input, thread, stream_mode=\"values\"):\n",
+    "    print(event)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "28a7d545-ab19-4800-985b-62837d060809",
+   "metadata": {},
+   "source": [
+    "Now, we can just manually update our graph state with with the user input - "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "2165a1bc-1c5b-411f-9e9c-a2b9627e5d56",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tell me how you want to update the state:  go to step 3!\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--State after update--\n",
+      "StateSnapshot(values={'input': 'hello world', 'user_feedback': 'go to step 3!'}, next=('step_3',), config={'configurable': {'thread_id': '1', 'thread_ts': '1ef3e216-b8a2-6db4-8002-966ecca671d0'}}, metadata={'source': 'update', 'step': 2, 'writes': {'human_feedback': {'user_feedback': 'go to step 3!'}}}, created_at='2024-07-09T18:31:13.083519+00:00', parent_config=None)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "('step_3',)"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get user input\n",
+    "try:\n",
+    "    user_input = input(\"Tell me how you want to update the state: \")\n",
+    "except:\n",
+    "    user_input = \"go to step 3!\"\n",
+    "\n",
+    "# We now update the state as if we are the human_feedback node\n",
+    "graph.update_state(thread, {\"user_feedback\": user_input}, as_node=\"human_feedback\")\n",
+    "\n",
+    "# We can check the state\n",
+    "print(\"--State after update--\")\n",
+    "print(graph.get_state(thread))\n",
+    "\n",
+    "# We can check the next node, showing that it is node 3 (which follows human_feedback)\n",
+    "graph.get_state(thread).next"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ccc4a84a-02f2-4b79-a5a5-22173645526d",
+   "metadata": {},
+   "source": [
+    "We can proceed after our breakpoint - "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "3cca588f-e8d8-416b-aba7-0f3ae5e51598",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "---Step 3---\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Continue the graph execution\n",
+    "for event in graph.stream(None, thread, stream_mode=\"values\"):\n",
+    "    print(event)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a75a1060-47aa-4cc6-8c41-e6ba2e9d7923",
+   "metadata": {},
+   "source": [
+    "We can see our feedback was added to state - "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "2b83e5ca-8497-43ca-bff7-7203e654c4d3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'input': 'hello world', 'user_feedback': 'go to step 3!'}"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "graph.get_state(thread).values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e36f89e5",
+   "metadata": {},
+   "source": [
+    "## Agent\n",
+    "\n",
+    "In the context of agents, waiting for user feedback is useful to ask clarifying questions.\n",
+    " \n",
+    "To show this, we will build a relatively simple ReAct-style agent that does tool calling. \n",
+    "\n",
+    "We will use OpenAI and / or Anthropic's models and a fake tool (just for demo purposes)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "f5319e01",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/jpeg": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Set up the state\n",
+    "from langgraph.graph import MessagesState, START\n",
+    "\n",
+    "# Set up the tool\n",
+    "# We will have one real tool - a search tool\n",
+    "# We'll also have one \"fake\" tool - a \"ask_human\" tool\n",
+    "# Here we define any ACTUAL tools\n",
+    "from langchain_core.tools import tool\n",
+    "from langgraph.prebuilt import ToolNode\n",
+    "\n",
+    "\n",
+    "@tool\n",
+    "def search(query: str):\n",
+    "    \"\"\"Call to surf the web.\"\"\"\n",
+    "    # This is a placeholder for the actual implementation\n",
+    "    # Don't let the LLM know this though 😊\n",
+    "    return f\"I looked up: {query}. Result: It's sunny in San Francisco, but you better look out if you're a Gemini 😈.\"\n",
+    "\n",
+    "\n",
+    "tools = [search]\n",
+    "tool_node = ToolNode(tools)\n",
+    "\n",
+    "# Set up the model\n",
+    "from langchain_anthropic import ChatAnthropic\n",
+    "from langchain_openai import ChatOpenAI\n",
+    "\n",
+    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "model = ChatOpenAI(model=\"gpt-4o\")\n",
+    "\n",
+    "# We are going \"bind\" all tools to the model\n",
+    "# We have the ACTUAL tools from above, but we also need a mock tool to ask a human\n",
+    "# Since `bind_tools` takes in tools but also just tool definitions,\n",
+    "# We can define a tool definition for `ask_human`\n",
+    "\n",
+    "from langchain_core.pydantic_v1 import BaseModel\n",
+    "\n",
+    "\n",
+    "class AskHuman(BaseModel):\n",
+    "    \"\"\"Ask the human a question\"\"\"\n",
+    "\n",
+    "    question: str\n",
+    "\n",
+    "\n",
+    "model = model.bind_tools(tools + [AskHuman])\n",
+    "\n",
+    "# Define nodes and conditional edges\n",
+    "\n",
+    "from langchain_core.messages import ToolMessage\n",
+    "\n",
+    "from langgraph.prebuilt import ToolInvocation\n",
+    "\n",
+    "\n",
+    "# Define the function that determines whether to continue or not\n",
+    "def should_continue(state):\n",
+    "    messages = state[\"messages\"]\n",
+    "    last_message = messages[-1]\n",
+    "    # If there is no function call, then we finish\n",
+    "    if not last_message.tool_calls:\n",
+    "        return \"end\"\n",
+    "    # If tool call is asking Human, we return that node\n",
+    "    # You could also add logic here to let some system know that there's something that requires Human input\n",
+    "    # For example, send a slack message, etc\n",
+    "    elif last_message.tool_calls[0][\"name\"] == \"AskHuman\":\n",
+    "        return \"ask_human\"\n",
+    "    # Otherwise if there is, we continue\n",
+    "    else:\n",
+    "        return \"continue\"\n",
+    "\n",
+    "\n",
+    "# Define the function that calls the model\n",
+    "def call_model(state):\n",
+    "    messages = state[\"messages\"]\n",
+    "    response = model.invoke(messages)\n",
