langchain-ai · vbarda · Sep 23, 2024 · Sep 19, 2024 · Sep 20, 2024 · Sep 20, 2024
diff --git a/docs/docs/how-tos/disable-streaming.ipynb b/docs/docs/how-tos/disable-streaming.ipynb
@@ -0,0 +1,180 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# How to disable streaming for models that don't support it\n",
+    "\n",
+    "Certain LLM models do not support streaming - perhaps most noticeably the new (depending on when you're reading this) o1 models from OpenAI. This can break LangGraph when using `astream_events` since under the hood, LangGraph is calling all the models in streaming mode. Let's see how this would cause an error by defining the simplest graph we can:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_openai import ChatOpenAI\n",
+    "from langgraph.graph import MessagesState\n",
+    "from langgraph.graph import StateGraph, START, END\n",
+    "\n",
+    "llm = ChatOpenAI(model=\"o1-preview\",temperature=1)\n",
+    "\n",
+    "graph_builder = StateGraph(MessagesState)\n",
+    "\n",
+    "def chatbot(state: MessagesState):\n",
+    "    return {\"messages\": [llm.invoke(state[\"messages\"])]}\n",
+    "\n",
+    "graph_builder.add_node(\"chatbot\", chatbot)\n",
+    "graph_builder.add_edge(START, \"chatbot\")\n",
+    "graph_builder.add_edge(\"chatbot\", END)\n",
+    "graph = graph_builder.compile()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "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",
+    "display(Image(graph.get_graph().draw_mermaid_png()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Without disabling\n",
+    "\n",
+    "Let's try to call `astream_events` on our graph without disabling streaming, and see what happens:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There are **three** \"r\"s in the word \"strawberry\"."
+     ]
+    }
+   ],
+   "source": [
+    "input = {\"messages\": {\"role\":\"user\", \"content\":\"how many r's are in strawberry?\"}}\n",
+    "async for event in graph.astream_events(input, version=\"v2\"):\n",
+    "    if event[\"event\"] == \"on_chat_model_end\":\n",
+    "        print(event[\"data\"][\"output\"].content, end=\"\", flush=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "An error occurred as we expected, luckily there is an easy fix!\n",
+    "\n",
+    "## With disabling\n",
+    "\n",
+    "Now without making any changse to our graph, let's set the `disable_streaming` parameter on our model to be `True` which will solve our issues:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "llm = ChatOpenAI(model=\"o1-preview\",temperature=1,disable_streaming=True)\n",
+    "\n",
+    "graph_builder = StateGraph(MessagesState)\n",
+    "\n",
+    "def chatbot(state: MessagesState):\n",
+    "    return {\"messages\": [llm.invoke(state[\"messages\"])]}\n",
+    "\n",
+    "graph_builder.add_node(\"chatbot\", chatbot)\n",
+    "graph_builder.add_edge(START, \"chatbot\")\n",
+    "graph_builder.add_edge(\"chatbot\", END)\n",
+    "graph = graph_builder.compile()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And now, rerunning with the same input, we should see no errors:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There are **three** letter \"r\"s in the word \"strawberry.\"\n",
+      "\n",
+      "Here's the breakdown:\n",
+      "\n",
+      "- **S**\n",
+      "- **T**\n",
+      "- **R** (1st \"r\")\n",
+      "- **A**\n",
+      "- **W**\n",
+      "- **B**\n",
+      "- **E**\n",
+      "- **R** (2nd \"r\")\n",
+      "- **R** (3rd \"r\")\n",
+      "- **Y**\n",
+      "\n",
+      "So, the letters \"r\" appear in the 3rd, 8th, and 9th positions of the word \"strawberry.\""
+     ]
+    }
+   ],
+   "source": [
+    "input = {\"messages\": {\"role\":\"user\", \"content\":\"how many r's are in strawberry?\"}}\n",
+    "async for event in graph.astream_events(input, version=\"v2\"):\n",
+    "    if event[\"event\"] == \"on_chat_model_end\":\n",
+    "        print(event[\"data\"][\"output\"].content, end=\"\", flush=True)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": 2
+}
diff --git a/docs/docs/how-tos/index.md b/docs/docs/how-tos/index.md
@@ -56,6 +56,7 @@ These guides show how to use different streaming modes.
 - [How to stream events from within a tool without LangChain models](streaming-events-from-within-tools-without-langchain.ipynb)
 - [How to stream events from the final node](streaming-from-final-node.ipynb)
 - [How to stream from subgraphs](streaming-subgraphs.ipynb)
+- [How to disable streaming for models that don't support it](disable-streaming.ipynb)
 
 ## Tool calling
 

diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
@@ -160,6 +160,7 @@ nav:
           - Stream events from within tools without LangChain models: how-tos/streaming-events-from-within-tools-without-langchain.ipynb
           - Stream events from the final node: how-tos/streaming-from-final-node.ipynb
           - Stream from subgraphs: how-tos/streaming-subgraphs.ipynb
+          - Disable streaming for models that don't support it: how-tos/disable-streaming.ipynb
       - Tool calling:
           - Call tools using ToolNode: how-tos/tool-calling.ipynb
           - Handle tool calling errors: how-tos/tool-calling-errors.ipynb