From 0498ca346bc630c2efca7bca003c5dfc4f364221 Mon Sep 17 00:00:00 2001
From: Isaac Francisco <78627776+isahers1@users.noreply.github.com>
Date: Wed, 18 Sep 2024 08:53:28 -0700
Subject: [PATCH] docs: remove warnings/update diagrams (#1746)

* remove warnings/udpate diagrams

* replace get_relevant_documents with invoke
---
 .../langgraph_to_langgraph_cloud.ipynb        |  43 +--
 docs/docs/how-tos/async.ipynb                 |  66 ++--
 docs/docs/how-tos/branching.ipynb             |  14 +-
 docs/docs/how-tos/create-react-agent.ipynb    |   6 +-
 .../human_in_the_loop/breakpoints.ipynb       |   8 +-
 .../dynamic_breakpoints.ipynb                 |   4 +-
 .../human_in_the_loop/edit-graph-state.ipynb  |   4 +-
 .../human_in_the_loop/review-tool-calls.ipynb |   2 +-
 .../human_in_the_loop/wait-user-input.ipynb   |   8 +-
 docs/docs/how-tos/many-tools.ipynb            |   8 +-
 docs/docs/how-tos/map-reduce.ipynb            |   8 +-
 .../docs/how-tos/memory/delete-messages.ipynb |  35 +-
 docs/docs/how-tos/pass-config-to-tools.ipynb  |  12 +-
 .../pass-run-time-values-to-tools.ipynb       |  28 +-
 docs/docs/how-tos/persistence.ipynb           |  24 +-
 docs/docs/how-tos/persistence_postgres.ipynb  |  23 +-
 .../how-tos/react-agent-from-scratch.ipynb    |   2 +-
 docs/docs/how-tos/recursion-limit.ipynb       |   2 +-
 docs/docs/how-tos/state-context-key.ipynb     |  12 +-
 docs/docs/how-tos/streaming-content.ipynb     |   8 -
 ...-from-within-tools-without-langchain.ipynb |  16 +-
 .../streaming-events-from-within-tools.ipynb  |  22 +-
 .../how-tos/streaming-from-final-node.ipynb   |   8 +-
 docs/docs/how-tos/streaming-subgraphs.ipynb   |   6 +-
 .../streaming-tokens-without-langchain.ipynb  |  44 +--
 docs/docs/how-tos/streaming-tokens.ipynb      |  30 +-
 docs/docs/how-tos/tool-calling-errors.ipynb   |  82 ++---
 docs/docs/how-tos/tool-calling.ipynb          |  14 +-
 docs/docs/tutorials/introduction.ipynb        | 113 +++----
 docs/docs/tutorials/lats/lats.ipynb           | 316 ++++++++++--------
 .../tutorials/llm-compiler/LLMCompiler.ipynb  |   1 +
 .../hierarchical_agent_teams.ipynb            |   6 +-
 .../rag/langgraph_adaptive_rag_local.ipynb    |  43 +--
 docs/docs/tutorials/rag/langgraph_crag.ipynb  |   2 +-
 .../tutorials/rag/langgraph_self_rag.ipynb    |   2 +-
 .../rag/langgraph_self_rag_local.ipynb        |   2 +-
 36 files changed, 463 insertions(+), 561 deletions(-)

diff --git a/docs/docs/cloud/how-tos/langgraph_to_langgraph_cloud.ipynb b/docs/docs/cloud/how-tos/langgraph_to_langgraph_cloud.ipynb
index ed97f4fb7..ec12d07ec 100644
--- a/docs/docs/cloud/how-tos/langgraph_to_langgraph_cloud.ipynb
+++ b/docs/docs/cloud/how-tos/langgraph_to_langgraph_cloud.ipynb
@@ -72,15 +72,13 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": 1,
       "id": "ef5a3ec6-0cd0-4541-ab1b-d63ede22720e",
       "metadata": {},
       "outputs": [],
       "source": [
         "# this is all that's needed for the agent.py\n",
         "from typing import Literal\n",
-        "from langchain_community.tools.tavily_search import TavilySearchResults\n",
-        "from langchain_core.runnables import ConfigurableField\n",
         "from langchain_core.tools import tool\n",
         "from langchain_openai import ChatOpenAI\n",
         "from langgraph.prebuilt import create_react_agent\n",
@@ -884,26 +882,18 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 28,
+      "execution_count": 2,
       "id": "94b815e4-1dd2-4999-9e73-6e29836d9160",
       "metadata": {},
       "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "/Users/vadymbarda/.virtualenvs/langgraph-example-dev/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
-            "  warn_beta(\n"
-          ]
-        },
         {
           "name": "stdout",
           "output_type": "stream",
           "text": [
             "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
-            "Invalid Tool Calls:\n",
-            "  get_weather (call_dsr61w9qcahi8CC7LV2S29O3)\n",
-            " Call ID: call_dsr61w9qcahi8CC7LV2S29O3\n",
+            "Tool Calls:\n",
+            "  get_weather (call_UPFCSk4cQTFAuET2WgAzq0el)\n",
+            " Call ID: call_UPFCSk4cQTFAuET2WgAzq0el\n",
             "  Args:\n",
             "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
             "Tool Calls:\n",
@@ -956,25 +946,16 @@
             " is\n",
             "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
             "\n",
-            " currently\n",
-            "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
-            "\n",
             " sunny\n",
             "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
             "\n",
-            ".\n",
-            "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
-            "\n",
-            " Enjoy\n",
-            "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
-            "\n",
-            " the\n",
-            "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
-            "\n",
-            " sunshine\n",
-            "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
-            "\n",
             "!\n",
+            "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
+            "\n",
+            " ☀\n",
+            "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n",
+            "\n",
+            "️\n",
             "============================\u001b[1m Aimessagechunk Message \u001b[0m============================\n"
           ]
         }
@@ -1055,7 +1036,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.11.1"
+      "version": "3.11.9"
     }
   },
   "nbformat": 4,
diff --git a/docs/docs/how-tos/async.ipynb b/docs/docs/how-tos/async.ipynb
index 5cf25384a..9ebb2b25e 100644
--- a/docs/docs/how-tos/async.ipynb
+++ b/docs/docs/how-tos/async.ipynb
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 1,
    "id": "6768a3ab",
    "metadata": {},
    "outputs": [],
@@ -137,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 2,
    "id": "d7ef57dd-5d6e-4ad3-9377-a92201c1310e",
    "metadata": {},
    "outputs": [],
@@ -166,7 +166,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 3,
    "id": "5cf3331e-ccb3-41c8-aeb9-a840a94d41e7",
    "metadata": {},
    "outputs": [],
@@ -194,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 4,
    "id": "892b54b9-75f0-4804-9ed0-88b5e5532989",
    "metadata": {},
    "outputs": [],
@@ -216,7 +216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 5,
    "id": "cd3cbae5-d92c-4559-a4aa-44721b80d107",
    "metadata": {},
    "outputs": [],
@@ -257,7 +257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 6,
    "id": "3b541bb9-900c-40d0-964d-7b5dfee30667",
    "metadata": {},
    "outputs": [],
@@ -297,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 7,
    "id": "813ae66c-3b58-4283-a02a-36da72a2ab90",
    "metadata": {},
    "outputs": [],
@@ -348,13 +348,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 8,
    "id": "4b369a6f",
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -499,44 +499,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 19,
    "id": "cfd140f0-a5a6-4697-8115-322242f197b5",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/wfh/code/lc/langgraph/.venv/lib/python3.11/site-packages/langchain_anthropic/chat_models.py:442: UserWarning: stream: Tool use is not yet supported in streaming mode.\n",
-      "  warnings.warn(\"stream: Tool use is not yet supported in streaming mode.\")\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[{'id': 'toolu_01AmFDdRGWLH6rEm7PUiJz15', 'input': {'query': 'weather in san francisco'}, 'name': 'search', 'type': 'tool_use'}]|"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/wfh/code/lc/langgraph/.venv/lib/python3.11/site-packages/langchain_anthropic/chat_models.py:442: UserWarning: stream: Tool use is not yet supported in streaming mode.\n",
-      "  warnings.warn(\"stream: Tool use is not yet supported in streaming mode.\")\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Based on the search results, it looks like the current weather in San Francisco is:\n",
+      "{'id': 'toolu_01WoEXZGiAjKsKx99HC9oSxp', 'input': {}, 'name': 'search', 'type': 'tool_use', 'index': 0}||{\"q|uery\"|: |\"weathe|r in sf\"}|\n",
       "\n",
-      "The weather in San Francisco today is mostly sunny with a high of 68°F (20°C) and a low of 54°F (12°C). There is a 10% chance of rain. Winds are light at around 5 mph (8 km/h) from the west.\n",
+      "According| to the search results|, the current| weather in San Francisco| is:\n",
       "\n",
-      "The San Francisco Bay Area generally has a mild, Mediterranean climate throughout the year. Summers are cool and foggy, while winters are mild with occasional rain showers. The city experiences little temperature variation between seasons compared to many other parts of the United States.\n",
+      "-| Mostly| sunny with a high| of 68°|F (20°|C) and a| low of 55|°F (13|°C).|\n",
+      "- Light| winds aroun|d 10| mph (16| km/h|).|\n",
+      "- Very| little| chance| of rain.|\n",
       "\n",
-      "Let me know if you need any other details about the weather in San Francisco!|"
+      "The weather in| San Francisco today| appears| to be quite| pleasant,| with mil|d temperatures and mostly| sunny skies.| It| shoul|d be a nice| day to| be| out| and about in| the city.|"
      ]
     }
    ],
@@ -552,7 +531,16 @@
     "            \"/streamed_output/-\"\n",
     "        ):\n",
     "            # because we chose to only include LLMs, these are LLM tokens\n",
-    "            print(op[\"value\"].content, end=\"|\")"
+    "            try:\n",
+    "                content = op[\"value\"].content[0]\n",
+    "                if 'partial_json' in content:\n",
+    "                    print(content['partial_json'], end=\"|\")\n",
+    "                elif 'text' in content:\n",
+    "                    print(content['text'], end='|')\n",
+    "                else:\n",
+    "                    print(content,end=\"|\")\n",
+    "            except:\n",
+    "                pass"
    ]
   }
  ],
@@ -572,7 +560,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/how-tos/branching.ipynb b/docs/docs/how-tos/branching.ipynb
index 4609052fa..80631d8a0 100644
--- a/docs/docs/how-tos/branching.ipynb
+++ b/docs/docs/how-tos/branching.ipynb
@@ -114,7 +114,7 @@
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "259a7704-5aa0-4e4c-aeef-cca04e8be0ff",
    "metadata": {},
    "outputs": [],
@@ -231,13 +231,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "83320227-8ab3-44c0-b6cf-064a7a425b9f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
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U+bZpnTWWzErDJHj6k1tzB3uEbC4j+xBENxxI17NE7d+m9LWmbtDvEuZMND+o/CZXDmEebtneZ0AVhKJ8KMLNgOHGn6tp5kvuqts3ZTv+6Wpf3Wd/Uk+NK97tt/OpYgIiICIiAiIgIiIK84gPdo7V2ntYxuLaUkkeDzDN/FME8gbWmPrisOaN+4MsTE9wVhrU6s05W1hpfLYO5/quRqy1ZCBuWh7S3mHrG+49YC1HCbUlrVnDnA5HIbDKmuK+Qa07htyImKw0f0SxyD5EEtREQEREBEXlatQ0q8k9iaOvBGOZ8srg1rR6ST0CZ6oHqqy9kVq/Baa4Qawq5fN4/FWshgsjHThuW44ZLLhXcC2NrnNLyC9o2b/KHduFJTxS0cD5U4f+kXY+v9q5k9n3pXTHG3g621hc7jb2p9PSm3RrQW2OknjdsJomtDuriA1wHeSzYd60cXxuhPdLrezsdP6H1tp3WGMaMBn8Xm/asUQnGNuR2Ox5geXm5HHl35Xbb9+x9Cki5i9hnp3RvAfgli8bc1Dh4dRZL/zHKk3I+ZszwOWI9fwG8rdvTzHzq9W8UNHvcANU4fc+m9GP+qcXxuhPdKb2diUIviKVk8bJI3tkjeA5r2ncOB7iCvtZ0EREBERAREQFXnCcNxuZ4hYNpIZQ1HLPE0jbxLUENtxHqMs83ygqw1XmnGup8dNcV+XlitYbEXmnbo5/aXYn9fOQ2GLf+kILDREQEREBQvVLhkNZ4nHWAJKkVSa72LurXStkjaxxHceUFxAIPU797QVNFCM7/GTQ+KZ/8aJbNF5SZ6p8lhtERF7oL8IDgQRuD3gr9RBgaFcKeZ1BiofEpVnwzQwj72LtGkua30DmaTsOgLipkoXo7yz1T+Tp/RkU0WfSuV+UeUOpzERFkciIiAiIgKu4wIfZCTnmG9nS8e7fP+5237f4xViKvLRa32QmM6Hmfpe3136bNt1/N/8AJBYaIiAiIgKEZ3+Mmh8Uz/40Sm6hGd/jJofFM/8AjRLZov557J8lhtFS3G7VOptPcVeFUGm602UluSZRsuJ8IGnBb5aoLTK7ZwIYd3DdriCOg3V0qr+LOhNVZ/WWiNTaUkw5uacdde6tmZJY45+3ibEGh0bXFuw5jvseoHQ7nb1qyRtuFXE88Rq2Zr3sPNp3UWDumhlMTPM2bsJORr2OZI3YPY9jmua7Yb9einSrvhFw9y2kp9T53Utync1Rqa+27e8GteKsDY4mQwwxl/jODWMHjEAkk9ArEVjLWNdo7yz1T+Tp/RkU0UL0d5Z6p/J0/oyKaLw0rlflT/1h1VmIiLI5EREBERAVd3iR7ITCDpsdL3z3ei3T8/yqxFXd8f8AqFwZ6be5bIDv/wD26aCxEREBERAUIzv8ZND4pn/xolN1CtVhuN1jisnYcIqclSakZ3HZrJXSRuY1x7hzbOAJI6gDvcAtmi8pbqnyWGyRAdxuO5F7oIi/HODGlziGtA3JPcEGv0d5Z6p/J0/oyKaKHaFYLmYz+Vh8elZfDDBMPvZezaQ5zfS3dxG46HlOymKz6Vyvyjyh1OYiIsjkREQEREBV3f2/yhMH1PN7l8hsNum3tumrEVd3z/6hMGOUb+5fIeN5/wDW6aCxEREBERAXnYrRW4JIJ4mTQyAtfHI0Oa4ecEHvC9ETIRd3C3RrjudKYUn4vi/VUO4ycONK47hDrm3T07iaNyDBXpYbUFOJkkL213lr2u2HKQQCDuNiO8K2VCOOJc3grxALXcjhp7IEO69D7Wk69Ov5uq0cYxunPfK3na9sdwu0bJj6rnaUwrnOiaSTQiJJ2H+6spnC7R0bw5ulMKHDuPg+L9Vb3F/wZU/Is+iFlJxjG6c98l52vmONsUbWMaGMaA1rWjYADuAC+kRZ0EREBERAREQFXl9o/wAoPBnmG40vkBy9dz++6fX/APvSrDVe3v8A3BYTxNx7l7/j9en77p9PR1/6ILCREQEREBERAUI45tL+CfEFoj7UnT2QAj2J5v3tJ06devqU3UH46sMnBHiEwMdIXadyIDGd7v3tJ0HrQS7F/wAGVPyLPohZSxcX/BlT8iz6IWUgIiICIiAiIgIiICry/wAv+UHg+h5vcvkNjv029t0/N+ZWGq8vhv8AlB4Pr43uXv7Dbze26aCw0REBERAREQFCOOTQ7gnxBBDSDp7IAh2+x/e0nft1/N1U3XMPs/8AiXrbhjwdks6ax2Lv4HKx2MPm33oZZJa8c8fJHJEWSNDe+QEuDhuWevcOlMX/AAZU/Is+iFlKjvYgcTNc8X+ElfVetaGJxrbshbjIMXXli5q7PF7R/aSv35nA7bbdG79dwrxQEREBERAREQEREBV9e/j+wvd5MX/Tv/rVP5P+v9qsFfzy1T7JbjfjPZg19FRaf0rNn4nSYWnKaVoQyU55YphYcBYJHixNdvvsBzbj0B/Q1ERAREQedmxHUryzyu5Yoml7negAbkqBQT57U1eHIjOWcHBYYJYadKCBxYwjdvO6WN5Ltu/YADu67bmW6q8mMx8Dm+gVHtNeTmK+CRfQC+ho8RTRNdomb21xfzdZRdjeB8779Mx82o/9utNrLhtJxB0vkdO6h1NlclhshF2NmrJBTaJG7g97a4IIIBBBBBAIU0Re/CfDH00+yXRbB6Nv6bw1HE4zVeVp46jAytXrx16XLHGxoa1o3r79AB3rO8D5336Zj5tR/wC3W7ROE+GPpp9i7Ry5LM6SiF+1l5s3j4yPbMVuGJkjWE7F7HRMaN2777EbEA9Qeqn6rniP5A6g+BS/RKsZZ9IiJoprtaZmY1asrbO1ZyuIiLA5EREBQaXKZbU9m1JRykmGxsE8taI1oY3zTOjc5j3uMrXNDedpDQG9zeYuPNytnKrzQ38BS/GF763Kt2jxG9qrteYtGvXnf2WMrvXwPnffpmPm1H/t1GLHBurb4g1NcTZ3JP1VVpuoQ5IwU+dkLiSWhvYcu/Ujm232JG+x2VhItPCfDH00+xdpPA+d9+mY+bUf+3STJZjSTG3reXmzePY5rbMduGJkjGF2xkY6JjR4u4JaR1APUFbtRziN5C5z4K/+5d0WxK4oqpi0zbKI8oWJvNljIiL4rlq9VeTGY+BzfQKj2mvJzFfBIvoBSHVXkxmPgc30Co9prycxXwSL6AX0cHkZ7fReZslHOHOu6HE7RGI1Ti4bNfH5OHtoY7jWtla3mI8YNc4A9PMSpGuD+G+G0rp7hBwZ1HpSzBX4l2sxSqOFK4XWLsL7Lm2YZow47xCLmJ3GzOUbbKTNpR0/F7IPDDVtPC3cBqXEVr2RdiaWayON7GjatAuAjY4u5xzFjg0uY0O26FWiuf8AUerMRxV49Y/BS5WjW03oG0y/bM9ljDczBa5sELASNxC17nu2/DcxvmK6AVibiOcR/IHUHwKX6JVjKueI/kDqD4FL9EqxlNI5KjtnypdcwiIvnuRERAVeaG/gKX4wvfW5VYarzQ38BS/GF763Kt+j8nV2x6rzJAiLmHhxh9B6x1ZrTOcQrVKxrbGass1oRlr5hlx8EcwFKOBpe3ljczkcC0fuhed+buXUzZHTyjnEbyFznwV/9ykajnEbyFznwV/9y0YHK0dseaxnCxkRF8ZGr1V5MZj4HN9AqPaa8nMV8Ei+gFItUNLtM5ZoG5NSYAD/AICo7pkg6bxRBBBqRbEHv8QL6ODyM9vovM2SjmF4baR03k25LEaWwuLyLYhALdLHwwyiMDYMD2tB5QABtvtsFI0VRCJOBvDebIvyEnD7Sz775TO607C1jKZCeYvLuTfm367777qboiWEc4j+QOoPgUv0SrGVc8RhzaDzzR3upyAbnvJb0VjLnSOSo7Z8qXXMIiL57kREQFXmhv4Cl+ML31uVWGq90ONsHKD3jIXgfUfbc3Rb9H5Ortj1Xmb9aDKcPtLZvOQZrI6axF/MQbCHIWqEUliPbqOWRzS4beorfou0FHOI3kLnPgr/AO5SNR3iIObQ+aaO91ZwHrJ7l74HK0dseaxnCxURF8ZH45oe0tcA5pGxB7ioW7R2bxX7hhcrSZjm9Iq+QqvlfC3+Q2Rsjd2juAI3A85U1Re2Hi1YV977reyE+AdYfjPB/MZv2y0muLGrtFaK1BqF1rC3G4nH2L5rtpzNMoijc/kB7U7b8u2+3nVoqGcaYzNwc13GG85dgb7eXp13rv6dQR+cL241ibI7oLseth9X2a0UwyOEaJGB+3tGbpuN/wD8y9fAOsPxng/mM37ZSfATizgsbM07tkrRvB9RaCs9ONYmyO6C6H1tH5TITReHsjUsU43tk9p0azohK5p3b2jnPcS3cA8oA3I6ktJaZgiLwxMWrE/MXuIiLyQREQFFMhpLIV7lixg8hXqR2XmWWrdrumj7Q78z2Fr2lvMepHUE7kAEkmVovXDxKsOb0reyE+AdYfjPB/MZv2yj897V0OvqWmPbOFL7OMnyXtn2pNs0RSwx8nL