+    "    # We return a list, because this will get added to the existing list\n",
+    "    return {\"messages\": [response]}\n",
+    "\n",
+    "\n",
+    "# We define a fake node to ask the human\n",
+    "def ask_human(state):\n",
+    "    pass\n",
+    "\n",
+    "\n",
+    "# Build the graph\n",
+    "\n",
+    "from langgraph.graph import END, StateGraph\n",
+    "\n",
+    "# Define a new graph\n",
+    "workflow = StateGraph(MessagesState)\n",
+    "\n",
+    "# Define the three nodes we will cycle between\n",
+    "workflow.add_node(\"agent\", call_model)\n",
+    "workflow.add_node(\"action\", tool_node)\n",
+    "workflow.add_node(\"ask_human\", ask_human)\n",
+    "\n",
+    "# Set the entrypoint as `agent`\n",
+    "# This means that this node is the first one called\n",
+    "workflow.add_edge(START, \"agent\")\n",
+    "\n",
+    "# We now add a conditional edge\n",
+    "workflow.add_conditional_edges(\n",
+    "    # First, we define the start node. We use `agent`.\n",
+    "    # This means these are the edges taken after the `agent` node is called.\n",
+    "    \"agent\",\n",
+    "    # Next, we pass in the function that will determine which node is called next.\n",
+    "    should_continue,\n",
+    "    # Finally we pass in a mapping.\n",
+    "    # The keys are strings, and the values are other nodes.\n",
+    "    # END is a special node marking that the graph should finish.\n",
+    "    # What will happen is we will call `should_continue`, and then the output of that\n",
+    "    # will be matched against the keys in this mapping.\n",
+    "    # Based on which one it matches, that node will then be called.\n",
+    "    {\n",
+    "        # If `tools`, then we call the tool node.\n",
+    "        \"continue\": \"action\",\n",
+    "        # We may ask the human\n",
+    "        \"ask_human\": \"ask_human\",\n",
+    "        # Otherwise we finish.\n",
+    "        \"end\": END,\n",
+    "    },\n",
+    ")\n",
+    "\n",
+    "# We now add a normal edge from `tools` to `agent`.\n",
+    "# This means that after `tools` is called, `agent` node is called next.\n",
+    "workflow.add_edge(\"action\", \"agent\")\n",
+    "\n",
+    "# After we get back the human response, we go back to the agent\n",
+    "workflow.add_edge(\"ask_human\", \"agent\")\n",
+    "\n",
+    "# Set up memory\n",
+    "from langgraph.checkpoint.memory import MemorySaver\n",
+    "\n",
+    "memory = MemorySaver()\n",
+    "\n",
+    "# Finally, we compile it!\n",
+    "# This compiles it into a LangChain Runnable,\n",
+    "# meaning you can use it as you would any other runnable\n",
+    "# We add a breakpoint BEFORE the `ask_human` node so it never executes\n",
+    "app = workflow.compile(checkpointer=memory, interrupt_before=[\"ask_human\"])\n",
+    "\n",
+    "display(Image(app.get_graph().draw_mermaid_png()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a1b56c5-bd61-4192-8bdb-458a1e9f0159",
+   "metadata": {},
+   "source": [
+    "## Interacting with the Agent\n",
+    "\n",
+    "We can now interact with the agent. Let's ask it to ask the user where they are, then tell them the weather. \n",
+    "\n",
+    "This should make it use the `ask_human` tool first, then use the normal tool."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "cfd140f0-a5a6-4697-8115-322242f197b5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "\n",
+      "Use the search tool to ask the user where they are, then look up the weather there\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "Tool Calls:\n",
+      "  AskHuman (call_LDo62KBPQKZWxPI5IHxPBF0w)\n",
+      " Call ID: call_LDo62KBPQKZWxPI5IHxPBF0w\n",
+      "  Args:\n",
+      "    question: Can you tell me where you are located?\n"
+     ]
+    }
+   ],
+   "source": [
+    "from langchain_core.messages import HumanMessage\n",
+    "\n",
+    "config = {\"configurable\": {\"thread_id\": \"2\"}}\n",
+    "input_message = HumanMessage(\n",
+    "    content=\"Use the search tool to ask the user where they are, then look up the weather there\"\n",
+    ")\n",
+    "for event in app.stream({\"messages\": [input_message]}, config, stream_mode=\"values\"):\n",
+    "    event[\"messages\"][-1].pretty_print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc168c90-a374-4280-a9a6-8bc232dbb006",
+   "metadata": {},
+   "source": [
+    "We now want to update this thread with a response from the user. We then can kick off another run. \n",
+    "\n",
+    "Because we are treating this as a tool call, we will need to update the state as if it is a response from a tool call. In order to do this, we will need to check the state to get the ID of the tool call."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "63598092-d565-4170-9773-e092d345f8c1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('agent',)"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tool_call_id = app.get_state(config).values[\"messages\"][-1].tool_calls[0][\"id\"]\n",
+    "\n",
+    "# We now create the tool call with the id and the response we want\n",
+    "tool_message = [\n",
+    "    {\"tool_call_id\": tool_call_id, \"type\": \"tool\", \"content\": \"san francisco\"}\n",
+    "]\n",
+    "\n",
+    "# # This is equivalent to the below, either one works\n",
+    "# from langchain_core.messages import ToolMessage\n",
+    "# tool_message = [ToolMessage(tool_call_id=tool_call_id, content=\"san francisco\")]\n",
+    "\n",
+    "# We now update the state\n",
+    "# Notice that we are also specifying `as_node=\"ask_human\"`\n",
+    "# This will apply this update as this node,\n",
+    "# which will make it so that afterwards it continues as normal\n",
+    "app.update_state(config, {\"messages\": tool_message}, as_node=\"ask_human\")\n",
+    "\n",
+    "# We can check the state\n",
+    "# We can see that the state currently has the `agent` node next\n",
+    "# This is based on how we define our graph,\n",
+    "# where after the `ask_human` node goes (which we just triggered)\n",
+    "# there is an edge to the `agent` node\n",
+    "app.get_state(config).next"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6a30c9fb-2a40-45cc-87ba-406c11c9f0cf",
