docs: add more streaming how-tos (#803)

examples/cloud_examples/langgraph_to_langgraph_cloud.ipynb

@@ -29,7 +29,7 @@
    "id": "323db423-b644-40bd-9c2d-976a53f602f7",
    "metadata": {},
    "source": [
-    "We'll be using a simple ReAct agent for this tutorial. You will also need to set up a project with `agent.py` and `langgraph.json` files. See [quick start](https://langchain-ai.github.io/langgraph/cloud/quick_start/#develop) for setting this up."
+    "We'll be using a simple ReAct agent for this how-to guide. You will also need to set up a project with `agent.py` and `langgraph.json` files. See [quick start](https://langchain-ai.github.io/langgraph/cloud/quick_start/#develop) for setting this up."
    ]
   },
   {

examples/cloud_examples/stream_debug.ipynb

@@ -4,8 +4,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# How to Stream Debug Events\n",
-    "This notebook covers how to stream debug events from your graph (`stream_mode=\"debug\"`)."
+    "# How to stream debug events\n",
+    "This guide covers how to stream debug events from your graph (`stream_mode=\"debug\"`)."
    ]
   },
   {

examples/cloud_examples/stream_events.ipynb

@@ -4,8 +4,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# How to Stream Events\n",
-    "This notebook covers how to stream events from your graph (`stream_mode=\"events\"`). Depending on the use case and user experience of your LangGraph application, your application may process event types differently."
+    "# How to stream events\n",
+    "This guide covers how to stream events from your graph (`stream_mode=\"events\"`). Depending on the use case and user experience of your LangGraph application, your application may process event types differently."
    ]
   },
   {

examples/cloud_examples/stream_messages.ipynb

@@ -7,14 +7,14 @@
    "source": [
     "# How to stream messages from your graph\n",
     "\n",
-    "There are multiple different streaming modes.\n",
+    "LangGraph Cloud supports multiple streaming modes. The main ones are:\n",
     "\n",
     "- `values`: This streaming mode streams back values of the graph. This is the **full state of the graph** after each node is called.\n",
     "- `updates`: This streaming mode streams back updates to the graph. This is the **update to the state of the graph** after each node is called.\n",
     "- `messages`: This streaming mode streams back messages - both complete messages (at the end of a node) as well as **tokens** for any messages generated inside a node. This mode is primarily meant for powering chat applications.\n",
     "\n",
     "\n",
-    "This notebook covers `stream_mode=\"messages\"`.\n",
+    "This guide covers `stream_mode=\"messages\"`.\n",
     "\n",
     "In order to use this mode, the state of the graph you are interacting with MUST have a messages key that is a list of messages.\n",
     "Eg, the state should look something like:\n",

examples/cloud_examples/stream_multiple.ipynb

@@ -4,9 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# How to Configure Multiple Streaming Modes at the Same Time\n",
+    "# How to configure multiple streaming modes at the same time\n",
     "\n",
-    "This notebook covers how to configure multiple streaming modes at the same time."
+    "This guide covers how to configure multiple streaming modes at the same time."
    ]
   },
   {

examples/cloud_examples/stream_updates.ipynb

@@ -5,16 +5,16 @@
    "id": "51466c8d-8ce4-4b3d-be4e-18fdbeda5f53",
    "metadata": {},
    "source": [
-    "# How to stream updates from your graph\n",
+    "# How to stream state updates of your graph\n",
     "\n",
-    "There are multiple different streaming modes.\n",
+    "LangGraph Cloud supports multiple streaming modes. The main ones are:\n",
     "\n",
     "- `values`: This streaming mode streams back values of the graph. This is the **full state of the graph** after each node is called.\n",
     "- `updates`: This streaming mode streams back updates to the graph. This is the **update to the state of the graph** after each node is called.\n",
     "- `messages`: This streaming mode streams back messages - both complete messages (at the end of a node) as well as **tokens** for any messages generated inside a node. This mode is primarily meant for powering chat applications.\n",
     "\n",
     "\n",
-    "This notebook covers `stream_mode=\"updates\"`."
+    "This guide covers `stream_mode=\"updates\"`."
    ]
   },
   {
@@ -170,7 +170,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,

examples/cloud_examples/stream_values.ipynb

@@ -5,16 +5,16 @@
    "id": "51466c8d-8ce4-4b3d-be4e-18fdbeda5f53",
    "metadata": {},
    "source": [
-    "# How to stream values from your graph\n",
+    "# How to stream full state of your graph\n",
     "\n",
-    "There are multiple different streaming modes.\n",
+    "LangGraph Cloud supports multiple streaming modes. The main ones are:\n",
     "\n",
     "- `values`: This streaming mode streams back values of the graph. This is the **full state of the graph** after each node is called.\n",
     "- `updates`: This streaming mode streams back updates to the graph. This is the **update to the state of the graph** after each node is called.\n",
     "- `messages`: This streaming mode streams back messages - both complete messages (at the end of a node) as well as **tokens** for any messages generated inside a node. This mode is primarily meant for powering chat applications.\n",
     "\n",
     "\n",
-    "This notebook covers `stream_mode=\"values\"`."
+    "This guide covers `stream_mode=\"values\"`."
    ]
   },
   {
@@ -204,7 +204,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,