langgraph/examples/subgraph.ipynb

{
 "cells": [
  {
   "attachments": {
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     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How to create subgraphs\n",
    "\n",
    "For more complex systems, subgraphs are a useful design principle. Subgraphs allow you to create and manage different states in different parts of your graph. This allows you build things like [multi-agent teams](https://langchain-ai.github.io/langgraph/tutorials/multi_agent/hierarchical_agent_teams/), where each team can track its own separate state.\n",
    "\n",
    "![Screenshot 2024-07-11 at 1.01.28 PM.png](attachment:71516aef-9c00-4730-a676-a54e90cb6472.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture --no-stderr\n",
    "%pip install -U langgraph"
   ]
  },
  {
   "attachments": {
    "9145adc1-ce9d-4a22-8183-e13796d4a388.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple example\n",
    "\n",
    "Let's consider a toy example: a system that accepts logs and perform two separate sub-tasks. First, it will summarize them. Second, it will summarize any failure modes captured in the logs. These two operations will be performed by two different subgraphs.\n",
    "\n",
    "The most important thing to recognize is the information transfer between the graphs. `Entry Graph` is the parent, and each of the two subgraphs are defined as nodes in `Entry Graph`. Both subgraphs inherit state from the parent `Entry Graph`; I can access `docs` in each of the subgraphs simply by specifying it in the subgraph state (see diagram). Each subgraph can have its own private state. And any values that I want propagated back to the parent `Entry Graph` (for final reporting) simply need to be defined in my `Entry Graph` state (e.g., `summary report` and `failure report`).\n",
    "\n",
    "![Screenshot 2024-07-12 at 10.35.41 AM.png](attachment:9145adc1-ce9d-4a22-8183-e13796d4a388.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define subgraphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import TypedDict, Optional, Annotated\n",
    "from langgraph.checkpoint.memory import MemorySaver\n",
    "from langgraph.graph import StateGraph, START, END\n",
    "\n",
    "\n",
    "# The structure of the logs\n",
    "class Logs(TypedDict):\n",
    "    id: str\n",
    "    question: str\n",
    "    answer: str\n",
    "    grade: Optional[int]\n",
    "    feedback: Optional[str]\n",
    "\n",
    "\n",
    "# Define custom reducer (see more on this in the \"Custom reducer\" section below)\n",
    "def add_logs(left: list[Logs], right: list[Logs]) -> list[Logs]:\n",
    "    if not left:\n",
    "        left = []\n",
    "    \n",
    "    if not right:\n",
    "        right = []\n",
    "\n",
    "    logs = left.copy()\n",
    "    left_id_to_idx = {log[\"id\"]: idx for idx, log in enumerate(logs)}\n",
    "    # update if the new logs are already in the state, otherwise append\n",
    "    for log in right:\n",
    "        idx = left_id_to_idx.get(log[\"id\"])\n",
    "        if idx is not None:\n",
    "            logs[idx] = log\n",
    "        else:\n",
    "            logs.append(log)\n",
    "    return logs\n",
    "\n",
    "\n",
    "# Failure Analysis Subgraph\n",
    "class FailureAnalysisState(TypedDict):\n",
    "    # keys shared with the parent graph (EntryGraphState)\n",
    "    logs: Annotated[list[Logs], add_logs]\n",
    "    failure_report: str\n",
    "    # subgraph key\n",
    "    failures: list[Logs]\n",
    "\n",
    "\n",
    "def get_failures(state: FailureAnalysisState):\n",
    "    failures = [log for log in state[\"logs\"] if log[\"grade\"] == 0]\n",