+   "metadata": {},
+   "source": [
+    "We can now tell the agent to continue. We can just pass in `None` as the input to the graph, since no additional input is needed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "a9f599b5-1a55-406b-a76b-f52b3ca06975",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "Tool Calls:\n",
+      "  search (call_LJlkCFfHvAS2taKHTaMmORE5)\n",
+      " Call ID: call_LJlkCFfHvAS2taKHTaMmORE5\n",
+      "  Args:\n",
+      "    query: current weather in San Francisco\n",
+      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
+      "Name: search\n",
+      "\n",
+      "[\"I looked up: current weather in San Francisco. Result: It's sunny in San Francisco, but you better look out if you're a Gemini \\ud83d\\ude08.\"]\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "The current weather in San Francisco is sunny. Enjoy the good weather! 🌞\n"
+     ]
+    }
+   ],
+   "source": [
+    "for event in app.stream(None, config, stream_mode=\"values\"):\n",
+    "    event[\"messages\"][-1].pretty_print()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
 }
diff --git a/examples/map-reduce.ipynb b/examples/map-reduce.ipynb
index 43509e81e..218f1e9f8 100644
--- a/examples/map-reduce.ipynb
+++ b/examples/map-reduce.ipynb
@@ -250,9 +250,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/memory/delete-messages.ipynb b/examples/memory/delete-messages.ipynb
index d797dda13..69495ee96 100644
--- a/examples/memory/delete-messages.ipynb
+++ b/examples/memory/delete-messages.ipynb
@@ -464,9 +464,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/pass-config-to-tools.ipynb b/examples/pass-config-to-tools.ipynb
index 05e5bf377..146e86132 100644
--- a/examples/pass-config-to-tools.ipynb
+++ b/examples/pass-config-to-tools.ipynb
@@ -402,9 +402,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/pass-run-time-values-to-tools.ipynb b/examples/pass-run-time-values-to-tools.ipynb
index 8a66ba49b..bc31fb45b 100644
--- a/examples/pass-run-time-values-to-tools.ipynb
+++ b/examples/pass-run-time-values-to-tools.ipynb
@@ -53,9 +53,13 @@
     "import getpass\n",
     "import os\n",
     "\n",
-    "os.environ[\"OPENAI_API_KEY\"] = os.environ.get(\"OPENAI_API_KEY\") or getpass.getpass(\n",
-    "    \"OpenAI API Key:\"\n",
-    ")"
+    "\n",
+    "def _set_env(var: str):\n",
+    "    if not os.environ.get(var):\n",
+    "        os.environ[var] = getpass.getpass(f\"{var}: \")\n",
+    "\n",
+    "\n",
+    "_set_env(\"OPENAI_API_KEY\")"
    ]
   },
   {
@@ -524,9 +528,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "poetry-venv-311",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "poetry-venv-311"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/persistence_mongodb.ipynb b/examples/persistence_mongodb.ipynb
index 8283cedcb..707988238 100644
--- a/examples/persistence_mongodb.ipynb
+++ b/examples/persistence_mongodb.ipynb
@@ -908,9 +908,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/persistence_postgres.ipynb b/examples/persistence_postgres.ipynb
index 6f37ef1dd..e499d6ae1 100644
--- a/examples/persistence_postgres.ipynb
+++ b/examples/persistence_postgres.ipynb
@@ -553,9 +553,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/persistence_redis.ipynb b/examples/persistence_redis.ipynb
index 6815d0f4b..30cacffb7 100644
--- a/examples/persistence_redis.ipynb
+++ b/examples/persistence_redis.ipynb
@@ -1000,9 +1000,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/state-model.ipynb b/examples/state-model.ipynb
index 38220eccd..00de60b5c 100644
--- a/examples/state-model.ipynb
+++ b/examples/state-model.ipynb
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "af4ce0ba-7596-4e5f-8bf8-0b0bd6e62833",
    "metadata": {},
    "outputs": [],
@@ -50,7 +50,15 @@
    "execution_count": 1,
    "id": "c903a1cf-2977-4e2d-ad7d-8b3946821d89",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "OPENAI_API_KEY:  ········\n"
+     ]
+    }
+   ],
    "source": [
     "import getpass\n",
     "import os\n",
@@ -91,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "d7ef57dd-5d6e-4ad3-9377-a92201c1310e",
    "metadata": {},
    "outputs": [],
@@ -104,7 +112,7 @@
     "    \"\"\"Call to surf the web.\"\"\"\n",
     "    # This is a placeholder for the actual implementation\n",
     "    # Don't let the LLM know this though 😊\n",
-    "    return [\"The answer to your question lies within.\"]\n",
+    "    return \"The answer to your question lies within.\"\n",
     "\n",
     "\n",
     "tools = [search]"
@@ -115,22 +123,19 @@
    "id": "01885785-b71a-44d1-b1d6-7b5b14d53b58",
    "metadata": {},
    "source": [
-    "We can now wrap these tools in a simple [ToolExecutor](https://langchain-ai.github.io/langgraph/reference/prebuilt/#toolexecutor).\n",
-    "This is a real simple class that takes in a [ToolInvocation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#toolinvocation) and calls that tool, returning the output.\n",
-    "\n",
-    "A ToolInvocation is any dict-like class with `tool` and `tool_input` attributes."
+    "We can now wrap these tools in a simple [tool-calling node](https://langchain-ai.github.io/langgraph/reference/prebuilt/#toolnode)."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "5cf3331e-ccb3-41c8-aeb9-a840a94d41e7",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.prebuilt import ToolExecutor\n",
+    "from langgraph.prebuilt import ToolNode\n",
     "\n",
-    "tool_executor = ToolExecutor(tools)"
+    "tool_node = ToolNode(tools)"
    ]
   },
   {
@@ -151,7 +156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "892b54b9-75f0-4804-9ed0-88b5e5532989",
    "metadata": {},
    "outputs": [],
@@ -173,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "cd3cbae5-d92c-4559-a4aa-44721b80d107",
    "metadata": {},
    "outputs": [],
@@ -201,7 +206,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "ea793afa-2eab-4901-910d-6eed90cd6564",
    "metadata": {},
    "outputs": [],
@@ -210,7 +215,7 @@
     "from typing import Annotated, Sequence\n",
     "\n",
     "from langchain_core.messages import BaseMessage\n",
-    "from langchain_core.pydantic_v1 import BaseModel\n",
