docs: notebook linting (#14366)

Many jupyter notebooks didn't pass linting. List of these files are presented in the [tool.ruff.lint.per-file-ignores] section of the pyproject.toml . Addressed these bugs: - fixed bugs; added missed imports; updated pyproject.toml Only the `document_loaders/tensorflow_datasets.ipyn`, `cookbook/gymnasium_agent_simulation.ipynb` are not completely fixed. I'm not sure about imports. --------- Co-authored-by: Erick Friis <erick@langchain.dev>
6 months ago · 18aba7fdef
parent 52052cc7b9
commit 18aba7fdef
38 changed files with 244 additions and 142 deletions
--- a/cookbook/multi_modal_output_agent.ipynb
+++ b/cookbook/multi_modal_output_agent.ipynb
@ -31,7 +31,7 @@
   "source": [
    "import re\n",
    "\n",
-    "from IPython.display import Image\n",
+    "from IPython.display import Image, display\n",
    "from steamship import Block, Steamship"
   ]
  },
@ -180,7 +180,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/cookbook/qianfan_baidu_elasticesearch_RAG.ipynb
+++ b/cookbook/qianfan_baidu_elasticesearch_RAG.ipynb
@ -37,7 +37,8 @@
   "source": [
    "#!pip install qianfan\n",
    "#!pip install bce-python-sdk\n",
-    "#!pip install elasticsearch == 7.11.0"
+    "#!pip install elasticsearch == 7.11.0\n",
+    "#!pip install sentence-transformers"
   ]
  },
  {
@ -54,8 +55,10 @@
   "metadata": {},
   "outputs": [],
   "source": [
+    "import sentence_transformers\n",
    "from baidubce.auth.bce_credentials import BceCredentials\n",
    "from baidubce.bce_client_configuration import BceClientConfiguration\n",
+    "from langchain.chains.retrieval_qa import RetrievalQA\n",
    "from langchain.document_loaders.baiducloud_bos_directory import BaiduBOSDirectoryLoader\n",
    "from langchain.embeddings.huggingface import HuggingFaceEmbeddings\n",
    "from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\n",
@ -161,15 +164,22 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
   "name": "python",
-   "version": "3.9.17"
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
  },
-  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
@ -177,5 +187,5 @@
  }
 },
 "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
--- a/cookbook/retrieval_in_sql.ipynb
+++ b/cookbook/retrieval_in_sql.ipynb
@ -133,7 +133,7 @@
    "from tqdm import tqdm\n",
    "\n",
    "for i in tqdm(range(len(title_embeddings))):\n",
-    "    title = titles[i].replace(\"'\", \"''\")\n",
+    "    title = song_titles[i].replace(\"'\", \"''\")\n",
    "    embedding = title_embeddings[i]\n",
    "    sql_command = (\n",
    "        f'UPDATE \"Track\" SET \"embeddings\" = ARRAY{embedding} WHERE \"Name\" ='\n",
@ -681,9 +681,9 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.18"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
--- a/cookbook/wikibase_agent.ipynb
+++ b/cookbook/wikibase_agent.ipynb
@ -187,7 +187,7 @@
    "    for key in path:\n",
    "        try:\n",
    "            current = current[key]\n",
-    "        except:\n",
+    "        except KeyError:\n",
    "            return None\n",
    "    return current\n",
    "\n",
--- a/docs/docs/expression_language/how_to/fallbacks.ipynb
+++ b/docs/docs/expression_language/how_to/fallbacks.ipynb
@ -91,7 +91,7 @@
    "with patch(\"openai.resources.chat.completions.Completions.create\", side_effect=error):\n",
    "    try:\n",
    "        print(openai_llm.invoke(\"Why did the chicken cross the road?\"))\n",
-    "    except:\n",
+    "    except RateLimitError:\n",
    "        print(\"Hit error\")"
   ]
  },
@ -114,7 +114,7 @@
    "with patch(\"openai.resources.chat.completions.Completions.create\", side_effect=error):\n",
    "    try:\n",
    "        print(llm.invoke(\"Why did the chicken cross the road?\"))\n",
-    "    except:\n",
+    "    except RateLimitError:\n",
    "        print(\"Hit error\")"
   ]
  },
@ -156,7 +156,7 @@
    "with patch(\"openai.resources.chat.completions.Completions.create\", side_effect=error):\n",
    "    try:\n",
    "        print(chain.invoke({\"animal\": \"kangaroo\"}))\n",
-    "    except:\n",
+    "    except RateLimitError:\n",
    "        print(\"Hit error\")"
   ]
  },
@ -190,10 +190,10 @@
    ")\n",