    "    return {\"failures\": failures}\n",
    "\n",
    "\n",
    "def generate_summary(state: FailureAnalysisState):\n",
    "    failures = state[\"failures\"]\n",
    "    # NOTE: you can implement custom summarization logic here\n",
    "    failure_ids = [log[\"id\"] for log in failures]\n",
    "    fa_summary = f\"Poor quality of retrieval for document IDs: {', '.join(failure_ids)}\"\n",
    "    return {\"failure_report\": fa_summary}\n",
    "\n",
    "\n",
    "fa_builder = StateGraph(FailureAnalysisState)\n",
    "fa_builder.add_node(\"get_failures\", get_failures)\n",
    "fa_builder.add_node(\"generate_summary\", generate_summary)\n",
    "fa_builder.add_edge(START, \"get_failures\")\n",
    "fa_builder.add_edge(\"get_failures\", \"generate_summary\")\n",
    "fa_builder.add_edge(\"generate_summary\", END)\n",
    "\n",
    "\n",
    "# Summarization subgraph\n",
    "class QuestionSummarizationState(TypedDict):\n",
    "    # keys that are shared with the parent graph (EntryGraphState)\n",
    "    summary_report: str\n",
    "    logs: Annotated[list[Logs], add_logs]\n",
    "    # subgraph keys\n",
    "    summary: str\n",
    "\n",
    "\n",
    "def generate_summary(state: QuestionSummarizationState):\n",
    "    docs = state[\"logs\"]\n",
    "    # NOTE: you can implement custom summarization logic here\n",
    "    summary = \"Questions focused on usage of ChatOllama and Chroma vector store.\"\n",
    "    return {\"summary\": summary}\n",
    "\n",
    "\n",
    "def send_to_slack(state: QuestionSummarizationState):\n",
    "    summary = state[\"summary\"]\n",
    "    # NOTE: you can implement custom logic here, for example sending the summary generated in the previous step to Slack\n",
    "    return {\"summary_report\": summary}\n",
    "\n",
    "\n",
    "qs_builder = StateGraph(QuestionSummarizationState)\n",
    "qs_builder.add_node(\"generate_summary\", generate_summary)\n",
    "qs_builder.add_node(\"send_to_slack\", send_to_slack)\n",
    "qs_builder.add_edge(START, \"generate_summary\")\n",
    "qs_builder.add_edge(\"generate_summary\", \"send_to_slack\")\n",
    "qs_builder.add_edge(\"send_to_slack\", END)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that each subgraph has its own state, `QuestionSummarizationState` and `FailureAnalysisState`.\n",
    " \n",
    "After defining each subgraph, we put everything together."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define parent graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Dummy logs\n",
    "dummy_logs = [\n",
    "    Logs(\n",
    "        id=\"1\",\n",
    "        question=\"How can I import ChatOllama?\",\n",
    "        grade=1,\n",
    "        answer=\"To import ChatOllama, use: 'from langchain_community.chat_models import ChatOllama.'\",\n",
    "    ),\n",
    "    Logs(\n",
    "        id=\"2\",\n",
    "        question=\"How can I use Chroma vector store?\",\n",
    "        answer=\"To use Chroma, define: rag_chain = create_retrieval_chain(retriever, question_answer_chain).\",\n",
    "        grade=0,\n",
    "        feedback=\"The retrieved documents discuss vector stores in general, but not Chroma specifically\",\n",
    "    ),\n",
    "    Logs(\n",
    "        id=\"3\",\n",
    "        question=\"How do I create react agent in langgraph?\",\n",
    "        answer=\"from langgraph.prebuilt import create_react_agent\",\n",
    "    )\n",
    "]\n",
    "\n",
    "\n",
    "# Entry Graph\n",
    "class EntryGraphState(TypedDict):\n",
    "    raw_logs: Annotated[list[Logs], add_logs]\n",
    "    logs: Annotated[list[Logs], add_logs]  # This will be used in subgraphs\n",
    "    failure_report: str  # This will be generated in the FA subgraph\n",