+    "from pydantic.v1 import BaseModel\n",
     "\n",
     "\n",
     "class AgentState(BaseModel):\n",
@@ -250,7 +255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "3b541bb9-900c-40d0-964d-7b5dfee30667",
    "metadata": {},
    "outputs": [],
@@ -277,29 +282,7 @@
     "    messages = state.messages\n",
     "    response = model.invoke(messages)\n",
     "    # We return a list, because this will get added to the existing list\n",
-    "    return {\"messages\": [response]}\n",
-    "\n",
-    "\n",
-    "# Define the function to execute tools\n",
-    "def call_tool(state):\n",
-    "    messages = state.messages\n",
-    "    # Based on the continue condition\n",
-    "    # we know the last message involves a function call\n",
-    "    last_message = messages[-1]\n",
-    "    # We construct an ToolInvocation from the function_call\n",
-    "    tool_call = last_message.tool_calls[0]\n",
-    "    action = ToolInvocation(\n",
-    "        tool=tool_call[\"name\"],\n",
-    "        tool_input=tool_call[\"args\"],\n",
-    "    )\n",
-    "    # We call the tool_executor and get back a response\n",
-    "    response = tool_executor.invoke(action)\n",
-    "    # We use the response to create a ToolMessage\n",
-    "    tool_message = ToolMessage(\n",
-    "        content=str(response), name=action.tool, tool_call_id=tool_call[\"id\"]\n",
-    "    )\n",
-    "    # We return a list, because this will get added to the existing list\n",
-    "    return {\"messages\": [tool_message]}"
+    "    return {\"messages\": [response]}"
    ]
   },
   {
@@ -314,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "813ae66c-3b58-4283-a02a-36da72a2ab90",
    "metadata": {},
    "outputs": [],
@@ -326,7 +309,7 @@
     "\n",
     "# Define the two nodes we will cycle between\n",
     "workflow.add_node(\"agent\", call_model)\n",
-    "workflow.add_node(\"action\", call_tool)\n",
+    "workflow.add_node(\"action\", tool_node)\n",
     "\n",
     "# Set the entrypoint as `agent`\n",
     "# This means that this node is the first one called\n",
@@ -365,13 +348,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "e09aaa63",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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/AEbX/wC2FzLh4W/1baX/AEbX/wC2FN33M9Y+0p+C0oiLnIEREBERAREQEREBERAREQEREBERAREQEREFAwX4x6y/Szf5OspxRGpq93St+/l6VOTK1bpbLPSgd/pDZWtbHzRNPR4LWt3b0ILd+vMeXj8LZ/5m5P0qn9+uxpciKqZjhHxiOEY+MrYym0UJ4Wz/AMzcn6VT+/Twtn/mbk/Sqf36js/1R+6n1MJtFner+M1bQeb03iM9g72OyOorRpYyB9iq42JQB5O4mIb3tG7thu4Dfcq0+Fs/8zcn6VT+/Ts/1R+6n1MJtFCeFs/8zcn6VT+/Twtn/mbk/Sqf36dn+qP3U+phNrh4W/1baX/Rtf8A7YUHksjqZ2LtvraXuVZmRPcHTTV5HdBv5DGSnnf38rSWgnYFzQdxctNw0qeEpUcfI59anBFA1su4lYBG0tEgIBDuUtJDgD17lhfmKbe5mJmZjhOeGeXU4Qk0RFz1RERAREQEREBERAREQEREBERAREQEREBRuUzIouEFas/JXi+IGpXewPjY9/L2r+ZwDWNAe4nvIY4NDnbNPHkctMbUdHHRGxYkdJFLZAa+Ki4Rc7XTN5mk7l0YDAeYh+/RoLhy4fCQ4lheXG3kJY4mWsjLGxs1pzGBofJyNa3fvOzQGguOwG6DgxWnxBZiyOSdDkM2yOWFt4QhhjhfLzmJnfyt8mMHzv7JhduWjaYREBERB4J9mp7Gfifxe47aXy2Nz+Cp4q3YjxGAinszslrSx1JrkkkobC4N3dXm2LS4/wCzBA68vt3Rkech0niI9TOpv1AytGy/JQe58D5gNnOYXNadieuxaNt9vMqtxODDrbhJzOcHDVE/KAN9z4Fyff16dN/h/wD2NCQEREBQ93TjH3vb2PmGLvSTwy2p4IWE2449x2cm46gtc4AjYg8p32GxmEQQmJ1I2xar4zJshxmfkgkseDhOJOeNknI6SN2w52blhJ2BaJI+ZrS4BTa6uUx0eXx1mnK+aJk8bozLXldFKzmBHMx7SHMcN+jgQQe5RXhizgbPY5dwfTmswVKNyNjnve5zNvw4awNjJkaQHdGkyMb0cQCE+iIgIiICIiAiIgIiIC6fhan8YYu4sy1HqPF6RwlzMZq9BjcXUZ2k9qw/lYxvd1P0kgAd5JAHVBoPhan8YYnhan8YYsUxnHLRGV09l85Hmva2LxLWPuz36k9Tsg/fkPLKxrncxGzeUHc9BuV+KXHnQl/T+YzTM8IaGHMQyBtVZ68tUSECNz4pGNka1xPR3Lsdid9gUG3eFqfxhieFqfxhiw6LjtpDIYrUFvG3pr0+FpG/PTNKxFM+HY8r42OjDpGOLSA9gc36VUv/ABJ0cpwMq61qvZhMhYjqx7ZfF3304LMrWvLS6OEOkj25gJWDkJ5fK6gIPT3han8YYorO5t08T8fjrD6tqxE7lyIia+Or3DmIcRzO6ktGzhuPKG3fkep+PmhdI5fJ4rJ5z2vkMY5jb0TadiUVA9jJGvlcyMhjC17TzuIbvuN9wQLRj9XYbIaju4GpcbNlKlaG9PC1jthDMXiN4ftyu5jG/uJI267bhBoNKXE47t/avYwGeV08pYNjJI7vc4+c9APqAHcAux4Wp/l2rErXHjQ1TTWEzz82X47Ntc/HCCnPLPZa33zmwNjMuzfOeXYbjfbcK06W1ViNa4StmMHfiyWNsb9nYhPQkEhwIPUEEEEEAggghBqCIiAiIgoHEWUnXPCyFu/Mc/Yldtv71uKvtO+xHTd7e/cdR032Iv6z3JHw7x0wtVvlQ6fwti9OOUHaa1I2Kud/N5EFzp59x8HXQkBERAREQEREFchqSaNjYyqwyacggkc6AGWezDIZQ4cm5O8Qa9/kD3gjY1gI8kS/han8YYuW9/QrH+G7/JZbq/WeF4f4g5TOX48fRMrYg5zXPfJI73rI2NBc9x2PktBJ6nzFBpvhan8YYnhan8YYsRj49aCfpqXPnUUMOLhuR0J5J4JYnwTv25GSxuYHxk7j37QNjv3KQ0/xb0lqXG5m/Ty7Yq+GHNkvb8EtN9RvLzh0jJmsc1paCQ4jYgHYnZBr3han8YYueCxHZYXRPD2g7bj4V5p0l7ITF8QeL2P01puxFewsuDs5OaealYrziRk0LI+TtA0Ojc2R53DSCQNndCF6F01/QZP8Q/5BBLIiICIiAvOXsitNZXUOisXYxOOkzUmGzlDMWMTERz3oIJg+SJocQC7bygD3loC9Gqo+Bbv5A/tD1oPPHEzO3+LOjal3DaQ1K0aczuMzM2OyuNdTlyMUU3NLFCyQgvc1o5tiACQ0AuVD4t4jP8VjxA1RiNKZ2ljnacpYWvWv46SG5kJxfE7nMrkdpyxsO25A35nbbgbr2H4Fu/kD+0PWngW7+QP7Q9aDEtVaYyeV49y2K9Kf2lY0Ndx/t4xO7ATutRFkbpNtubbmIbvvtuVnlhuZ1B7D2bR7NKahqaiwmLxmOnpWcZK0zyxSxNeYCARM0CIu5mbjYgr1h4Fu/kD+0PWngW7+QP7Q9aDzrkdNZS1c9kg4Ym7JHl6UUVD/AEZ5F0jFCMiLp+E8vdvk79eneujox+Y4aa0pZXIaYz2Sgy2jMRSi8HUHzOjt1+17SCb8i49q3ypOVvfu4bFejMZXmyTbHYRSuNed9eTtWGMh7T125ttx1Gzh0I6gldzwLd/IH9oetB4e0Vw+zOlsbw0zuosBrQ4hmlDh7NbTUlyvkMfaFp8oMsMDmSlj2uAPQ7FjSQOhXp/hBpzE6d0cx2HxeXw8OQsy35q2dmklu9q93lPlMj3u5nbB2xdv167HdaF4Fu/kD+0PWvowt3f/AGB/aHrQW1ERAXBdu18bSsW7czK1WvG6WWaVwayNjRu5xJ7gACd1zrO9dba+1JW0LD5eNY1l/ULwN2mtueyqH6Z3tJcOv4KKQHbtGEh2OElGe5jcnqy9C6G/qe14QbFI0tfDUDQypEQerSIWse5p7pJJFfERAREQEREBERBwXv6FY/w3f5Ly97JHSWRy2R0HqCvRzWWxOByM8mSpadsywX+zlgdE2aExOa9xY49WtO5a5w2I3XqO2wyVZmNG7nMcAPp2VW8C3fyB/aHrQeVMnoajewFDMaa01rJlu7rLBPvP1IbU9uWCtYY7ti2Z75GRNa94JcG7cp36AFfvjRw81HqrUvFhuJw9i2y5hsDLDG5hZDkTWtzSzV2vI5XOMY5dt/7bQehXqaXB3XsI9rlxHUAuA6ju86/NfG2bVeKaKMSxSND2PY9rmuBG4IIOxH0oMA0vqC3r32QmCz0GldSYTFVtLXakk+bxUlRrZnWazhFu7pzbNcfgOx2J2O3pvTX9Bk/xD/kFD+Bbv5A/tD1qdwVWWpUeyVnI4vJ2382wQSKIiAiIgIiICIiAiIgr7jJidZN/3tbgy8PL0AkpUpIQTv8A3ozK1/0sJhHvXO8uwKK1NiTmMPLCztfbET47MHYWXV3GWJ7ZGNLwDs0uaA4EEFpcCHAkHp47XGJsX8Zh716li9UXqTbo0/PdhddYzY8/kNcS8NcHNL27t3adigsKIiAiLis2YaVaWxYlZBXhYZJJZXBrGNA3LiT0AA67lBC611bFo7DC17XfevWJmVKGPicBJbsvOzI2nzDvc53cxjXvPktJXHoPS02lMF2V634SzVyQ3MpfDS0WbTgA9zWkktYA1rGN3PKxjG7nbcwujas2s8547ZCKSGsI318DSl/4VYu8q05vmknAaQD1ZEGDZrnytN9QEREBERAREQEREBERAVc4d1faGisTUFGnjGV4uwZUx83awRMa4ta1jvONgPq7vMrGq7w+qe0NI0YPBlfD8pl/0KrP28ce8rj0f599+Y/ASR5kFiREQEREBERAREQEREHTymYoYOr7ZyN2vQr8wZ2tmVsbeY9w3JHU/AoL3VNHfOjE+mR+