    "\n",
    "chain = prompt | llm\n",
-    "with patch(\"openai.ChatCompletion.create\", side_effect=error):\n",
+    "with patch(\"openai.resources.chat.completions.Completions.create\", side_effect=error):\n",
    "    try:\n",
    "        print(chain.invoke({\"animal\": \"kangaroo\"}))\n",
-    "    except:\n",
+    "    except RateLimitError:\n",
    "        print(\"Hit error\")"
   ]
  },
@ -291,7 +291,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/guides/fallbacks.ipynb
+++ b/docs/docs/guides/fallbacks.ipynb
@ -93,7 +93,7 @@
    "with patch(\"openai.resources.chat.completions.Completions.create\", side_effect=error):\n",
    "    try:\n",
    "        print(openai_llm.invoke(\"Why did the chicken cross the road?\"))\n",
-    "    except:\n",
+    "    except RateLimitError:\n",
    "        print(\"Hit error\")"
   ]
  },
@ -116,7 +116,7 @@
    "with patch(\"openai.resources.chat.completions.Completions.create\", side_effect=error):\n",
    "    try:\n",
    "        print(llm.invoke(\"Why did the chicken cross the road?\"))\n",
-    "    except:\n",
+    "    except RateLimitError:\n",
    "        print(\"Hit error\")"
   ]
  },
@ -158,7 +158,7 @@
    "with patch(\"openai.resources.chat.completions.Completions.create\", side_effect=error):\n",
    "    try:\n",
    "        print(chain.invoke({\"animal\": \"kangaroo\"}))\n",
-    "    except:\n",
+    "    except RateLimitError:\n",
    "        print(\"Hit error\")"
   ]
  },
--- a/docs/docs/integrations/chat/google_vertex_ai_palm.ipynb
+++ b/docs/docs/integrations/chat/google_vertex_ai_palm.ipynb
@ -45,7 +45,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
@ -55,7 +55,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
@ -64,7 +64,7 @@
       "AIMessage(content=\" J'aime la programmation.\")"
      ]
     },
-     "execution_count": 3,
+     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
@ -89,7 +89,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
@ -98,7 +98,7 @@
       "AIMessage(content=' プログラミングが大好きです')"
      ]
     },
-     "execution_count": 4,
+     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
@ -142,7 +142,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
   "metadata": {
    "tags": []
   },
@ -198,7 +198,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
@ -212,7 +212,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
@ -221,12 +221,17 @@
       "AIMessage(content=' Why do you love programming?')"
      ]
     },
-     "execution_count": 7,
+     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
+    "system = (\n",
+    "    \"You are a helpful assistant that translates {input_language} to {output_language}.\"\n",
+    ")\n",
+    "human = \"{text}\"\n",
+    "prompt = ChatPromptTemplate.from_messages([(\"system\", system), (\"human\", human)])\n",
    "chain = prompt | chat\n",
    "\n",
    "asyncio.run(\n",
@ -251,7 +256,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
--- a/docs/docs/integrations/chat/promptlayer_chatopenai.ipynb
+++ b/docs/docs/integrations/chat/promptlayer_chatopenai.ipynb
@ -129,12 +129,6 @@
    "**The above request should now appear on your [PromptLayer dashboard](https://www.promptlayer.com).**"
   ]
  },
-  {
-   "cell_type": "markdown",
-   "id": "05e9e2fe",
-   "metadata": {},
-   "source": []
-  },
  {
   "attachments": {},
   "cell_type": "markdown",
@ -152,6 +146,8 @@
   "metadata": {},
   "outputs": [],
   "source": [
+    "import promptlayer\n",
+    "\n",
    "chat = PromptLayerChatOpenAI(return_pl_id=True)\n",
    "chat_results = chat.generate([[HumanMessage(content=\"I am a cat and I want\")]])\n",
    "\n",
@ -172,7 +168,7 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "base",
+   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
@ -186,7 +182,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.8 (default, Apr 13 2021, 12:59:45) \n[Clang 10.0.0 ]"
+   "version": "3.10.12"
  },
  "vscode": {
   "interpreter": {
--- a/docs/docs/integrations/chat_loaders/imessage.ipynb
+++ b/docs/docs/integrations/chat_loaders/imessage.ipynb
@ -153,7 +153,7 @@
   "source": [
    "# Now all of the Tortoise's messages will take the AI message class\n",