    "    summary_report: str  # This will be generated in the QS subgraph\n",
    "\n",
    "\n",
    "def select_logs(state):\n",
    "    return {\"logs\": [log for log in state[\"raw_logs\"] if \"grade\" in log]}\n",
    "\n",
    "\n",
    "entry_builder = StateGraph(EntryGraphState)\n",
    "entry_builder.add_node(\"select_logs\", select_logs)\n",
    "entry_builder.add_node(\"question_summarization\", qs_builder.compile())\n",
    "entry_builder.add_node(\"failure_analysis\", fa_builder.compile())\n",
    "\n",
    "entry_builder.add_edge(START, \"select_logs\")\n",
    "entry_builder.add_edge(\"select_logs\", \"failure_analysis\")\n",
    "entry_builder.add_edge(\"select_logs\", \"question_summarization\")\n",
    "entry_builder.add_edge(\"failure_analysis\", END)\n",
    "entry_builder.add_edge(\"question_summarization\", END)\n",
    "\n",
    "graph = entry_builder.compile()\n",
    "\n",
    "from IPython.display import Image, display\n",
    "\n",
    "# Setting xray to 1 will show the internal structure of the nested graph\n",
    "display(Image(graph.get_graph(xray=1).draw_mermaid_png()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'raw_logs': [{'id': '1',\n",
       "   'question': 'How can I import ChatOllama?',\n",
       "   'grade': 1,\n",
       "   'answer': \"To import ChatOllama, use: 'from langchain_community.chat_models import ChatOllama.'\"},\n",
       "  {'id': '2',\n",
       "   'question': 'How can I use Chroma vector store?',\n",
       "   'answer': 'To use Chroma, define: rag_chain = create_retrieval_chain(retriever, question_answer_chain).',\n",
       "   'grade': 0,\n",
       "   'feedback': 'The retrieved documents discuss vector stores in general, but not Chroma specifically'},\n",
       "  {'id': '3',\n",
       "   'question': 'How do I create react agent in langgraph?',\n",
       "   'answer': 'from langgraph.prebuilt import create_react_agent'}],\n",
       " 'logs': [{'id': '1',\n",
       "   'question': 'How can I import ChatOllama?',\n",
       "   'grade': 1,\n",
       "   'answer': \"To import ChatOllama, use: 'from langchain_community.chat_models import ChatOllama.'\"},\n",
       "  {'id': '2',\n",
       "   'question': 'How can I use Chroma vector store?',\n",
       "   'answer': 'To use Chroma, define: rag_chain = create_retrieval_chain(retriever, question_answer_chain).',\n",
       "   'grade': 0,\n",
       "   'feedback': 'The retrieved documents discuss vector stores in general, but not Chroma specifically'}],\n",
       " 'failure_report': 'Poor quality of retrieval for document IDs: 2',\n",
       " 'summary_report': 'Questions focused on usage of ChatOllama and Chroma vector store.'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graph.invoke({\"raw_logs\": dummy_logs}, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Custom reducer functions to manage state\n",
    "\n",
    "You might have noticed that we defined a custom [reducer]([reducer](https://langchain-ai.github.io/langgraph/concepts/low_level/#reducers) function (`add_logs`) or the `logs` key in `EntryGraphState`. It is necessary to provide a reducer when using shared state keys across multiple subgraphs.\n",
    "\n",
    "Let's take a look at implementing a custom reducer. We will create two graphs: a parent graph with a few nodes and a child graph that is added as a node in the parent. We'll also define a custom reducer function (`reduce_list`) for our state. This is functionally equivalent to simply using `operator.add`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Annotated\n",
    "\n",
    "from typing_extensions import TypedDict\n",
    "\n",