tRjS3J64zktgdq/HOiq1g4biJromSPLfgLi8bnvIa0eYKZXQixbpiN/MzMROk4468pW0jirHEDU+ktdaNymCh4hR6dmuRhseUw+UbBaruDg5rmPa4EdQARuNwSPOvEPsXuGF/gt7MG/ktUajpZzGzULk8eqPboljtySubu6R5cS2Uku3D+pO56g7n+gqK3ZWeU+ceho4fdU0d86MT6ZH6091TR3zoxPpkfrXMidlZ5T5x6Gjh91TR3zoxPpkfrVF1RxC01rzUrNPzZ7Gw6UpCOzk5ZrDA3JSb80dRm58qIcofKfeu3ZH5QdK1ugInZWeU+ceho4fdU0d86MT6ZH61O4vMUM5V9s467Xv1+Ys7WtK2RvMO8bgnqPgUQoZxGM1xg5a47J+RdLVsho2ErWxPkYXfCWlh2PeA5w85VZsW6onczExEzrOeGvKDSV8REXPVEREBERARFXs5xB03pucwZHNU61kd9cyh0o+tg3d/wDhXot13J3aImZ8DisKKkHjTowEg5nu/wDizfYXz3atGfLP/SzfYXp7ntPyqvKU4lP6q1pp/QuNZkNS53GaeoPlELbWVuR1onSEEhge8gFxDXHbffofgVQ4NcRdG6mw0GG0/ntL2cjWZLPLidP5iG92EZlPl+Q4nYl7SSegL9lTuPmR4f8AG7hPqDSNvMMbJcgLqkz6k34Gw3yon+86bOAB+gkedYt7AbR2nOA2icrlNUW21NX5icsli7CR5r1ozsxnM1hHlHdx2P8Ad+BO57T8qrykxL3Eio/u1aM+Wf8ApZvsJ7tWjPln/pZvsJ3PaflVeUmJXhFUaXFrR9+ZsUeoKccjjs1tlxg3PmA5wOqtrXB7Q5pDmkbgjuKwuWrlqcXKZjrGDGH1ERZIEREBERBQcZ+OWsPzyD+VhU2oTGfjlrD88g/lYVNrr1/h6U/xhariIsk43ccMhwcfHYOAxt/EisbElq9qKvj5ZHNLuaKvDI0maQNAO27QeYAElfrLcdbGRyuCxGhtNP1Zlsnh4s+5li62hBVpSHaJ0kpa887zuAxrSfJcTsBusd6FWsosHyPEjiOOPGlMFBp2lDj7mm5r9zFWcu1vZSCxAySTtGQP5nRh/K1oIa/nJ3bsN+ObjU7ROreLNrMYzJS2MVZxdKjjIMr7aiuPsB7KwrxOjYK75C5hkHM8b9d/J6t6BviLDM77JLJaIxuq2as0X4Hz+Ew3h+GhWyjbUN6p2gjeWziNvK9jyA5pZ/aaQSDurVpPitlslxCbpLUelvFy7bxj8vj5I8g22JoWSMjkZJsxojlaZIyWgvbsTs47JvQNJULk/wAcdH/nk/8AKzKaULk/xx0f+eT/AMrMtqPxdKv4ymF9REXIQIiICIofWGZdp3SeaykY5pKVOawxu2+7msJA/WQFamma6opjjJxZlxL4j2b9+zhMPYfVp13GK3dgeWySSA7OiY4dWhp6OcOu+4G2x3zqvVhqs5IY2xt7yGjbc/CfhXypAa1aKIuL3NaA5573O87j9JO5/WuVfTdm2a3stuLduP8AfiiZERUzibxNo8NqNB9gQS3chOa9WG1bZUhJDS5zpJn+SxoA7+pJIABJW1ddNumaqp0VXNFjtT2Rde7iLctfEw5DKVMnTx0lTGZSKzC82XcsT452jld1BBDg0gg77d6mHcZhhK2qhqbDuxV/ARV531qdkWhZZOS2ERO5WEuc9pZsQNjt12O6wjabU6xP38fSUtKRZFp/VeqcrxqxVPOYmTTtZ+n7U4oR5IWYpXdvAA5waGgPaCR3Hbm6OPVa6tbdyLkTMfBD49jZGlrmhzT0II3BU5o3Wl3QdlnYdpaw7nfh8fzEhgJ6vh3964dTyjZruvcSHCERLtqi9RNu5GYlMTh6fo3YMnSr3KsrZ6tiNssUrDu17HDdrh9BBBXOs44F5J9nS16g87tx158MXTbaNzWSgfUDI4D6AtHXzXabPd71VrlK8iIi8yBERBQcZ+OWsPzyD+VhU2oTGfjlrD88g/lYVNrr1/h6U/xhariwziJwW1PneIOps1h36dtVtR4WLDvs5xkr7GJa0Sh5rMa0h7X9rzFpdH5TQdyungeDmv8AQM+lM5pu1p2xnammammcxj8lLO2pYZWJMU8MrIy9rxu7drmbEO233G539FhuxxVY9qHQfEGXWGkda4ybTU+pKWKs4nK07T7ENORk0kUnPA5rXvBa6IdHDqD3hR2tOAWW1XnuIeShyVKjYy9rDZLCTkPkNe1QHMDMzYDlc4AeSSeUk9D0W5Ip3YHnHXPAbXnFSjrLJ6juaepahyOm3acxVLGzTvpwMfM2aSWWV8YeXOcxg2azZob5ySVqOQ0DkLfGfTmrmTVhjcdg7mMlic53bOlmlrvaWjl2LQIXbkkHqOh819RN2AULk/xx0f8Ank/8rMppQuT/ABx0f+eT/wArMtqPxdKv4ymF9REXIQIiICiNX4Z2otJ5nFMPK+7Tmrtd8DnMLQf1EhS6K1NU0VRVHGDg8qVJzYrRyOaY3keWw97Hedp+kHcfqULqDXOL0xcZVvMyTpXxiQGnirVpmxJHV0Ubmg9D0J37unULY+JfDezTu2c3hq77Vedxlt0YIy6Rsh6uljaOrubvLQN9+o33IWbV7UNppMUjZOU7ODT1afgI8x+gr6VY2ina7faWp6+HgiY+Kpni1p8MDuyzmxJH4vZDf/l2H0qA1RU91CxiMxpaaStnNOWTNCzO4y1WrzslY5kkbu0jaSC3+00O5SBuOoWoItardVcbtcxjp/tDNszovU+qtP4yHJtwdPIVs9SyJjx7peyFeGVjy3mc3d7zs7byWjqB0711Nb8IL2scxq+wL0FOPK0KEVKUbukhsVppJWue3bbl5izuJJHN3dFqiKs7PRVGKtf/ACY/sZVSxOq8dratrPV/gmOpQxE2PdDgWWrUrnyTQuDxH2fMR5B6AEj6RuRYxxb0+f8AhZz9encgP/4K5Ippt1Uf4Tx56/3AqdHihg8jdgqwx5kSzyNjYZcDeiZuTsOZ7oQ1o+kkAecq2L8ySNiYXvcGMHUucdgFP6L0Td11YY6MSVcKHfhrzmFvat87Id/fE93ON2jr3kbJXcixRNy9VGI/7nKYjLQuBeNfW0rdvvGwyV588fXvja1kQP1Exlw+hy0dcFKnBjqcFSrE2CtBG2KKJg2axjRsGgfAAAFzr5xtN7vF6q7zlaREReZAiIgofk4rXGbisnsnZJ0Vms5/QShsTI3Nae4lpYNxvvs4HzqZUxksTRzVY1shTr3q5Id2NmJsjNx3HZwI3UD7lmjPmlhP4fF9ldCL9uqI38xMREaRnhpzhbSeLmRcPuWaM+aWE/h8X2U9yzRnzSwn8Pi+yp7Wzznyj1NHMi4fcs0Z80sJ/D4vsp7lmjPmlhP4fF9lO1s858o9TRzIuH3LNGfNLCfw+L7Ke5Zoz5pYT+HxfZTtbPOfKPU0cyhvJyut8JFWPbOxrpbNlzOoiDonxtDj3AkvOw79mk9wUn7lmjPmlhP4fF9lT2NxNHDVRWx9OvRrgl3Y1omxs3PedmgDdRN+3TE7mZmYmNYxx05yaRwdtERc9UREQEREBQWb0Jp3Uc/b5PC0rljbbt5IW9rt8HOOu361Oor0V1W53qJxPgcFMPBvRpJJwUO5/wDck+0vnuNaM+Qof3kn2ldEXo73tPzKvOU5nmpfuNaM+Qof3kn2k9xrRnyFD+8k+0roid72n5lXnJmeal+41oz5Ch/eSfaT3GtGfIUP7yT7SuiJ3vafmVecmZ5qrR4WaRx8zJotPUXSsO7XzRCUtPwjm32P0q0gAAADYDzL6iwru13ZzXVM9ZyZmRERZoEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREH/9k=",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -399,7 +382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "8edb04b9-40b6-46f1-a7a8-4b2d8aba7752",
    "metadata": {},
    "outputs": [
@@ -412,17 +395,17 @@
       "what is the weather in sf\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "Tool Calls:\n",
-      "  search (call_FrAufBRRXlRPSQNzxeiWmOaG)\n",
-      " Call ID: call_FrAufBRRXlRPSQNzxeiWmOaG\n",
+      "  search (call_eJMUn9rNv4abSfYe9kVmzk8E)\n",
+      " Call ID: call_eJMUn9rNv4abSfYe9kVmzk8E\n",
       "  Args:\n",
       "    query: weather in San Francisco\n",
       "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
       "Name: search\n",
       "\n",
-      "['The answer to your question lies within.']\n",
+      "The answer to your question lies within.\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "I found information about the weather in San Francisco. Would you like me to retrieve the details for you?\n"
+      "I have initiated a search for the weather in San Francisco. I will provide you with the information as soon as I receive the results.\n"
      ]
     }
    ],
@@ -451,7 +434,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/examples/stream-multiple.ipynb b/examples/stream-multiple.ipynb
index a7d4a95c4..df4e2f19e 100644
--- a/examples/stream-multiple.ipynb
+++ b/examples/stream-multiple.ipynb
@@ -34,7 +34,7 @@
    "outputs": [],
    "source": [
     "%%capture --no-stderr\n",
-    "%pip install -U langgraph langchain-openai"
+    "%pip install -U langgraph langchain-openai langchain-community"
    ]
   },
   {
@@ -188,9 +188,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -202,7 +202,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/examples/stream-updates.ipynb b/examples/stream-updates.ipynb
index b36325779..6d082852b 100644
--- a/examples/stream-updates.ipynb
+++ b/examples/stream-updates.ipynb
@@ -39,7 +39,7 @@
    "outputs": [],
    "source": [
     "%%capture --no-stderr\n",
-    "%pip install -U langgraph langchain-openai"
+    "%pip install -U langgraph langchain-openai langchain-community"
    ]
   },
   {
@@ -164,9 +164,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -178,7 +178,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/examples/stream-values.ipynb b/examples/stream-values.ipynb