2vee2333/AAVayr204P8AZA4xoG5i0vbJPTpzW623r/AP5l78axNkd0F2Z4B1h+M8H8xm/bL2q6Pyl+eI57I1LNSJ7ZRTo1nRNle07t7RznuJaCAeUAbkdSQS1TBFJ0rEnK0fKC4iIsiCIiAsDPYtucwWRxr3crLlaSuXegPaW7/2rPRBDOC+Wdm+EejLsh/d5MRVEwJ3LZRE1sjT6w8OHyKZqveGnPpnUOqtGz8wZUtuy+Nc7ufTtyPkLQfTHP7YZyj71gh7g4BWEgIiICIiAiIgIiICr3Dnwlx31PO1xdFjcFj6ff0Ess1qWQbekMbAf/l5tus+s2IqdeWeeRsMETS+SR52a1oG5JPmACgvByvYvYC/qm7HJDb1TddlxBMCHw1ixkdWMg9WkQRRFzemz3P8+6CfIiICIiAiIgIiIIlrzTNvIux+dwrW+6XCl76jXydmy1E/l7apI7Y7MlDGddjyvjifseTY7jTGpaerMLBkqQljZJuySCwzkmgkaeV8UjfwXtcC0j0jzraqGajwd3T+Xl1RpyqLFqXkGXxTTy+EYmjlEkfXlbZY3YNcekjWiJ5AET4QmaLAwWdoalxFbJ4yw21SsN5o5GgtPQ7FrmkAtcCCC1wBaQQQCCFnoCIiAiIgIihupM/dzeYfpfTc4hvM5HZXKBvM3GQuG/KzccrrL2/eNPRgcJXgjkjmDX6oaOJubl0nExz9OUntdnrIPiWXDZzaDenjB3R03mDNo9j2ruSwlr8BgaGmMRWxeMrirSrtIZHzFxJJJc5znEue5ziXOc4lznEkkkkrYICIiAiIgIiICIiAiIg4T9nf7IjOcDcncwGgosrhruoKpdlcq+pJHVieeUNkpyEAe2Czdr3s3A3b17RpLOg+AfHuHiNwV0dqG722Sz9+ltcr0Ymuk7WNxikkc0bNYC5pPXYdeg6dLdy2HoZ6hLRydGtkaUw2krW4myxvHoLXAg/Kq14eaOwehsjq7FafxVXD46DKNEdaozkY3mqwSu2H/HK8/KtOBh01zM1ZRF/GI9VhJvuiSe9bO/o6/wC2T7oknvWzv6Ov+2Wai1b3C6HjJeNjC+6JJ71s7+jr/tl9N4jQxgvuYPMUK7er55oGPYwecns3uOw9Oyy0Te4XQ8ZLxscFeyl9mfrDhz7Kc0tF5F1zDY7Gx4+xjWu7avaklHaOlazqO1bzsDX7fgbEOaXNd3VwosYu9w/w97EUsnRqXYfbJjzdeSG8ZHHd7rDXjmMhduS7qHd7SWlpMb4N8M9J4Wvd1DR05ja2dt5G8Jsi2u02HhlqWNo5zuQOVjRsCB0VpLDi0cHiVUbJmCdUiIi8kEREBERAREQEREBERAUBw3lTrX41i+oVFPlAcN5U61+NYvqFRbtF/wAnZ+6HUZS3aIqb1bxB1pqLXupNJ6GrYOKHTlKGXLXs8JniSWdjnxwQticOXxAHOkdvtzAcpXpM2crkRVT7FP8A9uHDr4mg+irWSJvFxi8L/JN3xlkfr06lqiXC/wAk3fGWR+vTqWrNpPL4nbPms5yIiLMgiIgIiICIiAiIgIiICgOG8qda/GsX1Cop8oDhvKnWvxrF9QqLdov+Ts/dDqMpbtVVqbg3mZ9f5TVOk9Yu0vNm6sVXMVJcay7Ha7IObFKzme3s5GtcW7+M0gDdvRWqi9Ji7lFOFOhfuY8ONO6U9veEvBFOOp7b7Lsu15RtzcnM7l39G5/pUrREyGLwv8k3fGWR+vTqWqJcL/JN3xlkfr06lqzaTy+J2z5rOciIizIIiICIiAiIgIiICIiAoHkWu0pqHMXLMU78dlJY7IswQvlEUjYo4XMeGgloIjY4O7vvgSNhvPEXthYnBzOq8TqWFd+7/B/7VL81m/UXlPxJ05V7PtsgYu0eI2c9eVvO49zRu3qencrJVecYQDLoTf30U9v+WVauMYXQnvj/AMrqfnu/wf8AtUvzWb9RfTNb4yyeSmLl6wejIK9OUuefMOrQB/S4gDzkKwkU4xh81E9/8JqaPReFnwGnK9S0WG06SaxMIzu1sksr5XNB2G4BeQDsN9t9gt4iLHXVNdU1znKZiIi4BERAREQEREBERAREQEREBV7xf/0uhegP+c9PvI/ky+lWEq84wECXQu5PlRT22O34MqCw0REBERAREQEREBERAREQEREBERAREQFXnGHbtdCb7eVFPv8A+GVWGq84wgGXQm/vop+fb8GVBYaIiAiIgIiICIiAiIgIiICIiAi+Jpo60MkssjYoo2l73vOzWgdSST3BUlq3i3ks9O+HAzuxmKG4FoR/vix/vN5v9G30dOY9Du3uW7RdDxdMq3uHlGc80KvBFypPA604us27tp5732Lksjj8pcV5eDIP539M/wC1fdjcHbi+H8peHWC/nn/4iGmuJuA4naWzekdU6nZidQzw1K+NoZOwyGrkWAMZ2cbHBrC9pBBHUuDz6VbngyD+d/TP+1eU+Co2uz7aEzdk8SR9pI53I8dzhuehG/er9g/7fD+S8OiOE+ksjoXhxp/BZfMXdQZanVa25kshZfYmnmO7pCZHkuI5nEN3PRoA8ylq5P8ABkH87+mf9qeDIP539M/7U+wf9vh/JeHWCLlAY6Fp3BmB9Inf9q22H1FnNOSiTGZi0wD/AO3uSuswO9RY924H/AWn1rivcKuI+5iXnri3rJqdMooloHiBW1pWkiewVMrXANirvuNj0D2H8Jp/OD0Pm3lq/N4uFXg1zh4kWmAREXkCIiAiIgIiIKw46Zt8GMxuEjcW+EZXSzlp2Jhi5SW/K90YPpG486qhWDx2rPZn9OWj/onQWq+/ofvE4D5Q13/Kq+X9B3Jppp0Oiaee8z3zHoVcwiIvruES1HxX0ppPKPx+Uyza9qJrXzBsEsra7XfemV7GlsQPf45HTr3L4znF3SWnL1ineyvLZrwssyxwVppyyF4JbKezY7xNh1d3DpuRuFVN3S3gPV2tK+oMLrPKQZi++7Tm07atCtZhkjY0wyNikaxjm8paTJsC3brsFL9O6SkwmtNdVq2OsxYnwBjaNJ0jHubII47DSxrz9+WgsB6k9Rv3r5sY2NVVa0Rrtz6s8+5Uw1DxM0zperjbGQyjGsyTeem2vG+w+w3YO5mMja5xbsQebbYbjqsXhJrafiHomDOTiuDNatRMNZrmsdHHYkjY7ZxJ3LWtJ9ZPd3Kq9CVsvw9vaKzeU07mL9SXSFXEOFOk+axQsRv53MkiA5mtcC0b7dCwAqw+A1K5Q4cwR36FrG2H378xrXIjHKxr7crm7tPpa4H0EHp0VwcavExI32qLTq7v5FhIiL6KPahnH6Wy1HNMcWilKHzbHYOgPSUH0+KSR62tPmXUC5MzkL7OIt142h81iMwRtP4T3+K0fKSAusYmdnGxm5dygDc95X5Ld6mmJw6+eb+Frecu+Z9IiL8oCIiAiIgIiII5r3STdZ6dkpNkENuN7Z6szu5kre7f1OBc0+px26rn2WKepZmqW676l2B3JNXk25mH5OhB7wR0I6hdSrQap0NhtYMZ4Rq81iMFsVuFxjmjB8weOu3qO49S+5udulxS+HiReme+DPNyL9xfQPvMwX9Xxfqr6fwa0HI9znaOwbnOO5caERJP5lfljgGQ4+1NTWmM8ws1Y5XD5W8n9y8fuB3ffUf6vb+uv0EafudMZx9M+xvetWlOnBjqcFWrCyvWgjbFFDE0NaxjRs1oA7gAANl7KxfuB3ffUf6vb+un3A7vvqP9Xt/XXv8Aamhf8nhPsb3rV0tDqHQGmtWWo7OawGOy1iNnZsluVWSua3cnlBcD03JO3rVx/cDu++o/1e39dPuB3ffUf6vb+uuat09Bqi1Vd/lPsb3rUR9xjQW23uNwe3o9oRfqrc6d0ZgdICwMHhqOIFjl7YUq7Yu05d+Xm5QN9tz+cq328A7e/japJHqx7Qfprc4fgbhacolylq1nCP8A6FotbB8sbAOYepxcPUvGrdLQMP71GueqPeILdaJ8LNGS6izFbNWI3MxFGTtYHO7rUw3AI9LWHrv53Abb7FXmvmONkMbY42tZGwBrWtGwAHcAF9L8lpml16Zi8JVqjmjZCiIiwoIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiD/2Q==",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -298,7 +298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "id": "95f5e026",
    "metadata": {},
    "outputs": [],
@@ -348,13 +348,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "id": "1d0e6c56",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/create-react-agent.ipynb b/docs/docs/how-tos/create-react-agent.ipynb
index b59d99de3..0f354ede9 100644
--- a/docs/docs/how-tos/create-react-agent.ipynb
+++ b/docs/docs/how-tos/create-react-agent.ipynb
@@ -140,13 +140,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "fa16de4c-aac0-4ff4-ab69-60d399f75423",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -268,7 +268,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.1"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/how-tos/human_in_the_loop/breakpoints.ipynb b/docs/docs/how-tos/human_in_the_loop/breakpoints.ipynb
index aa482c19b..0862cef45 100644
--- a/docs/docs/how-tos/human_in_the_loop/breakpoints.ipynb
+++ b/docs/docs/how-tos/human_in_the_loop/breakpoints.ipynb
@@ -106,13 +106,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "id": "9b53f191-1e86-4881-a667-d46a3d66958b",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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F/nSLZ+yv0+YWO1d0RF5SCIiAiIgIiICIiAqlxR9yP9Y4/wDbYFbVG6jwrdQ4axQdK6AycrmStG5je1wex23l2c0Hby7LfgVxRi0V1bImJ+qxqlHIoZ13UdQCObS9i5K3o6Whar9k74x2kjHAH3iF8+Fs95mZX0ql9+vQzPNHujmWTaKE8LZ7zMyvpVL79PC2e8zMr6VS+/TM80e6Oa2TaKp5HW9/FZTFY61pTKxXMpK+GpH29Q9o9kbpHDcTbDZjHHrt3bd6kfC2e8zMr6VS+/TM80e6OZZNooTwtnvMzK+lUvv08LZ7zMyvpVL79MzzR7o5lk2ovCfxk3P1TF/nSLhGVzx6ew3Jj43Wqe3/AEnUzpfB24L1vL5JkcN61GyBlaJ5e2CJhcQC7YbvJeS4gbDxWjfl5nY12w6KrzGuLapie3wNiyIiLymIiIgIiICIiAiIgIiICIiAiIgz/Xo34k8Mum+2Qu+Tfb+AT/Edv+n+h0BZ7r9u/EvhedidsjdO4G+38An7/eWhICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiDPOIBHtmcLtz18I3dum/8Ay+x/YtDWfa+DvbK4YbF4HhG7zco6besJ+/4v9dloKAiIgIiICIiAiIgIiICIiAiIgIiICKv3+IOmMXakrXNQ4utYjcWPiltxtcxw7wRv0PxLre2lo7zpxHpsf1rfGBjTF4onhK2nctKKre2lo7zpxHpsf1p7aWjvOnEemx/Wr0fG7k8JXNncz3iPxU0RU4o8P4rGsMBDNjsneZbjkycDXVnClOwiQF45DzHl2Pl6d62OhfrZWjWu0rMVynZjbNBYrvD45Y3AFr2uHRzSCCCOhBX83PVaep2wXET1Smm81pvNYwYHVEzRnLMFmMsoyR7dpK/Y7APYOm56vB98L3rhNdaD07hqGKx+o8PXoUa8dWvC27HsyNjQ1rR18gACdHxu5PCTNncuyKre2lo7zpxHpsf1p7aWjvOnEemx/WnR8buTwkzZ3LSiq44paOP/ANU4f9Jux9P+qsdW1Berx2K00diCQczJYnBzXD3wR0K114WJh666Zj1hLTG1yoiLWgiIgIiICIiAiIgKt8RL01DSdl0Ez4JJpq9XtYiQ9rZZ44nFpBBB2ediDuO8dVZFUuKPuR/rHH/tsC6MmiJx6InfH3WnbD7pUq+NqxVqkEdavE0NZFE0Na0DuAAXOiLrmZnXKCIiAiIgIiICjdLuGO1plMdXaI6k1OK6YW9GtlMkjXuA7hzAN32A6t37yVJKLwn8ZNz9Uxf50iy24dceHzCx2ruiIvKQREQEREBERAREQFUuKPuR/rHH/tsCtqqXFH3I/wBY4/8AbYF05L1+H6x92VO2HaVR4s8Q4eFPDvN6rsUpcjFjYmyGrC4MLy57WDdx6NaC4Fzj3NBPkVuUNrKvmLWmchDgY8ZNlZGBsMWYa81HgkczZAzxti3mHQHqR0PcumdjFi/FHivxEx/DrTWXx+n8diMle1PjqJjhzbLMFmtLNEG8kwgPiylxjJ5Q5o3cOboDM8RvVFjhvbwWDyNDCV9W5Ckb9inktRxUaNWIO5P96ljBkJduGtbHueVxPKBuqxj/AFOGp6vDnOUILeCw2Ym1JV1JicPQMzsRj5IHxPELSWh4ZI6NzncrAAX9G9Otiz/DbX9rWGE1/jhpf2Wtxb8NlsPdlndjpq/bulidFMI+0a9hJ33j2PO4dNgVr/MOlivVRy6uraPj0rpeHMZPPXchjpIJMxHHBVnqMD3kTxskbLG4HcPZ3gggHfYaFwv4lv1+3O0shiJNP6iwN31jksY+ds7Y3ljZI3xyADnY9j2uB2ae/cDZZVxMh1nS4icERXh07Jq8SZhz4t5occ4mr1aHAOkHidOblO5G+wB2Fl0bE/g1Pns5ruzPkNU6vvm9Z9jeGvXqtdkUUcMULTFE9wDWNb4zw0uJdsOhViZvrGi670fLrfDR42PPZbT0XbslmsYWcQWJWN33i7TYuYCSCSzZ3TbcblZ96mjKZPJ4nV4kzF/UGmqmfsU8Dk8pN29ietG1jXntT1kYJhK1rzuSGnqQAv3iNqXN8YOHmd0/wysS4rUFmNsMl7UWNyGLZBA/cSOifJW8aTbxRsPF5ubyAGf4L4DVuk9OswWocTpnEYvG14a2Lg05bsT7MaHB3adrEzY9GEEbkkuJ+O7ZGiKLwn8ZNz9Uxf50ilFF4T+Mm5+qYv8AOkW39lfp8wsdq7oiLykEREBERAREQEREBVLij7kf6xx/7bAraq3xDozZDSdlsEL7EkM1e12UQJe8RTxyuDQASTsw7ADc9wXRk0xGPRM74+607YfqLgo362Tqx2ak8dmvI0OZJE4Oa4H41zrrmJibSgiIgIiICIiAovCfxk3P1TF/nSKUJ2G57lG6Wa3JayyeSruEtOKnFS7ZvVr5RJI57WnuPLu0EgnqSO9pCy2Ydc+HzCx2rqiIvKQREQEREBERAREQEREEBkOH+l8tZfZu6dxVuxI4ufLPSje5xPeSSNyfjXV9qvRnmnhP8Pi+yrSi3xj40RaK54yt5Vb2q9GeaeE/w+L7Ke1XozzTwn+HxfZVpRXpGN354yXnex3W/DvS9XiDw6rwaexUFe1fttsQx04mtnaKUzmteNhzAOAcB16gHybq8+1XozzTwn+HxfZUPr4kcSuGGztgcjd3HXr/AACf3v8AVaCnSMbvzxkvO9Vvar0Z5p4T/D4vsp7VejPNPCf4fF9lWlE6Rjd+eMl53qu3hbo1p3GlMKD+r4vsqx1q0NOCOCvEyCGMcrI42hrWj3gB0AXKi114teJ/7qmfWS8yIiLWgiIgIiICIiAiIgIiICIiAiIgz3X7SeJfC8hnMBkbu56+L/AJ+v8Ap199aEs84gNLuJfC48rncuRuncdw/wBnz9StDQEREBERAREQEREBERAREQEREBERAREQEREGe6/APEvhh0HTI3dt99/9wn7tv9VoS8Aeqt9Utxe4XeqMwGnqOn9O5GKvY9d6ce6lZL7bbET6/JJyz+M5pe9vihvVoO2x2XvDAHJOwWOOZFYZg1o/XopgiHt+Udp2YcSQ3m323JO23UoO+iIgIiICIiAiIgIiIOOzYjqV5Z5XcsUTS9zveAG5KoUE+e1NXhyIzlnBwWGCWGnSggcWMI3bzuljeS7bv2AA7uu25tuqvcxmPkc30Cq9pr3OYr5JF9AL0MniKaJrtEze2uL/AHZbIu63gfO+emY9Go/u6eB8756Zj0aj+7qbRb9J5Y9tPJLoTwPnfPTMejUf3dPA+d89Mx6NR/d1Nomk8se2nkXQngfO+emY9Go/u6eB8756Zj0aj+7qbRNJ5Y9tPIuhPA+d89Mx6NR/d08D53z0zHo1H93U2iaTyx7aeRdnupeDlXWGpdPagzGdyV/MaflfPjLUkFMGu9wAJAEADu4EcwOxG42PVWfwPnfPTMejUf3dTaJpPLHtp5F0J4HzvnpmPRqP7ungfO+emY9Go/u6m0TSeWPbTyLoTwPnfPTMejUf3dPA+d89Mx6NR/d1Nomk8se2nkXQngfO+emY9Go/u6eB8756Zj0aj+7qbRNJ5Y9tPIuhPA+d89Mx6NR/d19MxeeiJc3WGSld5Gz1aZb3+UNhaf8AqFMomf5Y9sci7saTzk2bozttxMiv05zVsiLfs3PDWuDmb9eVzXtdsd9t9tztuZtU7h9+U9Z/rhn7DUVxXBj0xRiTEeE8YuSi9Ve5jMfI5voFV7TXucxXySL6AVh1V7mMx8jm+gVXtNe5zFfJIvoBdOD1M+vwdiSREWSCIiAiKh8ddOs1bwl1Hh5NQRaWbcgbF4UsSdnFEe0bs17uZviPO0Z2IJDyB1UkWPVWsMVounTtZawa8Nu7Xx0BbG55fPPI2OJuwB23c4dT0HlUyvEmo62js1wkbibWkMLhodMa+xVfLspWPXeL2klriWWGR34sb4ntDmEDl3Id1JJtPFvB0M3xd0hoqtc0titBRacksYilmq0k2KsW2WCyVjGRWIWukjj5C0OLuUOfsAeqwzh6yRePptBYXGZ3gvg9VajxGsNNTZHOvgmD3NoshNfdlZpkmkL2MeC0Bz3dAG+Raf6meSnBleJmM05Y9c6Ex2ebBhCyUywxE1onWYoXEn8G2Yu2AOwJOysVXmw1rVuojpTA2MmMXks06Isa2jiYBNZlLnBo5WkgdN9ySQAASTsFD8N+KGL4m0sjJRq38Zexlo0shi8rB2NqpMGhwa9oJHVrmkOaSCD0Kn89m8dgMc6zk8nWxFd7mwttWpmRNEjzysALum5JGw8pWKephtMral4qYRuTj1TJSzUM82q2EF2SkmrscWScpLA+ENbHtHytA5fFad97M6xviIiyBERAREQdHh9+U9Z/rhn7DUVxVO4fflPWf64Z+w1FcVzZV1n9R9oWUXqr3MZj5HN9Aqvaa9zmK+SRfQCsOqvcxmPkc30Cq9pr3OYr5JF9ALfg9TPr8HYkkXBemlrUrEsEBtTxxudHAHBpkcBuG7noNz03Ud4Ty3wO30ofZVmYhEwih/CeW+B2+lD7KeE8t8Dt9KH2VM6BMLqZXE0c7jp6GTpV8jQnbyy1bcTZYpB7zmuBBH6V0vCeW+B2+lD7KeE8t8Dt9KH2UzoHHT0LprH6cl0/V09iq2BlDmyYuGlEyq8HvBiDeU7+XouC1w10je07WwFnSuEsYKq7mgxcuOhdViO5O7Ii3ladyT0HlK7fhPLfA7fSh9lPCeW+B2+lD7Kl4FR1jwPwOsc/oqxYp44YLTYtt8Ay46OWtYbND2YbynxWBpHNtynf4u9S+W0BL4Ox2P0vn7WhMfTa9oqYGjS7J4JBA5ZoJA3bY7cnL+Md9+m0v4Ty3wO30ofZTwnlvgdvpQ+yl6RCY3hzLJUvUtVaht68xlpjWuoZ6hRMDdjvvyxV4+b/AM246Kx4LT2K0tjY8fhsZTxGPjJLKtCuyCJu/fsxoAH9i6/hPLfA7fSh9lPCeW+B2+lD7KXgTCKH8J5b4Hb6UPsp4Ty3wO30ofZVzoEwih/CeW+B2+lD7KeE8t8Dt9KH2UzoEwi69GaeeDmsVxWk327MP5+n6dguwrtHR4fflPWf64Z+w1FcVTuH35T1n+uGfsNRXFc+VdZ/UfaFlF6q9zGY+RzfQKr2mvc5ivkkX0ArDqr3MZj5HN9Aqvaa9zmK+SRfQC34PUz6/B2JJERZIIuG5cr46nPbtzx1asEbpZp5nhjI2NG7nOcegAAJJPcvqtZhu1orFeVk9eZgkjlicHMe0jcOBHQgjruEHIi4GX60l2Wm2zE65ExsslcPBkYxxIa4t7wCWuAPl5T7y50BERARFwVb9a6+wyvYisOrydjM2J4cYpNg7kdt3O2c07HrsR76DnRFF6g1NjdLVqs+Us+torVuChCeRzy+eaRscTAGgnq5wG/cO8kAEoJREUJqzWeI0Rj4bmYsvgjnmbWgjgryWJp5SCQyOKJrnvds1x2a0nZpPcCoJtF8xvEjGvG+zgCNwQf7D3L6VBERB0eH35T1n+uGfsNRXFU7h9+U9Z/rhn7DUVxXNlXWf1H2hZReqvcxmPkc30Cq9pr3OYr5JF9AKw6q9zGY+RzfQKr2mvc5ivkkX0At+D1M+vwdiSRcF6nHkKVirK6VkU8bonugmfFIA4bEtewhzT16OaQQeoIKqPtQ4L8/1R/+2ZX95VRDeqXmlj4Haphrz2Kty7FFQrS1Z3wyNmnmjhiIcwg/jyN3G+zhuCCCQcn4iSZOStxKyWL1HnceMHl8Rp3T9elkpYYI7Tm1GucY2uAkBdaDXNeC08h6b9V6F09oTG6YuvtU7OZmlfGYi3I5y7dj2JB3DJ5ntB6DxgN+8b7E72FYzFx5h8LxYzVnH/VGDsWrXEHFMe3H4N2QsPJggoxGOV1Tn5ZGGaWUs8QjqQ3Ykqt07mo7fDrMZbGcQTdkyrKGnI5cRqWzlHuyFq3BG60HyRxNqSNY920MTAACd9iAF7CRM0YrntLvtcWdJ6OqZ/UUGJhxmRzWU5M1aEtpxfXghY6USc7W7uleGsLQCzxdhuFQRxKmtVLmlYNT3W6ly/EduNZTbekdcoY+Cyzmb+NzRMkr1HuG+wf2zj15nL1QviaMyxPYHujLmkB7NuZvxjfypmjyforWL9ZZbTd3T2ssvl9XXdX27FvFQ5WWatRwvruclk9fmMcbOwEYYXAO5nsDDtsBoHqT4cHb0nmcxQyVq3m8hlr0+VqT5SxYNN7rUpjifFJI4RyNiEbSdg53KCSei1nRWkqWgtIYXTeOdK+jiacVKF9hwdI9sbQ0OeQAC47bkgAbk9AppIptrkZhez3EmPX7albD8+mPXsbDa8FVnfgC5vO7tTlmv6Dm8b1tuPJG7uNd9UtlcN4X4bYbPZnwDiJ81Jkrt/10avZQ1q0hH4UEGPeaWu0OBBBcNiCQtxRWw8Z5DXurKVTTtC5mrFDQt/IZaxRyeo87ZxE96pG+JtOGS82J8zC7tJpGg8r5GMb43TZ1/o6It3uJ/CfAZ/OZDNZHB4XJZu1dhyNmIOc6WKKuNw8OfytnlZzv8Z7WHm35nBejVCU9HYylqzI6lbFJJmL0EVWSeWVz+zhj3LYo2k7MbzOc4gDq5xJ36bY5o82aJ4g3c1Z0bn2alytvVpt27+r8SLsjqeIoRwzl1eWrv2cDmP7BjCWiRxBdzOG5Xzl7eqtF+p80JnnaiyRzGpZqPh7LZbN2IoaNWZklhzQ/lkbVHN2cHbNj3aHjc9AR6wRM3xGdcCsZkKWjZ7VzNszVbI3H3KHZZSfJx1a5YxjYmW59pJ28zHv53Af+IQBsAtFRFnGodHh9+U9Z/rhn7DUVxVO4fflPWf64Z+w1FcVz5V1n9R9oWUXqr3MZj5HN9Aqvaa9zmK+SRfQCuFutHdqzV5RvFKx0bh74I2KoVc5nTFaHGzYO7lWVmCKK7QdEWysaNmlzXyNc123eNiN+4lbsnmKqJovrvfcu2E+ig/ZBkfNPOfNr/fJ7IMj5p5z5tf75b9HO+OMc0tKcRQfsgyPmnnPm1/vk9kGR808582v98mjnfHGOZaU4ig/ZBkfNPOfNr/fJ7IMj5p5z5tf75NHO+OMcy0pxFB+yDI+aec+bX++T2QZHzTznza/3yaOd8cY5lpTiKqX9fPxmRxtCzpvNRW8lI+KpEY4SZXMjdI4DaXps1rj195d/2QZHzTznza/3yaOd8cY5lpTiKD9kGR808582v98nsgyPmnnPm1/vk0c744xzLSnEUH7IMj5p5z5tf75PZBkfNPOfNr/fJo53xxjmWlOIoP2QZHzTznza/wB8nsgyPmnnPm1/vk0c744xzLSnEUH7IMj5p5z5tf75fTM5k5Tys0pmec93P63aP6SZunv/ANHlPRNHO+OMcy0u5w+/Kes/1wz9hqK4qD0lg58NStSXHMdfvWHW7AiJMbHFrWNY0nqQ1jGN32G5BOzd9hOLgyiqKsSZjwjhFiRERc6CIiAiIgIiICIiDPdf8vtl8L9+/wAI3dv0+sJ/i+paEs91+CeJXDDZvNtkbu56+L/AJ+v/AL++tCQEREBERAREQEREBERAREQEREBERAREQEREGecQC32y+F2/f4Ru8vTy+D5/j+taGs84gN5uJfC4+N0yN09BuPyfP3+8tDQEREBERAREQEREBERAREQEREBERARFDWtZ6foyOjs53GV5GnYtluRtIP6CVlTRVXqpi5tTKKv+2Dpbzlw/p8X2k9sHS3nLh/T4vtLZoMXuzwlbSruvxvxL4X+LzbZG716+L/AJ+v8A7++tCX8yPVfepsxutPVL6fyWlsnjfAusJx4UtQWY3RUJmkdvLIQdmhzPHBJ8Z3MAv6Dab1DonSencXg8ZqDEQY3GVYqVaLwhEeSKNgYxu/N5GtATQYvdnhJaVxRV/wBsHS3nLh/T4vtL6br/AEw9wDdR4hxPkF6I/wDqTQ4vdnhJaU8i4q1qG5C2avKyeF3Vskbg5p/QQuVadm1BERAREQEREBERAREQFHahz9TTGIsZK85zYIRvysG73uPRrWjyuJ2AHxqRWL8ccs61qPE4cO/AVa5vyM/lPe4xxn+gNl+d8S7siybpWPThTs7fRYVTVeqMnreeQ5KZ8WPcT2eLiftC1vk7Tb/xHe/zdPeAULHQqwt5Y60LG+81gAXOi+j4dFODTFGHFohjMzLi9awfzMfzQnrWD+Zj+aFyrP8AK8asPirN1zsdl7GIoTmtczleqHUq8jXcrw53NzENPRzmtIBB3PQpXiU4euqbIvfrWD+Zj+aE9awfzMfzQqBmuN+JwlzPRPxGatV8FK2PJXa1ZjoK7TGyQSEl4Lm8r+oaC4cpJaBsT3NU8V6GCyTsXSx+Uz+RFQXJWYeuJhWidvyPkJcAObY7NG7jt0Cw6Rh6/wA2wXP1rB/Mx/NCGnA4bGCMj3iwKqcH8/f1Twv0zl8pP66yFyjHNPNyNZzvI6nZoAH9AVwWyivPpiqO0fmM7XA3PXeInkxVrcEyVCGh+3ke38V4+JwP/Zbpw54gt1jVkrW2MrZmq0GeKMERytPQSx7knlJ6FpJLT0O4LXOwxdzAZV+B1RhslG7l7O1HBL1PjRSuDHg+/wB4d+loXm/5DI6Mqwpm35o2T8Mom+qXppERfOwREQEREBERAREQFh3GujJW1zQuu37G5juwafIHQyOcR+kicfp2PvLcVXdd6Ph1pgnU3PENqJ4nqWCN+ylAIBI8rSCWke849x2K9H/H5RGTZRTXVs2T/aw88Tzx1YJJppGQwxtL3ySODWtaBuSSe4AeVVdvFvQz3BrdZ6ec4nYAZWAkn56t1+rYxWRlxmRgNS/GPGgf3Pb/AC2H/jYfI4foOxBA63rKv/MRfMC+hzM1RFVExbj8sNis+27oXz107/isH21leB4ReAsrdx1/hrh9W1bOSksw6illrg+t5ZS8iVrwZC9gc4DlBDtgNwt69ZV/5iL5gXMtNeBpZicSdnhzuMjyOgs1LguMdWGgO0z7ZBi2CWMCfegyIf8AFszx2keNt3b93VcGP09q3Q2psndx+nRn6mdxtKKbs7sUElKxBCYi13OdnMI2O7dyDv0O62NFJyam8TEzEx/vw8ZGYcN9RYXhpw901pzVOdxGCzlGhFHYo3MlAySM7f8A59R8Y6Kx+27oXz009/isH21aH1oZXcz4mPd77mglfPrGt+bxfMCzporopimmYtHh/tHUweo8Tqeq+1hspSy1ZjzG6ajYZMxrwAS0lpIB2IO3xhStOi/K5fE0I2lz7N6Bmw8jQ8Pef6GNcf6F1Xvr0IwSWQtc4NAA25nHoAB5Se4AdStc4UcPrGOnGoMvAa910bo6lR/40EbtuZ7/AHnu2HTva3cHq5wGjLMppyXBmuudfZ4z/wBtZ072oIiL5sCIiAiIgIiICIiAiIgjM9prFaoqCtlaEF+Fp5miZm5Yffae9p+MbFVCXgXph5/BHJV2/wAlmQlcB84krQkXThZVj4MWw65iPCVvLOfaH05+c5b05ye0Ppz85y3pzloyLf8AiGV/yzxLyzn2h9OfnOW9OcntD6c/Oct6c5aMifiGV/yzxLyzn2h9OfnOW9Ocv1vAjTgPWfKuHvG8/wD0Wion4hlf8s8S8q3pzh1p7Stj1zj8c1tvbb11O900wG2x2e8kj9AICsiIuOvErxas7EmZnx1ptERFrBERAREQf//Z",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -248,13 +248,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 2,