    "# which maps to the 'assistant' role in OpenAI's training format\n",
-    "alternating_sessions[0][\"messages\"][:3]"
+    "chat_sessions[0][\"messages\"][:3]"
   ]
  },
  {
@ -191,7 +191,7 @@
    }
   ],
   "source": [
-    "training_data = convert_messages_for_finetuning(alternating_sessions)\n",
+    "training_data = convert_messages_for_finetuning(chat_sessions)\n",
    "print(f\"Prepared {len(training_data)} dialogues for training\")"
   ]
  },
@ -416,7 +416,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/integrations/document_loaders/arcgis.ipynb
+++ b/docs/docs/integrations/document_loaders/arcgis.ipynb
@ -23,8 +23,18 @@
   "source": [
    "from langchain.document_loaders import ArcGISLoader\n",
    "\n",
-    "url = \"https://maps1.vcgov.org/arcgis/rest/services/Beaches/MapServer/7\"\n",
-    "loader = ArcGISLoader(url)"
+    "URL = \"https://maps1.vcgov.org/arcgis/rest/services/Beaches/MapServer/7\"\n",
+    "loader = ArcGISLoader(URL)\n",
+    "\n",
+    "docs = loader.load()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e174ebd-bbbd-4a66-a644-51e0df12982d",
+   "metadata": {},
+   "source": [
+    "Let's measure loader latency."
   ]
  },
  {
@ -261,7 +271,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "loader_geom = ArcGISLoader(url, return_geometry=True)"
+    "loader_geom = ArcGISLoader(URL, return_geometry=True)"
   ]
  },
  {
--- a/docs/docs/integrations/document_loaders/datadog_logs.ipynb
+++ b/docs/docs/integrations/document_loaders/datadog_logs.ipynb
@ -30,6 +30,16 @@
    "#!pip install datadog-api-client"
   ]
  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "DD_API_KEY = \"...\"\n",
+    "DD_APP_KEY = \"...\""
+   ]
+  },
  {
   "cell_type": "code",
   "execution_count": null,
@ -73,7 +83,7 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
@ -87,10 +97,9 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.9.11"
-  },
-  "orig_nbformat": 4
+   "version": "3.10.12"
+  }
 },
 "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
--- a/docs/docs/integrations/document_loaders/etherscan.ipynb
+++ b/docs/docs/integrations/document_loaders/etherscan.ipynb
@ -65,6 +65,16 @@
    "%pip install langchain -q"
   ]
  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ab73cc1-d8e0-4b6d-bb03-9522b112fce5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "etherscanAPIKey = \"...\""
+   ]
+  },
  {
   "cell_type": "code",
   "execution_count": 1,
--- a/docs/docs/integrations/document_loaders/larksuite.ipynb
+++ b/docs/docs/integrations/document_loaders/larksuite.ipynb
@ -74,7 +74,9 @@
   "source": [
    "# see https://python.langchain.com/docs/use_cases/summarization for more details\n",
    "from langchain.chains.summarize import load_summarize_chain\n",
+    "from langchain.llms.fake import FakeListLLM\n",
    "\n",
+    "llm = FakeListLLM()\n",
    "chain = load_summarize_chain(llm, chain_type=\"map_reduce\")\n",
    "chain.run(docs)"
   ]
@ -96,7 +98,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/integrations/document_loaders/tensorflow_datasets.ipynb
+++ b/docs/docs/integrations/document_loaders/tensorflow_datasets.ipynb
@ -166,6 +166,9 @@
    }
   ],
   "source": [
+    "from langchain_core.documents import Document\n",
+    "\n",
+    "\n",
    "def decode_to_str(item: tf.Tensor) -> str:\n",
    "    return item.numpy().decode(\"utf-8\")\n",
    "\n",
--- a/docs/docs/integrations/llms/anyscale.ipynb
+++ b/docs/docs/integrations/llms/anyscale.ipynb
@ -12,6 +12,18 @@
    "This example goes over how to use LangChain to interact with [Anyscale Endpoint](https://app.endpoints.anyscale.com/). "
   ]
  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "515070aa-e241-480e-8d9a-afdf52f35322",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ANYSCALE_API_BASE = \"...\"\n",
+    "ANYSCALE_API_KEY = \"...\"\n",
+    "ANYSCALE_MODEL_NAME = \"...\""
+   ]
+  },
  {
   "cell_type": "code",
   "execution_count": null,
@ -160,7 +172,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.10.12"
  },
  "vscode": {
   "interpreter": {
--- a/docs/docs/integrations/llms/bittensor.ipynb
+++ b/docs/docs/integrations/llms/bittensor.ipynb
@ -112,6 +112,24 @@
