x

docs/docs/how-tos/human_in_the_loop/breakpoints.ipynb

@@ -12,6 +12,14 @@
    "source": [
     "# How to add breakpoints\n",
     "\n",
+    "!!! tip \"Prerequisits\"\n",
+    "\n",
+    "    This guide assumes familiarity with the following concepts:\n",
+    "\n",
+    "    * [Breakpoints](../../../concepts/breakpoints)\n",
+    "    * [LangGraph Glossary](../../../concepts/low_level)\n",
+    "    \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",
@@ -467,7 +475,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.4"
   }
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  "nbformat": 4,

docs/docs/how-tos/human_in_the_loop/dynamic_breakpoints.ipynb

@@ -1,18 +1,21 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
-   "id": "ee54cde3-7e4d-43f4-b921-e7141ea0f19e",
-   "metadata": {},
-   "source": [
-    "# How to add dynamic breakpoints"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "607849c6-4b8c-4e06-ad9c-758bb5a08e86",
+   "id": "b7d5f6a5-9e59-43e4-a4b6-8ada6dace691",
    "metadata": {},
    "source": [
+    "# How to add dynamic breakpoints\n",
+    "\n",
+    "!!! tip \"Prerequisits\"\n",
+    "\n",
+    "    This guide assumes familiarity with the following concepts:\n",
+    "\n",
+    "    * [Breakpoints](../../../concepts/breakpoints)\n",
+    "    * [LangGraph Glossary](../../../concepts/low_level)\n",
+    "    \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",
     "In LangGraph you can add breakpoints before / after a node is executed. But oftentimes it may be helpful to **dynamically** interrupt the graph from inside a given node based on some condition. When doing so, it may also be helpful to include information about **why** that interrupt was raised.\n",
@@ -430,7 +433,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.4"
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docs/docs/how-tos/human_in_the_loop/edit-graph-state.ipynb

@@ -12,6 +12,12 @@
    "source": [
     "# How to edit graph state\n",
     "\n",
+    "!!! tip \"Prerequisits\"\n",
+    "\n",
+    "    * [Human-in-the-loop](../../../concepts/human_in_the_loop)\n",
+    "    * [Breakpoints](../../../concepts/breakpoints)\n",
+    "    * [LangGraph Glossary](../../../concepts/low_level)\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). Manually updating the graph state a common HIL interaction pattern, allowing the human to edit actions (e.g., what tool is being called or how it is being called).\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 interrupt graph execution before a specific step. At this breakpoint, we can manually update the graph state and then resume from that spot to continue.  \n",
@@ -554,7 +560,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.4"
   }
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  "nbformat": 4,

docs/docs/how-tos/human_in_the_loop/interrupt.ipynb

@@ -11,7 +11,15 @@
     "tags": []
    },
    "source": [
-    "# How to use interrupt for human-in-the-loop workflows\n",
+    "# How to use add breakpoints using interrupt?\n",
+    "\n",
+    "!!! tip \"Prerequisits\"\n",
+    "\n",
+    "    This guide assumes familiarity with the following concepts:\n",
+    "\n",
+    "    * [Breakpoints](../../../concepts/breakpoints)\n",
+    "    * [LangGraph Glossary](../../../concepts/low_level)\n",
+    "    \n",
     "\n",
     "An `interrupt` is a convenient way to support human-in-the-loop workflows.\n",
     "\n",

docs/docs/how-tos/human_in_the_loop/review-tool-calls.ipynb

@@ -8,6 +8,15 @@
    "source": [
     "# How to Review Tool Calls\n",
     "\n",
+    "!!! tip \"Prerequisits\"\n",
+    "\n",
+    "    This guide assumes familiarity with the following concepts:\n",
+    "\n",
+    "    * [Tool calling])(https://python.langchain.com/docs/concepts/tool_calling/)\n",
+    "    * [Human-in-the-loop](../../../concepts/human_in_the_loop)\n",
+    "    * [Breakpoints](../../../concepts/breakpoints\n",
+    "    * [LangGraph Glossary](../../../concepts/low_level)      \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). A common pattern is to add some human in the loop step after certain tool calls. These tool calls often lead to either a function call or saving of some information. Examples include:\n",
     "\n",
     "- A tool call to execute SQL, which will then be run by the tool\n",
@@ -674,7 +683,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.4"
   }
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docs/docs/how-tos/human_in_the_loop/time-travel.ipynb

@@ -7,6 +7,14 @@
    "source": [
     "# How to view and update past graph state\n",
     "\n",
+    "!!! tip \"Prerequisits\"\n",
+    "\n",
+    "    This guide assumes familiarity with the following concepts:\n",
+    "    \n",
+    "    * [Breakpoints](../../../concepts/breakpoints)\n",
+    "    * [LangGraph Glossary](../../../concepts/low_level)\n",
+    "\n",
+    "\n",
     "Once you start [checkpointing](../../persistence) your graphs, you can easily **get** or **update** the state of the agent at any point in time. This permits a few things:\n",
     "\n",
     "1. You can surface a state during an interrupt to a user to let them accept an action.\n",
@@ -589,7 +597,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,