    "id": "6098e5cb",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/human_in_the_loop/dynamic_breakpoints.ipynb b/docs/docs/how-tos/human_in_the_loop/dynamic_breakpoints.ipynb
index 5fc462063..249bc3981 100644
--- a/docs/docs/how-tos/human_in_the_loop/dynamic_breakpoints.ipynb
+++ b/docs/docs/how-tos/human_in_the_loop/dynamic_breakpoints.ipynb
@@ -58,13 +58,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "9a14c8b2-5c25-4201-93ea-e5358ee99bcb",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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wI0eK5FitSU7rznOKbUtak9aAObSADxPfEgAJJmNcektVhhyXNvmGKUpXIQUpSgFKUoBSlKArvylvDRye/pLI9WNWIqu/KW8NHJ7+ksj1Y1YigFKUoBSlKAUpSgFKUoBSlKAUpSgK78pbw0cnv6SyPVjViKrvylvDRye/pLI9WNWIoBSlKAUpSgFKUoBSlKAUpXwt5ts4WtKT14JxQH3WJd35kW1TXrfFROntsLXHiuPcyl5wJJSgr3VbgJwN7BxnOD1V7d1M/wB83/mFO6mf75v/ADCrRg/LXav/AEhT+tNf6EusrZwuzydF3Z2Y7BdvBWp9RQWy0SY6S2Qe3CvFir48l7b1J5R2zZ3Vz+mF6Va7vdhsR1TO6g+hCUEupXzbfDeUtGMHi2ePYKM8ubktT3+UdYpmk46VxdoEoN94PwcedkB5SyB3qVJIdJP/AIp6k1+jezbRdm2XaDsWlLOptFvtMVEZs5AKyB3zisflKUVKPnUaUYJTSvLupn++b/zCndTP983/AJhSjB60pSoBSlKAUpSgI9ru6SLVp8qiumPIkSY8RLwAJb515DZUMgjeAUSMgjIGeFR7oBppQ/C2K3yVk5U7KjpecWcAbylrBUonAySSTW12mfiGF87W/wBabrw1HqK2aRsU683ma1brXBaU/IlPHCG0DrJ+4cT1CvUkxOXJThdKt8jLBXGD732lvJqz+gNfw0977S3k1Z/QGv4a51rflP6Z09s86V2hEy9R/dWLaVNKt8tlba3Vo3ipCmd8bra98ZSAs7qQcqTmW3nbRpDT2n7VeLlcZESNdSoQmHLdJ7sfKfhbsXm+e4dZ7zgCCesVn2iZrviSrzNx732lvJqz+gNfw0977S3k1Z/QGv4ajkvb/oGHZbLdjfw/CvL7sWCqLEffW682kqW1zbaFLSsBJ71QByMYzwqQ6I2gWDaNanbjp64pnxmXlRngW1tOsOpxvNuNrSlaFDIO6oA4I8dXr5mu+Iq8z6977S3k1Z/QGv4a/qdAaXQoKTpu0JUDkEQWsj/21865d1Q3YVDSDFrevS3UISq8LcTHaQT36yGxvLIHUkFOfGO2KbHdod+1bc9ZWDU0a3C86YuDcJ6bZ+cESUHGUPJKErJUlSQvdUkqOCOvjU6+ZhafEVeZNdNob03qxizQgGbXMhPSEQ0/2bDjS2kktjqSlQdGUjhlIIAJUTOagrXhLsfzXP8A3sSp1XJpV7hieLXNoMUpSuMgpSlARLaZ+IYXztb/AFpuo7tXtdrvWznUEG9WadqG1PxVIkW22tlcl9JI4NAEErHAjBByOFSTaWgq09FV+Si6QFqOM4HdTXH/AL/XwrIr0pd8hb3yMvAqfPja+1XsZ1bFdt2o79bbPfLXMsRvsHua8zYjD8d99C2iElakbiwlRSFLx2mtntMjSNT7RdI7RHrBrtzSjlolWh+LZEzYF1gPl9K0urYZUh5TawgggA9SFEcBVnaVjZMSp96Zsmze+bHr3adN6rYYnakutxlW64Jfm3Z11dveaU6pC1rcJKUJXu5zu8cb2RXTthlvul01ptI1vMss/Ttu1JNiCBb7ozzEpSI8cNKfca60b6s4CsKwgZArpV30jab9erHdp0Tn7hZHnJEB7nFp5lbjSmlnAICsoWoYUCOORx41j6t2e6Y18iKjUun7bfkxSosJuMVD4aKsb27vA4zgZx4hSzQGq2ya3uezzZ1eL1ZLDcNS3ptvm4Ntt0RyS468rggqS2CQgHvlHxA9pFQ3kwyokPSDtnTaNTxbwlZuF3umorK/ANxmvqKnnUlxI3u+GAB8FIQK6BpPZdo/Qkt6VpzS9osUl5HNOvW6E2wpaM53SUgZGQDipPVo61BqGvCXY/muf+9iVOqg7CCvaTaFJ483a5u8MHhvOxcf/U/s+WpxWrSfo3c2V+ApSlcZBSlKA8ZkNi4RHosplEiM8gtuNOpCkrSRggg9YIqLL2fyEd5F1VeojA+C1/Vnt0dg33WVLPV1qUT4yal9K3QTY5d0L5/yWtCG9ALh5Z3v6iF/L06AXDyzvf1EL+XqZUrZ2mZs4L2FSvO1276l0BtA2W2KBqqe/E1Vd3YExcmNEK220tFYLZDIAVnxgjzV1ToBcPLO9/UQv5euU8pbw0cnv6SyPVjViKdpmbOC9hUhvQC4eWd7+ohfy9f1OgrglQJ1lelAHqLMLB/+PUxpTtMzZwXsKmosGmo1gDy0OvzJj+6H5stYU66E53QcABKRlWEpASCpRxlSidvSlc8UTjdqJ3kFKUrEClKUApSlAKUpQFd+Ut4aOT39JZHqxqxFV35S3ho5Pf0lkerGrEUApSlAKUpQClKUApSlAKUpQClKwr1ZoWorNPtNyjol26fHciyY7nwXWlpKVpPmIJH66A4JylvDRye/pLI9WNWIr8H9veyWbsQ2s6h0fM33EQXyYshQ/t46xvNL6sZKCMgdRyOyv1Z5B2yGXse5PFpi3ION3S9vqvcmO4MFguobShGOsENttkg8QoqHZQFh6UpQClKUApSlAKUpQGLdLnGs1vfmy3Oajsp3lqCSo+YBIyVEnAAAJJIA4mosvVmpXe/jaahIbVxCJt1LboHZvBtlxIPjAUR5zXvtLURYIY4EG628EEZB/rTVZNehJggUtRxQ1q3n4UyazMsEa3pRq3ycs/207/K06Uat8nLP9tO/ytbBxxDSCtakoSOtSjgCvqtvdeWvu9yV2FeNu/Jxf29bQ9Faqu9ks8ZywO4lxRcluC5xwoLQwtRjDdSFb3HB4LWMcQR3XpRq3ycs/wBtO/ytbKlO68tfd7iuw1vSjVvk5Z/tp3+Vr+p1PqwqG9p20BOeJF6dJ9Vr2ut2g2K3vz7lNj2+CwnfdlSnUtNNp8alKIAHy142HUdp1VbW7jZbpDvFvcJCJcCQh9pRHXhaCQf207ry1xi9xXYbfT2pjd3nocuIq3XNlIcXHUsOIWg8AttYA3k5yDwBB6wAUlW9qDMqKdpVlAwN61zsnHE4diY4/rqc1xz4IYIk4bk1X+VyDFKUrmIKUpQES2mfiGF87W/1puo/tVlanhbOdQv6LjtStUtxFqt7LwBSp3s4EgE4zgE4JxnhUg2mfiGF87W/1pusbUtjGpbDNtZnzrX3S3ud2W1/mZDPHO82vB3Tw8VelB8iHe+Rk8EVW2jXydrrYG8lO0C7XG5wtVWlqY3Ps0eBPhKVKjgMPsc3gFK1c6lQACt1IypO9vTjabrnW9g1hprZ1YJ99u1yVaXrvcb3boFucnvIS8lpCUtvqZjpGVHeISTwQAniVCXI5OGnHdK6ns1xuV7vMnUb7EmfepstJnKdY3O51oWhCUoLZbSU4Tjhxzmve87A7ffIlhckao1MjUdl55MXU7MtpFxLbpytpag1za0Hh3qmyBujGDWujMTmzWs9q8uTs809eZ0rR9xu9/uEB2c5BhLkzITUJb7LqmkqeabcJTukJVjKM4IO6eibHdV6gkat17ozUdyTfpemJMXmLwI6I65LEhgOoS4hACA4ghQJSACN04FaHaDsTu92umyyBbL1f3YVkuM2TP1Cq4tm4sByK8Er33B32XFpRupQQEnG6EjhIrJs/ueyK3vo0ZbG9W3G6ylzLvdNT3xbEp93dSlCitEZwKwkboSEoSkJGBxNVVTB0a52qFe4TkO4w48+G4UlceU0lxtRSoKSSlQIOCAR5wDXDeTUwu3662sRLnbGNN6jcucSZLsFvIVBjMrjBDLrKxjnC6G1qWrdQd4EFIxkzt22av19ap9o1JBb0bHcShbNz0vqJx6WlxK0qAG9FbCRw453gRkFJBNZezjZNa9mz94mx51zvd5vDja7hd7zJD8qRzaSltJKUpSEoBICUpAGTVxaYN+14S7H81z/AN7EqdVBWvCXY/muf+9iVOq16T9G7myvwFKUrjIKUpQGj1lZn75YlMRdzutl9iUylw4StbTqXAknBwFbu7nBxnPZUaXrSDH7yVGucR8fCZctsgqSfFlKCk/KkkHsJroNK6pc5QQ2IlVb6cmWuZzzp3afFcPsuV7OnTu0+K4fZcr2ddDpW3tErUfH8C45fO2raYtcqFGmTnokma4WorL8GQhb6wMlKAUZUcccCs3p3afFcPsuV7Oudcpbw0cnv6SyPVjViKdolaj4/gXHPOndp8Vw+y5Xs6J11alEACfk8ONskj/p10OlO0StR8fwLiGacjPXrUjd8MZ+JCjRHIscSmlNOvFxTalr3FAKSkc0kDewSSrhgJJmdKVyzJnWOvgGKUpWogpSlAKUpQClKUBXflLeGjk9/SWR6sasRVd+Ut4aOT39JZHqxqxFAKUpQClKUApSlAKUpQClKUApSsC/zJtvsVxlWyCm6XJiM47Ggqe5kSHUpJQ2XMHc3lADewcZzg0BwblLeGjk9/SWR6sasRX5Y7U/6Q06613oC8u7PXbU7o66uznIbl231SCWy2WySwnmyD2kH5KvbyXOUC5yk9nUvVa9NuaYbauTkBqO5K7pDyUNtq50L5tHDecUnGDxQePYAOw0pSgFKUoBSlKAUpWPcJ8e1QX5kt5EeKwguOurOEpSBkk1Um3RAyKVwTVu068amfcat8l6y2nJCAx3kl5PYpS+tvPWEpwR2q7BCX7VGlLK5CVylniVyHVuKPylRJr6ST0JMjhtTYrOyleaLcWxpVSvcC3fojf7Ke4Fu/RG/wBldPwFeb9v9iVRWLlzcly42/lI2dzSsDeibQJQ7nbQDuNzioB8HAO6k7wdJP56+xJr9JtlOzm27I9nVg0haR/UrTFSwHCkJLq+txxQH5S1lSj51Gq7e4Fu/RG/2U9wLd+iN/sp8BXm/b/YVRbWlVK9wLd+iN/soLDb0nIioSfGMg1PgK837fyKotrSqzWTUN60y8hy13aS2hOMxZTipEdY8RQo5T8qCk+frz3HQmuo2tYCyECLco4AlQyre5vOcKScDeQcHBx2EEAgivJ0zoyboit1tQ55by7iUUpSvIIK5Ht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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/human_in_the_loop/edit-graph-state.ipynb b/docs/docs/how-tos/human_in_the_loop/edit-graph-state.ipynb
index ef8b7812e..bf5a25dc5 100644
--- a/docs/docs/how-tos/human_in_the_loop/edit-graph-state.ipynb
+++ b/docs/docs/how-tos/human_in_the_loop/edit-graph-state.ipynb
@@ -114,7 +114,7 @@
       "outputs": [
         {
           "data": {
-            "image/jpeg": 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",
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",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
@@ -553,7 +553,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.11.8"
+      "version": "3.11.9"
     }
   },
   "nbformat": 4,
diff --git a/docs/docs/how-tos/human_in_the_loop/review-tool-calls.ipynb b/docs/docs/how-tos/human_in_the_loop/review-tool-calls.ipynb
index 2cb0e427f..0c0d27a3c 100644
--- a/docs/docs/how-tos/human_in_the_loop/review-tool-calls.ipynb
+++ b/docs/docs/how-tos/human_in_the_loop/review-tool-calls.ipynb
@@ -108,7 +108,7 @@
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/human_in_the_loop/wait-user-input.ipynb b/docs/docs/how-tos/human_in_the_loop/wait-user-input.ipynb
index e34b91439..3c0f4dc6a 100644
--- a/docs/docs/how-tos/human_in_the_loop/wait-user-input.ipynb
+++ b/docs/docs/how-tos/human_in_the_loop/wait-user-input.ipynb
@@ -102,13 +102,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 1,
    "id": "58eae42d-be32-48da-8d0a-ab64471657d9",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -342,13 +342,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 2,
    "id": "f5319e01",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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D0EEFuzo6JBh00OQW9xZWY5VSkHXbW6WOeJ3zjZa//wCWBbza050rfdn0d/T5zd63ibd2nKucpc/cSOBtTasfwyx43bMiv1rsUdRHCaS62+OSAPe10YdHVwujfyjbWvGntaNbdzEqTWLg7d8txPGq3NbvcLVndqNQ2G82SpijqoqeR55YZHCPspPMEYd975eZux6zPMu4hUWBWGovWR0VfZbVBrtKuthbGwE9ANl3Uk9AB1PoXnknEm34hZ6a63iiuNBbamaKnhqpKfcckkp1G1pBO+Ynosavd3JM7Oeel4san4U0EdRiFTUXW73GrxmoqKqmqa6pEslQ+aOSN/bOLdkASu0G8oGmgdBpYl24I4/erTmNvqpq90OT18dyqXsmaySnnjbE2N0Lg3zeUwRuG+brvvB0pj5Qr/Zy9fVP90FdcXdG43ei70A0wbv6S4BNXu7m+nZ3w88ZskmO2Snt8t0r71JDzbrrm9j6iXbi7zixrW9N6GmjoAvC7XCro6iS7UVlrsijx5vjktvtnK6epncOSOFgcQC4NkdKQSNcsf4wW7ocbyK+ycslOMeoydOmmeyWqI/oMbzMafncTrpth9ErudFU4jg90bi9tjrbpS0c8tDRTScoqqkMLmNkeeu3v1zOJ31JW1NPI7Znb3+fs850sTiadHk7e1op+N+LWelwz4Rz1GJXLLdNtlpvUBiqnSnk3C9reZrJAZGDlLu92u9TqOphmllijlY+WEgSMa4FzCRsAj0bBB6r5iX3/ijcQ4LjPRVeB41Ty0k5a6mrYqh0kErHdzgZBpzXD1AghdH+BZebnx0flnGC/wCH2bFrrd2i0Ul2tDKmOprI2AdtI4SudG9gcyBjHNBPNDK0/F0oXHdYoqii4fcR8A4VTWbEczjyvKmVnbU1zznnkb2GxuF7ohzO6Do7v84qQV+b5TZszxWwy4XU3WhudNu4ZFb52CloKgNJc10bjz8p5ejt/hNHU7QT1FBMX434bl16zG1UN17OsxCV0d6FZA+njpAC/wA8yPAYWfepDzBx6NJOgpjbbpR3qhhrbfVwV1HMOaKoppGyRvHdtrmkg/QgykREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEWNcrnR2agnrrhVwUNFA3nlqamQRxxt9bnEgAfOVDLvxQniynDrZYsZuOUWvIY3VLshtzozb6OmDQRK6Uu04u5mFrR8ZpJaSRohNLhcaW00U1ZXVMNHRwNL5aiokEccbR3lzj0A+cqD3ripUw5LhVBj2MXDLbRkbXTuyG2Sxmgo6YBpEr5N6dsPaWga5hvlLiNLwtvC+6XqPNKHiDf4M3x2+1INHZJrdHBDQUzXEsiJadyu+IS52urBpTy02ihsFspbdbKOnt1vpYxFBS0sTY4omDua1rQAAPUEEBtnCu63afOabPciZmuN5BMG0lhnoGQwW+laXFsW2ncjjtu3nR2wEKeWay2/HbVS2y1UNPbbdSxiKCkpImxRRMHc1rWgAD5gs1EBRbihxIsvCHAbzl+QyyRWm1xCSXsYy973OcGMY0D8Jz3NaN6ALtkgbIlK/hOhs9yD4ieEr4UOU+Enk7ay6u8n2Kke422ywPJipwenM4/hyEd7yPyADovp8zKzJ4MfDC7uwP7pD6ykspda+w7bsXPij3U67KTXZHbt8o1r4w71RnC/wT+HHhSS8Rs0r7I2wY9cLx5Oxd2OBlCKekpSI31EbGtMTu2cHA87Ha07Wjorpep4aZlhnBfDsO4e5DRUN2sgt9LUXKvh0yppog0VGmOZNyukAJA/B3oOGtoLaREQEREHDvh0eA/cuK94hzjh1QRVGTTubDdLX2scDatoGmztfI5rQ8AAOBPnDRHUHmsDH/AARsq4LWG2nhHxIq7TcaWmiZW2i+RuqbNcp2tAkl7Ilz6YyO24ljnEb0NALqJEHOVD4WFdw9rYbTxsw2swCpe4RR5BRh1bZal3oImYCYifxXg6HeQr+sd+tmT2unudnuFLdbdUN5oauimbNFIPW1zSQfoWRXUFNdKOakraeKrpJ2FksE7A+ORp7w5p6EfMVQF98EOjx26VF+4Q5NX8Kr7K7tJKWg+/2mqd6paN55PmHLoN9DSUF83ey0F/tlbbrlRwV9BWwup6mmqIw9k0bgQWOB7wQT0PrKr7IvB+x+54XYcXsVwvOC2qyVnjtGzFq00bmuJeXNcdEljjI/bf6R7lXLfCOzrg24UvGvB5IbWw8vw1xFj6y2kfjzRftsA+cg7J6N0r1wrP8AG+I9kju+L3uhvtuf07ehmEgafxXAdWu9bXaI9SDUusucN4qtubckoH4G6j7N9jdQgVLKgb1I2cHZBJ6g92gAO8qP0HFjKsewXJ8jz7Aayy+R6rs4KOx1DbpPX05c0CZkceuXXP1aTsBrj0AVqogidu4p4xXW3F6ue701pfk0Dai1Ud1lbS1NUHBh5WRvIcXASM20bI5gpYtPe8PsOS1ttrLtZbfc6y2zCooairpWSyUsoIIfE5wJY7bQdt13BaKi4VW6z5rkWV224XSlvF7puwnZJXSTUjHhrWtlbTucWB4DGjprpsekoJqiqirpuK/D7heGUFVRcVsxhq99pXRxWgTUx/B0wlgeAANnoSd/Mt5X8VPI/EHHMPrcZvzq280hnF0o6MzWymkDXufDJUbADgIyQNdQW92wgnaKM4vxLxbNbjfaCx36iuddYqh1Lc6eCUGSklDnNLZG946seN9x5TruUmQEREBERAREQEREBERAREQEREBY/lCl/nMP5wLIXPcHHC3XPKaiz2fH8hvtPSV3k2rvNuomvoaeoBDXsc9zw48hOnFjXBvXZ6FBfnlCl/nMP5wJ5Qpf5zD+cC51r/COxu33Wsidbr1LY6G4C11mTRUjTbaep5wwsfJz8+g9wYXhhYCdFy8734SFhsVVkImseQzW7Hq7xC7XWCjY6lo3aYedzjIHOZqRpPI1zmjq5oBBIdHeUKX+cw/nAnlCl/nMP5wLnCHi/eX8frnhAxmvqrNT26kqGV9MyHTHSvkDppHOmB7HTA0crC7ma/Y1yk6zHePtLbsbu15vUWQVfaZZJYae2yWyBtVSSlreSnDIZXCRoOwH75iX9RobQdReUKX+cw/nAoVkvFKex59i+OUWMXS80t3Ej6q903I2jt0bQdGV5Pxi7lHJ0JBJGy3lVXO8IOx0tjv9fcLRerXV2KsoqKvtNXBEKqN1VJHHA8cshjcxxkB2Hno13TY0t/kPFiwYpk1dZrrJNRGisj7/AFFbI0eLx0zJOzcNg8xfvroN6j076IJDaOHFXkFNmFr4g5JR57Y75V89JZpaCKGGipmPLmReaSZT0YS466t6KxLXa6KyW6mt9upIKCgpoxFBS0sTY4omAaDWtaAGgDuAVMcOONNvyPOLXZKuwZBjNbcYpprd5comwtrWsZzP7Mte7Tg083I/ldrZ10KvFAREQEREBUz4XGfVuD8FbnT2bb8mySaLHbPE06c+qqj2Y5T62s53D52hXMucbyPuw+GNbLYPv2P8Mbd5Rqh3sddasahY4enkhBeD6DtBcvCzAaLhZw5x3Erfo01ooo6XtANdo8Dz5CPW5xc4/O4qJeEha8Ju+DW2HPbxW2SztvVDJBUULC57qoS7hjIEcnmud0PQflHerWVdcdLt5GxGhn+AP3Rua60kfkrsO27Hmk141y9lJrsvjb5Rr8Yd6CxUREBERAREQEREH8c0PaWuAc0jRBHQhUTm3ggYndb1JkmE1tdwuzA9fK2MP7GKU9+pqfpHI0nqRppd6SVe6IOaPutcY+Bn3viXiI4gY1F0OW4ZFupjZ+NUUR0R6y5mmtA9KuHhjxownjJazXYfkVHeo2gGWCJ/LPD/AFkTtPZ/7gPmU2VOcT/BTwTiVdBfY6WpxPL2OL4clxqY0Va1/wCM5zekh9ZcCddAQguNFzMb9x74CjlvNth43YjF/wCoWiMUl8gYPS+Dq2fQ6aZtx6kkKzuEvhGYFxpa+HHb01t4h2KiyXBppq+ncPjB0Lup16S3maPWgstERBGrvw2xe92nIbbU2OjZS5DC6nuvisfi8lbGQ5pEkkfK89HuG97HMfWofX8Dqi04ViuM4Hl90wagsFT2rOwa2sNTEXOLoZO1J5m+c7WyddO/StVEEKil4gt4qzRywWB3Dp1HzRTMfL5TZUjW2uB+98hJOtbPTr3qO2zwgaOg4eX7MM7x288ObbZqwUlQLzAXl4c6NrJYhHzOewmVo2G94d38pVrr8yMbKxzHtD2OBDmuGwR6ig1FpzGyXygs1bR3OmkgvNM2rt3M/kdVRFrXB7GO04jT2Hu6cw33rcqI5NwlxDMb3jl3vFhpa25Y5M2e01B5mmkeC0gsDSBrbGnR2PNHTosah4f3Wy5TlF+o8wvFa67QEU1ousjZqCgmDQGvhYGhzW9Btuzvbj3lBNZJGRMLnuDGjvc46AXj5Qpf5zD+cCrafI8qwbheLjxGmstTUU0kr7rc7NzwUtLSMa97JiyQl73EsjYWt/Ck2BppUGtfHq11le2juOPZFjc89JPW0LbzQth8ejhZzyCIh7tPDfO5H8jtejodB0F5Qpf5zD+cCCvpSf3TD+cC56w7wgbLmNzxulZZb9aqfJKd1RaK+50jIoKzli7VzGkPc4ODOYjmaA4NJaXDRMPzjwj3VsliixChvbaGfKrfaX5J4hG63VLHVbYqiKN7iXEEc7O0DANg8rt6QdeoiICIiAiIgLlPhvbc74TzVeJxYc2/2OS81FXTZBDdIYWspqiodK7to3/fDIztHDTWkO0Oo711Ytf5Bof5D9N3vQcbXbhbnn3Pci4TUmPQy2S7XWoliys18Qigo56o1D+eEntTM0OcwAN5SeU8wC3l84W5NV8M+O9phtnaV+TXOrqLTEaiL9kxvo6eNjuYu0zb43jzyD033ELq3yDQ/wAh+m73p5Bof5D9N3vQc4vx/KsW410+RUOPOvlnutjorRVyw1kMT7fJDPI50jmyOHOzlmJ8zZ2wjXUFRh3CjKi2QeS+p4otyMfsiL97wW/fvjfMfM+N/RXWvkGh/kP03e9QHMrbJieaW/KbjmNBYeH9PRPprjarlHGxklU54EErJyQ5rjzFpaXEHTQG7cSAo3iRwiyjKLtxant9FERdosfntTpqhjW1UtFM6aSM6JLN6a3bgB5w9AOtVn3C7NON2R5RLX46cQoLjh7rRSSVldBUPFUKtk7RK2JztNPL3jm80HfU8q7F8g0P8h+m73p5Bof5D9N3vQc58AMCgt+b2+treCtjwSvo6aT/AM4o5qSRzpy3kc2ARAvDHNdJ5zy060NHZ104sOC00lNK2WKLle3uPMT/APlZiAiIgIv4SACSdAekrmXMOKmS+EbkdfgXCGvda8bpJPF8h4hRjccP41NQn+MlIPWQHTQdg9WuQbbihxvv+aZhVcL+DvY1mUxebe8mlbz0OPRnodnukqO/ljG9Ede5wFi8F+C9k4JYvJbLXJUXCvrJjV3S817zJVXGpd8aWVx/wHcB6ySTsuFvCrG+DeIUuN4vQNoqCHz3vceaaolPxpZX973u11J+YDQAAlyAsW6UTrnbKyjZVT0LqiF8QqqVwbLCXNI52EggOG9gkEbA6FZSIKix3KfuIR4Bw+yy933L7veXz0dLkktvJje9m3RxTvbvTzH0DjzE9m9ziBsq3V/CAdbHd3Kmob2fBox+nhy/JMkzeivORGmo7hLQ+MSW5lQdxxzujG3MEnmh2t7ka1rQAAAuZERAREQEREBERARFXXG7jhY+B+Mx19xZLcrvXSeK2ixUQ5qu5VJ0GxRtAJ1sjbtEDY7yQCHrxo41Y/wPxUXa8ulqqypkFNbbRRt56u41B6NiiZ3kkkbPcN/OAaz4KcBLpes8l4x8VKSldn1awC3WiBoMFip9EMYD/GTcp8553rZA9azuCvBC+V2VHipxXfFcuIVUwtoLbGeakx6nPdBAOo7TR86TqepAJ25zr+QEREBERAREQEREFc+ERgE3FLgrlmLU1SykqrlSCOGaQbY2QPa5nNr8EuaAe/oT0KobCOGoMNe6TglY8Iu8VqqIo7rRz0b3SVL4zHyQdn5zWOa5/nPLSBoEHZI67ngjqYnRSt5mO7xvSw/IND/Ifpu96Dly18MsjhxrgDRzW4snxdkTbw0VEe6XVskgd1DvP++ODfM5u/fd1URtXD7iNa8Ewvh0/DmVNHjWRW6f4QwXOnbDU0cFa2XtRC5wkD+T4zSO8EgkkBdPYxi+URcSM1mvctFNhkraL4PU0JInhIiIqu1OgTuTRbtzunqU0FioQQRB1H9N3vQZ6IiAiIgIiICIiAiIgLQ5zg1i4k4tXY5ktvjutlrg1tRSSOc0PDXB7erSCCHNB2CD0W+UD44Yflec8NrtaMKyufDsimjIp7hCxhDttLXRvcWOdGHBx1JFyyMcGuB6Frgriu8MXCOHOJXOfOaeqwq6WutqLdTY5ODPW1zIecRTU7QBzRSdk5rZnajDwWmT0m9rJeaPIrNQXa3TeMW+vp46qnm5S3nje0OY7TgCNgg6IBXwi4xcO804a51cbdntHWQZBNI6plqayQzGsL3EmZsuz2vMSSXbPXe+oK+23BQa4N4GP/oFB+rxoJoiIgLwr6+mtdFUVlZURUlJTxulmqJ3hkcbGjbnOcegAAJJKwcpym0YTj9dfL9cILVaKGMy1FXUu5WRtH+ZJ0AB1JIABJXM9La8j8Ne4QV95hrcW4GQSiWktTiYa3Ji07bJNrrHTbGw3vd0PfpzQ/d0yPI/DOuNRY8TqqzGODEEpgueSsBiq8g5Tp9PSb6th7w6Qjr3a72npHDsNsvD/GqDH8dtsFps9DH2cFLTt01o9JPpJJ2S47JJJJJKz7XaqOx22lt9upYaGgpY2wwU1OwMjiY0aa1rR0AA6aCykBERAREQF/CAe8bX9RBT99rpvB5pc8zrIskyLK8YrayGritMdGKh9oa4hkpjLdHsWgtdo6DGsPxnEl1oyX63wWF16qKuOjtTKY1klXWHsGRQhvOXyF+uQBvU82taO9aWcQCCCNg+gr47eGJ4Vdbxjz7JLdil/vbeHlU6mYbfVzcsFXJT8wErIuUOjjc48/ZuJLnNa9wDg1kYfYG3XGkvFvpa+gqoa2hqomz09VTSCSKaNwDmvY4bDmkEEEdCCslch/8ADR4ufDvgfLi1XN2l0xSo8XAc7bnUkvM+En8hErAPQGNXXiAiIgIiq7jvx5tXBOx0oNNLfcruz/FrJjlF51TcJz0AAGy1gJHM/XT0bJAIe3HPjrZ+CGPU89TBLeMhuUnitlx6i86quVQdBrGNAJDQSOZ2jrY7yQDD+CHAu8syaXijxTnhvHEquj5aemj86ksFOd6pqYbI5tEhzxsnZAJ25z/TgXwHutryGo4l8TaqK+8ULlHyjk86lslOd6paUdQNAkOeOp2QCduc+90BERAREQEREBERAREQFpcrzXHsEt0dfkt+tmO0EkogZVXWsjpYnSEFwYHSOALiGuOu/TT6lulXHhC8IKTjpwiyDEKgsjqKuHtKKoeP2iqZ50T994HMNO11LXOHpQQLD+KvBSx8W+IWR03F2xT3G+ttwq6arvEDKODsYXMZ4vISGv5gdv5XO0dA6PRX3bblSXi3UtfQVUNdQ1UTZ6eqppBJFNG4BzXscCQ5pBBBHQgr4gcBOA114t8drbgVTTTUhgq3eWQRyvpIIXff9+p3TkH9JzQvt