    "# define a simple reducer\n",
    "def reduce_list(left: list, right: list) -> list:\n",
    "    if not left:\n",
    "        left = []\n",
    "    if not right:\n",
    "        right = []\n",
    "    return left + right\n",
    "\n",
    "# define parent and child state\n",
    "class ChildState(TypedDict):\n",
    "    name: str\n",
    "    path: Annotated[list[str], reduce_list]\n",
    "\n",
    "\n",
    "class ParentState(TypedDict):\n",
    "    name: str\n",
    "    path: Annotated[list[str], reduce_list]\n",
    "\n",
    "\n",
    "# define a helper to build the graph\n",
    "def make_graph(parent_schema, child_schema):\n",
    "    child_builder = StateGraph(child_schema)\n",
    "    \n",
    "    child_builder.add_node(\"child_start\", lambda state: {\"path\": [\"child_start\"]})\n",
    "    child_builder.add_edge(START, \"child_start\")\n",
    "    child_builder.add_node(\"child_middle\", lambda state: {\"path\": [\"child_middle\"]})\n",
    "    child_builder.add_node(\"child_end\", lambda state: {\"path\": [\"child_end\"]})\n",
    "    child_builder.add_edge(\"child_start\", \"child_middle\")\n",
    "    child_builder.add_edge(\"child_middle\", \"child_end\")\n",
    "    child_builder.add_edge(\"child_end\", END)\n",
    "    \n",
    "    builder = StateGraph(parent_schema)\n",
    "    \n",
    "    builder.add_node(\"grandparent\", lambda state: {\"path\": [\"grandparent\"]})\n",
    "    builder.add_edge(START, \"grandparent\")\n",
    "    builder.add_node(\"parent\", lambda state: {\"path\": [\"parent\"]})\n",
    "    builder.add_node(\"child\", child_builder.compile())\n",
    "    builder.add_node(\"sibling\", lambda state: {\"path\": [\"sibling\"]})\n",
    "    builder.add_node(\"fin\", lambda state: {\"path\": [\"fin\"]})\n",
    "    \n",
    "    # Add connections\n",
    "    builder.add_edge(\"grandparent\", \"parent\")\n",
    "    builder.add_edge(\"parent\", \"child\")\n",
    "    builder.add_edge(\"parent\", \"sibling\")\n",
    "    builder.add_edge(\"child\", \"fin\")\n",
    "    builder.add_edge(\"sibling\", \"fin\")\n",
    "    builder.add_edge(\"fin\", END)\n",
    "    graph = builder.compile()\n",
    "    return graph\n",
    "\n",
    "\n",
    "graph = make_graph(ParentState, ChildState)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "\n",
    "# Setting xray to 1 will show the internal structure of the nested graph\n",
    "display(Image(graph.get_graph(xray=1).draw_mermaid_png()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[36;1m\u001b[1;3m[-2:checkpoint]\u001b[0m \u001b[1mState at the end of step -2:\n",
      "\u001b[0m{'path': []}\n",
      "\u001b[36;1m\u001b[1;3m[0:tasks]\u001b[0m \u001b[1mStarting step 0 with 1 task:\n",
      "\u001b[0m- \u001b[32;1m\u001b[1;3m__start__\u001b[0m -> {'name': 'test'}\n",
      "\u001b[36;1m\u001b[1;3m[0:writes]\u001b[0m \u001b[1mFinished step 0 with writes to 1 channel:\n",
      "\u001b[0m- \u001b[33;1m\u001b[1;3mname\u001b[0m -> 'test'\n",
      "\u001b[36;1m\u001b[1;3m[-2:checkpoint]\u001b[0m \u001b[1mState at the end of step -2:\n",
      "\u001b[0m{'name': 'test', 'path': []}\n",
      "\u001b[36;1m\u001b[1;3m[1:tasks]\u001b[0m \u001b[1mStarting step 1 with 1 task:\n",
      "\u001b[0m- \u001b[32;1m\u001b[1;3mgrandparent\u001b[0m -> {'name': 'test', 'path': []}\n",
      "\u001b[36;1m\u001b[1;3m[1:writes]\u001b[0m \u001b[1mFinished step 1 with writes to 1 channel:\n",
      "\u001b[0m- \u001b[33;1m\u001b[1;3mpath\u001b[0m -> ['grandparent']\n",
      "\u001b[36;1m\u001b[1;3m[-2:checkpoint]\u001b[0m \u001b[1mState at the end of step -2:\n",
      "\u001b[0m{'name': 'test', 'path': ['grandparent']}\n",
