diff --git a/docs/docs/integrations/chat_loaders/imessage.ipynb b/docs/docs/integrations/chat_loaders/imessage.ipynb
index b07bdb77aa..3e6e3a941c 100644
--- a/docs/docs/integrations/chat_loaders/imessage.ipynb
+++ b/docs/docs/integrations/chat_loaders/imessage.ipynb
@@ -243,16 +243,16 @@
     "    my_file.write((json.dumps({\"messages\": m}) + \"\\n\").encode(\"utf-8\"))\n",
     "\n",
     "my_file.seek(0)\n",
-    "training_file = openai.File.create(file=my_file, purpose=\"fine-tune\")\n",
+    "training_file = openai.files.create(file=my_file, purpose=\"fine-tune\")\n",
     "\n",
     "# OpenAI audits each training file for compliance reasons.\n",
     "# This make take a few minutes\n",
-    "status = openai.File.retrieve(training_file.id).status\n",
+    "status = openai.files.retrieve(training_file.id).status\n",
     "start_time = time.time()\n",
     "while status != \"processed\":\n",
     "    print(f\"Status=[{status}]... {time.time() - start_time:.2f}s\", end=\"\\r\", flush=True)\n",
     "    time.sleep(5)\n",
-    "    status = openai.File.retrieve(training_file.id).status\n",
+    "    status = openai.files.retrieve(training_file.id).status\n",
     "print(f\"File {training_file.id} ready after {time.time() - start_time:.2f} seconds.\")"
    ]
   },
@@ -271,7 +271,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "job = openai.FineTuningJob.create(\n",
+    "job = openai.fine_tuning.jobs.create(\n",
     "    training_file=training_file.id,\n",
     "    model=\"gpt-3.5-turbo\",\n",
     ")"
@@ -300,12 +300,12 @@
     }
    ],
    "source": [
-    "status = openai.FineTuningJob.retrieve(job.id).status\n",
+    "status = openai.fine_tuning.jobs.retrieve(job.id).status\n",
     "start_time = time.time()\n",
     "while status != \"succeeded\":\n",
     "    print(f\"Status=[{status}]... {time.time() - start_time:.2f}s\", end=\"\\r\", flush=True)\n",
     "    time.sleep(5)\n",
-    "    job = openai.FineTuningJob.retrieve(job.id)\n",
+    "    job = openai.fine_tuning.jobs.retrieve(job.id)\n",
     "    status = job.status"
    ]
   },
@@ -416,7 +416,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.2"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/chat_loaders/langsmith_dataset.ipynb b/docs/docs/integrations/chat_loaders/langsmith_dataset.ipynb
index 43c974dbd1..7782f03bbf 100644
--- a/docs/docs/integrations/chat_loaders/langsmith_dataset.ipynb
+++ b/docs/docs/integrations/chat_loaders/langsmith_dataset.ipynb
@@ -123,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 6,
    "id": "817bc077-c18a-473b-94a4-a7d810d583a8",
    "metadata": {},
    "outputs": [],
@@ -145,7 +145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 7,
    "id": "9e5ac127-b094-4584-9159-5a6d3d7315c7",
    "metadata": {},
    "outputs": [],
@@ -166,7 +166,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "11d19e28-be49-4801-8065-1a58d13cd192",
    "metadata": {},
    "outputs": [
@@ -174,7 +174,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Status=[running]... 302.42s. 143.85s\r"
+      "Status=[running]... 429.55s. 46.34s\r"
      ]
     }
    ],
@@ -190,20 +190,20 @@
     "    my_file.write((json.dumps({\"messages\": dialog}) + \"\\n\").encode(\"utf-8\"))\n",
     "\n",
     "my_file.seek(0)\n",
-    "training_file = openai.File.create(file=my_file, purpose=\"fine-tune\")\n",
+    "training_file = openai.files.create(file=my_file, purpose=\"fine-tune\")\n",
     "\n",
-    "job = openai.FineTuningJob.create(\n",
+    "job = openai.fine_tuning.jobs.create(\n",
     "    training_file=training_file.id,\n",
     "    model=\"gpt-3.5-turbo\",\n",
     ")\n",
     "\n",
     "# Wait for the fine-tuning to complete (this may take some time)\n",
-    "status = openai.FineTuningJob.retrieve(job.id).status\n",
+    "status = openai.fine_tuning.jobs.retrieve(job.id).status\n",
     "start_time = time.time()\n",
     "while status != \"succeeded\":\n",
     "    print(f\"Status=[{status}]... {time.time() - start_time:.2f}s\", end=\"\\r\", flush=True)\n",
     "    time.sleep(5)\n",
-    "    status = openai.FineTuningJob.retrieve(job.id).status\n",
+    "    status = openai.fine_tuning.jobs.retrieve(job.id).status\n",
     "\n",
     "# Now your model is fine-tuned!"