index f1a2bef8f..2195af8c4 100644
--- a/examples/stream-values.ipynb
+++ b/examples/stream-values.ipynb
@@ -39,7 +39,7 @@
    "outputs": [],
    "source": [
     "%%capture --no-stderr\n",
-    "%pip install -U langgraph langchain-openai"
+    "%pip install -U langgraph langchain-openai langchain-community"
    ]
   },
   {
@@ -226,9 +226,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -240,7 +240,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/examples/streaming-content.ipynb b/examples/streaming-content.ipynb
index 10f02651f..cb7422eda 100644
--- a/examples/streaming-content.ipynb
+++ b/examples/streaming-content.ipynb
@@ -168,9 +168,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/streaming-events-from-within-tools-without-langchain.ipynb b/examples/streaming-events-from-within-tools-without-langchain.ipynb
index b185678ea..5d1d0592e 100644
--- a/examples/streaming-events-from-within-tools-without-langchain.ipynb
+++ b/examples/streaming-events-from-within-tools-without-langchain.ipynb
@@ -337,9 +337,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/streaming-events-from-within-tools.ipynb b/examples/streaming-events-from-within-tools.ipynb
index b9e0d931b..1db7d2a37 100644
--- a/examples/streaming-events-from-within-tools.ipynb
+++ b/examples/streaming-events-from-within-tools.ipynb
@@ -280,9 +280,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -294,7 +294,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/examples/streaming-from-final-node.ipynb b/examples/streaming-from-final-node.ipynb
index d4d81fd8e..5e9cb857f 100644
--- a/examples/streaming-from-final-node.ipynb
+++ b/examples/streaming-from-final-node.ipynb
@@ -28,7 +28,7 @@
    "outputs": [],
    "source": [
     "%%capture --no-stderr\n",
-    "%pip install -U langgraph langchain-openai"
+    "%pip install -U langgraph langchain-openai langchain-community"
    ]
   },
   {
@@ -317,9 +317,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/streaming-tokens-without-langchain.ipynb b/examples/streaming-tokens-without-langchain.ipynb
index 28d99cc1f..98c5ba460 100644
--- a/examples/streaming-tokens-without-langchain.ipynb
+++ b/examples/streaming-tokens-without-langchain.ipynb
@@ -347,9 +347,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/streaming-tokens.ipynb b/examples/streaming-tokens.ipynb
index fe848efd8..e6ef1ac0e 100644
--- a/examples/streaming-tokens.ipynb
+++ b/examples/streaming-tokens.ipynb
@@ -451,7 +451,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/examples/subgraph-transform-state.ipynb b/examples/subgraph-transform-state.ipynb
index a9e177f44..8443d7456 100644
--- a/examples/subgraph-transform-state.ipynb
+++ b/examples/subgraph-transform-state.ipynb
@@ -271,9 +271,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/subgraph.ipynb b/examples/subgraph.ipynb
index 9234900e0..893d1a261 100644
--- a/examples/subgraph.ipynb
+++ b/examples/subgraph.ipynb
@@ -651,9 +651,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/tool-calling-errors.ipynb b/examples/tool-calling-errors.ipynb
index 3737cfade..f0b75cc18 100644
--- a/examples/tool-calling-errors.ipynb
+++ b/examples/tool-calling-errors.ipynb
@@ -579,9 +579,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/tool-calling.ipynb b/examples/tool-calling.ipynb
index 73a0726d4..84d6fa329 100644
--- a/examples/tool-calling.ipynb
+++ b/examples/tool-calling.ipynb
@@ -492,9 +492,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langgraph",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "langgraph"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/visualization.ipynb b/examples/visualization.ipynb
index 71f1ddf84..4917355b0 100644
--- a/examples/visualization.ipynb
+++ b/examples/visualization.ipynb
@@ -25,19 +25,6 @@
     "%pip install -U langgraph"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "c45e18aa",
-   "metadata": {},
-   "source": [
-    "<div class=\"admonition tip\">\n",
-    "    <p class=\"admonition-title\">Set up <a href=\"https://smith.langchain.com\">LangSmith</a> for LangGraph development</p>\n",
-    "    <p style=\"padding-top: 5px;\">\n",
-    "        Sign up for LangSmith to quickly spot issues and improve the performance of your LangGraph projects. LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started <a href=\"https://docs.smith.langchain.com\">here</a>. \n",
-    "    </p>\n",
-    "</div>    "
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "e130cf70-a30e-47d7-8fd5-464f1a92e374",
@@ -137,6 +124,16 @@
     "We can easily visualize this graph in ascii"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0b22e88-7f78-4215-afdd-4eedef9e2b9b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install --quiet grandalf"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -152,33 +149,33 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "                                                                           +-----------+                                                               \n",
-      "                                                                           | __start__ |                                                               \n",
-      "                                                                           +-----------+                                                               \n",
-      "                                                                                  *                                                                    \n",
-      "                                                                                  *                                                                    \n",
-      "                                                                                  *                                                                    \n",
-      "                                                                          +------------+                                                               \n",
-      "                                                                    ******| entry_node |..*****                                                        \n",
