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, sub-graphs are a useful design principle. Sub-graphs allow you to create and manage different states in different parts of your graph. This allows you build things like [multi-agent teams](./multi_agent/hierarchical_agent_teams.ipynb), 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": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture --no-stderr\n",
    "%pip install -U langgraph"
   ]
  },
  {
   "attachments": {
    "4c038cbd-2e28-49d4-b0f1-534975886570.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple example\n",
    "\n",
    "Let's consider a toy example: I have 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. I want to perform these two operations in two different sub-graphs.\n",
    "\n",
    "![image.png](attachment:4c038cbd-2e28-49d4-b0f1-534975886570.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from operator import add\n",
    "from typing import List, TypedDict, Optional, Annotated, Dict\n",
    "from langgraph.checkpoint.memory import MemorySaver\n",
    "from langgraph.graph import StateGraph, START, END\n",
    "\n",
    "# The structure of the logs\n",
    "class Logs(TypedDict):\n",
    "    id: str\n",
    "    question: str\n",
    "    docs: Optional[List]\n",
    "    answer: str    \n",
    "    grade: Optional[int]\n",
    "    grader: Optional[str]\n",
    "    feedback: Optional[str]  \n",
    "\n",
    "# Failure Analysis Sub-graph\n",
    "class FailureAnalysisState(TypedDict):\n",
    "    docs: List[Logs]\n",
    "    failures: List[Logs]\n",
    "    fa_summary: str\n",
    "\n",
    "def get_failures(state):\n",
    "    docs = state['docs']\n",
    "    failures = [doc for doc in docs if \"grade\" in doc]\n",
    "    return {\"failures\": failures}\n",
    "\n",
    "def generate_summary(state):\n",
    "    failures = state['failures']\n",
    "    fa_summary = \"Poor quality retrieval of Chroma documentation.\" \n",
    "    return {\"fa_summary\": fa_summary}\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.set_entry_point(\"get_failures\")\n",
    "fa_builder.add_edge(\"get_failures\",\"generate_summary\")\n",
    "fa_builder.set_finish_point(\"generate_summary\")\n",
    "\n",
    "# Summarization subgraph\n",
    "class QuestionSummarizationState(TypedDict):\n",
    "    filtered_docs: Annotated[List[Logs], add]\n",
    "    qs_summary: str\n",
    "    report: str\n",
    "\n",
    "def generate_summary(state):\n",
    "    filtered_docs = state['filtered_docs']\n",
    "    summary = \"Questions focused on usage of ChatOllama and Chroma vector store.\" \n",
    "    return {\"qs_summary\": summary}\n",
    "\n",
    "def send_to_slack(state):\n",
    "    qs_summary = state['qs_summary']\n",
    "    report = qs_summary\n",
    "    return {\"report\": report}\n",
    "\n",
    "def format_report_for_slack(state):\n",
    "    report = state['report']\n",
    "    formatted_report = \"foo bar\"\n",
    "    return {\"report\": formatted_report}\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_node(\"format_report_for_slack\", format_report_for_slack)\n",
    "qs_builder.set_entry_point(\"generate_summary\")\n",
    "qs_builder.add_edge(\"generate_summary\", \"send_to_slack\")\n",
    "qs_builder.add_edge(\"send_to_slack\", \"format_report_for_slack\")\n",
    "qs_builder.add_edge(\"format_report_for_slack\", END)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that each sub-graph has its own state, `QuestionSummarizationState` and `FailureAnalysisState`.\n",
    " \n",
    "After defining each sub-graph, we put everything together."