      "\u001b[36;1m\u001b[1;3m[2:tasks]\u001b[0m \u001b[1mStarting step 2 with 1 task:\n",
      "\u001b[0m- \u001b[32;1m\u001b[1;3mparent\u001b[0m -> {'name': 'test', 'path': ['grandparent']}\n",
      "\u001b[36;1m\u001b[1;3m[2:writes]\u001b[0m \u001b[1mFinished step 2 with writes to 1 channel:\n",
      "\u001b[0m- \u001b[33;1m\u001b[1;3mpath\u001b[0m -> ['parent']\n",
      "\u001b[36;1m\u001b[1;3m[-2:checkpoint]\u001b[0m \u001b[1mState at the end of step -2:\n",
      "\u001b[0m{'name': 'test', 'path': ['grandparent', 'parent']}\n",
      "\u001b[36;1m\u001b[1;3m[3:tasks]\u001b[0m \u001b[1mStarting step 3 with 2 tasks:\n",
      "\u001b[0m- \u001b[32;1m\u001b[1;3mchild\u001b[0m -> {'name': 'test', 'path': ['grandparent', 'parent']}\n",
      "- \u001b[32;1m\u001b[1;3msibling\u001b[0m -> {'name': 'test', 'path': ['grandparent', 'parent']}\n",
      "\u001b[36;1m\u001b[1;3m[3:writes]\u001b[0m \u001b[1mFinished step 3 with writes to 2 channels:\n",
      "\u001b[0m- \u001b[33;1m\u001b[1;3mname\u001b[0m -> 'test'\n",
      "- \u001b[33;1m\u001b[1;3mpath\u001b[0m -> ['grandparent', 'parent', 'child_start', 'child_middle', 'child_end'], ['sibling']\n",
      "\u001b[36;1m\u001b[1;3m[-2:checkpoint]\u001b[0m \u001b[1mState at the end of step -2:\n",
      "\u001b[0m{'name': 'test',\n",
      " 'path': ['grandparent',\n",
      "          'parent',\n",
      "          'grandparent',\n",
      "          'parent',\n",
      "          'child_start',\n",
      "          'child_middle',\n",
      "          'child_end',\n",
      "          'sibling']}\n",
      "\u001b[36;1m\u001b[1;3m[4:tasks]\u001b[0m \u001b[1mStarting step 4 with 1 task:\n",
      "\u001b[0m- \u001b[32;1m\u001b[1;3mfin\u001b[0m -> {'name': 'test',\n",
      " 'path': ['grandparent',\n",
      "          'parent',\n",
      "          'grandparent',\n",
      "          'parent',\n",
      "          'child_start',\n",
      "          'child_middle',\n",
      "          'child_end',\n",
      "          'sibling']}\n",
      "\u001b[36;1m\u001b[1;3m[4:writes]\u001b[0m \u001b[1mFinished step 4 with writes to 1 channel:\n",
      "\u001b[0m- \u001b[33;1m\u001b[1;3mpath\u001b[0m -> ['fin']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'name': 'test',\n",
       " 'path': ['grandparent',\n",
       "  'parent',\n",
       "  'grandparent',\n",
       "  'parent',\n",
       "  'child_start',\n",
       "  'child_middle',\n",
       "  'child_end',\n",
       "  'sibling',\n",
       "  'fin']}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graph.invoke({\"name\": \"test\"}, debug=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice here that the `[\"grandparent\", \"parent\"]` sequence is duplicated! \n",
    "\n",
    "This is because our child state has received the full parent state and returns the full parent state once it terminates. \n",
    "\n",
    "To avoid duplication or conflicts in state, you typically would do one or more of the following:\n",
    "\n",
    "1. Handle duplicates in your `reducer` function.\n",
    "2. Call the child graph from within a python function. In that function, handle the state as needed.  \n",
    "3. Update the child graph keys to avoid conflicts. You would still need to ensure the output can be interpreted by the parent, however.\n",
    "\n",
    "Let's re-implement the graph using technique (1) and add unique IDs for every value in the list. This is what is done in [`MessageGraph`](https://langchain-ai.github.io/langgraph/reference/graphs/#langgraph.graph.MessageGraph)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import uuid\n",
    "\n",
    "def reduce_list(left: list | None, right: list | None) -> list:\n",