    "##  Using NIBittensorLLM with Conversational Agent and Google Search Tool"
   ]
  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.tools import Tool\n",
+    "from langchain.utilities import GoogleSearchAPIWrapper\n",
+    "\n",
+    "search = GoogleSearchAPIWrapper()\n",
+    "\n",
+    "tool = Tool(\n",
+    "    name=\"Google Search\",\n",
+    "    description=\"Search Google for recent results.\",\n",
+    "    func=search.run,\n",
+    ")"
+   ]
+  },
  {
   "cell_type": "code",
   "execution_count": null,
@ -129,7 +147,7 @@
    "\n",
    "memory = ConversationBufferMemory(memory_key=\"chat_history\")\n",
    "\n",
-    "\n",
+    "tools = [tool]\n",
    "prefix = \"\"\"Answer prompt based on LLM if there is need to search something then use internet and observe internet result and give accurate reply of user questions also try to use authenticated sources\"\"\"\n",
    "suffix = \"\"\"Begin!\n",
    "            {chat_history}\n",
@ -137,14 +155,14 @@
    "            {agent_scratchpad}\"\"\"\n",
    "\n",
    "prompt = ZeroShotAgent.create_prompt(\n",
-    "    tools,\n",
+    "    tools=tools,\n",
    "    prefix=prefix,\n",
    "    suffix=suffix,\n",
    "    input_variables=[\"input\", \"chat_history\", \"agent_scratchpad\"],\n",
    ")\n",
    "\n",
    "llm = NIBittensorLLM(\n",
-    "    system_prompt=\"Your task is to determine response based on user prompt\"\n",
+    "    system_prompt=\"Your task is to determine a response based on user prompt\"\n",
    ")\n",
    "\n",
    "llm_chain = LLMChain(llm=llm, prompt=prompt)\n",
@ -176,7 +194,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.10.1"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/integrations/llms/databricks.ipynb
+++ b/docs/docs/integrations/llms/databricks.ipynb
@ -33,7 +33,13 @@
    "\n",
    "```\n",
    "pip install mlflow>=2.9\n",
-    "```"
+    "```\n",
+    "\n",
+    "Also, we need `dbutils` for this example.\n",
+    "\n",
+    "```\n",
+    "pip install dbutils\n",
+    "```\n"
   ]
  },
  {
@ -269,6 +275,8 @@
    "\n",
    "import os\n",
    "\n",
+    "import dbutils\n",
+    "\n",
    "os.environ[\"DATABRICKS_TOKEN\"] = dbutils.secrets.get(\"myworkspace\", \"api_token\")\n",
    "\n",
    "llm = Databricks(host=\"myworkspace.cloud.databricks.com\", endpoint_name=\"dolly\")\n",
@ -606,7 +614,7 @@
   "widgets": {}
  },
  "kernelspec": {
-   "display_name": "llm",
+   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
@ -620,10 +628,9 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.9.18"
-  },
-  "orig_nbformat": 4
+   "version": "3.10.12"
+  }
 },
 "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 4
 }
--- a/docs/docs/integrations/llms/llm_caching.ipynb
+++ b/docs/docs/integrations/llms/llm_caching.ipynb
@ -28,7 +28,6 @@
   "cell_type": "markdown",
   "id": "b50f0598",
   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
@ -113,7 +112,6 @@
   "cell_type": "markdown",
   "id": "4bf59c12",
   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
@ -231,6 +229,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
+    "import langchain\n",
    "from langchain.cache import UpstashRedisCache\n",
    "from upstash_redis import Redis\n",
    "\n",
@ -1589,7 +1588,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.10.1"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/integrations/llms/runhouse.ipynb
+++ b/docs/docs/integrations/llms/runhouse.ipynb
@ -289,7 +289,7 @@
   "source": [
    "pipeline = load_pipeline()\n",
    "llm = SelfHostedPipeline.from_pipeline(\n",
-    "    pipeline=pipeline, hardware=gpu, model_reqs=model_reqs\n",
+    "    pipeline=pipeline, hardware=gpu, model_reqs=[\"pip:./\", \"transformers\", \"torch\"]\n",
    ")"
   ]
  },
@ -308,6 +308,8 @@
   "metadata": {},
   "outputs": [],
   "source": [
+    "import pickle\n",
+    "\n",
    "rh.blob(pickle.dumps(pipeline), path=\"models/pipeline.pkl\").save().to(\n",
    "    gpu, path=\"models\"\n",
    ")\n",
@ -332,7 +334,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/integrations/retrievers/Activeloop
+++ b/docs/docs/integrations/retrievers/Activeloop
@ -54,6 +54,15 @@
    "Also you'll need to create a [Activeloop]((https://activeloop.ai/)) account."