/bbdS2e3UtBQwMpaKliZBBBENMjjaA1rQPQAAB9CDJREQEREBERAREQERYd3ulPY7TW3GrcWUtJC+eVwGyGtaXHX0BZiJqnKBgZLldLjUcTXxy1dbPvxejpxuSTWtnZ0GtGxtziB1A7yAYbPk+WV7i8VFutMZ0RDFA6pePXuRzmg/QwfSsG2tqagy3K4AeVK7UlRokiPp5sTd/gsB0O7Z5nEbcd5qkquRbnRoiJ+3p7urLx+Du2cHRTTnXtlAuLXCqLjfjnkTMaumulKx3PDJ4gxk1O/wDGjkaQ5p7t6Oj3EEKVWWHIMds1BarffY6egoaeOlp4fEWu5I2NDWN25xJ0ABsklbNYdXeaCguFBQ1NZBBW17ntpaeSQCScsaXv5G9500EnXcsaxXuj3aeCxq9nsvbynlntHH9nx+9PKeWe0cf2fH71gtya2vyeTHhUE3iOjbXup+zf0gc8sDubXL8ZpGt76d2ltE1ivdHu08GNXs9lXfErhXVcVrzj9Zk94bfrdZZjUx4/VQGOgqpfQ+djHDnLfRvY6kEEFwN0YvmsNznZbKyj8k3ANIih5w6GdrR1MTxreh+CQ1w0TrQ2o2sevoY7hT9lJzNIcHxyMOnxvB217T6HA9QUi9Fey5Ee2Iyy7solFcwluqPoxlK1kUfwa/y5Dj0U1UWG4QPdS1fZjTTMw6c4D0B3RwHqcFIFrVTNFU0z1ODMTTOUiIi1YEREBRTI86bbayS3Wyl8p3KPQmBf2cFPsbHaP0fO0QeRoJ0QTyhwJ989yCew2WNtG5rLjXTto6Vzm8wY9wLnP16eVjXu13Hl0e9Q6hoYrdSR08AIjZvq5xc5xJ2XOcernEkkk9SSSepUsZUUxXVGefRHz8/LbfwuHi79Kroesl8y2pPM68UNIT/F01BsD6XvO/8AD6O5V3n/AASsfFFsvwot9kus8p26rdZoo6k//eYWyD6HKxkWNYr3R7scHW1a12VOcIvBotPAvKrhfsMulTap66l8UlpnNM0HJzNdsNe4nmBb0JJ6E+tW75Tyz2jj+z4/esDF8qteZ2dl0s1V45QOlmgEvZvZt8UjopBpwB6PY4b111sbGitqmsV7o92ngxGHsztimHj5Tyz2jj+z4/enlPLPaOP7Pj96wMdyq15XFXyWqq8aZQ1s1uqD2bmclRE7lkZ5wG9HpsbB9BK2qaxXuj3aeBGHsz0Uw8fKeWe0cf2fH71A7PwlfaOJtz4guvclxyyuj7BtfcKZsxpIf5KnaTyxN7/ijZ2evU7sJE1ivdHu08GdXtdl4+U8s9o4/s+P3r9sveXU5DmXqiqSPwKq3eafpZI0j/H6e5ftE1ivdHu08GNWtdlv8dz11bWRW+8UQttdKeWGWOTtKac+pr9Atd6eVwH9Eu0VL1VdZRw3Clkp6iMSwyDTmn3+g+kEdQpXw+vs92tdRSVsna3C2zGmmk7jK3lDo3/lLHN36OYOWdlymaqYymOmPnx85cvFYaLX0qehKURFE54iIgKH8SL1crRT2SK11TKOauuHiz5nxCTTOwmk6A+ncbVMFBeKf7ZiX98H9TqVJROWc7oqnuiZQ3qpotV1U9MRPwajx/K/aSP7Pj96eP5X7SR/Z8fvWSi4nOGI3x7tPB4jnLF9vwjgxvH8r9pI/s+P3p4/lftJH9nx+9ZKJzhiN8e7TwOcsX2/COCAYxwpbh/ELJs2tVwipsiyIRtr6nxFhDg0fgN3pnMQHO18YgE9VNvH8r9pI/s+P3rJWpyTKrXiNLS1N2qvFIaqrgoIXdm9/NPM8Rxs00HW3OA2eg31ICa/iJ6492ngzHpHFzOUV+EcGb4/lftJH9nx+9PH8r9pI/s+P3rJROcMRvj3aeDHOWL7fhHBjeP5X7SR/Z8fvU1wW7VF/wAJsFzqy11VW2+ColLBoF742udoegbJUTW/4V/wY4j/AHRSf6LV0sNfrv2q5uZZxNPVEdMVbojc9B6KxN3ERc5Wc8svmlKIild0REQFEuK3P8Abpyb/AIrn1+J2rOf9HalqxLva6e+Wqtt1W0vpauF8ErQdEsc0tP8AgVLaqii5TVPVMNqZymJV4qW41y1mTZnacTsMmQvvrLfLcZI7VfjaKaKAvEbZZpWse57ucENYGkfGLhrSty2uqaYy224EeVKHljqNAgSDXmyt3+C8DY79HmbvbTrQZjwqxbPq+krb5bPGquljdDHNHUSwOMTiC6N5jc3nYSBtjtt+ZQV0zRVNMvTVf1KPo9aicJzTI+LVDwkx67ZFX2iG7WOsuVxrrXP4tU3GankZE2JsrdFnRxkdyaJ16AtzxG4ZUbeKXB20TX7JKiMvusPjbr3UMqdCndIPvrHNdzdeXm+MWtAJKs2r4FYLW4zQY/JYGNtVvqJKmiihqJon0kj3FzzDI14fGCXHzWOA9GtL91vBHC7hjFvx+ezE2y31DqukDKudk0Mzi4ue2ZrxJzOL3bPN12d7WiLkqssp29HhkqLjBmN94aZzxKrbLdLhIYsKprlBS1dVJPTUtQ6qkgM0cTiWt5WMa4gDRLSTvZX7zVt14RXygtlry+/XyC/Y3eJarypcH1L4pqembJHVwuJ3ES5xbphDfOboAjavD7neOm4zV0lsZPUz2plklM8j5WyUTS5wic1xLXDb37JGzvqStLj3AnBsWZcW26x9ma+jdbpnzVc8zxTOGjDG6R7jGzr8VhaOg9QWWZt1TPSrPCJbvjuRcFq12S3u6uy+3TC7Q3OudPDI8UIqGvZGfNiIc0jzANg9dnquiVHouH9ghkxh7KDldjMZitJ7aT9jNMPYkfG8/wC9nl8/fr7+q3NfXR2+DtJOZxc4MjjYNvkeTprGj0uJ6AJETVOUdKWinQic/Oxu+F/P41lXf2XlJnLv8bxWDevm7vp2p2tBg9glx7HooakMFfO91VV9mdt7Z525oPpDejQfU0Lfq1dmJr2dWUd0ZPN3aorrmqBERQohERBX/Ern+EGLd/Y89TvX4/ZjX+HOsFSrPcfnv1ljdRta+40Mzayla46DntBa5m/RzMc9u/RzbPcodQ1sVxpI6iAkxv30c0tc0g6LXNPVrgQQQeoIIPUKS79KimqOrZ4zPz8JdzA1xNvR64cs8V8uv0V5yPMcTq8gZQ49e6W31VRV30x0DpBNDFNBFQCMiRnn6L3OaeZxLSQ3Sml1kvGH8cm3DLblkHkC8XOCksNTbbgRbonviDRSVVKO5znhxEmnbJaNt7lN7/4P+A5RcrlXXPH2VU1xd2lUzxqdkUknKG9r2TXhgl0B98DQ/wCdZjuC+Gvy9mTyWgzXpkzals01XPIwTNYGNl7JzzH2gaAA/l5uneq6fk688/Pw873Pvg+5Lda7JMXsF0dcLBjMNffJrZJBN2cd7rm10z3xyOa7fZxxyOIjcNPcx5OwwA9cKHTcJ8bZjFJZKS2shpqCuddaAPmmd4vWGV83ahweH/tkjyWhwBDi34p0sMWzihsbyXESPTrHqr/+5Yb0U1W4ynaoDxK44vhXEXO7Zkl6o7hac7rTDb4qstoZIzcWMkZJABqTna92y7ZHTRGlPq/J7tDinhHSm7VrJrU6q8nv8ZeHUYFqiezsjv7355Lhy66knvVp1HCzF6rHbxYpbXzWq71z7lW0/jEo7WofKJXP5ubmbt7QdNIHTWtdFr8r4G4Rm1yuNfebJ41UXGEQVoZVzwx1TQ3laZI2Pa17mg+a8guboaI0NZzaclVHR56VMBt3zCtzkVOWZHRR2fDrVcaSO33SWANqX01Q50ruU7cSYm7BPK7Z5gTojPw++3LErrwmvddk95uFPlWPVVdfI7jVunh52UkVSJIovixFpLhqMAEHuJ6q7aThrjlA+6vgt3I66UEFsrD28h7WmhY9kbOrummyPGxonfUnQX9i4b45D8G+W2tIxymfR2xrpZHCCF0Qicwgu08FjQ3z+Y9PX1RmLVUbc9v88FAcMr/ktDxO4eVjJ8gZi2Y09Y9keRX7x+apjbT9vFN2AYG0ztAHTHkafogaWPw9r79bMB4MZjLld/ud0vl3p7ZcYbhcHzU09PK2ZuuyPmhzeRhD9c5IPMTtXXYuAOB41c7dcbdYvF622y9rRTGsqHupfNc0si5pDyRkPcDG3TD6W9AttScLMXocfx6yQWvkteP1UdZbYPGJT2EzObkdzF3M7XO7o4kde5M2sWq+ufOz+UrWVw85vhnkut9l4nQ/k5+ap3+jyf4LX1lZDb6WSoqJBFDGNucf8gPST3ADqSpXw+sM9ptdTV1sfZXC5TGpmj7zE3lDY2flDGt36OYu9asWtlFdU9ez884n5fBFja4i3o9cpSiIo3CEREBQXin+2Yl/fB/U6lTpQXin+2Yl/fB/U6lb09FX4av+sq+J+oufhn4SwUWoyeC/VFvY3Ha63UFd2gLpbpRyVURj0dgMZLEQ7fL15tdD067EYbbOKIDubJMRJ15pGPVQ0d+n9ndem15aIz63zqKYmM84jv4HHrM7lw94O5XkNoa03OhonPgc5vMI3EhvaEekN5ubR6eaqvx7FeJeOTOuz7nILA61Vbq91Tlk13fUOMDnQzQNdSxCJweGnzHBvK4+b0Cti22PNaypNPk11xi7WKeN8VVRUtjnhfMxzCOXmfVSN1sjYLDsbHTe144rwMwnCpKt9nszqU1NK+heH1tRKGQPILoow+RwjadDozlHQepS01U0xktUXKLdE09M+z/HR+aocDq71j8HAq/Pya/XioyylbDdqa41754Z+e3PnaWxnzWOa+Mac0Akb5i4klRaWkuGb8L+H/Ee7ZPeK66XnLLVPLbRWEW6nabg1rYGU/xR2egOb45c07PUhdO0/DfHKWkxWlit3LBi4aLQzt5D4tywmEdebb/vbi3z+bv339VHX+Drw8dfDdhjwjrPH2XQCKsqGQtqmPD2ythbII2u5gCSG9eoOwStouU55+etNGJt56WW32RvnZ4x3LIRQF9s4ol7uTJcRDN9A7HqokD5/wBnI+2cUS9xZkuItZvoHY9VEgfOfHlBlG9R0I7UePBPlv8AhX/BjiP90Un+i1Ri3Mq47fTNr5YZ64RNE8tPGY43yaHMWMLnFrSd6BcSB6T3qT8K/wCDHEf7opP9Fq7WA+pue2n4VPS+hOi7+XzSlERXHphERAREQaTJcUpMljidI+WlrYObxespzqSLetjrsOadDbXAg6B1sAiGz4xllA4tbT267xggCaKd1M8j07jc1wH0PP0KzUUsXNmjVETH2/xtT279y1splVfkzK/ZyP7Qj9yeTMr9nI/tCP3K1EW2nR6uP1cU+u3VV+TMr9nI/tCP3J5Myv2cj+0I/crURNOj1cfq4mu3VXx2HLqp3K21UFED/G1VcXcv/tYw7/JsflUoxvB47PVCvrqp10uYBDJXMDIoAehETBvWx0LnFzupG9HSlCLE3NmVNMR7P5zlFcxFy5GVU7BERQqwiIgIiICimR4I25VklxtlV5MuUmjMSztIajQ0O0ZsedoAc7SHaAB5g0BStFvTVNE5w3pqqonSpnaq+SxZbTHldZ6GrI/jKav0D9D2DX/yfp715+TMr9nI/tCP3K1EW+nR6uPHit65dVX5Myv2cj+0I/cnkzK/ZyP7Qj9ytRFnTo9XH6uJrt1VfkzK/ZyP7Qj9yeTMr9nI/tCP3K1ETTo9XH6uJrt1VfkzK/ZyP7Qj9yeTMr9nI/tCP3K1ETTo9XH6uJrt1VfkzK/ZyP7Qj9y/bLJl1QQ1lloaYn8OquHQfQyNxP8Ah9HerRRY06PVx+ria5dRDHcCNFWRXC71ouVdGeaKKOPs6aA+trNkud6OZxPzBuypeiLSqua52qlVdVc51TmIiLRoIiICh/Eey3K709kltdKysmobh4y+F8oj2zsJo+hPTe5GqYItqatGejPpjvjJrVTFdM01dE7FXeIZX7OM+0I/cniGV+zjPtCP3K0UUXI4f1Ud9X7nM5rwnY8Z4qu8Qyv2cZ9oR+5PEMr9nGfaEfuVoonI4f1Ud9X7jmvCdjxniq7xDK/Zxn2hH7k8Qyv2cZ9oR+5Wiicjh/VR31fuOa8J2PGeKrvEMr9nGfaEfuTxDK/Zxn2hH7laKJyOH9VHfV+45rwnY8Z4qu8Qyv2cZ9oR+5TXBbTUWDCbBbKsNbVUVvgp5Qw7AeyNrXaPpGwVvEUlOhRTNNumIict/Vnvmd63YwtrDZ8lGWfyERFhaf/Z",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/many-tools.ipynb b/docs/docs/how-tos/many-tools.ipynb
index b01d88fd1..19e643296 100644
--- a/docs/docs/how-tos/many-tools.ipynb
+++ b/docs/docs/how-tos/many-tools.ipynb
@@ -248,7 +248,7 @@
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -358,7 +358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "id": "1954a5f1-91e4-4b32-9be9-c8bc1cc43cb5",
    "metadata": {},
    "outputs": [],
@@ -426,13 +426,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "id": "9110789a-843a-4c21-aeff-8841b24f7674",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/map-reduce.ipynb b/docs/docs/how-tos/map-reduce.ipynb
index e88fe61dc..51a2eb14d 100644
--- a/docs/docs/how-tos/map-reduce.ipynb
+++ b/docs/docs/how-tos/map-reduce.ipynb
@@ -99,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "id": "0f0f78e4-423d-4e2d-aa1a-01efaec4715f",
    "metadata": {},
    "outputs": [],
@@ -206,18 +206,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "37ed1f71-63db-416f-b715-4617b33d4b7f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/docs/docs/how-tos/memory/delete-messages.ipynb b/docs/docs/how-tos/memory/delete-messages.ipynb
index ca0807d74..30838954e 100644
--- a/docs/docs/how-tos/memory/delete-messages.ipynb
+++ b/docs/docs/how-tos/memory/delete-messages.ipynb
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "id": "378899a9-3b9a-4748-95b6-eb00e0828677",
    "metadata": {},
    "outputs": [],
@@ -176,7 +176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "id": "57b27553-21be-43e5-ac48-d1d0a3aa0dca",
    "metadata": {},
    "outputs": [
@@ -189,13 +189,13 @@
       "hi! I'm bob\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "It's nice to meet you, Bob! I'm Claude, an AI assistant created by Anthropic. How can I assist you today?\n",
+      "It's nice to meet you, Bob! I'm an AI assistant created by Anthropic. I'm here to help out with any questions or tasks you might have. Please let me know if there's anything I can assist you with.\n",
       "================================\u001b[1m Human Message \u001b[0m=================================\n",
       "\n",
       "what's my name?\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "Your name is Bob, as you introduced yourself at the beginning of our conversation.\n"
+      "You said your name is Bob.\n"
      ]
     }
    ],
@@ -225,20 +225,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "id": "8a850529-d038-48f7-b5a2-8d4d2923f83a",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[HumanMessage(content=\"hi! I'm bob\", id='bc1c6dd2-3bb9-4aa9-b7af-3c6af7e173ea'),\n",
-       " AIMessage(content=\"It's nice to meet you, Bob! I'm Claude, an AI assistant created by Anthropic. How can I assist you today?\", response_metadata={'id': 'msg_01XPSAenmSqK8rX2WgPZHfz7', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 12, 'output_tokens': 32}}, id='run-1c69af09-adb1-412d-9010-2456e5a555fb-0', usage_metadata={'input_tokens': 12, 'output_tokens': 32, 'total_tokens': 44}),\n",
-       " HumanMessage(content=\"what's my name?\", id='f3c71afe-8ce2-4ed0-991e-65021f03b0a5'),\n",
-       " AIMessage(content='Your name is Bob, as you introduced yourself at the beginning of our conversation.', response_metadata={'id': 'msg_01BPZdwsjuMAbC1YAkqawXaF', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 52, 'output_tokens': 19}}, id='run-b2eb9137-2f4e-446f-95f5-3d5f621a2cf8-0', usage_metadata={'input_tokens': 52, 'output_tokens': 19, 'total_tokens': 71})]"
+       "[HumanMessage(content=\"hi! I'm bob\", additional_kwargs={}, response_metadata={}, id='db576005-3a60-4b3b-8925-dc602ac1c571'),\n",
+       " AIMessage(content=\"It's nice to meet you, Bob! I'm an AI assistant created by Anthropic. I'm here to help out with any questions or tasks you might have. Please let me know if there's anything I can assist you with.\", additional_kwargs={}, response_metadata={'id': 'msg_01BKAnYxmoC6bQ9PpCuHk8ZT', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 12, 'output_tokens': 52}}, id='run-3a60c536-b207-4c56-98f3-03f94d49a9e4-0', usage_metadata={'input_tokens': 12, 'output_tokens': 52, 'total_tokens': 64}),\n",
+       " HumanMessage(content=\"what's my name?\", additional_kwargs={}, response_metadata={}, id='2088c465-400b-430b-ad80-fad47dc1f2d6'),\n",
+       " AIMessage(content='You said your name is Bob.', additional_kwargs={}, response_metadata={'id': 'msg_013UWTLTzwZi81vke8mMQ2KP', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 72, 'output_tokens': 10}}, id='run-3a6883be-0c52-4938-af98-e9e7476659eb-0', usage_metadata={'input_tokens': 72, 'output_tokens': 10, 'total_tokens': 82})]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -258,26 +258,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 10,
    "id": "df1a0970-7e64-4170-beef-2855d10eef42",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: The class `RemoveMessage` is in beta. It is actively being worked on, so the API may change.\n",
-      "  warn_beta(\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
        "{'configurable': {'thread_id': '2',\n",
-       "  'thread_ts': '1ef42d00-d9ad-6f24-8005-feb089654def'}}"
+       "  'checkpoint_ns': '',\n",
+       "  'checkpoint_id': '1ef75157-f251-6a2a-8005-82a86a6593a0'}}"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/docs/docs/how-tos/pass-config-to-tools.ipynb b/docs/docs/how-tos/pass-config-to-tools.ipynb
index 146e86132..e8b919357 100644
--- a/docs/docs/how-tos/pass-config-to-tools.ipynb
+++ b/docs/docs/how-tos/pass-config-to-tools.ipynb
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -126,7 +126,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -143,7 +143,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -174,7 +174,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -215,12 +215,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/pass-run-time-values-to-tools.ipynb b/docs/docs/how-tos/pass-run-time-values-to-tools.ipynb
index 401cb8787..78eb0008c 100644
--- a/docs/docs/how-tos/pass-run-time-values-to-tools.ipynb
+++ b/docs/docs/how-tos/pass-run-time-values-to-tools.ipynb
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "id": "1d36e782-80f4-4334-b7d7-ee4c79864480",
    "metadata": {},
    "outputs": [],
@@ -184,24 +184,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 3,
    "id": "1092929b-c939-4b2a-9f9c-e725b0e34af2",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'title': 'cite_context_sourcesSchema',\n",
-       " 'description': 'Cite which source a claim was based on.',\n",
-       " 'type': 'object',\n",
-       " 'properties': {'claim': {'title': 'Claim',\n",
-       "   'description': 'The claim that was made.',\n",
+       "{'description': 'Cite which source a claim was based on.',\n",
+       " 'properties': {'claim': {'description': 'The claim that was made.',\n",
+       "   'title': 'Claim',\n",
        "   'type': 'string'},\n",
        "  'state': {'title': 'State', 'type': 'object'}},\n",
-       " 'required': ['claim', 'state']}"
+       " 'required': ['claim', 'state'],\n",
+       " 'title': 'cite_context_sources',\n",
+       " 'type': 'object'}"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -265,7 +265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 4,
    "id": "ea793afa-2eab-4901-910d-6eed90cd6564",
    "metadata": {},
    "outputs": [],
@@ -309,7 +309,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 5,
    "id": "3b541bb9-900c-40d0-964d-7b5dfee30667",
    "metadata": {},
    "outputs": [],
@@ -361,7 +361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 6,
    "id": "813ae66c-3b58-4283-a02a-36da72a2ab90",
    "metadata": {},
    "outputs": [],
@@ -412,13 +412,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 7,
    "id": "a8afd6ef",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/persistence.ipynb b/docs/docs/how-tos/persistence.ipynb
index 148f59384..2f928fc24 100644
--- a/docs/docs/how-tos/persistence.ipynb
+++ b/docs/docs/how-tos/persistence.ipynb
@@ -117,7 +117,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 37,
+      "execution_count": 1,
       "id": "14619607",
       "metadata": {},
       "outputs": [],
@@ -152,7 +152,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 24,
+      "execution_count": 2,
       "id": "d7ef57dd-5d6e-4ad3-9377-a92201c1310e",
       "metadata": {},
       "outputs": [],
@@ -181,7 +181,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 25,
+      "execution_count": 3,
       "id": "5cf3331e-ccb3-41c8-aeb9-a840a94d41e7",
       "metadata": {},
       "outputs": [],
@@ -215,7 +215,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 26,
+      "execution_count": 4,
       "id": "892b54b9-75f0-4804-9ed0-88b5e5532989",
       "metadata": {},
       "outputs": [],
@@ -239,7 +239,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 27,
+      "execution_count": 5,
       "id": "cd3cbae5-d92c-4559-a4aa-44721b80d107",
       "metadata": {},
       "outputs": [],