    ]
@@ -220,16 +220,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "id": "3f472ca4-fa9b-485d-bd37-8ce3c59c44db",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Get the fine-tuned model ID\n",
-    "job = openai.FineTuningJob.retrieve(job.id)\n",
+    "job = openai.fine_tuning.jobs.retrieve(job.id)\n",
     "model_id = job.fine_tuned_model\n",
     "\n",
     "# Use the fine-tuned model in LangChain\n",
+    "from langchain.chat_models import ChatOpenAI\n",
+    "\n",
     "model = ChatOpenAI(\n",
     "    model=model_id,\n",
     "    temperature=1,\n",
@@ -238,10 +240,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "7d3b5845-6385-42d1-9f7d-5ea798dc2cd9",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "AIMessage(content='[{\"s\": \"There were three ravens\", \"object\": \"tree\", \"relation\": \"sat on\"}, {\"s\": \"three ravens\", \"object\": \"a tree\", \"relation\": \"sat on\"}]')"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "model.invoke(\"There were three ravens sat on a tree.\")"
    ]
@@ -271,7 +284,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/chat_loaders/langsmith_llm_runs.ipynb b/docs/docs/integrations/chat_loaders/langsmith_llm_runs.ipynb
index 4fd4f8d2cf..cae7535545 100644
--- a/docs/docs/integrations/chat_loaders/langsmith_llm_runs.ipynb
+++ b/docs/docs/integrations/chat_loaders/langsmith_llm_runs.ipynb
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "473adce5-c863-49e6-85c3-049e0ec2222e",
    "metadata": {},
    "outputs": [],
@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "9a36d27f-2f3b-4148-b94a-9436fe8b00e0",
    "metadata": {},
    "outputs": [],
@@ -105,7 +105,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "89bcc676-27e8-40dc-a4d6-92cf28e0db58",
    "metadata": {},
    "outputs": [
@@ -144,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "cd44ff01-22cf-431a-8bf4-29a758d1fcff",
    "metadata": {},
    "outputs": [],
@@ -169,18 +169,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "62da7d8f-5cfc-45a6-946e-2bcda2b0ba1f",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised ServiceUnavailableError: The server is overloaded or not ready yet..\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "math_questions = [\n",
     "    \"What's 45/9?\",\n",
@@ -219,7 +211,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "d6037992-050d-4ada-a061-860c124f0bf1",
    "metadata": {},
    "outputs": [],
@@ -231,7 +223,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "0444919a-6f5a-4726-9916-4603b1420d0e",
    "metadata": {},
    "outputs": [],
@@ -266,7 +258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "817bc077-c18a-473b-94a4-a7d810d583a8",
    "metadata": {},
    "outputs": [],
@@ -288,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "9e5ac127-b094-4584-9159-5a6d3d7315c7",
    "metadata": {},
    "outputs": [],
@@ -309,7 +301,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "11d19e28-be49-4801-8065-1a58d13cd192",
    "metadata": {},
    "outputs": [
@@ -317,7 +309,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Status=[running]... 346.26s. 31.70s\r"
+      "Status=[running]... 349.84s. 17.72s\r"
      ]
     }
    ],
@@ -333,20 +325,20 @@
     "    my_file.write((json.dumps({\"messages\": dialog}) + \"\\n\").encode(\"utf-8\"))\n",
     "\n",
     "my_file.seek(0)\n",
-    "training_file = openai.File.create(file=my_file, purpose=\"fine-tune\")\n",
+    "training_file = openai.files.create(file=my_file, purpose=\"fine-tune\")\n",
     "\n",
-    "job = openai.FineTuningJob.create(\n",
+    "job = openai.fine_tuning.jobs.create(\n",
     "    training_file=training_file.id,\n",
     "    model=\"gpt-3.5-turbo\",\n",
     ")\n",
     "\n",
     "# Wait for the fine-tuning to complete (this may take some time)\n",
-    "status = openai.FineTuningJob.retrieve(job.id).status\n",
+    "status = openai.fine_tuning.jobs.retrieve(job.id).status\n",
     "start_time = time.time()\n",
     "while status != \"succeeded\":\n",
     "    print(f\"Status=[{status}]... {time.time() - start_time:.2f}s\", end=\"\\r\", flush=True)\n",
     "    time.sleep(5)\n",
-    "    status = openai.FineTuningJob.retrieve(job.id).status\n",
+    "    status = openai.fine_tuning.jobs.retrieve(job.id).status\n",
     "\n",
     "# Now your model is fine-tuned!"
    ]
@@ -363,16 +355,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "7f45b281-1dfa-43cb-bd28-99fa7e9f45d1",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Get the fine-tuned model ID\n",
-    "job = openai.FineTuningJob.retrieve(job.id)\n",
+    "job = openai.fine_tuning.jobs.retrieve(job.id)\n",
     "model_id = job.fine_tuned_model\n",
     "\n",
     "# Use the fine-tuned model in LangChain\n",
+    "from langchain.chat_models import ChatOpenAI\n",
+    "\n",
     "model = ChatOpenAI(\n",
     "    model=model_id,\n",
     "    temperature=1,\n",
@@ -381,17 +375,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 12,
    "id": "7d3b5845-6385-42d1-9f7d-5ea798dc2cd9",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "AIMessage(content='{\\n  \"num1\": 56,\\n  \"num2\": 7,\\n  \"operation\": \"/\"\\n}')"
+       "AIMessage(content='Let me calculate that for you.')"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -425,7 +419,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,