   ]
  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ORG_ID = \"...\""
+   ]
+  },
  {
   "cell_type": "code",
   "execution_count": null,
--- a/docs/docs/integrations/text_embedding/elasticsearch.ipynb
+++ b/docs/docs/integrations/text_embedding/elasticsearch.ipynb
@ -160,6 +160,8 @@
   "outputs": [],
   "source": [
    "# Create Elasticsearch connection\n",
+    "from elasticsearch import Elasticsearch\n",
+    "\n",
    "es_connection = Elasticsearch(\n",
    "    hosts=[\"https://es_cluster_url:port\"], basic_auth=(\"user\", \"password\")\n",
    ")"
@ -259,9 +261,9 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
-}
+}
--- a/docs/docs/integrations/text_embedding/embaas.ipynb
+++ b/docs/docs/integrations/text_embedding/embaas.ipynb
@ -20,6 +20,8 @@
   "metadata": {},
   "outputs": [],
   "source": [
+    "import os\n",
+    "\n",
    "# Set API key\n",
    "embaas_api_key = \"YOUR_API_KEY\"\n",
    "# or set environment variable\n",
@ -139,9 +141,9 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
 }
--- a/docs/docs/integrations/text_embedding/localai.ipynb
+++ b/docs/docs/integrations/text_embedding/localai.ipynb
@ -131,6 +131,8 @@
   "metadata": {},
   "outputs": [],
   "source": [
+    "import os\n",
+    "\n",
    "# if you are behind an explicit proxy, you can use the OPENAI_PROXY environment variable to pass through\n",
    "os.environ[\"OPENAI_PROXY\"] = \"http://proxy.yourcompany.com:8080\""
   ]
@ -138,7 +140,7 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3.11.1 64-bit",
+   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
@ -152,7 +154,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.1"
+   "version": "3.10.12"
  },
  "vscode": {
   "interpreter": {
--- a/docs/docs/integrations/text_embedding/openai.ipynb
+++ b/docs/docs/integrations/text_embedding/openai.ipynb
@ -225,6 +225,8 @@
   "metadata": {},
   "outputs": [],
   "source": [
+    "import os\n",
+    "\n",
    "# if you are behind an explicit proxy, you can use the OPENAI_PROXY environment variable to pass through\n",
    "os.environ[\"OPENAI_PROXY\"] = \"http://proxy.yourcompany.com:8080\""
   ]
@ -246,7 +248,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.10.12"
  },
  "vscode": {
   "interpreter": {
--- a/docs/docs/integrations/tools/dalle_image_generator.ipynb
+++ b/docs/docs/integrations/tools/dalle_image_generator.ipynb
@ -101,8 +101,10 @@
    "# Or you can try the options below to display the image inline in this notebook\n",
    "\n",
    "try:\n",
+    "    import google.colab\n",
+    "\n",
    "    IN_COLAB = True\n",
-    "except:\n",
+    "except ImportError:\n",
    "    IN_COLAB = False\n",
    "\n",
    "if IN_COLAB:\n",
--- a/docs/docs/integrations/tools/google_search.ipynb
+++ b/docs/docs/integrations/tools/google_search.ipynb
@ -187,7 +187,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.10.12"
  },
  "vscode": {
   "interpreter": {
--- a/docs/docs/integrations/tools/gradio_tools.ipynb
+++ b/docs/docs/integrations/tools/gradio_tools.ipynb
@ -104,6 +104,8 @@
   },
   "outputs": [],
   "source": [
+    "from IPython.display import display\n",
+    "\n",
    "display(im)"
   ]
  },
@ -232,7 +234,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/integrations/vectorstores/awadb.ipynb