@@ -276,7 +276,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 28,
+      "execution_count": 6,
       "id": "3b541bb9-900c-40d0-964d-7b5dfee30667",
       "metadata": {},
       "outputs": [],
@@ -314,7 +314,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 29,
+      "execution_count": 7,
       "id": "812b4e70-4956-4415-8880-db48b3dcbad2",
       "metadata": {},
       "outputs": [],
@@ -358,7 +358,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 30,
+      "execution_count": 8,
       "id": "6845ed6a-d155-4105-9160-28849877248b",
       "metadata": {},
       "outputs": [],
@@ -370,7 +370,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 31,
+      "execution_count": 9,
       "id": "79d29875-8aa8-434c-9f20-1c58346a6249",
       "metadata": {},
       "outputs": [],
@@ -396,13 +396,13 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 32,
+      "execution_count": 10,
       "id": "0d49697f",
       "metadata": {},
       "outputs": [
         {
           "data": {
-            "image/jpeg": 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",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
@@ -575,7 +575,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.12.2"
+      "version": "3.11.9"
     }
   },
   "nbformat": 4,
diff --git a/docs/docs/how-tos/persistence_postgres.ipynb b/docs/docs/how-tos/persistence_postgres.ipynb
index e499d6ae1..32ecc92ae 100644
--- a/docs/docs/how-tos/persistence_postgres.ipynb
+++ b/docs/docs/how-tos/persistence_postgres.ipynb
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "id": "e5213193-5a7d-43e7-aeba-fe732bb1cd7a",
    "metadata": {},
    "outputs": [],
@@ -124,7 +124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "2b9d13b1-9d72-48a0-b63a-adc062c06c29",
    "metadata": {},
    "outputs": [],
@@ -134,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "3fe36f67-073a-4fd7-a8f8-da196dd46a0d",
    "metadata": {},
    "outputs": [],
@@ -159,7 +159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "id": "bd235fc7-1e5c-4db6-a90b-ea75462ccf7d",
    "metadata": {},
    "outputs": [],
@@ -376,19 +376,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 5,
    "id": "4faf6087-73cc-4957-9a4f-f3509a32a740",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/vadymbarda/.virtualenvs/langgraph-postgres/lib/python3.11/site-packages/psycopg_pool/pool_async.py:138: RuntimeWarning: opening the async pool AsyncConnectionPool in the constructor is deprecated and will not be supported anymore in a future release. Please use `await pool.open()`, or use the pool as context manager using: `async with AsyncConnectionPool(...) as pool: `...\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from psycopg_pool import AsyncConnectionPool\n",
     "\n",
@@ -401,7 +392,7 @@
     "    checkpointer = AsyncPostgresSaver(pool)\n",
     "\n",
     "    # NOTE: you need to call .setup() the first time you're using your checkpointer\n",
-    "    # await checkpointer.setup()\n",
+    "    await checkpointer.setup()\n",
     "\n",
     "    graph = create_react_agent(model, tools=tools, checkpointer=checkpointer)\n",
     "    config = {\"configurable\": {\"thread_id\": \"4\"}}\n",
diff --git a/docs/docs/how-tos/react-agent-from-scratch.ipynb b/docs/docs/how-tos/react-agent-from-scratch.ipynb
index 4fa8e7c9a..e815facd4 100644
--- a/docs/docs/how-tos/react-agent-from-scratch.ipynb
+++ b/docs/docs/how-tos/react-agent-from-scratch.ipynb
@@ -200,7 +200,7 @@
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/recursion-limit.ipynb b/docs/docs/how-tos/recursion-limit.ipynb
index e48a356e1..19c9956b0 100644
--- a/docs/docs/how-tos/recursion-limit.ipynb
+++ b/docs/docs/how-tos/recursion-limit.ipynb
@@ -91,7 +91,7 @@
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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Z1QagOvW3GmgkaTT2Cx9dtBB3eWq5nxtd4CWspJm+QSnwoCxaM0pT6M09TWyCaSrkZmSprZ8crVzuO9LPJgAb73kuOAAM4AAAAnERAEREAREQBERAFW9eaUfquytbSTtor1QyittVcRnraqa1zWuPSWOa98bwPhRySNyN5WREBAaG1ZHrXTFJdBTuoqhxfDV0T3hz6WpjcY5oXEcCWSNc3I4HGRwKn1QNK/zLtc1raWZFLX01DfY24O6JniSmmA6BwpYXEDHF7jzuJN/QBERAERQt41tp7T9UKa53y3W+pI3uRqapjH48O6TnCvGEpu0Vdk2uSdbW09to56urnipaSnjdLNPM8MZGxoy5znHgAACSTzYWO6X2r6IuG3nUwpdY2GpdXWSy0lKIrpA/riYVNy97jw87z/fGdyBnu28+Ri+z7S9E1UEkE+pLLNDI0sfHJVxOa5pGCCCeII6F/PjZB1NGnNI9WXXV9Vebc3QOn5xebTWPq2cnO8uDqeFrs8XRO4u80ObeC19nrfA+5k7r4H9M0VW91LR3xptHpsftUpZdVWXUZkFqu1FcnR/DbSVDJCzwZAJx86rKjVgryi0uhFmSqIixICIiAIiIAiib1qyyacfGy63ehtr5BljKqoZG5w8IBOSoz3UtHfGm0emx+1bRo1Zq8YtroTZmbQ7Ztn425VdZ29ab60dpyGEVHZen5MvFTKd3e38b2DnHPgrcl/Me39S7paHq05Jn3O1e5lDKL/HMamPkHd1kUeckEiXgW8/JjPSv6H+6lo7402j02P2q3s9b4H3MndfAtKKLsuqLNqPlOxV1orkY8b4pahshZnmyATj51KLGUZQdpKzKnSvVY632euqmAF8EEkrQfC1pI/wVR0lSR01gopAN6epiZPPM7i+aRzQXPcTxJJPzc3MFZ9Vd7F4+RzeoVXtNd7lq+SReoF7qGFJ9SdCSREVyAoDWLhQUMN2iAZW0VRC6KZvB266VjXsz0tc0kEHhzHGQFPqva/71anzsH3zFrRxqRXMtHNGiIiLjlQiIgCIiAzvRRbXWnstKN+ur3vlmmdxc7u3Brc/mtAAA5hhWFV3Z53m239l3ruViXZrdpJc2S8wiIsSCA1c4W+lprtEAyto6mDk5m/C3HTMa9hPS1zSQQeHMcZAWhLO9e97Mvyim/wAxGtEWe0dnB835E6EXqrvYvHyOb1Cq9prvctXySL1ArDqrvYvHyOb1Cq9prvctXySL1ArUexfXyGhJLy5sJ28ansmzDZxPrLT1ZU2G8vjtrdWy3YVU7qmWRzYnVERG81jnYaH77scMgZXqNebNHbAtoMWjND6E1JcNNs0jp6rpq+ontjqh9ZWvgl5ZkO69jWMZymMvyS4N4NbnAiV74EHpNV7X/erU+dg++YrCq9r/AL1anzsH3zF6aPax6otHNGiIiLjFQiIgCIiAzrZ53m239l3ruViVd2ed5tt/Zd67lYl2a/ay6v8Asl5syiw7Y9Qa21DVDS+iTdNJ0lzfa579UXWOmc98cnJzSQwFhMkbHBwyXNLt07oK1dYxonZ7tE2X3Gqsmn6rTVdome7S3GKS5GoZXUkU8xlmgaxjSyTBe/ceXNxkZBxhbOvOr6kFe173sy/KKb/MRrRFneve9mX5RTf5iNaIq7R2UOr+UnQi9Vd7F4+RzeoVXtNd7lq+SReoFabzRuuNorqRhAfPBJECeguaR/8AqqGkqyOosNHCDuVNNCyCogdwfDI1oDmOB4gg/SMEcCFNDGk1zGhMIiK5AVe1/wB6tT52D75isKgNXhtxo4bRC4PrqyeERwtOXbjZWOe8gczWtBJJ4cwzkha0cKkXzLRzRoSIi45UIiIAiIgM62ed5tt/Zd67lYlXtF7tBa+xErgyvoHvjmgdwcBvuLX46WuBBBHDjz8CrCuzWxqSfMl5hERYkFe173sy/KKb/MRrRFnurQ2401NaIXCSuq6mAshacuDGzMc+QgczWtBJJ4ZwM5cFoSz2js4Lm/InQKFvGitP6hqBUXSx224zgbolqqSOR4Hgy4E4U0i8UZyg7xdmRkVb3K9GfFOyf3fF/pVHs2zrS0m2vVtG/T9qfRQ2CzyxUjqOIxxPfUXIPe1uOBcGMBOBnk28TjhsKz+3SOg2+6hYXdzU6ZtrmNyeeKqrt445v+s3m4+HoW3tFb433sm74kv7lejPinZP7vi/0qVsul7NpwSC02mitnKY3+tKdkW94M7oGVKIqyrVZq0pNrqLsIiLEgIiIAiIgIq9aVsupDGbtaKG5mMYYaymZKWjybwOFF+5Xoz4p2T+74v9KtKLaNarBWjJpdSbsx2HZ3pc7cKuhOnrUaFunYZhSdZxcmJDUygv3cfCIAGccw51efcr0Z8U7J/d8X+lQ9uJn2/agw4FtLpm2gt48DLVV3zf9Lo4+HoWgq3tFb433sXfEjLNpmz6cbILVaqK2iTG/wBaU7It7HNndAypNEWMpOTvJ3ZAREVQFn2oWG07atH3Es94udtr7O9+DnlgYamEeDG5DVc/kx050FVPabpaq1TpZ7LY5kd8oJ4rlbJJDhoqYXB7GuPQ14Do3H8yRyAtiKH0lqij1np2ivFCJGQVDXB0Mzd2WCRriySKRv5L2Pa5jm9DmkdCmEAREQBERAEREARFXdeasGjdOy1scBrLhNIykt9E091VVUjgyKMeAFxy53M1ge44DSQBAbPW9k9f7Rb2ADGa+ntEDxnu46ana53P4JqidvD80rQVXdnuku0fRtssz5+vKqFjpKurIwamqkcZKiYjwySvkefK5WJAEREAREQBERAUC+xSbNr5V6mpY5JdOVxD73SR8etXgY6+jbjiMYErRzta2Qd014kvcE8dVBHNDIyWGRoeyRjg5rmkZBBHOCFyLOXzwbF6iV9TMym2fzv3mySEMjsMhzvBziQG0jzjGf6lxIzyTmiEDRkVC2NbbdMbeNN11+0nNUT2yluE1vMtTFyRkdHg8o1pOdxzXNc3eAdg8QDkK+oAiIgCIqHtR236P2NVOmotXXVtpjv9caCmqJR71E7cLi+V35EYO40vPBpkaThoc5oFyut0o7HbKu43CqioqCkifPUVM7wyOKNoLnPc48AAAST5FUdL2ys1XfotX3mmmoo4o3xWW1VILX0sT/hVErD8GeQADB4xsyzuXPlB6trA2s11Fe5TvaMpZGVVrpyAW3SVpDo61/hiaQHQt5i4CXjiIt0JAEREAREQBERAEREAWSdUh1PVN1RejmWGq1PedOxR7xLLdN/JqglzHN64hyBMGuja5oJG6ckcVraIDyB1LWwfXPUw3fU+j5btbrjar1ydworlFvuMAjJZKTCQAHuD4gMuxwz3W6Wn0EbRfXHPbndm+RtNRY+2nK577+Mi3/umf76JSa6sLU4Rslir4pPV8S2RCdh778dLx6NQ/wC3TsPffjpePRqH/bqbRW9Z/Ff6x+hFyFFpvzTkazurj0B9NRFvz4gB+1eaeqS6mvW/VY7R7Lb57zbbHp7TNJuVFZuve+eaZxc58cPQdxkYILsAh2CcL1go7R/fpqnzVH6sipUtOnJtLBaJLVLTqTmmRewDYnRdT/s6p9I2+9XO90sUz5xNcpA7k3PA3mRNHCOPeBduDPdPecklaQiLllQiIgCIiAIiIAiIgCIiApN9/GRb/wB0z/fRKTUZffxkW/8AdM/30Sk11fyQ6ebJegVb0jry36zuGpqOihqYpbBczaqo1DWhr5RFHLvMw45buytGTg5B4dJyvqhext42kbMNNasqhT6Fukle+uhmmMNNWVcUUZpYJn5HcnelcGE4c5gGDjC/epWtlms1TtXodPCBtmg1hKymbTS8pG1oo6XLWuyeAORjPDGOGMLK+NiDd1HaP79NU+ao/VkUio7R/fpqnzVH6si0fZVOnzIssmXRERcsqEREAREQBERAEREAREQFJvv4yLf+6Z/volJqMvwxtHtx8NpqMeX36H2j6QpNdX8kOnmyXoRuoNNWfVttdbr5aqG8297g51JcKdk8RI5iWPBGR+pfOn9K2XSdPNT2Oz0FmgmfyskVvpmQNe/da3ecGAAnda1uT0NA6FKIqEBR2j+/TVPmqP1ZFIqO0eP6Z6oPRydGPn3ZPaPpVn2VTp8yLLJl0REXLKhERAEREAREQBERAEREBDah092a63ngqDRXGlJ5CpDd8AOxvMe3I3mOwMjI5gQQQCoI2DV45rnZD5esJhn5uWV2ReiFecFurLmkybmX62m1dozRl/1A6rstW202+orzTto5mmURRufug8qcZ3cZx0qUo7Tq+rpIJxcbI0Ssa/d6ymOMjP8AbLm24ODNi2v3EbwGn7gSOHH+TSeEEfSFarN+CKHzDPVC09qqcF3IXKqNP6vccG62RgP5Qt8zseXHLDP0hWHT1gjsNNKOWfVVdQ/lamqkGHSvwBzDg1oAADRzAdJyTKos5151FuvLkkhcIiLzkBERAEREAREQBERAEREAREQFJ23uLdi+v3B/JkafuB3wSN3+TSceHFWqzfgih8xH6oVV24SGLYrr94GS3T9wOMkf9tJ4OKtVm/BFD5hnqhAdxERAEREAREQBERAEREAREQBERAEREBSduOBsV2gbwaW9r9wyHZx/y0nPjj9CtVm/BFD5iP1Qsh6q7bPpDZZsvvVs1LeXWmv1FaLhSWpopZ5eWmEG7u70bHBhzKzi4jn8hxZtiu2rR22nTj6vRt1ku9Lb+TpqmZ1FUU7Gybmd0GWNm8QOfdzjIzzhAaIiIgCIiAIiIAiIgCIiAIi4a2sgt1HPV1MrYKaCN0ssrzhrGNGST5AAVKV8ED8rq6mtlJLVVlRFSUsTd6Sed4Yxg8JceACodft003TSFtLHcboAcF9JSEMz5HSboP6xkeVZjqzVlVru4irqg6KgjcTR0Lid2Nue5ke3mMhHT+TndH5RdFL6/ZvQsN1S2hu/BaC6RrHu+2fxLe/qYf4qe77Z/Et7+ph/irJ0Xu9z7JwfeN7kdPqr+wfVE7I63TsFnulPfIJG1lrqqiGIMjnbww4iQkNc0uacDpBwcKd6nm+ac2E7JLFpGmst3kqKaLla6ojgixPUv4yvzygJGeAyM7rWqORPc+ycH3je5Gse77Z/Et7+ph/ip7vtn8S3v6mH+KsnRPc+ycH3je5GzW/bhpirlDKqSrtOTgPrqZzY/ne3LWjyuICvkE8dVDHNDIyaGRocySNwc1wPMQRzheXVO6H1pJoCtBLv5hlfmqp+OIc88sY6Mc7gOcZPPz8/avQsVBy2du60evQKzPRKL8a4PaHNIc0jII5iv1fIgIiIAiIgCoG3CsdT6DkgaS0VlVBTuLTg7peHOHzhpB8hKv6p+1mxzX7QtfHSxmWqpjHVxRgZLzG8OLQBzktDgPKQvZsUox2mm55XX9krMwlF8wzMqImSxuD43tDmuHMQeIKrV31jcLZcZqWHR19ucUeMVdG6k5KTIB7nlKhruGccWjiD0cV+lSko5lCzrL9pu1at0zqui03aI4mV0lGbhPVVFuq65kcW+WMaIqZpcS5wdxJaAG9JICnfdAuv/h/qb/5UH+6UZdNIXLV94oNXWmprdEaigp30Ekdxpoaps9OX7wbJGyUt4O7ppa8EZOedeWrOU42pXv00/wCbf2CAodrerL47SdBS2mjttzu1VXUk0lzpqmOIcgwPbPHG7ckLHN4hrgDk4yMEnlZtgvxtHY1tvt9RrF+oJdPRBpeyjc9jOVdUEEl4YIiCW5Jzwz0q3doVbVXrR91uN8NfW2HroyyOpWx9dmaMs5mkBgb0DBzj51CXDYqamK5TUt9kobtJqB2oaGujpg7rSR0TIjG5hdiRpa1wPFud7oxxwcNoSum/DKy8b3/8B09lDby3aptHbfn0MlxEdsDpLcx7IXDkpcENeSQcc4yf1rWVm1m07etnt4vl/rX1utrhezTRyx2ujgpeQELHgHEk4Bad7wkg+Holxr+6EH+gGphgdLqDj/8AaW9F+rhuyTvd8823pcFyRzQ5paQCCMEHpVcsWrK68V4p6jSd6s8ZaXdc1xpTGCOj3ud7sn9SnqqobSU8kzgXBgzutGS49AA6SeYDpXqjJSxQN62QV8lw2b2R8pLnwxOpd4nJIie6IEnpOGDiriq9s+sEml9F2i2zgNqYYA6cNOQJXEvkAPSN5zlYV+ZbTKMq85Qybduly7zCIi8xAREQBERAYxr7ZXV2yrnuen6Z1ZQykyTW2LHKQuPFzoskBzDz7nODndyCGtzWS7UcEzoZ6hlNOw4dDUHkpGnytdgj6F6xXBVUNNXN3amniqG+CVgcPtX0ezemp0oKFWO9bW9n53JweZ5V7L0P6bT/AFrfanZeh/Taf61vtXp/tatHiqi9HZ7E7WrR4qovR2exe737T/bff9iLI8wdl6H9Np/rW+1Oy9D+m0/1rfavT/a1aPFVF6Oz2J2tWjxVRejs9ie/af7b7/sLI8wdl6H9Np/rW+1Oy9D+m0/1rfavT/a1aPFVF6Oz2J2tWjxVRejs9ie/af7b7/sLI8xQ3Knq52wUjzXVLshtPRtM0jv1NZkrV9nOy6pjrILzqCEQPhcJKS3bwcWO6JJccN4c7WgkDg4kuwGalT0kFGzcghjgb+bGwNH2LmXP2v0xUrwdOnHdTzxu/InBZBERfPEBERAf/9k=",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/state-context-key.ipynb b/docs/docs/how-tos/state-context-key.ipynb
index 9cca2dab1..a5262c1ca 100644
--- a/docs/docs/how-tos/state-context-key.ipynb
+++ b/docs/docs/how-tos/state-context-key.ipynb
@@ -204,7 +204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "id": "dec610e7-728f-4a71-93e3-1c7d1a8d05bb",
    "metadata": {},
    "outputs": [],
@@ -255,7 +255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 6,
    "id": "ea793afa-2eab-4901-910d-6eed90cd6564",
    "metadata": {},
    "outputs": [],
@@ -305,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 7,
    "id": "3b541bb9-900c-40d0-964d-7b5dfee30667",
    "metadata": {},
    "outputs": [],
@@ -346,7 +346,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 8,
    "id": "813ae66c-3b58-4283-a02a-36da72a2ab90",
    "metadata": {},
    "outputs": [],
@@ -397,13 +397,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 9,
    "id": "e09aaa63",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/streaming-content.ipynb b/docs/docs/how-tos/streaming-content.ipynb
index 0dae42642..84f60a19f 100644
--- a/docs/docs/how-tos/streaming-content.ipynb
+++ b/docs/docs/how-tos/streaming-content.ipynb
@@ -139,14 +139,6 @@
      "text": [
       "{'chunk': 'Four'}|{'chunk': 'score'}|{'chunk': 'and'}|{'chunk': 'seven'}|{'chunk': 'years'}|{'chunk': 'ago'}|{'chunk': 'our'}|{'chunk': 'fathers'}|{'chunk': '...'}|"
      ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
-      "  warn_beta(\n"
-     ]
     }
    ],
    "source": [
diff --git a/docs/docs/how-tos/streaming-events-from-within-tools-without-langchain.ipynb b/docs/docs/how-tos/streaming-events-from-within-tools-without-langchain.ipynb
index 5d1d0592e..b9743b2b4 100644
--- a/docs/docs/how-tos/streaming-events-from-within-tools-without-langchain.ipynb
+++ b/docs/docs/how-tos/streaming-events-from-within-tools-without-langchain.ipynb
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "id": "d59234f9-173e-469d-a725-c13e0979663e",
    "metadata": {},
    "outputs": [],
@@ -190,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "b90941d8-afe4-42ec-9262-9c3b87c3b1ec",
    "metadata": {},
    "outputs": [],
@@ -261,7 +261,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "228260be-1f9a-4195-80e0-9604f8a5dba6",
    "metadata": {},
    "outputs": [],
@@ -303,18 +303,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "id": "45c96a79-4147-42e3-89fd-d942b2b49f6c",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
-      "  warn_beta(\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
diff --git a/docs/docs/how-tos/streaming-events-from-within-tools.ipynb b/docs/docs/how-tos/streaming-events-from-within-tools.ipynb
index 1db7d2a37..b175e5c28 100644
--- a/docs/docs/how-tos/streaming-events-from-within-tools.ipynb
+++ b/docs/docs/how-tos/streaming-events-from-within-tools.ipynb
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "id": "083757a9-26d7-481e-8f3d-3e34bcba154b",
    "metadata": {},
    "outputs": [],
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "2cb38dd9-74d8-456d-9e39-4655f2bf3f37",
    "metadata": {},
    "outputs": [],
@@ -157,7 +157,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "7254310e-7016-45f7-9795-6d52a1160086",
    "metadata": {},
    "outputs": [],
@@ -177,27 +177,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "id": "31fe94ab-80de-4729-843e-5a0fe1bb52c0",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.12/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
-      "  warn_beta(\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1. Books - A collection of written or printed works bound together with covers. They can be fiction or non-fiction and come in various genres.\n",
+      "1. Books: A shelf is typically used to store books. These can be novels, textbooks, or reference books, and they come in various sizes and genres.\n",
       "\n",
-      "2. Picture frames - A decorative border for a photograph or artwork, typically made of wood, metal, or plastic. Picture frames are used to display and protect a picture or painting.\n",
+      "2. Picture frames: Picture frames are commonly placed on shelves to display photographs or artwork. They can be made of wood, metal, or plastic and come in different shapes and sizes.\n",
       "\n",
-      "3. Candles - A cylinder of wax with a central wick that is lit to produce light or fragrance. Candles are often used for decoration, ambiance, or religious ceremonies."
+      "3. Decorative items: Shelves often display decorative items such as vases, figurines, or candles. These items can add a personal touch to a room and enhance its aesthetic appeal."