   ]
  },
  {
   "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": [
    "# Dummpy logs\n",
    "question_answer = Logs(\n",
    "    id=\"1\",\n",
    "    question=\"How can I import ChatOllama?\",\n",
    "    answer=\"To import ChatOllama, use: 'from langchain_community.chat_models import ChatOllama.'\",\n",
    ")\n",
    "\n",
    "question_answer_feedback = 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",
    "    grader=\"Document Relevance Recall\",\n",
    "    feedback=\"The retrieved documents discuss vector stores in general, but not Chroma specifically\",\n",
    ")\n",
    "\n",
    "# Entry Graph\n",
    "class EntryGraphState(TypedDict):\n",
    "    raw_logs: Annotated[List[Dict], add]\n",
    "    docs: Annotated[List[Logs], add] # This will be used in sub-graph\n",
    "    fa_summary: str # This will be generated in the sub-graph\n",
    "    qs_summary: str # This will be generated in the sub-graph\n",
    "\n",
    "def convert_logs_to_docs(state):\n",
    "    # Get logs\n",
    "    raw_logs = state['raw_logs']\n",
    "    docs = [question_answer,question_answer_feedback]\n",
    "    return {\"docs\": docs} \n",
    "\n",
    "entry_builder = StateGraph(EntryGraphState)\n",
    "entry_builder.add_node(\"convert_logs_to_docs\", convert_logs_to_docs)\n",
    "entry_builder.add_node(\"question_summarization\", qs_builder.compile())\n",
    "entry_builder.add_node(\"failure_analysis\", fa_builder.compile())\n",
    "\n",
    "entry_builder.set_entry_point(\"convert_logs_to_docs\")\n",
    "entry_builder.add_edge(\"convert_logs_to_docs\", \"failure_analysis\")\n",
    "entry_builder.add_edge(\"convert_logs_to_docs\", \"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",
    "# 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": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'raw_logs': [{'foo': 'bar'}, {'foo': 'baz'}],\n",
       " 'docs': [{'id': '1',\n",
       "   'question': 'How can I import ChatOllama?',\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",
       "   'grader': 'Document Relevance Recall',\n",
       "   'feedback': 'The retrieved documents discuss vector stores in general, but not Chroma specifically'},\n",
       "  {'id': '1',\n",
       "   'question': 'How can I import ChatOllama?',\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",
       "   'grader': 'Document Relevance Recall',\n",
       "   'feedback': 'The retrieved documents discuss vector stores in general, but not Chroma specifically'}],\n",
       " 'fa_summary': 'Poor quality retrieval of Chroma documentation.',\n",
       " 'qs_summary': 'Questions focused on usage of ChatOllama and Chroma vector store.'}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_logs = [{\"foo\":\"bar\"},{\"foo\":\"baz\"}]\n",
    "graph.invoke({\"raw_logs\": raw_logs}, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Custom reducer functions to manage state\n",
    "\n",
    "Now, let's highlight a possible stumbling block when we use the same `State` across multiple sub-graphs.\n",
    " \n",
    "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.\n",
    "\n",
    "We define a custom [reducer](https://langchain-ai.github.io/langgraph/concepts/low_level/#reducers) function for our state."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Annotated\n",
    "\n",
    "from typing_extensions import TypedDict\n",
    "\n",
    "def reduce_list(left: list | None, right: list | None) -> list:\n",
    "    if not left:\n",
    "        left = []\n",
    "    if not right:\n",
    "        right = []\n",
    "    return left + right\n",
    "\n",
    "\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",
    "child_builder = StateGraph(ChildState)\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(ParentState)\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()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\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[0:checkpoint]\u001b[0m \u001b[1mState at the end of step 0:\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[1:checkpoint]\u001b[0m \u001b[1mState at the end of step 1:\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[3:checkpoint]\u001b[0m \u001b[1mState at the end of step 3:\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",
      "\u001b[36;1m\u001b[1;3m[4:checkpoint]\u001b[0m \u001b[1mState at the end of step 4:\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",
      "          '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": 17,
     "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": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import uuid\n",
    "\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",
    "    path: Annotated[list[str], reduce_list]\n",
    "\n",
    "\n",
    "class ParentState(TypedDict):\n",