+++ b/docs/docs/integrations/vectorstores/awadb.ipynb
@ -145,6 +145,8 @@
   "metadata": {},
   "outputs": [],
   "source": [
+    "import awadb\n",
+    "\n",
    "awadb_client = awadb.Client()\n",
    "ret = awadb_client.Load(\"langchain_awadb\")\n",
    "if ret:\n",
@ -178,7 +180,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/integrations/vectorstores/baiducloud_vector_search.ipynb
+++ b/docs/docs/integrations/vectorstores/baiducloud_vector_search.ipynb
@ -78,6 +78,7 @@
   "outputs": [],
   "source": [
    "from langchain.document_loaders import TextLoader\n",
+    "from langchain.text_splitter import CharacterTextSplitter\n",
    "\n",
    "loader = TextLoader(\"../../../state_of_the_union.txt\")\n",
    "documents = loader.load()\n",
@ -145,15 +146,22 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
   "name": "python",
-   "version": "3.9.17"
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
  },
-  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
@ -161,5 +169,5 @@
  }
 },
 "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
--- a/docs/docs/integrations/vectorstores/mongodb_atlas.ipynb
+++ b/docs/docs/integrations/vectorstores/mongodb_atlas.ipynb
@ -52,6 +52,9 @@
   "metadata": {},
   "outputs": [],
   "source": [
+    "import getpass\n",
+    "import os\n",
+    "\n",
    "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")"
   ]
  },
--- a/docs/docs/integrations/vectorstores/nucliadb.ipynb
+++ b/docs/docs/integrations/vectorstores/nucliadb.ipynb
@ -99,7 +99,7 @@
   "outputs": [],
   "source": [
    "results = ndb.similarity_search(\"Who was inspired by Ada Lovelace?\")\n",
-    "print(res.page_content)"
+    "print(results[0].page_content)"
   ]
  }
 ],
@ -119,7 +119,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/integrations/vectorstores/opensearch.ipynb
+++ b/docs/docs/integrations/vectorstores/opensearch.ipynb
@ -344,7 +344,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "#!pip install requests requests-aws4auth"
+    "#!pip install boto3 requests requests-aws4auth"
   ]
  },
  {
@ -362,6 +362,8 @@
   },
   "outputs": [],
   "source": [
+    "import boto3\n",
+    "from opensearchpy import RequestsHttpConnection\n",
    "from requests_aws4auth import AWS4Auth\n",
    "\n",
    "service = \"aoss\"  # must set the service as 'aoss'\n",
@ -404,6 +406,16 @@
    "## Using AOS (Amazon OpenSearch Service)"
   ]
  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b02cd8d-f182-476b-935a-737f9c05d8e4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#!pip install boto3"
+   ]
+  },
  {
   "cell_type": "code",
   "execution_count": null,
@ -419,7 +431,9 @@
   },
   "outputs": [],
   "source": [
-    "# This is just an example to show how to use AOS , you need to set proper values.\n",
+    "# This is just an example to show how to use Amazon OpenSearch Service, you need to set proper values.\n",
+    "import boto3\n",
+    "from opensearchpy import RequestsHttpConnection\n",
    "\n",
    "service = \"es\"  # must set the service as 'es'\n",
    "region = \"us-east-2\"\n",
--- a/docs/docs/modules/agents/agent_types/chat_conversation_agent.ipynb
+++ b/docs/docs/modules/agents/agent_types/chat_conversation_agent.ipynb
@ -13,6 +13,16 @@
    "We want it to be much more conversational."