      ]
     }
    ],
diff --git a/docs/docs/how-tos/streaming-from-final-node.ipynb b/docs/docs/how-tos/streaming-from-final-node.ipynb
index 5e9cb857f..8d3b881d7 100644
--- a/docs/docs/how-tos/streaming-from-final-node.ipynb
+++ b/docs/docs/how-tos/streaming-from-final-node.ipynb
@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "id": "5e62618d-0e0c-483c-acd3-40a26e61894a",
    "metadata": {},
    "outputs": [],
@@ -120,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "8c7339d2-1835-4b5a-a99c-a60e150280af",
    "metadata": {},
    "outputs": [],
@@ -183,13 +183,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "2ab6d079-ba06-48ba-abe5-e72df24407af",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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mt69FtvPOt7WZ78SW/wBUh1pVDXE4zOAAEkuwtpo6e+Y9lepr15spmyzMD9MfJfcmt/nTKbKr+Cet8FxYiyustP5GK9Qe8YpjGfRxGBzy7xg7WucZAQ3r6AY764gWguLKZicTR3RHkSIiLlQREQEREBERAREQEREBEWNkslVw2OtX707KtKrE+eeeU7MjjaC5zie4AAn+pBkqoMnra1x209ag4Ra4p4uXF51lHK5Z9B0+0cez5o4OcBj3Hdo5urSObY9hXuxecyHHMaE1lofV8+H0PFZnsXarsYWT5ZrSY2M5pR6MRIeSQ3cgtIIIBFoUcdUxcLoadWGpE6R8ro4Iwxpe9xc9xA73OJJPaSSSg/KuLp0bFuxXqQQWLbxJZlija187w0NDnkDdxDWtG57gB3LKREHFf7ptxz8y+G1Ph/jLHi8tqX55c5Ds6Oix3UeseMeA31FrJAe1a/8AcweOvnPojI8NspYDsjgd7eN53elJTe/02jvPi5HdvqlaB0apZ4XHgZaO4iV9dcUMrnNSDO08LNar04bUApxmtWJYwMdCXBhLOZwD+pe4gjfpg+Bv4G+jtG4vh7xZoZnUR1Daw8dyWnLah8ic6xWIe0sEIeWjxhLQX9C1pJOyDsZERBAOI/DnL6hxFGHRmp5NA34MqzJTWKFOKSO31PjWTRkDn5w4ncnq4AnfZZOneKlLUPEnUuivYjMUMjhIobBt26bmVLcMgGz4Zex2zuZux23LHbb7HabLUau0tR1vpfKYDJiY47JV31bArzOhkLHDY7PaQR0P/wBCDboq0oP1FwyyOhNHYzBZTV2mX131Lup7uSZJbqSMbvG+drgC9rgHAuB7eUAb7A2Dj8nTy1cz0bcF2Bsj4jJXkbI0PY4te3cHbdrgQR3EEFBlIiICIiAiIgIiICIiCNcRuIeC4U6LymqtSXPIcPjow+aUNL3Elwa1rWjqXOc5rQPWe5R/CYjM6y1thddxaoyVPR8+EaINJTURBzyzem6WxzelzBvIAzYFpDuuxcHSrW785Ho3Ov0zFXn1E2jM7GxWxvDJZDD4pr/Sb6JdsD1HamiJs3Z0bg5dS14qmonUYTkoIHB0bLPIPGhpBILefm22PYg29evFTrxQQRMggiaGRxRtDWsaBsAAOgAHcvYiICIvRevVsXSsXLliKpUrxulmnmeGMjY0buc5x6AAAkkoIN4QliKrwF4jyTSMij83MiOZ7g0bmtIANz6yQP61heDH08HPhj8G8f8Am7FUFWG94bOq2XbUc9HgRhrW9au8GN+qrUbv9Y8dCKrHDoD9ER167iPqiCCKrBHDDGyGGNoYyONoa1rQNgAB2ADuQexERAREQFVOZ4bX+F+lcxJwZwOAx2byOUZk7lHImWOta7BK1nKdonOa0bbDlB3O253VrIgj2J15g8xqrKaXgyVeXUmJghnyGOicXOrtlG7CSQAQR19exBIG4UhVbacytGfjrrChHot+OvQY6m+XVRi2bkWuB5YQ7lG/i/VzHt7ArJQEREBERAREQEReL5GRjd7g0fZHZBUnhDeEvp7wasZh8jqXC5/JUMnLJAyzhqscscMjQ1wZK6SRga54Li0DckRv/irhbRP7oTqLS2Ng0ToDTjsvZtZ2Y0Mnq+8+1LJBPM4xxGKPkLHbvZ18a8D0h6W4I+jnEjQmnOK+i8ppbUcMV3FZCIxyNLhzRu+tkYT9C9p2IPcQvmhwj8FDM8MfDi0ppjNR+V4WjafmqeWa351ZrwNdJE/t6O8Y2Nrmk7tJ7wQTbSPqyi9XlUP8tH/aCeVQ/wAtH/aCWkeckjIY3ySPayNgLnOcdgAO0krljK3L3hqarmw2MnnpcDcNZ5MlkYHGN+p7LDv4iJw6+TMI9J4+iPZ3Fvt1rqHKeFvrK/w+0lemxvC7FS+J1RqWs7lflHjtoVHd7P5SQdNjt2ECTpLTmnMZpHBUMLhqUONxVGFsFarA3lZGwDYAfL2ntKgycZjKmFx1WhQrRUqNWJsMFaBgZHExo2a1rR0AAAAAWSiICIiAiIgKtPCI4tZPgdwvv6yx2mfOtmPkjNukLpqujgceUyhwjk5uVxZuNh0LjuOXrY3lUP8AKs/tBYWbx+M1Hhr+JyTYbePvQSVbMEjgWyRvaWuafeIJCtpHziofurmeg1hlMhZ0Oy1gJ4Io6eGGVax1WRv0chnFbmk5unokDb319FtF5y1qfR2CzN7Gvw13I0ILc+NlfzvqSSRte6Iu2G5YSW77DfbsHYvl7wV8DaxH4ZN/SGaj8q0rpWcZWazO353crbh1VhO3KTIS3mb2bMlH1q+q3lUP8tH/AGglpHtRettiJ5AbIwk9wcF7FAREQEREGLlLvsbjLdvl5vEQvl5fXytJ/wCCrzF6SxWex1TJZnH1MxkrULJprN6Bszt3AEtbzD0WDsDRsNh69ypzqr+DGY/oc3+AqPaa/g5iv6JF/gC9LJ5mjDmqmbTdlqhhfM+0t7msP8Qi/RT5n2lvc1h/iEX6KgvCvwisFxJGqTJFZwzMHcuMfNdp2YYPJYHhvjnzSxMYxx35jETzsG+46EqQaI426K4i356WBzYtW4q/lZhnrTVnPg328dH41jfGR7kDnZu3qOvULbGPiT/OeKXna3XzPtLe5rD/ABCL9FPmfaW9zWH+IRforQaS48aE11n2YbCagju35WyPrtNeaKO02P6MwSvYGTBveY3O6dexRrQ/hD4t/B7SertbW6+LvZwyRx1sdVnmMsjXyDaKFgkkOzWbnt27TsnaMT654l52rDHD/TLG/OsDjqr992y1azIZGHr6TXsAc09T1BBCkWhMpYymAJtSmxYrWbFN0x23kEUrmNcdgBzFrQTsAN99uiwMJmaeo8PSyuOm8ooXYWWIJuUt543DdrtnAEbgjtC8uGf7yZD7rXvzh6wxqpxMGZqm9pj1W940pciIvLYiIiAoPqoNz+qm4O388xkFJtuWrv6Fhz3uY0SD65rRG48vYSdyDsNpwoNe+mdd+49b/OnXZkvzTV3xDKGMeH+l3Ek6bxBJ6kmjF+inzPtLe5rD/EIv0VAvCF44Hg/j8BWpRtfmc7fbTry2Mfat14GbF0kr212lzyANhE0hzt9x0a4j2QcaK+G1TnsfqHM4yOrpzTsOUzHicZehmjlJJkmj5muY+vy7bBjnvDg4HsXX2jEvbOnil52pz8z7S3uaw/xCL9FPmfaW9zWH+IRforU6U4zaO1tl7GMw2YFq7DWN3xb600Qmr78vjoXPY1s0e5A54y5vUdeoWNo3jroniHkrGN09mxcyMdd1pteepPXMsQIBkj8axvjGbkDmZuOo69U6/E+ueJedrfHh7pYjbzaxH9VGIf8AxW20NakguZjDOlfNXx74jXMri5zI3s3DC49SAQ7bfc7EDfoojwP1zf4l8JNK6pycVeDIZWiyzPHUa5sTXHtDQ5ziB9slSfRv8MdVfzan+B6lddWJhV503tETzhb3ibpoiIvJYiIiDV6q/gxmP6HN/gKj2mv4OYr+iRf4ApJqOF9jT2UijaXSPqyta0d5LCAo1pd7ZNNYlzTu11SEg+scgXoYP7M+Povc5mymk9RZjh9xq4axafy8Gby+XymWx1x9R7cfchllbNGwWfoA543jLSQQd99gthq7H5vwgdU4n2E0xnNH1sVpvM0rFzO0XUeWe5WbDFXiB6yBjhzlzQWDkbsSSunETNRzDp5mb1vLwW05X0VnNM2NGWIbWYu5Kia9au2CnJXdBBKfRmEjnjYxkjlG52Wm0/gHYngfo/F57TWusPqvSuRuVqeV05i3WLFOfd58cxo5hNXlZKGk8rmu6g7bbjrdEzREeEmR1NluGunbmsqjaOp5qjHX4GtDeWT32gkNcRsS0dhJHcpHwz/eTIfda9+cPWWsbhqwtwNx/wBbJlLzmnbtHlMg3/uP/wCLKvRgVeMeq9yWIiLzUEREBQa99M679x63+dOpyoPkGFnEqy89BJiIA33+WaXm+9zt++uzJtdXh6wyjvQHjhhshls1wqfRo2brKWsILVp1eF0gghFS20yPIHotDnNHMdhu4DvCr3j5pPOZnVvFOahhshehucMvIK0laq+Rs9nym2fEsIB5pNnNPIOuzh06rpVFtmm7FQ+t8JqaHiDw5yWAxM016hpPNQNlfC7xEVp0VQ14pnbbN5nsOwcRvyu27Cq/4eYnO5Lipwwzd3Ga/t3IaN+rnsnqWCdteC5PXaeWKI+jFHzxvHNGwR/6scxOy64RTN0ip/BZqZHDcD9OYLMYi/hcrg4jjLVe/CY+Z8Z6vjPY+NwIIeOh6+oqx9G/wx1V/Nqf4HrYrA0awnVmqZAPQ3qx77fXCMkj7zm/fWerCrjdHnDKNUpkiIvMYiIiAona4fN8fI/GZvJYOF7i81aYgfCHHqS1ssT+Xc9dmkDck7dVLEWyjEqw/llb2Q3zAyHuzzf4Cl+zp5gZD3Z5v8BS/Z1MkW7tOJu4R7F0N8wMh7s83+Apfs6eYGQ92eb/AAFL9nUyRO04m7hHsXRBnD+w/wBG1qrNWoT9FF/yaHmHeOeKFrx9trgfUQpTTpwY6pDVqwsr1oWCOOKJoa1jQNgAB2Be5Frrxa8TRVPp5F7iIi0oIiIC1We05V1BHEZXy1rUBJguVnBs0JI2PKSCCD03aQQdhuOg22qLKmqaJzqZ0iHO0DfLiRrLNNBPYIaXT/26/PMDIe7PN/gKX7Opki6O04m7hHst3POlsvqXOeERrjQU+qr7MTg8XRu15461QTvfMDzh5MJaQNumzR9sq1PMDIe7PN/gKX7Oqp4e/Vt8Wvg/iPyOXRCdpxN3CPYuhw0BeJ9PWObc3vAipDf+sV9wpHhsNVwNFtWpGWs3L3Pe4ufI89r3uPVzj3krORYV41eJFqp0eER5FxERaEEREBERAREQEREBERAREQEREBERAREQc78Pfq2+LXwfxH5HLohc78Pfq2+LXwfxH5HLohAREQEREBERAREQEREBERAREQE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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/streaming-subgraphs.ipynb b/docs/docs/how-tos/streaming-subgraphs.ipynb
index 416a8e742..5d78158c1 100644
--- a/docs/docs/how-tos/streaming-subgraphs.ipynb
+++ b/docs/docs/how-tos/streaming-subgraphs.ipynb
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -171,12 +171,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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N9+MKcevm7kV/V7Qzr1gldn/iLj/UGPcIVQldn/iLj/UGPcIc+cees+6r70po1S3wABwLgmtomA1+0zGFUVo9JYiKlRZZriKSlzfYfbfQWqkqLQ1NpI+HMZ6GR8RSiMyFtGRZWqmmflayLCblORDM9x9bi3EJ5Qv9ZKSaVok+GqtTIzJJl2ZJk85TaxRE3Xcd4ru2mf1qPSIO2mf1zfpEI5WAYupRqVjdQZmepmcFrj/+I/ne+xbo1T+oNfhHt6Isutnyx+SmKFl20z+ub9Ig7aZ/XN+kQje99i3Rqn9Qa/CHe+xbo1T+oNfhDRFl1s+WPyMULLtpn9c36RB20z+ub9IhG977FujVP6g1+EO99i3Rqn9Qa/CGiLLrZ8sfkYoauXYvW5pDYjTbGzhoZc5RKqi3kV6zPQy0UthxBqLjzGZl5RnYps7psPs1TodxfzHVNm0bdrkc2e1oZkepNvvLSSuHztNS48eJj5977FujVP6g1+EO99i3Rqn9Qa/CJ0VZ3XfFny//AEYoWXbTP65v0iHhz/1NNkUvIcfpNoFI489JrTTWWEdhwz3mFrM2V7pfouLUk/8AiJ8w9Y977FujVP6g1+EO99i3Rqn9Qa/CL2WbLKyriqLSfLH5E1RKT7FLZUWxTYpSUc1/fupBHYWanHd4+2XCTvJ4n/qJShH/ACa+UdvdtM/rm/SIRve+xbo1T+oNfhDvfYt0ap/UGvwitWarKqZqm1nyx+RihZdtM/rm/SIO2mf1zfpEI3vfYt0ap/UGvwh3vsW6NU/qDX4RXRFl1s+WPyMULLtpn9c36RB20z+ub9IhG977FujVP6g1+EO99i3Rqn9Qa/CGiLLrZ8sfkYoWXbTP65v0iDtpn9c36RCN732LdGqf1Br8Id77FujVP6g1+ENEWXWz5Y/IxQsu2mf1zfpEP0h9tZ6JcSo/MSiMRfe+xbo1T+oNfhH8PZ9jGh7uO1bZ/pNQ20KL7SUREZH9pCNEWXWz5Y/IxQuAE5g89+TBnxJDy5K66YuIl5w9VrQSUqTvH5TJKyIz8ump6nqYox8/b2U2FpVZVa4XAABiMK58Z8Y6w9/DuCoEvc+M+MdYe/h3BUD1c28m0+r9tLOvoZ2R+L1p1V33DHFx78wVnVWvcIcrI/F606q77hji49+YKzqrXuEMMv5+nu900amgAAOFcAAAAAAEfknj/jfUZ/vRhsDHyTx/xvqM/wB6MNgfbZH+ksu6f+1TKvWAJLaFtLrtnTFYUmHPtrK1k9qV9VVMk7KlOEhS1EklKSkiShKlKUpRERFxPmElV9klQWmMO2yKW9RL+V3aKPRHFQqxky20Et1tLSXDJO4RL1NakkRIMzPQ0mfRfEKO2gHQu0jsmHKfZlkFxQY7as5LTz4UKbT20VCHoRSHUElxxPKklSFpMyQpC1FvmnXgStO6MbuHr+ljT5FTOo3niUaoFlyfbDWijLw+TWtHHTUtFHwMuY9SCJieIaQDpfsldqGRYDExSrxqvtVzchtm4B2VbGjSFsJ3FrUhtD7iUm8okHu75GgiJZmepJI9PJ9tkfZWhmLkVLlc+BBYYKwysq1rtNs1EkjcdNCk+U9Vcm2aU8ebQL4HaoDpLaRtUtKfL86qa+XZVr9NhEu4iNvQIyojzqeKJLb2+pwzQrwDbW2ST0M+PDWqwvagzNVgtDYlJkX97jpXJyktoJk+TSwTu9oZaKNT5GRJTpz83AgxRfcOwwHUtn2SuOVqY5FVXkx6TkMzGGWIkVtxxyZG397QuU+Yo0GSVH5yNRJLUy51rt0jVsmLAaxDKLS9VETOmU1dEZekVzSlKSg5Bk9yaTUaF7qUrUo909CDFA7MAdSO9kvjcp6mZoam/wAsfs647YmaaCS3I0YnTZNbqXFoMjJxK0GhJKVqk+A7bExMTqGXlXixcdTe9wxt454vVfVWvcIYmVeLFx1N73DG3jni9V9Va9wh5GduYo75+0NaNTRAAHy64AAAAAAMOT4+0vUJvvxhTiYk+PtL1Cb78YU49fN3Ir+r2hnXrBK7P/EXH+oMe4QqhK7P/EXH+oMe4Q58489Z91X3pTRqlvgADgXBGOf6TLT+yIX76ULMRjn+ky0/siF++lD2s089V9PvCJ1S2wAQWf7Yq7A7qJTJp7rJLp+K5POuooqX3moyFElTy95aCJO8ZJItTUo+BEY+lmbmC9AdVR+yJo7HF8Xtqymu7qZkkZc2BS1jDT0w46DIlPL/AChNtoI1IIzUsuKyT87Ui+R9krjrjdI3Ep8gn2lrKl17dQxBSUtiVGSlTrDyVrSSFElRK3jPc047xFoZxigdtAOsmOyCxx/Dzu+0rdMv5UXSFQdqEqxVPRqaoxNpUaTUSSNeu9u7pb29oOBYdkzjVJi2QXFvU31PIoXobVjTzIaSmsplOk2y4SUrNC0GZnxQtXzFERGZaGxQO3AHXVhtglV9JGsD2eZnIekPuNIgR4LC5BISlJ8qvR/dQk97QiUolmZGW7wEhnfZHuRcX2c5BiFHYX1fk92mvebSw2l9pKSdJxjdcdb3X99tSS11SXJuamXg6sUDvQB1zkG2yJRz4tYxi+SXl2qE1YTKqpiNPP1zTmu72wZuk2SjNKyJKVqM9xWhGXEVmG5fV57jFff0z6pFbOb5Rpa0GhRaGaVJUk+KVJURpMj4kZGQm8bQCC2gbYa/AL6royprrI7qxYeltV9HGQ86hho0kt1W+tBaEa0loRmozPgRjQp9pdbc5LklG3FnMTaGHEmy+XbSlJokIcUhKfC13iJpRKIyLQzLQz46L41CtAdPxeyZpbVqhKoxnJrubdUaMgjQYERlTpRVLNB75qeJCVEempb3HeIkmo+A+uH9ktjmZy8aKPT38CsyRamau3sISWosh9KFLUzrvmtKyJDhEakElRoPdUoRigdtgOk1dldjxRIU4sXyxyqm2LlRHsW65tbTk1Li2yYSROmszUtBpSokmjUyI1EZGRU1Ttug3FNkklrG8jRb4++1GnY6cNC7BKnCSps0pQ4pCkqSslEol6ERGZmWhhigdjAOpH+yXxuvwrKcis6m9p14w7HataedEQicxyykE0vdJw0KSolkZGlZ8Eq8paDaotskS2ymooZ2OX2OS7duS7XruGGW0SSYS0pRESHVKSo0u7xJWlJ6IXqRGWhr4HYICcwfO4G0CHaS61mSiLBspNZy0hKSTIWwvccW0ZKPVvfJSSM9DM0Hw00M6MSMvAP8vk/9rr/cMisEngH+Xyf+11/uGRWD5LOX6uv/AF9odAAAPNGFc+M+MdYe/h3BUCXufGfGOsPfw7gqB6ubeTafV+2lnX0M7I/F606q77hji49+YKzqrXuEOVkfi9adVd9wxxce/MFZ1Vr3CGGX8/T3e6aNTQAAHCuAAAAAACPyTx/xvqM/3ow2Bj5J4/431Gf70YbA+2yP9JZd0/8AaplXrdG9lJHsIsbCLyiWiPkdZcmcKSc6IwtKVx3UuoSiUttt7fT4Jp30qIvCLXdMj6jp8BjbUcYrrelxs8vucXyqdJySgyR6IpFtIlMJ5ZTbrSlx95BLZNBEZJTuaGZGWp+usixaly+v7RvqiBdwd7e7WsYyJDevn3VkZaj7UlDWY1XNV9RXRKqA1rycWEwllpH7EpIiL/oNppvlR0Lc7HpF7sOy+txzZpU7O76fIivMVjD0femFGeafb5ZxktxKjNLiCLeURa668T07Hh7asfq4jTeb2FRs/vVlvqpbm7h9sIRqZJX4LhkZK0PTQ/IOwR8nYjDyt5xltxXNqpBGYtddqHUudORtr0rZ1ZYVY1uTwKPLWZtjJrJ7DyI7SYkhKjMyXxMjeb8EtVeER6acR1btx2I5dn1ptIjuYc1lsq4ZSnHLybaNNx6lkmEkplLKj3kO8olw95KdFmst5SSI9PVzTDbCTS22lsjPXRCSIfsRNN+sdF5TszyPMs1tZvyf8nQ7TZ0/Q8rIfbVyE11wz5JRIUZnukepqSRp4cDMZlTjGeUMnZZlKsMXLsKOhlY9aUkeyjcs3vGwTb7bi1pbWg+19TLeJRE4XAzIyHocAwjzNhGyjN2LzE7K3oW4LkfPbq/mttTWnkMRpLMgmlpVvEayNTiS0It7jqaU8dOVtK2MyE7ZbnLnNmlXtTqb2DFZONLdjNyK2QwSk6p7Y0SbTiVJ13T3iNPMfl9HgGGLrh5s2qbMbt7G8fhYTsyao7+HW61tzQXLEJNFLcWa3GVF4BvMbxmpRElRL1V4BGeo9HRUuojMpfWlx8kETi0loSlacTIv2j6gJiLhl5V4sXHU3vcMbeOeL1X1Vr3CGJlXixcdTe9wxt454vVfVWvcIeTnbmKO+ftDWjU0QAB8uuAAAAAADDk+PtL1Cb78YU4mJPj7S9Qm+/GFOPXzdyK/q9oZ16wSuz/xFx/qDHuEKoSuz/xFx/qDHuEOfOPPWfdV96U0apb4AA4FwRjn+ky0/siF++lCzEY5/pMtP7IhfvpQ9rNPPVfT7widUtsebeyKVe4/tWx+9xV9cK1epZMCY7Gsa5t52NyqVpImZjrZeAo1KJ1Jq0M9DToY9JDCybA8ZzUmCyHHam+Jg9Wis4LUnkz/AKu+k9P7h9JMXwweW6nZfT5fQ7NM2xDAWc9xGDRv0DuNXzkYpTe5IPSS2tw+RWvlG3SUZKIlJXqngfDsii2WTIOX7KraqwOvwmvrpNtJtq2ueYNEVT0fkmlK3N0nFrJCCPcJWnNqZFqO9IkRiBFajRWW40dpJIbZZQSUISXAiIi4EReYh9REUwPK2Wdj9kd18t2ruNQL5cTPpOQR8fs3mjYt4DsNphRamakoXqSjTymmho4kWpGNe52RSLjZRcxce2T1uBW8u4qnO0Ij8TlZMaPMYeU46toybLdInjJO+o9C4cVaD0kAYYHS+3bCbzKcrxSWWNLznEojUpE7HET2oyFyVcnyD7iXVJQ8hJE4W6ZnoayMkmISi2QZvjexrEq9nGY53WJ5o5eIp409om5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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/how-tos/streaming-tokens-without-langchain.ipynb b/docs/docs/how-tos/streaming-tokens-without-langchain.ipynb
index 98c5ba460..5e737cb49 100644
--- a/docs/docs/how-tos/streaming-tokens-without-langchain.ipynb
+++ b/docs/docs/how-tos/streaming-tokens-without-langchain.ipynb
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "d59234f9-173e-469d-a725-c13e0979663e",
    "metadata": {},
    "outputs": [],
@@ -99,7 +99,6 @@
     "    ensure_config,\n",
     "    get_callback_manager_for_config,\n",
     ")\n",
-    "\n",
     "openai_client = AsyncOpenAI()\n",
     "# define tool schema for openai tool calling\n",
     "\n",
@@ -190,7 +189,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "b756ea32",
    "metadata": {},
    "outputs": [],
@@ -240,7 +239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "228260be-1f9a-4195-80e0-9604f8a5dba6",
    "metadata": {},
    "outputs": [],
@@ -282,29 +281,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "id": "45c96a79-4147-42e3-89fd-d942b2b49f6c",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
-      "  warn_beta(\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': 'call_xUcx3IPa8GREPOpjHVj5k9Wx', 'function': {'arguments': '', 'name': 'get_items'}, 'type': 'function'}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': 'get_items', 'args': '', 'id': 'call_xUcx3IPa8GREPOpjHVj5k9Wx', 'error': None}], 'usage_metadata': None, 'tool_call_chunks': [{'name': 'get_items', 'args': '', 'id': 'call_xUcx3IPa8GREPOpjHVj5k9Wx', 'index': 0}]}\n",
-      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': '{\"', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [{'name': '', 'args': {}, 'id': None}], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': '{\"', 'id': None, 'index': 0}]}\n",
-      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': 'place', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': 'place', 'id': None, 'error': None}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': 'place', 'id': None, 'index': 0}]}\n",
-      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': '\":\"', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': '\":\"', 'id': None, 'error': None}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': '\":\"', 'id': None, 'index': 0}]}\n",
-      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': 'bed', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': 'bed', 'id': None, 'error': None}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': 'bed', 'id': None, 'index': 0}]}\n",
-      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': 'room', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': 'room', 'id': None, 'error': None}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': 'room', 'id': None, 'index': 0}]}\n",
-      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': '\"}', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': '\"}', 'id': None, 'error': None}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': '\"}', 'id': None, 'index': 0}]}\n",
+      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': 'call_6XZimd7lxnCgoLK1ZM3iAR6S', 'function': {'arguments': '', 'name': 'get_items'}, 'type': 'function'}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [{'name': 'get_items', 'args': {}, 'id': 'call_6XZimd7lxnCgoLK1ZM3iAR6S', 'type': 'tool_call'}], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': [{'name': 'get_items', 'args': '', 'id': 'call_6XZimd7lxnCgoLK1ZM3iAR6S', 'index': 0, 'type': 'tool_call_chunk'}]}\n",
+      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': '{\"', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [{'name': '', 'args': {}, 'id': None, 'type': 'tool_call'}], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': '{\"', 'id': None, 'index': 0, 'type': 'tool_call_chunk'}]}\n",
+      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': 'place', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': 'place', 'id': None, 'error': None, 'type': 'invalid_tool_call'}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': 'place', 'id': None, 'index': 0, 'type': 'tool_call_chunk'}]}\n",
+      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': '\":\"', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': '\":\"', 'id': None, 'error': None, 'type': 'invalid_tool_call'}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': '\":\"', 'id': None, 'index': 0, 'type': 'tool_call_chunk'}]}\n",
+      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': 'bed', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': 'bed', 'id': None, 'error': None, 'type': 'invalid_tool_call'}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': 'bed', 'id': None, 'index': 0, 'type': 'tool_call_chunk'}]}\n",
+      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': 'room', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': 'room', 'id': None, 'error': None, 'type': 'invalid_tool_call'}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': 'room', 'id': None, 'index': 0, 'type': 'tool_call_chunk'}]}\n",
+      "LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': '\"}', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': '\"}', 'id': None, 'error': None, 'type': 'invalid_tool_call'}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': '\"}', 'id': None, 'index': 0, 'type': 'tool_call_chunk'}]}\n",
       "LLM token {'content': 'In', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
       "LLM token {'content': ' the', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
       "LLM token {'content': ' bedroom', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
@@ -316,22 +307,11 @@
       "LLM token {'content': ' shoes', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
       "LLM token {'content': ',', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
       "LLM token {'content': ' and', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': ' some', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
       "LLM token {'content': ' dust', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
       "LLM token {'content': ' b', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
       "LLM token {'content': 'unn', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
       "LLM token {'content': 'ies', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': '.', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': ' Is', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': ' there', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': ' anything', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': ' else', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': ' you', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': ' would', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': ' like', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': ' to', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': ' know', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
-      "LLM token {'content': '?', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n"
+      "LLM token {'content': '.', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n"
      ]
     }
    ],
diff --git a/docs/docs/how-tos/streaming-tokens.ipynb b/docs/docs/how-tos/streaming-tokens.ipynb
index 170373cd1..8daf58717 100644
--- a/docs/docs/how-tos/streaming-tokens.ipynb
+++ b/docs/docs/how-tos/streaming-tokens.ipynb
@@ -108,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 6,
    "id": "17ef4967",
    "metadata": {},
    "outputs": [],
@@ -143,7 +143,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "id": "9a8bc61e",
    "metadata": {},
    "outputs": [],
@@ -172,7 +172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "id": "4d6ac180",
    "metadata": {},
    "outputs": [],
@@ -200,7 +200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "id": "42c0af37",
    "metadata": {},
    "outputs": [],
@@ -222,7 +222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 10,
    "id": "2bbdd3bc",
    "metadata": {},
    "outputs": [],
@@ -269,7 +269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 11,
    "id": "3b541bb9-900c-40d0-964d-7b5dfee30667",
    "metadata": {},
    "outputs": [],
@@ -315,7 +315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 12,
    "id": "813ae66c-3b58-4283-a02a-36da72a2ab90",
    "metadata": {},
    "outputs": [],
@@ -350,13 +350,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "id": "72785b66",
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -385,18 +385,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "id": "cfd140f0-a5a6-4697-8115-322242f197b5",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/wfh/code/lc/langgraph/.venv/lib/python3.12/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
-      "  warn_beta(\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -404,7 +396,7 @@
       "--\n",
       "Starting tool: search with inputs: {'query': 'weather in San Francisco'}\n",
       "Done tool: search\n",
-      "Tool output was: ['Cloudy with a chance of hail.']\n",
+      "Tool output was: content=['Cloudy with a chance of hail.'] name='search' tool_call_id='call_iqZnBxj7nJBwgixD3Mr1r9kT'\n",
       "--\n",
       "The| weather| in| San| Francisco| is| currently| cloudy| with| a| chance| of| hail|.|"
      ]
diff --git a/docs/docs/how-tos/tool-calling-errors.ipynb b/docs/docs/how-tos/tool-calling-errors.ipynb
index d715fc644..fff510381 100644
--- a/docs/docs/how-tos/tool-calling-errors.ipynb
+++ b/docs/docs/how-tos/tool-calling-errors.ipynb
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -166,12 +166,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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+      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -199,7 +199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -208,12 +208,12 @@
      "text": [
       "HUMAN: what is the weather in san francisco?\n",
       "\n",
-      "AI: [{'id': 'toolu_01UagsLm5GKtdtJ6nZdADFSa', 'input': {'location': 'san francisco'}, 'name': 'get_weather', 'type': 'tool_use'}]\n",
+      "AI: [{'id': 'toolu_01VjsFXhm1UhMjPJdR4UFQDJ', 'input': {'location': 'san francisco'}, 'name': 'get_weather', 'type': 'tool_use'}]\n",
       "\n",
       "TOOL: Error: ValueError('Input queries must be proper nouns')\n",
       " Please fix your mistakes.\n",
       "\n",
-      "AI: [{'text': 'Apologies, it looks like there was an issue with the weather lookup. Let me try that again with the proper format:', 'type': 'text'}, {'id': 'toolu_01PwRKYxhbgW8pHnWbyubp94', 'input': {'location': 'San Francisco'}, 'name': 'get_weather', 'type': 'tool_use'}]\n",
+      "AI: [{'text': 'Apologies, it looks like there was an issue with the weather lookup. Let me try that again with the proper format:', 'type': 'text'}, {'id': 'toolu_016t7msu5sQiDXrTWkoM2GBG', 'input': {'location': 'San Francisco'}, 'name': 'get_weather', 'type': 'tool_use'}]\n",
       "\n",
       "TOOL: It's 60 degrees and foggy.\n",
       "\n",
@@ -245,7 +245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -254,25 +254,39 @@
      "text": [
       "HUMAN: Write me an incredible haiku about water.\n",
       "\n",
-      "AI: [{'text': 'Here is a haiku about water:', 'type': 'text'}, {'id': 'toolu_018KUdKbJEiprjJdBGxDs4Zq', 'input': {'topic': ['water']}, 'name': 'master_haiku_generator', 'type': 'tool_use'}]\n",
+      "AI: [{'text': 'Here is a haiku about water:', 'type': 'text'}, {'id': 'toolu_01GVD3wqdwzFQc1Hit7UzHSt', 'input': {'topic': ['water']}, 'name': 'master_haiku_generator', 'type': 'tool_use'}]\n",
       "\n",
-      "TOOL: Error: ValidationError(model='master_haiku_generatorSchema', errors=[{'loc': ('request',), 'msg': 'field required', 'type': 'value_error.missing'}])\n",
+      "TOOL: Error: 1 validation error for master_haiku_generator\n",
+      "request\n",
+      "  Field required [type=missing, input_value={'topic': ['water']}, input_type=dict]\n",
+      "    For further information visit https://errors.pydantic.dev/2.7/v/missing\n",
       " Please fix your mistakes.\n",
       "\n",
-      "AI: [{'text': 'Oops, let me try that again with the required parameters:', 'type': 'text'}, {'id': 'toolu_015ENNFtemedbmJdvkzT7PU1', 'input': {'request': {'topic': ['water']}}, 'name': 'master_haiku_generator', 'type': 'tool_use'}]\n",
+      "AI: [{'text': 'Oops, my apologies. Let me try that again with the correct format:', 'type': 'text'}, {'id': 'toolu_01Wj9ocQBPUrS9voHb2raqwx', 'input': {'topic': ['water']}, 'name': 'master_haiku_generator', 'type': 'tool_use'}]\n",
       "\n",
-      "TOOL: Error: ValidationError(model='master_haiku_generatorSchema', errors=[{'loc': ('request', 'topic'), 'msg': 'ensure this value has at least 3 items', 'type': 'value_error.list.min_items', 'ctx': {'limit_value': 3}}])\n",
+      "TOOL: Error: 1 validation error for master_haiku_generator\n",
+      "request\n",
+      "  Field required [type=missing, input_value={'topic': ['water']}, input_type=dict]\n",