    "    name: str\n",
    "    path: Annotated[list[str], reduce_list]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "child_builder = StateGraph(ChildState)\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(ParentState)\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()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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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": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\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[0:checkpoint]\u001b[0m \u001b[1mState at the end of step 0:\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[1:checkpoint]\u001b[0m \u001b[1mState at the end of step 1:\n",
      "\u001b[0m{'name': 'test',\n",
      " 'path': [{'id': '79a81f03-d16d-4d12-94a6-4ba29fc9ce49', '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': '79a81f03-d16d-4d12-94a6-4ba29fc9ce49', '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': '79a81f03-d16d-4d12-94a6-4ba29fc9ce49', 'val': 'grandparent'},\n",
      "          {'id': '2a6f0263-3949-4e47-a210-57f817e6097d', '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': '79a81f03-d16d-4d12-94a6-4ba29fc9ce49', 'val': 'grandparent'},\n",
      "          {'id': '2a6f0263-3949-4e47-a210-57f817e6097d', 'val': 'parent'}]}\n",
      "- \u001b[32;1m\u001b[1;3msibling\u001b[0m -> {'name': 'test',\n",
      " 'path': [{'id': '79a81f03-d16d-4d12-94a6-4ba29fc9ce49', 'val': 'grandparent'},\n",
      "          {'id': '2a6f0263-3949-4e47-a210-57f817e6097d', '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': '79a81f03-d16d-4d12-94a6-4ba29fc9ce49', 'val': 'grandparent'},\n",
      " {'id': '2a6f0263-3949-4e47-a210-57f817e6097d', 'val': 'parent'},\n",
      " {'id': 'd1c1bab0-6e19-4846-a470-e9cc2eb85088', 'val': 'child_start'},\n",
      " {'id': 'e0fcb647-1e9e-4ae4-b560-0046515d5783', 'val': 'child_middle'},\n",
      " {'id': '669dd810-360f-4694-a9f3-49597f23376a', 'val': 'child_end'}], ['sibling']\n",
      "\u001b[36;1m\u001b[1;3m[3:checkpoint]\u001b[0m \u001b[1mState at the end of step 3:\n",
      "\u001b[0m{'name': 'test',\n",
      " 'path': [{'id': '79a81f03-d16d-4d12-94a6-4ba29fc9ce49', 'val': 'grandparent'},\n",
      "          {'id': '2a6f0263-3949-4e47-a210-57f817e6097d', 'val': 'parent'},\n",
      "          {'id': 'd1c1bab0-6e19-4846-a470-e9cc2eb85088', 'val': 'child_start'},\n",
      "          {'id': 'e0fcb647-1e9e-4ae4-b560-0046515d5783', 'val': 'child_middle'},\n",
      "          {'id': '669dd810-360f-4694-a9f3-49597f23376a', 'val': 'child_end'},\n",
      "          {'id': '137dbc2f-b33c-4ea4-8b04-a62215ba9718', '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': '79a81f03-d16d-4d12-94a6-4ba29fc9ce49', 'val': 'grandparent'},\n",
      "          {'id': '2a6f0263-3949-4e47-a210-57f817e6097d', 'val': 'parent'},\n",
      "          {'id': 'd1c1bab0-6e19-4846-a470-e9cc2eb85088', 'val': 'child_start'},\n",
      "          {'id': 'e0fcb647-1e9e-4ae4-b560-0046515d5783', 'val': 'child_middle'},\n",
      "          {'id': '669dd810-360f-4694-a9f3-49597f23376a', 'val': 'child_end'},\n",
      "          {'id': '137dbc2f-b33c-4ea4-8b04-a62215ba9718', '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",
      "\u001b[36;1m\u001b[1;3m[4:checkpoint]\u001b[0m \u001b[1mState at the end of step 4:\n",
      "\u001b[0m{'name': 'test',\n",
      " 'path': [{'id': '79a81f03-d16d-4d12-94a6-4ba29fc9ce49', 'val': 'grandparent'},\n",
      "          {'id': '2a6f0263-3949-4e47-a210-57f817e6097d', 'val': 'parent'},\n",
      "          {'id': 'd1c1bab0-6e19-4846-a470-e9cc2eb85088', 'val': 'child_start'},\n",
      "          {'id': 'e0fcb647-1e9e-4ae4-b560-0046515d5783', 'val': 'child_middle'},\n",
      "          {'id': '669dd810-360f-4694-a9f3-49597f23376a', 'val': 'child_end'},\n",
      "          {'id': '137dbc2f-b33c-4ea4-8b04-a62215ba9718', 'val': 'sibling'},\n",
      "          {'id': 'a4328c5f-845a-43de-b3d7-53a39208e316', 'val': 'fin'}]}\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'name': 'test',\n",
       " 'path': [{'val': 'grandparent', 'id': '79a81f03-d16d-4d12-94a6-4ba29fc9ce49'},\n",
       "  {'val': 'parent', 'id': '2a6f0263-3949-4e47-a210-57f817e6097d'},\n",
       "  {'val': 'child_start', 'id': 'd1c1bab0-6e19-4846-a470-e9cc2eb85088'},\n",
       "  {'val': 'child_middle', 'id': 'e0fcb647-1e9e-4ae4-b560-0046515d5783'},\n",
       "  {'val': 'child_end', 'id': '669dd810-360f-4694-a9f3-49597f23376a'},\n",
       "  {'val': 'sibling', 'id': '137dbc2f-b33c-4ea4-8b04-a62215ba9718'},\n",
       "  {'val': 'fin', 'id': 'a4328c5f-845a-43de-b3d7-53a39208e316'}]}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graph.invoke({\"name\": \"test\"}, debug=True)"
   ]
  }
 ],
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