    "    \"\"\"Append the right-hand list, replacing any elements with the same id in the left-hand list.\"\"\"\n",
    "    if not left:\n",
    "        left = []\n",
    "    if not right:\n",
    "        right = []\n",
    "    left_, right_ = [], []\n",
    "    for orig, new in [(left, left_), (right, right_)]:\n",
    "        for val in orig:\n",
    "            if not isinstance(val, dict):\n",
    "                val = {\"val\": val}\n",
    "            if \"id\" not in val:\n",
    "                val[\"id\"] = str(uuid.uuid4())\n",
    "            new.append(val)\n",
    "    # Merge the two lists\n",
    "    left_idx_by_id = {val[\"id\"]: i for i, val in enumerate(left_)}\n",
    "    merged = left_.copy()\n",
    "    for val in right_:\n",
    "        if (existing_idx := left_idx_by_id.get(val[\"id\"])) is not None:\n",
    "            merged[existing_idx] = val\n",
    "        else:\n",
    "            merged.append(val)\n",
    "    return merged\n",
    "\n",
    "\n",
    "class ChildState(TypedDict):\n",
    "    name: str\n",
    "    # note the updated reducer here\n",
    "    path: Annotated[list[str], reduce_list]\n",
    "\n",
    "\n",
    "class ParentState(TypedDict):\n",
    "    name: str\n",
    "    # note the updated reducer here\n",
    "    path: Annotated[list[str], reduce_list]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since our graph topology hasn't changed, we can just reuse the same `make_graph` helper function we defined previously and pass new schema for the parent and child graphs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[36;1m\u001b[1;3m[-2:checkpoint]\u001b[0m \u001b[1mState at the end of step -2:\n",
      "\u001b[0m{'path': []}\n",
      "\u001b[36;1m\u001b[1;3m[0:tasks]\u001b[0m \u001b[1mStarting step 0 with 1 task:\n",
      "\u001b[0m- \u001b[32;1m\u001b[1;3m__start__\u001b[0m -> {'name': 'test'}\n",
      "\u001b[36;1m\u001b[1;3m[0:writes]\u001b[0m \u001b[1mFinished step 0 with writes to 1 channel:\n",
      "\u001b[0m- \u001b[33;1m\u001b[1;3mname\u001b[0m -> 'test'\n",
      "\u001b[36;1m\u001b[1;3m[-2:checkpoint]\u001b[0m \u001b[1mState at the end of step -2:\n",
      "\u001b[0m{'name': 'test', 'path': []}\n",
      "\u001b[36;1m\u001b[1;3m[1:tasks]\u001b[0m \u001b[1mStarting step 1 with 1 task:\n",
      "\u001b[0m- \u001b[32;1m\u001b[1;3mgrandparent\u001b[0m -> {'name': 'test', 'path': []}\n",
      "\u001b[36;1m\u001b[1;3m[1:writes]\u001b[0m \u001b[1mFinished step 1 with writes to 1 channel:\n",
      "\u001b[0m- \u001b[33;1m\u001b[1;3mpath\u001b[0m -> ['grandparent']\n",
      "\u001b[36;1m\u001b[1;3m[-2:checkpoint]\u001b[0m \u001b[1mState at the end of step -2:\n",
      "\u001b[0m{'name': 'test',\n",
      " 'path': [{'id': 'a3b7abbe-1083-40af-aa6f-23b39d6b5ab7', 'val': 'grandparent'}]}\n",
      "\u001b[36;1m\u001b[1;3m[2:tasks]\u001b[0m \u001b[1mStarting step 2 with 1 task:\n",
      "\u001b[0m- \u001b[32;1m\u001b[1;3mparent\u001b[0m -> {'name': 'test',\n",
      " 'path': [{'id': 'a3b7abbe-1083-40af-aa6f-23b39d6b5ab7', 'val': 'grandparent'}]}\n",
      "\u001b[36;1m\u001b[1;3m[2:writes]\u001b[0m \u001b[1mFinished step 2 with writes to 1 channel:\n",
      "\u001b[0m- \u001b[33;1m\u001b[1;3mpath\u001b[0m -> ['parent']\n",
      "\u001b[36;1m\u001b[1;3m[-2:checkpoint]\u001b[0m \u001b[1mState at the end of step -2:\n",
      "\u001b[0m{'name': 'test',\n",
      " 'path': [{'id': 'a3b7abbe-1083-40af-aa6f-23b39d6b5ab7', 'val': 'grandparent'},\n",
      "          {'id': 'ce8522d8-5c45-4d0c-8e9f-42b11e9e5c6e', 'val': 'parent'}]}\n",
      "\u001b[36;1m\u001b[1;3m[3:tasks]\u001b[0m \u001b[1mStarting step 3 with 2 tasks:\n",