-      "                                                        ************ *****+------------+  ......***********                                            \n",
-      "                                           *************        *****             .             .....      ************                                \n",
-      "                               ************               ******                  .                  .....             ************                    \n",
-      "                        *******                      *****                        .                       ......                   ************        \n",
-      "    +-------------------+                         ***                            ..                             ...                            ******* \n",
-      "    | node_entry_node_B |*********                  **                        ...                                 .                                  * \n",
-      "    +-------------------+         ******************* **                   ...                                    .                                  * \n",
-      "              *                                      *******************...                                       .                                  * \n",
-      "              *                                           **         ...*******************                       .                                  * \n",
-      "              *                                             **     ..                      **********             .                                  * \n",
-      "+--------------------------+                         +-------------------+                          +--------------------------+                ****** \n",
-      "| node_node_entry_node_B_A |***                      | node_entry_node_A |                          | node_node_entry_node_B_B |      **********       \n",
-      "+--------------------------+   **********            +-------------------+                          +--------------------------+******                 \n",
-      "                                         **********                     ...                    .....             **********                            \n",
-      "                                                   **********              ...           ......       ***********                                      \n",
-      "                                                             **********       ..      ...   **********                                                 \n",
-      "                                                                       *****+---------+*****                                                           \n",
-      "                                                                            | __end__ |                                                                \n",
-      "                                                                            +---------+                                                                \n"
+      "                                                                                                +-----------+                                                                                                 \n",
+      "                                                                                                | __start__ |                                                                                                 \n",
+      "                                                                                                +-----------+                                                                                                 \n",
+      "                                                                                                       *                                                                                                      \n",
+      "                                                                                                       *                                                                                                      \n",
+      "                                                                                                       *                                                                                                      \n",
+      "                                                                                         .......+------------+********                                                                                        \n",
+      "                                                                         ................ *****.| entry_node |....... ****************                                                                        \n",
+      "                                                         ................     ***********...... +------------+   ****............     ****************                                                        \n",
+      "                                          ...............         ************      .....              .               ******    .............        ***************                                         \n",
+      "                          ................            ************            ......                    .                    ******           ............           ****************                         \n",
+      "          ................                     *******                  ......                          .                          ******                 ............               ****************         \n",
+      "  ........                +-------------------+                     ....                                .                                ****                         ........                       ******** \n",
+      "    .                     | node_entry_node_B |******             ..                                    .                                   *                                 ..                         **   \n",