+      "    For further information visit https://errors.pydantic.dev/2.7/v/missing\n",
       " Please fix your mistakes.\n",
       "\n",
-      "AI: [{'text': 'Hmm, it looks like the haiku generator requires at least 3 topics. Let me provide 3 related topics:', 'type': 'text'}, {'id': 'toolu_015vKAc67QwAgoJxigueiyLi', 'input': {'request': {'topic': ['water', 'ocean', 'waves']}}, 'name': 'master_haiku_generator', 'type': 'tool_use'}]\n",
+      "AI: [{'text': 'Hmm, it seems there was an issue with the input format. Let me try a different approach:', 'type': 'text'}, {'id': 'toolu_01WfwAU9nxnoBh6HEboBPrxM', 'input': {'request': {'topic': ['water']}}, 'name': 'master_haiku_generator', 'type': 'tool_use'}]\n",
       "\n",
-      "TOOL: Here is a haiku about water, ocean, and waves:\n",
+      "TOOL: Error: 1 validation error for master_haiku_generator\n",
+      "request.topic\n",
+      "  List should have at least 3 items after validation, not 1 [type=too_short, input_value=['water'], input_type=list]\n",
+      "    For further information visit https://errors.pydantic.dev/2.7/v/too_short\n",
+      " Please fix your mistakes.\n",
+      "\n",
+      "AI: [{'text': 'Ah I see, the haiku generator requires at least 3 topics. Let me provide 3 topics related to water:', 'type': 'text'}, {'id': 'toolu_014M2beHCGvNSz6FSmnunUUG', 'input': {'request': {'topic': ['ocean', 'rain', 'river']}}, 'name': 'master_haiku_generator', 'type': 'tool_use'}]\n",
+      "\n",
+      "TOOL: Here is a haiku about ocean, rain, and river:\n",
       "\n",
       "Vast ocean's embrace,\n",
-      "Waves crash upon the shoreline,\n",
-      "Water's eternal dance.\n",
+      "Raindrops caress the river,\n",
+      "Nature's symphony.\n",
       "\n",
-      "AI: I hope you enjoy this haiku about the beauty and power of water! Let me know if you would like me to generate another one.\n",
+      "AI: I hope this haiku about water captures the essence you were looking for! Let me know if you would like me to generate another one.\n",
       "\n"
      ]
     }
@@ -351,7 +365,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -485,12 +499,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -516,33 +530,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'agent': {'messages': [AIMessage(content=[{'text': 'Here is a haiku about water:', 'type': 'text'}, {'id': 'toolu_01DHSAkgSaCR1hrpAx1cKbJs', 'input': {'topic': ['water']}, 'name': 'master_haiku_generator', 'type': 'tool_use'}], response_metadata={'id': 'msg_015dn3iAZDnBxPCzDo8eWSub', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 384, 'output_tokens': 67}}, id='run-8b01a16f-1dcd-4d4b-b183-725f8e7a2865-0', tool_calls=[{'name': 'master_haiku_generator', 'args': {'topic': ['water']}, 'id': 'toolu_01DHSAkgSaCR1hrpAx1cKbJs', 'type': 'tool_call'}], usage_metadata={'input_tokens': 384, 'output_tokens': 67, 'total_tokens': 451})]}}\n",
-      "{'tools': {'messages': [ToolMessage(content='', additional_kwargs={'error': ValidationError(model='master_haiku_generatorSchema', errors=[{'loc': ('request',), 'msg': 'field required', 'type': 'value_error.missing'}])}, name='master_haiku_generator', id='b4761ee1-4d73-482b-85a0-6c114463ab1d', tool_call_id='toolu_01DHSAkgSaCR1hrpAx1cKbJs')]}}\n",
-      "{'remove_failed_tool_call_attempt': {'messages': [RemoveMessage(content='', id='run-8b01a16f-1dcd-4d4b-b183-725f8e7a2865-0'), RemoveMessage(content='', id='b4761ee1-4d73-482b-85a0-6c114463ab1d')]}}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: The class `RemoveMessage` is in beta. It is actively being worked on, so the API may change.\n",
-      "  warn_beta(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'fallback_agent': {'messages': [AIMessage(content=[{'text': 'Certainly! I\\'d be happy to help you create an incredible haiku about water. To do this, I\\'ll use the master_haiku_generator function, which requires three topics. Since you\\'ve specified water as the main theme, I\\'ll add two related concepts to create a more vivid and interesting haiku. Let\\'s use \"water,\" \"flow,\" and \"reflection\" as our three topics.', 'type': 'text'}, {'id': 'toolu_01THSivCtMnx6P7oVy4eqywy', 'input': {'request': {'topic': ['water', 'flow', 'reflection']}}, 'name': 'master_haiku_generator', 'type': 'tool_use'}], response_metadata={'id': 'msg_01HQQbQ8YjSKn37kQYSwKn8D', 'model': 'claude-3-5-sonnet-20240620', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 414, 'output_tokens': 158}}, id='run-c0ceb996-d5f4-4d28-9844-095c83b74ebe-0', tool_calls=[{'name': 'master_haiku_generator', 'args': {'request': {'topic': ['water', 'flow', 'reflection']}}, 'id': 'toolu_01THSivCtMnx6P7oVy4eqywy', 'type': 'tool_call'}], usage_metadata={'input_tokens': 414, 'output_tokens': 158, 'total_tokens': 572})]}}\n",
-      "{'tools': {'messages': [ToolMessage(content='\"Here is a haiku about water, flow, and reflection:\\\\n\\\\nRippling waters flow,\\\\nMirroring the sky above,\\\\nTranquil reflection.\"', name='master_haiku_generator', id='b7da21e3-bc09-4f4a-a25b-3df29db69589', tool_call_id='toolu_01THSivCtMnx6P7oVy4eqywy')]}}\n",
-      "{'agent': {'messages': [AIMessage(content='I hope you enjoy this haiku about the beauty and serenity of water. Please let me know if you would like me to generate another one.', response_metadata={'id': 'msg_01KZc2GPbh7xVHUQVpJoWkMK', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 587, 'output_tokens': 35}}, id='run-89d4dfce-ae04-471f-894e-7d632feeb5cb-0', usage_metadata={'input_tokens': 587, 'output_tokens': 35, 'total_tokens': 622})]}}\n"
+      "{'agent': {'messages': [AIMessage(content=[{'text': 'Here is a haiku about water:', 'type': 'text'}, {'id': 'toolu_01KTUs6ctRCq16sq9sgQv3wv', 'input': {'topic': ['water']}, 'name': 'master_haiku_generator', 'type': 'tool_use'}], additional_kwargs={}, response_metadata={'id': 'msg_016PcwaodGvp1mfg5Y2zCZdY', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 384, 'output_tokens': 67}}, id='run-b07f1a34-03f1-45eb-be6c-cb8fa9f40ae8-0', tool_calls=[{'name': 'master_haiku_generator', 'args': {'topic': ['water']}, 'id': 'toolu_01KTUs6ctRCq16sq9sgQv3wv', 'type': 'tool_call'}], usage_metadata={'input_tokens': 384, 'output_tokens': 67, 'total_tokens': 451})]}}\n",
+      "{'tools': {'messages': [ToolMessage(content='', name='master_haiku_generator', id='9f17c76c-cd1f-46af-ae9f-a751870e9623', tool_call_id='toolu_01KTUs6ctRCq16sq9sgQv3wv')]}}\n",
+      "{'remove_failed_tool_call_attempt': {'messages': [RemoveMessage(content='', additional_kwargs={}, response_metadata={}, id='run-b07f1a34-03f1-45eb-be6c-cb8fa9f40ae8-0'), RemoveMessage(content='', additional_kwargs={}, response_metadata={}, id='9f17c76c-cd1f-46af-ae9f-a751870e9623')]}}\n",
+      "{'fallback_agent': {'messages': [AIMessage(content=[{'text': 'Certainly! I\\'d be happy to help you create an incredible haiku about water. To do this, I\\'ll use the master_haiku_generator function, which requires three topics. Since you\\'ve specified water as the main theme, I\\'ll add two related concepts to create a more vivid and interesting haiku. Let\\'s use \"water,\" \"flow,\" and \"reflection\" as our three topics.', 'type': 'text'}, {'id': 'toolu_01Aaw1k5JoAFvW4qhXZp6d8R', 'input': {'request': {'topic': ['water', 'flow', 'reflection']}}, 'name': 'master_haiku_generator', 'type': 'tool_use'}], additional_kwargs={}, response_metadata={'id': 'msg_01TYGeG6NDCRDY362fzWBuHc', 'model': 'claude-3-5-sonnet-20240620', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 414, 'output_tokens': 158}}, id='run-cd0145ce-c7b9-42cc-8ef7-ed31e43ae2cd-0', tool_calls=[{'name': 'master_haiku_generator', 'args': {'request': {'topic': ['water', 'flow', 'reflection']}}, 'id': 'toolu_01Aaw1k5JoAFvW4qhXZp6d8R', 'type': 'tool_call'}], usage_metadata={'input_tokens': 414, 'output_tokens': 158, 'total_tokens': 572})]}}\n",
+      "{'tools': {'messages': [ToolMessage(content='\"Here is a haiku about water, flow, and reflection:\\\\n\\\\nRippling waters flow,\\\\nMirroring the sky above,\\\\nTranquil reflection.\"', name='master_haiku_generator', id='fd0b83d7-1689-4ae8-8b96-efc6312b9728', tool_call_id='toolu_01Aaw1k5JoAFvW4qhXZp6d8R')]}}\n",
+      "{'agent': {'messages': [AIMessage(content='I hope you enjoy this haiku about the beauty and serenity of water. Please let me know if you would like me to generate another one.', additional_kwargs={}, response_metadata={'id': 'msg_01VVhnkp81jmo6DhiL4GEVzx', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 587, 'output_tokens': 35}}, id='run-437ce9bb-94fc-4bdd-98ee-09175ffb580c-0', usage_metadata={'input_tokens': 587, 'output_tokens': 35, 'total_tokens': 622})]}}\n"
      ]
     }
    ],
diff --git a/docs/docs/how-tos/tool-calling.ipynb b/docs/docs/how-tos/tool-calling.ipynb
index 84d6fa329..92bb9697b 100644
--- a/docs/docs/how-tos/tool-calling.ipynb
+++ b/docs/docs/how-tos/tool-calling.ipynb
@@ -69,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -222,7 +222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -305,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -346,12 +346,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/tutorials/introduction.ipynb b/docs/docs/tutorials/introduction.ipynb
index 579f9dbaf..ae179743a 100644
--- a/docs/docs/tutorials/introduction.ipynb
+++ b/docs/docs/tutorials/introduction.ipynb
@@ -91,7 +91,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "id": "e58df974-7579-4f25-9d91-66389b94eba2",
    "metadata": {},
    "outputs": [],
@@ -142,7 +142,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "bc8c9137-8261-42ea-8e83-3590981d23e2",
    "metadata": {},
    "outputs": [],
@@ -176,7 +176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "e331e10d-ebcf-4144-9bd3-999b4d656dd3",
    "metadata": {},
    "outputs": [],
@@ -194,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "id": "075f0929-3591-4852-b2d3-eaadde40662d",
    "metadata": {},
    "outputs": [],
@@ -212,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "id": "0bb67a01-cf5c-4625-8c07-6e8c0af50fca",
    "metadata": {},
    "outputs": [],
@@ -230,13 +230,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "id": "32e4f36e-72ce-4ade-bd7e-94880e0d456b",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
+      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -439,20 +439,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "id": "35c8978e-c07d-4dd0-a97b-0ce3a723eea5",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[{'url': 'https://medium.com/@cplog/introduction-to-langgraph-a-beginners-guide-14f9be027141',\n",
-       "  'content': 'Nodes: Nodes are the building blocks of your LangGraph. Each node represents a function or a computation step. You define nodes to perform specific tasks, such as processing input, making ...'},\n",
-       " {'url': 'https://js.langchain.com/docs/langgraph',\n",
-       "  'content': \"Assuming you have done the above Quick Start, you can build off it like:\\nHere, we manually define the first tool call that we will make.\\nNotice that it does that same thing as agent would have done (adds the agentOutcome key).\\n LangGraph\\n🦜🕸️LangGraph.js\\n⚡ Building language agents as graphs ⚡\\nOverview\\u200b\\nLangGraph is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain.js.\\n Therefore, we will use an object with one key (messages) with the value as an object: { value: Function, default?: () => any }\\nThe default key must be a factory that returns the default value for that attribute.\\n Streaming Node Output\\u200b\\nOne of the benefits of using LangGraph is that it is easy to stream output as it's produced by each node.\\n What this means is that only one of the downstream edges will be taken, and which one that is depends on the results of the start node.\\n\"}]"
+       "[{'url': 'https://langchain-ai.github.io/langgraph/concepts/low_level/',\n",
+       "  'content': 'Nodes¶ In LangGraph, nodes are typically python functions (sync or async) where the first positional argument is the state, and (optionally), the second positional argument is a \"config\", containing optional configurable parameters (such as a thread_id). Similar to NetworkX, you add these nodes to a graph using the add_node method:'},\n",
+       " {'url': 'https://medium.com/@cplog/introduction-to-langgraph-a-beginners-guide-14f9be027141',\n",
+       "  'content': 'Nodes: Nodes are the building blocks of your LangGraph. Each node represents a function or a computation step. You define nodes to perform specific tasks, such as processing input, making ...'}]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -478,7 +478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "id": "dc5af88b-47d2-43bf-9a2c-6c07506b1732",
    "metadata": {},
    "outputs": [],
@@ -525,7 +525,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "id": "12f1fc14-cd91-4cd4-9f2e-1d007f8beafc",
    "metadata": {},
    "outputs": [],
@@ -583,7 +583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "id": "d662df94-66ac-4c6c-92f0-4c93620f1c74",
    "metadata": {},
    "outputs": [],
@@ -641,13 +641,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 11,
    "id": "8b49509c-9d97-457c-a76a-c495fb30ccbc",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -846,7 +846,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 12,
    "id": "6baafdf6-6803-4305-9381-9dc970468a4d",
    "metadata": {},
    "outputs": [],
@@ -868,19 +868,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 13,
    "id": "e6a51f1e-00de-4701-8931-de8cf19294ae",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/wfh/code/lc/langchain/libs/core/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: The method `ChatAnthropic.bind_tools` is in beta. It is actively being worked on, so the API may change.\n",
-      "  warn_beta(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from typing import Annotated\n",
     "\n",
@@ -935,7 +926,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 14,
    "id": "a06548bf-81fa-4436-b4c1-f68601fb4187",
    "metadata": {},
    "outputs": [],
@@ -953,13 +944,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 15,
    "id": "761d15fb-d5e2-4d50-a630-126d77e77294",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -1249,7 +1240,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 16,
    "id": "5a81608a-373a-4339-b1c6-65b73a92b983",
    "metadata": {},
    "outputs": [],
@@ -1308,7 +1299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 17,
    "id": "b0883e32-1a39-4ce9-ae32-bbd66708fd84",
    "metadata": {},
    "outputs": [],
@@ -1557,19 +1548,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 18,
    "id": "faa345c6-38a2-42e8-9035-9cf56f7bb5b1",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/wfh/code/lc/langchain/libs/core/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: The method `ChatAnthropic.bind_tools` is in beta. It is actively being worked on, so the API may change.\n",
-      "  warn_beta(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from typing import Annotated\n",
     "\n",
@@ -1771,13 +1753,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 19,
    "id": "f4009ba6-dc0b-4216-ab0c-fbb104616f73",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -2064,7 +2046,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 20,
    "id": "3cf7e042-1718-4625-ae30-a9917f595449",
    "metadata": {},
    "outputs": [],
@@ -2097,7 +2079,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 21,
    "id": "e5192e54-6a28-42fe-a8a7-62d45d61f994",
    "metadata": {},
    "outputs": [],
@@ -2124,19 +2106,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 22,
    "id": "fa59b266-14e5-4c75-8b3d-54fac28e8290",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/wfh/code/lc/langchain/libs/core/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: The method `ChatAnthropic.bind_tools` is in beta. It is actively being worked on, so the API may change.\n",
-      "  warn_beta(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "tool = TavilySearchResults(max_results=2)\n",
     "tools = [tool]\n",
@@ -2166,7 +2139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 23,
    "id": "3f4464d2-288b-4689-aaf0-329a55dcb85c",
    "metadata": {},
    "outputs": [],
@@ -2187,7 +2160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 24,
    "id": "1d70b5a4-ce50-47dc-aa43-ffb5c48c46fc",
    "metadata": {},
    "outputs": [],
@@ -2234,7 +2207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 25,
    "id": "586a0d07-8303-47f4-b3cf-3bdd043e762b",
    "metadata": {},
    "outputs": [],
@@ -2263,7 +2236,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 26,
    "id": "84101737-0048-4635-9f68-45b0c508b6b6",
    "metadata": {},
    "outputs": [],
@@ -2290,13 +2263,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 27,
    "id": "b3220ae2-cba0-4447-96d1-eb0be4684e59",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -2640,7 +2613,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 28,
    "id": "bb8a02de-a21b-4ef6-a714-7d6e44435e3a",
    "metadata": {},
    "outputs": [],
@@ -2750,13 +2723,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 29,
    "id": "a7debb4a-2a3a-40b9-a48c-7052ec2c2726",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/tutorials/lats/lats.ipynb b/docs/docs/tutorials/lats/lats.ipynb
index 783b625e9..7d721c061 100644
--- a/docs/docs/tutorials/lats/lats.ipynb
+++ b/docs/docs/tutorials/lats/lats.ipynb
@@ -105,7 +105,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "id": "54c6f319-3966-4f66-aa7b-50e249189111",
    "metadata": {},
    "outputs": [],
@@ -267,7 +267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
    "id": "e10c94ba-9daa-4899-97ce-4f28428c2c38",
    "metadata": {},
    "outputs": [],
@@ -299,7 +299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "id": "48738896-42ac-47eb-b482-0d4d4dd86c87",
    "metadata": {},
    "outputs": [],
@@ -321,29 +321,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "id": "55c2aff3-f454-43da-8f45-1a3d46523cd5",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/td/vzm913rx77x21csd90g63_7c0000gn/T/ipykernel_4902/4209779393.py:9: LangGraphDeprecationWarning: ToolExecutor is deprecated as of version 0.2.0 and will be removed in 0.3.0. Use langgraph.prebuilt.ToolNode instead.\n",
-      "  tool_executor = ToolExecutor(tools=tools)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from langchain_community.tools.tavily_search import TavilySearchResults\n",
     "from langchain_community.utilities.tavily_search import TavilySearchAPIWrapper\n",
-    "\n",
-    "from langgraph.prebuilt.tool_executor import ToolExecutor, ToolInvocation\n",
+    "from langgraph.prebuilt import ToolNode\n",
     "\n",
     "search = TavilySearchAPIWrapper()\n",
     "tavily_tool = TavilySearchResults(api_wrapper=search, max_results=5)\n",
     "tools = [tavily_tool]\n",
-    "tool_executor = ToolExecutor(tools=tools)"
+    "tool_node = ToolNode(tools=tools)"
    ]
   },
   {
@@ -359,7 +349,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "id": "ddfd1750-c265-4b29-b505-83b1c5e2d30e",
    "metadata": {},
    "outputs": [],
@@ -412,7 +402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "id": "72fc5363-f0f3-4362-8499-14eb583bd75b",
    "metadata": {},
    "outputs": [],
@@ -442,17 +432,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "id": "7207f913-a6db-4ef9-a98d-ecb8612b23d5",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_mljwYuqZwfWNjUKnatTCC0zI', 'function': {'arguments': '{\"query\": \"lithium pollution research report 2023\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}, {'id': 'call_EYJv1yTvnPoymBcqmbQqoUJG', 'function': {'arguments': '{\"query\": \"lithium mining environmental impact 2023\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}, {'id': 'call_o4vzIZsAeGXQyJPaGRxsSIk3', 'function': {'arguments': '{\"query\": \"lithium battery disposal environmental effects 2023\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}], 'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 95, 'prompt_tokens': 93, 'total_tokens': 188, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-2024-05-13', 'system_fingerprint': 'fp_992d1ea92d', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-7924bc82-258a-4f1b-8c9b-87f7512eec7c-0', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research report 2023'}, 'id': 'call_mljwYuqZwfWNjUKnatTCC0zI', 'type': 'tool_call'}, {'name': 'tavily_search_results_json', 'args': {'query': 'lithium mining environmental impact 2023'}, 'id': 'call_EYJv1yTvnPoymBcqmbQqoUJG', 'type': 'tool_call'}, {'name': 'tavily_search_results_json', 'args': {'query': 'lithium battery disposal environmental effects 2023'}, 'id': 'call_o4vzIZsAeGXQyJPaGRxsSIk3', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 95, 'total_tokens': 188})"
+       "AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_xRFx5hZJNyfurW9kWrPAWx15', 'function': {'arguments': '{\"query\":\"lithium pollution research 2023\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}], 'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 25, 'prompt_tokens': 93, 'total_tokens': 118, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-2024-05-13', 'system_fingerprint': 'fp_a5d11b2ef2', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-448238e0-f2a7-4be0-b21d-03beb7d22121-0', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research 2023'}, 'id': 'call_xRFx5hZJNyfurW9kWrPAWx15', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 25, 'total_tokens': 118})"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -476,26 +466,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 46,
    "id": "5b6b173c-78f5-4ae1-80b3-28c80e68f5c5",
    "metadata": {},
    "outputs": [],
    "source": [
-    "import json\n",
-    "\n",
-    "\n",
     "# Define the node we will add to the graph\n",
     "def generate_initial_response(state: TreeState) -> dict:\n",
     "    \"\"\"Generate the initial candidate response.\"\"\"\n",
     "    res = initial_answer_chain.invoke({\"input\": state[\"input\"]})\n",
     "    parsed = parser.invoke(res)\n",
-    "    tool_responses = tool_executor.batch(\n",
-    "        [ToolInvocation(tool=r[\"type\"], tool_input=r[\"args\"]) for r in parsed]\n",
-    "    )\n",
-    "    output_messages = [res] + [\n",
-    "        ToolMessage(content=json.dumps(resp), tool_call_id=tool_call[\"id\"])\n",
-    "        for resp, tool_call in zip(tool_responses, parsed)\n",
-    "    ]\n",
+    "    tool_responses = [tool_node.invoke(\n",
+    "        {\"messages\": [\n",
+    "            AIMessage(content=\"\",tool_calls=[{\"name\":r[\"type\"], \"args\":r[\"args\"], 'id':r['id']}]) \n",
+    "        ]}\n",
+    "    ) for r in parsed]\n",
+    "    output_messages = [res] + [tr['messages'][0] for tr in tool_responses]\n",
     "    reflection = reflection_chain.invoke(\n",
     "        {\"input\": state[\"input\"], \"candidate\": output_messages}\n",
     "    )\n",
@@ -518,7 +504,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 47,
    "id": "550bff9a-86aa-43ad-ad98-506e97c122d2",
    "metadata": {},
    "outputs": [],
@@ -545,21 +531,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 23,
    "id": "e368e61f-8150-4fd6-b3fd-208d1f0ddc9c",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_z2POWhKzUjyEJzAMPhT9OkaY', 'function': {'arguments': '{\"query\":\"lithium pollution research report 2023\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}], 'refusal': None}, response_metadata={'finish_reason': 'tool_calls', 'logprobs': None}, id='run-f5d36271-77a1-49f4-b57b-914baa04e3e1-0', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research report 2023'}, 'id': 'call_z2POWhKzUjyEJzAMPhT9OkaY', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 123, 'total_tokens': 216}),\n",
-       " AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_z2POWhKzUjyEJzAMPhT9OkaY', 'function': {'arguments': '{\"query\":\"lithium pollution research 2023\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}]}, response_metadata={'finish_reason': 'tool_calls', 'logprobs': None}, id='run-f5d36271-77a1-49f4-b57b-914baa04e3e1-1', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research 2023'}, 'id': 'call_z2POWhKzUjyEJzAMPhT9OkaY', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 123, 'total_tokens': 216}),\n",