      "\u001b[0m- \u001b[32;1m\u001b[1;3mchild\u001b[0m -> {'name': 'test',\n",
      " 'path': [{'id': 'a3b7abbe-1083-40af-aa6f-23b39d6b5ab7', 'val': 'grandparent'},\n",
      "          {'id': 'ce8522d8-5c45-4d0c-8e9f-42b11e9e5c6e', 'val': 'parent'}]}\n",
      "- \u001b[32;1m\u001b[1;3msibling\u001b[0m -> {'name': 'test',\n",
      " 'path': [{'id': 'a3b7abbe-1083-40af-aa6f-23b39d6b5ab7', 'val': 'grandparent'},\n",
      "          {'id': 'ce8522d8-5c45-4d0c-8e9f-42b11e9e5c6e', 'val': 'parent'}]}\n",
      "\u001b[36;1m\u001b[1;3m[3:writes]\u001b[0m \u001b[1mFinished step 3 with writes to 2 channels:\n",
      "\u001b[0m- \u001b[33;1m\u001b[1;3mname\u001b[0m -> 'test'\n",
      "- \u001b[33;1m\u001b[1;3mpath\u001b[0m -> [{'id': 'a3b7abbe-1083-40af-aa6f-23b39d6b5ab7', 'val': 'grandparent'},\n",
      " {'id': 'ce8522d8-5c45-4d0c-8e9f-42b11e9e5c6e', 'val': 'parent'},\n",
      " {'id': '2c3d0366-9744-4ece-b3d5-95fa9727e5bf', 'val': 'child_start'},\n",
      " {'id': 'b5920f7a-d722-43f2-86fa-cb9cb0dfdcc3', 'val': 'child_middle'},\n",
      " {'id': '052b5578-6939-4dc0-8e24-0a13548a937e', 'val': 'child_end'}], ['sibling']\n",
      "\u001b[36;1m\u001b[1;3m[-2:checkpoint]\u001b[0m \u001b[1mState at the end of step -2:\n",
      "\u001b[0m{'name': 'test',\n",
      " 'path': [{'id': 'a3b7abbe-1083-40af-aa6f-23b39d6b5ab7', 'val': 'grandparent'},\n",
      "          {'id': 'ce8522d8-5c45-4d0c-8e9f-42b11e9e5c6e', 'val': 'parent'},\n",
      "          {'id': '2c3d0366-9744-4ece-b3d5-95fa9727e5bf', 'val': 'child_start'},\n",
      "          {'id': 'b5920f7a-d722-43f2-86fa-cb9cb0dfdcc3', 'val': 'child_middle'},\n",
      "          {'id': '052b5578-6939-4dc0-8e24-0a13548a937e', 'val': 'child_end'},\n",
      "          {'id': 'ff5e852c-3c71-4133-87a1-ec2e0b3a5b29', 'val': 'sibling'}]}\n",
      "\u001b[36;1m\u001b[1;3m[4:tasks]\u001b[0m \u001b[1mStarting step 4 with 1 task:\n",
      "\u001b[0m- \u001b[32;1m\u001b[1;3mfin\u001b[0m -> {'name': 'test',\n",
      " 'path': [{'id': 'a3b7abbe-1083-40af-aa6f-23b39d6b5ab7', 'val': 'grandparent'},\n",
      "          {'id': 'ce8522d8-5c45-4d0c-8e9f-42b11e9e5c6e', 'val': 'parent'},\n",
      "          {'id': '2c3d0366-9744-4ece-b3d5-95fa9727e5bf', 'val': 'child_start'},\n",
      "          {'id': 'b5920f7a-d722-43f2-86fa-cb9cb0dfdcc3', 'val': 'child_middle'},\n",
      "          {'id': '052b5578-6939-4dc0-8e24-0a13548a937e', 'val': 'child_end'},\n",
      "          {'id': 'ff5e852c-3c71-4133-87a1-ec2e0b3a5b29', 'val': 'sibling'}]}\n",
      "\u001b[36;1m\u001b[1;3m[4:writes]\u001b[0m \u001b[1mFinished step 4 with writes to 1 channel:\n",
      "\u001b[0m- \u001b[33;1m\u001b[1;3mpath\u001b[0m -> ['fin']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'name': 'test',\n",
       " 'path': [{'val': 'grandparent', 'id': 'a3b7abbe-1083-40af-aa6f-23b39d6b5ab7'},\n",
       "  {'val': 'parent', 'id': 'ce8522d8-5c45-4d0c-8e9f-42b11e9e5c6e'},\n",
       "  {'val': 'child_start', 'id': '2c3d0366-9744-4ece-b3d5-95fa9727e5bf'},\n",
       "  {'val': 'child_middle', 'id': 'b5920f7a-d722-43f2-86fa-cb9cb0dfdcc3'},\n",
       "  {'val': 'child_end', 'id': '052b5578-6939-4dc0-8e24-0a13548a937e'},\n",
       "  {'val': 'sibling', 'id': 'ff5e852c-3c71-4133-87a1-ec2e0b3a5b29'},\n",
       "  {'val': 'fin', 'id': '82dc42d5-799b-4fad-8fbd-b12f32c179d2'}]}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graph = make_graph(ParentState, ChildState)\n",
    "graph.invoke({\"name\": \"test\"}, debug=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can see that that now the path values are no longer duplicated thanks to the updated reducer we introduced above."
   ]
  }
 ],
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