+      "     ...                  +-------------------+      ************.                                      .                                   *                                   ...                   ***     \n",
+      "        .               ****                ***             ...  ***********                            .                                   *                                      ...             ***        \n",
+      "         ...        ****                       **         ..                ************                .                                   *                                         ..         **           \n",
+      "            .     **                             **     ..                              ******          .                                   *                                           ..     **             \n",
+      "+--------------------------+           +--------------------------+                       +--------------------------+                   ****                                     +-------------------+       \n",
+      "| node_node_entry_node_B_B |........   | node_node_entry_node_B_C |                       | node_node_entry_node_B_A |             ******                                   ......| node_entry_node_A |       \n",
+      "+--------------------------+        ...+--------------------------+........               +--------------------------+       ******                          ...............      +-------------------+       \n",
+      "                                                 ...............           ..........                   .             *******                   .............                                                 \n",
+      "                                                                .............        .........         .        ******           ...............                                                              \n",
+      "                                                                             ...............  .....    .    ****    .............                                                                             \n",
+      "                                                                                            .....+---------+........                                                                                          \n",
+      "                                                                                                 | __end__ |                                                                                                  \n",
+      "                                                                                                 +---------+                                                                                                  \n"
      ]
     }
    ],
@@ -218,27 +215,32 @@
      "text": [
       "%%{init: {'flowchart': {'curve': 'linear'}}}%%\n",
       "graph TD;\n",
-      "\t__start__[__start__]:::startclass;\n",
-      "\t__end__[__end__]:::endclass;\n",
-      "\tentry_node([entry_node]):::otherclass;\n",
-      "\tnode_entry_node_A([node_entry_node_A]):::otherclass;\n",
-      "\tnode_entry_node_B([node_entry_node_B]):::otherclass;\n",
-      "\tnode_node_entry_node_B_A([node_node_entry_node_B_A]):::otherclass;\n",
-      "\tnode_node_entry_node_B_B([node_node_entry_node_B_B]):::otherclass;\n",
+      "\t__start__([<p>__start__</p>]):::first\n",
+      "\tentry_node(entry_node)\n",
+      "\tnode_entry_node_A(node_entry_node_A)\n",
+      "\tnode_entry_node_B(node_entry_node_B)\n",
+      "\tnode_node_entry_node_B_A(node_node_entry_node_B_A)\n",
+      "\tnode_node_entry_node_B_B(node_node_entry_node_B_B)\n",
+      "\tnode_node_entry_node_B_C(node_node_entry_node_B_C)\n",
+      "\t__end__([<p>__end__</p>]):::last\n",
       "\t__start__ --> entry_node;\n",
       "\tentry_node --> __end__;\n",
       "\tentry_node --> node_entry_node_A;\n",
       "\tentry_node --> node_entry_node_B;\n",
       "\tnode_entry_node_B --> node_node_entry_node_B_A;\n",
       "\tnode_entry_node_B --> node_node_entry_node_B_B;\n",
-      "\tnode_node_entry_node_B_A --> __end__;\n",
+      "\tnode_entry_node_B --> node_node_entry_node_B_C;\n",
       "\tnode_entry_node_A -.-> entry_node;\n",
       "\tnode_entry_node_A -.-> __end__;\n",
+      "\tnode_node_entry_node_B_A -.-> entry_node;\n",
+      "\tnode_node_entry_node_B_A -.-> __end__;\n",
       "\tnode_node_entry_node_B_B -.-> entry_node;\n",
       "\tnode_node_entry_node_B_B -.-> __end__;\n",
-      "\tclassDef startclass fill:#ffdfba;\n",
-      "\tclassDef endclass fill:#baffc9;\n",
-      "\tclassDef otherclass fill:#fad7de;\n",
+      "\tnode_node_entry_node_B_C -.-> entry_node;\n",
+      "\tnode_node_entry_node_B_C -.-> __end__;\n",
+      "\tclassDef default fill:#f2f0ff,line-height:1.2\n",
+      "\tclassDef first fill-opacity:0\n",
+      "\tclassDef last fill:#bfb6fc\n",
       "\n"
      ]
     }
@@ -274,7 +276,7 @@
    "outputs": [
     {
      "data": {
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -311,7 +313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "d403e1e7",
    "metadata": {
     "ExecuteTime": {
@@ -328,7 +330,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "058546ee",
    "metadata": {
     "ExecuteTime": {
@@ -339,7 +341,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -383,7 +385,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "d4234400-75cd-4b13-aeff-828f7fb68ab1",
    "metadata": {
     "ExecuteTime": {
@@ -399,7 +401,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "id": "ee026342-f560-4ce0-ab43-1718bd19a366",
    "metadata": {
     "ExecuteTime": {
@@ -410,7 +412,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -420,7 +422,10 @@
     }
    ],
    "source": [
-    "display(Image(app.get_graph().draw_png()))"
+    "try:\n",
+    "    display(Image(app.get_graph().draw_png()))\n",
+    "except ImportError:\n",
+    "    print(\"You likely need to install dependencies for pygraphviz, see more here https://github.com/pygraphviz/pygraphviz/blob/main/INSTALL.txt\")"
    ]
   }
  ],
@@ -440,7 +445,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,