-       " AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_z2POWhKzUjyEJzAMPhT9OkaY', 'function': {'arguments': '{\"query\":\"lithium pollution research report 2023\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}]}, response_metadata={'finish_reason': 'tool_calls', 'logprobs': None}, id='run-f5d36271-77a1-49f4-b57b-914baa04e3e1-2', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research report 2023'}, 'id': 'call_z2POWhKzUjyEJzAMPhT9OkaY', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 123, 'total_tokens': 216}),\n",
-       " AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_z2POWhKzUjyEJzAMPhT9OkaY', 'function': {'arguments': '{\"query\":\"lithium pollution research report\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}]}, response_metadata={'finish_reason': 'tool_calls', 'logprobs': None}, id='run-f5d36271-77a1-49f4-b57b-914baa04e3e1-3', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research report'}, 'id': 'call_z2POWhKzUjyEJzAMPhT9OkaY', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 123, 'total_tokens': 216}),\n",
-       " AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_z2POWhKzUjyEJzAMPhT9OkaY', 'function': {'arguments': '{\"query\":\"lithium pollution research report\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}]}, response_metadata={'finish_reason': 'tool_calls', 'logprobs': None}, id='run-f5d36271-77a1-49f4-b57b-914baa04e3e1-4', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research report'}, 'id': 'call_z2POWhKzUjyEJzAMPhT9OkaY', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 123, 'total_tokens': 216})]"
+       "[AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_rf2Ns2CW2LppxuUFI4irvRhM', 'function': {'arguments': '{\"query\":\"lithium pollution research 2023\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}], 'refusal': None}, response_metadata={'finish_reason': 'tool_calls', 'logprobs': None}, id='run-dc7c2f76-1eaf-4c65-8803-7ccededfcf0e-0', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research 2023'}, 'id': 'call_rf2Ns2CW2LppxuUFI4irvRhM', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 123, 'total_tokens': 216}),\n",
+       " AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_rf2Ns2CW2LppxuUFI4irvRhM', 'function': {'arguments': '{\"query\":\"lithium pollution research report 2023\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}]}, response_metadata={'finish_reason': 'tool_calls', 'logprobs': None}, id='run-dc7c2f76-1eaf-4c65-8803-7ccededfcf0e-1', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research report 2023'}, 'id': 'call_rf2Ns2CW2LppxuUFI4irvRhM', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 123, 'total_tokens': 216}),\n",
+       " AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_rf2Ns2CW2LppxuUFI4irvRhM', 'function': {'arguments': '{\"query\":\"lithium pollution research report\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}]}, response_metadata={'finish_reason': 'tool_calls', 'logprobs': None}, id='run-dc7c2f76-1eaf-4c65-8803-7ccededfcf0e-2', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research report'}, 'id': 'call_rf2Ns2CW2LppxuUFI4irvRhM', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 123, 'total_tokens': 216}),\n",
+       " AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_rf2Ns2CW2LppxuUFI4irvRhM', 'function': {'arguments': '{\"query\":\"lithium pollution research report\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}]}, response_metadata={'finish_reason': 'tool_calls', 'logprobs': None}, id='run-dc7c2f76-1eaf-4c65-8803-7ccededfcf0e-3', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research report'}, 'id': 'call_rf2Ns2CW2LppxuUFI4irvRhM', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 123, 'total_tokens': 216}),\n",
+       " AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_rf2Ns2CW2LppxuUFI4irvRhM', 'function': {'arguments': '{\"query\":\"lithium pollution research report 2023\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}]}, response_metadata={'finish_reason': 'tool_calls', 'logprobs': None}, id='run-dc7c2f76-1eaf-4c65-8803-7ccededfcf0e-4', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'lithium pollution research report 2023'}, 'id': 'call_rf2Ns2CW2LppxuUFI4irvRhM', 'type': 'tool_call'}], usage_metadata={'input_tokens': 93, 'output_tokens': 123, 'total_tokens': 216})]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -582,7 +568,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 48,
    "id": "d32af859-53e8-46be-8182-7d522be31f54",
    "metadata": {},
    "outputs": [],
@@ -617,16 +603,15 @@
     "        for i, tool_calls in enumerate(parsed)\n",
     "        for tool_call in tool_calls\n",
     "    ]\n",
-    "    tool_responses = tool_executor.batch(\n",
-    "        [\n",
-    "            ToolInvocation(tool=tool_call[\"type\"], tool_input=tool_call[\"args\"])\n",
-    "            for _, tool_call in flattened\n",
-    "        ]\n",
-    "    )\n",
+    "    tool_responses = [(i,tool_node.invoke(\n",
+    "        {\"messages\":\n",
+    "            [AIMessage(content=\"\",tool_calls=[{\"name\":tool_call[\"type\"], \"args\":tool_call[\"args\"], 'id':tool_call['id']}])]\n",
+    "        }\n",
+    "    )) for i, tool_call in flattened]\n",
     "    collected_responses = defaultdict(list)\n",
-    "    for (i, tool_call), resp in zip(flattened, tool_responses):\n",
+    "    for i, resp in tool_responses:\n",
     "        collected_responses[i].append(\n",
-    "            ToolMessage(content=json.dumps(resp), tool_call_id=tool_call[\"id\"])\n",
+    "            resp['messages'][0]\n",
     "        )\n",
     "    output_messages = []\n",
     "    for i, candidate in enumerate(new_candidates):\n",
@@ -660,7 +645,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 44,
    "id": "8aec0f20-f978-4df0-8900-e3a1f0544f6d",
    "metadata": {},
    "outputs": [],
@@ -702,7 +687,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 36,
    "id": "d1674593",
    "metadata": {},
    "outputs": [
@@ -713,7 +698,7 @@
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -734,7 +719,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 37,
    "id": "92392fb3-8431-4649-9e78-2cc160e96ec1",
    "metadata": {},
    "outputs": [
@@ -764,7 +749,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 38,
    "id": "37a9e785-9909-4b56-b9be-da484e3711e1",
    "metadata": {},
    "outputs": [
@@ -772,45 +757,34 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Based on the search results, here is a summary of the top 5 most common birds, their average size and weight, and the oldest recorded instances:\n",
+      "Let's synthesize the information into a coherent table summarizing the average size, weight, and the oldest recorded instance for each of the top 5 most common birds.\n",
       "\n",
-      "### Most Common Birds\n",
-      "1. **House Sparrow (Passer domesticus)**\n",
-      "   - **Average Size**: 16 cm (6.3 in)\n",
-      "   - **Average Weight**: 24-39 grams\n",
-      "   - **Oldest Recorded Instance**: Approximately 13 years\n",
+      "### Top 5 Most Common Birds\n",
+      "Based on the search results, the top 5 most common birds are:\n",
+      "1. Domestic Chicken\n",
+      "2. House Sparrow\n",
+      "3. European Starling\n",
+      "4. Ring-billed Gull\n",
+      "5. Barn Swallow\n",
       "\n",
-      "2. **European Starling (Sturnus vulgaris)**\n",
-      "   - **Average Size**: 20 cm (8 in)\n",
-      "   - **Average Weight**: 75-90 grams\n",
-      "   - **Oldest Recorded Instance**: 15 years\n",
+      "### Table: Average Size, Weight, and Oldest Recorded Instance\n",
       "\n",
-      "3. **Ring-billed Gull (Larus delawarensis)**\n",
-      "   - **Average Size**: 49 cm (19 in)\n",
-      "   - **Average Weight**: 300-500 grams\n",
-      "   - **Oldest Recorded Instance**: 23 years\n",
+      "| Bird               | Average Size (cm) | Average Weight (g) | Oldest Recorded Instance |\n",
+      "|--------------------|-------------------|--------------------|-------------------------|\n",
+      "| Domestic Chicken   | 40-50             | 1,200-2,500        | ~16 years (Pet record)  |\n",
+      "| House Sparrow      | 14-18             | 24-40              | 13 years                |\n",
+      "| European Starling  | 20-23             | 58-100             | 15 years                |\n",
+      "| Ring-billed Gull   | 48-53             | 300-700            | 23 years                |\n",
+      "| Barn Swallow       | 15-20             | 17-20              | 16 years                |\n",
       "\n",
-      "4. **Barn Swallow (Hirundo rustica)**\n",
-      "   - **Average Size**: 15-20 cm (5.9-7.9 in)\n",
-      "   - **Average Weight**: 17-20 grams\n",
-      "   - **Oldest Recorded Instance**: 11 years\n",
+      "### Additional Details\n",
+      "- **Domestic Chicken**: The average size and weight can vary significantly based on breed and diet. The oldest recorded pet chicken lived up to 16 years.\n",
+      "- **House Sparrow**: Commonly found in urban areas, with an average lifespan significantly shorter in the wild.\n",
+      "- **European Starling**: Known for their adaptability, starlings have a notable lifespan when not exposed to predators or harsh conditions.\n",
+      "- **Ring-billed Gull**: These gulls are common in North America and have a relatively long lifespan compared to other birds.\n",
+      "- **Barn Swallow**: Known for their migratory habits, these birds have relatively high longevity given their size.\n",
       "\n",
-      "5. **Red-billed Quelea (Quelea quelea)**\n",
-      "   - **Average Size**: 12-13 cm (4.7-5.1 in)\n",
-      "   - **Average Weight**: 15-20 grams\n",
-      "   - **Oldest Recorded Instance**: 17 years\n",
-      "\n",
-      "### Table Format\n",
-      "\n",
-      "| Bird Species          | Average Size | Average Weight | Oldest Recorded Instance |\n",
-      "|-----------------------|--------------|----------------|--------------------------|\n",
-      "| House Sparrow         | 16 cm        | 24-39 grams    | 13 years                 |\n",
-      "| European Starling     | 20 cm        | 75-90 grams    | 15 years                 |\n",
-      "| Ring-billed Gull      | 49 cm        | 300-500 grams  | 23 years                 |\n",
-      "| Barn Swallow          | 15-20 cm     | 17-20 grams    | 11 years                 |\n",
-      "| Red-billed Quelea     | 12-13 cm     | 15-20 grams    | 17 years                 |\n",
-      "\n",
-      "This table summarizes the average size and weight, as well as the oldest recorded instance, for each of the top 5 most common birds. These values are based on general data, and specific numbers may vary slightly depending on the source.\n"
+      "This table now provides a structured and comprehensive summary of the requested information.\n"
      ]
     }
    ],
@@ -822,7 +796,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 49,
    "id": "1e084037-42e7-4f8e-962d-aaa3f04ab54c",
    "metadata": {},
    "outputs": [
@@ -838,6 +812,12 @@
       "---\n",
       "expand\n",
       "rolled out:  3\n",
+      "---\n",
+      "expand\n",
+      "rolled out:  3\n",
+      "---\n",
+      "expand\n",
+      "rolled out:  3\n",
       "---\n"
      ]
     }
@@ -855,7 +835,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 50,
    "id": "d403c1c8-b26b-4d79-87b1-d2d16c1a7673",
    "metadata": {},
    "outputs": [
@@ -863,54 +843,126 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "To propose an alternate strategy for Magnus Carlsen in a game against Alireza Firouzja, especially if Firouzja opts for the b3 Sicilian system, let's consider the typical play and counterplay options against this opening.\n",
+      "It appears that the specific game moves between Magnus Carlsen and Alireza Firouzja are not readily available in the search results. However, I can provide a general idea of what a typical game between high-level players like Carlsen and Firouzja might look like and propose an alternate strategy based on common chess principles.\n",
       "\n",
-      "### Overview of the b3 Sicilian\n",
-      "The b3 Sicilian is a rare but strategically rich system where White aims to fianchetto the queen's bishop and gain control over the central squares indirectly. The typical moves might start with:\n",
-      "1. e4 c5\n",
-      "2. Nf3 d6\n",
-      "3. Bb2\n",
+      "### Example Game Moves (Hypothetical)\n",
+      "Here's a hypothetical sequence of moves in a game between Magnus Carlsen and Alireza Firouzja:\n",
       "\n",
-      "### Potential Strategy and Counterplay for Magnus Carlsen\n",
+      "1. e4 e5\n",
+      "2. Nf3 Nc6\n",
+      "3. Bb5 a6\n",
+      "4. Ba4 Nf6\n",
+      "5. O-O Be7\n",
+      "6. Re1 b5\n",
+      "7. Bb3 d6\n",
+      "8. c3 O-O\n",
+      "9. h3 Nb8\n",
+      "10. d4 Nbd7\n",
+      "11. Nbd2 Bb7\n",
+      "12. Bc2 Re8\n",
+      "13. Nf1 Bf8\n",
+      "14. Ng3 g6\n",
+      "15. a4 c5\n",
+      "16. d5 c4\n",
+      "17. Be3 Qc7\n",
+      "18. Qd2 Nc5\n",
+      "19. Nh2 Bg7\n",
+      "20. Ng4 Nxg4\n",
+      "21. hxg4 Qd7\n",
+      "22. f3 f6\n",
+      "23. Kf2 Qf7\n",
+      "24. Rh1 Rad8\n",
+      "25. Rh3 Bc8\n",
+      "26. Rah1 h6\n",
+      "27. Bxh6 Bxh6\n",
+      "28. Rxh6 Qg7\n",
+      "29. g5 f5\n",
+      "30. exf5 Bxf5\n",
+      "31. Bxf5 gxf5\n",
+      "32. Nh5 Qf7\n",
+      "33. Nf6+ Kf8\n",
+      "34. Rh8+ Ke7\n",
+      "35. Rxe8+ Rxe8\n",
+      "36. Nxe8 Qxe8\n",
+      "37. Rh7+ Kd8\n",
+      "38. g6 Qg8\n",
+      "39. Qg5+ Kc8\n",
+      "40. Qe7 Qd8\n",
+      "41. Qxd8+ Kxd8\n",
+      "42. g7 Kc7\n",
+      "43. g8=Q+ Kb6\n",
+      "44. Qb8+ Ka5\n",
+      "45. Qd8+ Kxa4\n",
+      "46. g4 fxg4\n",
+      "47. fxg4 Kb3\n",
+      "48. g5 Kxb2\n",
+      "49. Qb6 Kxc3\n",
+      "50. Qxc5 dxc5\n",
+      "51. d6 b4\n",
+      "52. d7 b3\n",
+      "53. d8=Q b2\n",
+      "54. Qd1 b1=Q\n",
+      "55. Rxb1 Kxc4\n",
+      "56. Qc1+ Kd5\n",
+      "57. Qxc3 c4\n",
+      "58. Ke3 Kc6\n",
+      "59. Kd4 Kc7\n",
+      "60. Qxc4+ Kd6\n",
+      "61. Qc5+ Ke6\n",
+      "62. Rb6+ Kf7\n",
+      "63. Qc7+ Ke8\n",
+      "64. Rb8#\n",
       "\n",
-      "1. **Solid Development**:\n",
-      "   - **1...e5**: Aiming for control of the center and developing pieces efficiently.\n",
-      "   - **2...Nc6**: Developing the knight to a natural square, attacking the e5 pawn and preparing to bring out other pieces.\n",
+      "### Alternate Strategy\n",
       "\n",
-      "2. **Control the Center**:\n",
-      "   - **3...Nf6**: Attacking the e4 pawn and preparing to develop the other knight.\n",
-      "   - **4...d5**: If allowed, striking the center with the d5 pawn to challenge White's setup.\n",
+      "If we consider that Magnus Carlsen played the white pieces and used a typical Ruy Lopez opening, an alternate strategy could involve a different opening or a variation within the Ruy Lopez itself. For instance:\n",
       "\n",
-      "3. **Flexible Pawn Structure**:\n",
-      "   - **...a6**: Preparing for a possible b5 expansion or simply controlling the b5 square.\n",
-      "   - **...e6**: Preparing to develop the bishop to e7 and castling short.\n",
+      "1. **Alternative Opening: The Italian Game**\n",
+      "   - 1. e4 e5\n",
+      "   - 2. Nf3 Nc6\n",
+      "   - 3. Bc4 Bc5\n",
+      "   - 4. c3 Nf6\n",
+      "   - 5. d4 exd4\n",
+      "   - 6. cxd4 Bb4+\n",
+      "   - 7. Nc3 Nxe4\n",
+      "   - 8. O-O Bxc3\n",
+      "   - 9. d5 Ne7\n",
+      "   - 10. Qd3 f5\n",
+      "   - 11. bxc3 d6\n",
+      "   - 12. Nd4 O-O\n",
+      "   - 13. f3 Nc5\n",
+      "   - 14. Qc2 f4\n",
+      "   - 15. Re1 Ng6\n",
+      "   - 16. Ba3 Qg5\n",
+      "   - 17. Bxc5 dxc5\n",
+      "   - 18. Ne6 Bxe6\n",
+      "   - 19. dxe6 Ne7\n",
+      "   - 20. Rad1 Rad8\n",
+      "   - 21. Rd7 Rxd7\n",
+      "   - 22. exd7+ Kh8\n",
+      "   - 23. Qe4 Nc6\n",
+      "   - 24. Bd3 g6\n",
+      "   - 25. Qe8 Kg7\n",
+      "   - 26. Bb5 Nd8\n",
+      "   - 27. Re7+ Kh6\n",
+      "   - 28. Qxf8+ Kh5\n",
+      "   - 29. Rxh7#\n",
       "\n",
-      "4. **Counterattacks**:\n",
-      "   - **...Be7** and **...O-O**: Completing development and preparing for potential pawn breaks with ...d5 or ...f5, depending on the position.\n",
-      "   - **...Re8**: In some lines, this rook move can support a central break with ...e5 or ...f5.\n",
+      "2. **Variation in the Ruy Lopez:**\n",
+      "   - Instead of the main lines, White could opt for the \"Cozy Variation\" or the \"Deferred Steinitz Defense.\"\n",
+      "   - For example, after the initial moves:\n",
+      "     - 1. e4 e5\n",
+      "     - 2. Nf3 Nc6\n",
+      "     - 3. Bb5 a6\n",
+      "     - 4. Ba4 d6 (Deferred Steinitz Defense)\n",
+      "     - 5. c3 Bg4\n",
+      "     - 6. h3 Bh5\n",
+      "     - 7. d4 exd4\n",
+      "     - 8. cxd4 Be7\n",
+      "     - 9. Nc3 Nf6\n",
+      "     - 10. O-O O-O\n",
       "\n",
-      "### Sample Move Sequence and Plan\n",
-      "Here is a hypothetical series of moves that Magnus could employ to counter Firouzja's b3 Sicilian:\n",
-      "\n",
-      "1. e4 c5\n",
-      "2. Nf3 d6\n",
-      "3. Bb2 Nf6\n",
-      "4. Nc3 Nc6\n",
-      "5. Bb5 Bd7\n",
-      "6. O-O e6\n",
-      "7. Re1 Be7\n",
-      "8. d4 cxd4\n",
-      "9. Nxd4 O-O\n",
-      "10. Bf1 a6\n",
-      "\n",
-      "In this sequence, Black has developed all pieces harmoniously and is ready to counterattack in the center or on the queenside. The idea is to maintain solid control over the center while preparing for potential pawn breaks to disrupt White's plans.\n",
-      "\n",
-      "### Key Ideas for Magnus:\n",
-      "- **Maintain Flexibility**: Avoid committing to pawn structures too early; respond to White's setup dynamically.\n",
-      "- **Central Breaks**: Look for opportunities to break with ...d5 or ...f5 to open the position in favor of Black.\n",
-      "- **Piece Activity**: Ensure all pieces are well-placed and ready to enter the fray when the position opens up.\n",
-      "\n",
-      "This strategy allows Magnus to maintain a strong, flexible position, ready to counter Firouzja's plans effectively.\n"
+      "By varying the opening or the approach within a given opening, Carlsen could potentially avoid deep preparation by Firouzja and steer the game into less familiar territory for his opponent.\n"
      ]
     }
    ],
diff --git a/docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb b/docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb
index 9c51ccda5..33855834c 100644
--- a/docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb
+++ b/docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb
@@ -78,6 +78,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "3a0a8450",
    "metadata": {},
    "source": [
     "## Helper Files\n",
diff --git a/docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb b/docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb
index ace665df5..7db3db5bd 100644
--- a/docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb
+++ b/docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb
@@ -787,7 +787,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 25,
    "id": "4880e573-612f-4d24-97c1-2079382a4a2f",
    "metadata": {
     "ExecuteTime": {
@@ -839,7 +839,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 26,
    "id": "270ff3ae26cd42ff",
    "metadata": {
     "ExecuteTime": {
@@ -850,7 +850,7 @@
    "outputs": [
     {
      "data": {
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/docs/docs/tutorials/rag/langgraph_adaptive_rag_local.ipynb b/docs/docs/tutorials/rag/langgraph_adaptive_rag_local.ipynb
index 948255bd8..6f757ad13 100644
--- a/docs/docs/tutorials/rag/langgraph_adaptive_rag_local.ipynb
+++ b/docs/docs/tutorials/rag/langgraph_adaptive_rag_local.ipynb
@@ -110,7 +110,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 4,
    "id": "af8379bd-7eae-4ba6-b632-12e89eab9920",
    "metadata": {},
    "outputs": [],
@@ -129,19 +129,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "f9ff6b99-080d-4827-b2cb-f775543d76f5",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Downloading: 100%|██████████| 274M/274M [00:43<00:00, 6.38MiB/s] \n",
-      "Verifying: 100%|██████████| 274M/274M [00:00<00:00, 618MiB/s] \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
     "from langchain_community.document_loaders import WebBaseLoader\n",
@@ -183,18 +174,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "7045e064-e666-4aea-9111-6e9d2007f27e",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/td/vzm913rx77x21csd90g63_7c0000gn/T/ipykernel_7200/1754575056.py:22: LangChainDeprecationWarning: The method `BaseRetriever.get_relevant_documents` was deprecated in langchain-core 0.1.46 and will be removed in 1.0. Use invoke instead.\n",
-      "  docs = retriever.get_relevant_documents(question)\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -225,14 +208,14 @@
     "\n",
     "question_router = prompt | llm | JsonOutputParser()\n",
     "question = \"llm agent memory\"\n",
-    "docs = retriever.get_relevant_documents(question)\n",
+    "docs = retriever.invoke(question)\n",
     "doc_txt = docs[1].page_content\n",
     "print(question_router.invoke({\"question\": question}))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "id": "813cdcef-8b75-4214-a2ed-b89077b3d287",
    "metadata": {},
    "outputs": [
@@ -267,25 +250,17 @@
     "\n",
     "retrieval_grader = prompt | llm | JsonOutputParser()\n",
     "question = \"agent memory\"\n",
-    "docs = retriever.get_relevant_documents(question)\n",
+    "docs = retriever.invoke(question)\n",
     "doc_txt = docs[1].page_content\n",
     "print(retrieval_grader.invoke({\"question\": question, \"document\": doc_txt}))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "id": "aeb8b373-0289-4dec-bd4b-8b2701200301",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/isaachershenson/.pyenv/versions/3.11.9/lib/python3.11/site-packages/langsmith/client.py:5301: LangChainBetaWarning: The function `loads` is in beta. It is actively being worked on, so the API may change.\n",
-      "  prompt = loads(json.dumps(prompt_object.manifest))\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -526,7 +501,7 @@
     "    question = state[\"question\"]\n",
     "\n",
     "    # Retrieval\n",
-    "    documents = retriever.get_relevant_documents(question)\n",
+    "    documents = retriever.invoke(question)\n",
     "    return {\"documents\": documents, \"question\": question}\n",
     "\n",
     "\n",
diff --git a/docs/docs/tutorials/rag/langgraph_crag.ipynb b/docs/docs/tutorials/rag/langgraph_crag.ipynb
index 74b5190c9..6010035d6 100644
--- a/docs/docs/tutorials/rag/langgraph_crag.ipynb
+++ b/docs/docs/tutorials/rag/langgraph_crag.ipynb
@@ -360,7 +360,7 @@
     "    question = state[\"question\"]\n",
     "\n",
     "    # Retrieval\n",
-    "    documents = retriever.get_relevant_documents(question)\n",
+    "    documents = retriever.invoke(question)\n",
     "    return {\"documents\": documents, \"question\": question}\n",
     "\n",
     "\n",
diff --git a/docs/docs/tutorials/rag/langgraph_self_rag.ipynb b/docs/docs/tutorials/rag/langgraph_self_rag.ipynb
index f1fdaf42c..29d2cb5a1 100644
--- a/docs/docs/tutorials/rag/langgraph_self_rag.ipynb
+++ b/docs/docs/tutorials/rag/langgraph_self_rag.ipynb
@@ -445,7 +445,7 @@
     "    question = state[\"question\"]\n",
     "\n",
     "    # Retrieval\n",
-    "    documents = retriever.get_relevant_documents(question)\n",
+    "    documents = retriever.invoke(question)\n",
     "    return {\"documents\": documents, \"question\": question}\n",
     "\n",
     "\n",
diff --git a/docs/docs/tutorials/rag/langgraph_self_rag_local.ipynb b/docs/docs/tutorials/rag/langgraph_self_rag_local.ipynb
index 79826fc32..c07abe6fd 100644
--- a/docs/docs/tutorials/rag/langgraph_self_rag_local.ipynb
+++ b/docs/docs/tutorials/rag/langgraph_self_rag_local.ipynb
@@ -446,7 +446,7 @@
     "    question = state[\"question\"]\n",
     "\n",
     "    # Retrieval\n",
-    "    documents = retriever.get_relevant_documents(question)\n",
+    "    documents = retriever.invoke(question)\n",
     "    return {\"documents\": documents, \"question\": question}\n",
     "\n",
     "\n",