   ]
  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7b9e9ef1-dc3c-4253-bd8b-5e95637bfe33",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "OPENAI_API_KEY = \"...\""
+   ]
+  },
  {
   "cell_type": "code",
   "execution_count": 1,
@ -575,7 +585,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.10.1"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/modules/chains/how_to/call_methods.ipynb
+++ b/docs/docs/modules/chains/how_to/call_methods.ipynb
@ -27,6 +27,10 @@
    }
   ],
   "source": [
+    "from langchain.chains.llm import LLMChain\n",
+    "from langchain.chat_models.openai import ChatOpenAI\n",
+    "from langchain_core.prompts import PromptTemplate\n",
+    "\n",
    "chat = ChatOpenAI(temperature=0)\n",
    "prompt_template = \"Tell me a {adjective} joke\"\n",
    "llm_chain = LLMChain(llm=chat, prompt=PromptTemplate.from_template(prompt_template))\n",
@ -174,7 +178,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.10.12"
  },
  "vscode": {
   "interpreter": {
--- a/docs/docs/modules/data_connection/retrievers/ensemble.ipynb
+++ b/docs/docs/modules/data_connection/retrievers/ensemble.ipynb
@ -19,6 +19,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
+    "from langchain.embeddings import OpenAIEmbeddings\n",
    "from langchain.retrievers import BM25Retriever, EnsembleRetriever\n",
    "from langchain.vectorstores import FAISS"
   ]
@ -81,7 +82,7 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
@ -95,10 +96,9 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.10.8"
-  },
-  "orig_nbformat": 4
+   "version": "3.10.12"
+  }
 },
 "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
--- a/docs/docs/modules/data_connection/retrievers/multi_vector.ipynb
+++ b/docs/docs/modules/data_connection/retrievers/multi_vector.ipynb
@ -55,8 +55,8 @@
    "    TextLoader(\"../../state_of_the_union.txt\"),\n",
    "]\n",
    "docs = []\n",
-    "for l in loaders:\n",
-    "    docs.extend(l.load())\n",
+    "for loader in loaders:\n",
+    "    docs.extend(loader.load())\n",
    "text_splitter = RecursiveCharacterTextSplitter(chunk_size=10000)\n",
    "docs = text_splitter.split_documents(docs)"
   ]
@ -601,7 +601,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/docs/docs/modules/data_connection/retrievers/parent_document_retriever.ipynb
+++ b/docs/docs/modules/data_connection/retrievers/parent_document_retriever.ipynb
@ -61,8 +61,8 @@
    "    TextLoader(\"../../state_of_the_union.txt\"),\n",
    "]\n",
    "docs = []\n",
-    "for l in loaders:\n",
-    "    docs.extend(l.load())"
+    "for loader in loaders:\n",
+    "    docs.extend(loader.load())"
   ]
  },
  {
@ -432,7 +432,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.10.12"
  }
 },
 "nbformat": 4,
--- a/pyproject.toml
+++ b/pyproject.toml
@ -74,48 +74,5 @@ extend-exclude = [
 # These files were failing the listed rules at the time ruff was adopted for notebooks.
 # Don't require them to change at once, though we should look into them eventually.
 "cookbook/gymnasium_agent_simulation.ipynb" = ["F821"]
-"cookbook/multi_modal_output_agent.ipynb" = ["F821"]
-"cookbook/multi_modal_RAG_chroma.ipynb" = ["F821"]
-"cookbook/qianfan_baidu_elasticesearch_RAG.ipynb" = ["F821"]
-"cookbook/retrieval_in_sql.ipynb" = ["F821"]
-"cookbook/wikibase_agent.ipynb" = ["E722"]
-"docs/docs/expression_language/how_to/configure.ipynb" = ["F821"]
-"docs/docs/expression_language/how_to/fallbacks.ipynb" = ["E722"]
-"docs/docs/guides/fallbacks.ipynb" = ["E722"]
-"docs/docs/integrations/chat_loaders/imessage.ipynb" = ["F821"]
-"docs/docs/integrations/chat_loaders/langsmith_dataset.ipynb" = ["F821"]
-"docs/docs/integrations/chat/google_vertex_ai_palm.ipynb" = ["F821"]
-"docs/docs/integrations/chat/promptlayer_chatopenai.ipynb" = ["F821"]
-"docs/docs/integrations/document_loaders/arcgis.ipynb" = ["F821"]
-"docs/docs/integrations/document_loaders/datadog_logs.ipynb" = ["F821"]
-"docs/docs/integrations/document_loaders/embaas.ipynb" = ["F821"]
-"docs/docs/integrations/document_loaders/etherscan.ipynb" = ["F821"]
-"docs/docs/integrations/document_loaders/larksuite.ipynb" = ["F821"]
 "docs/docs/integrations/document_loaders/tensorflow_datasets.ipynb" = ["F821"]
-"docs/docs/integrations/llms/anyscale.ipynb" = ["F821"]
-"docs/docs/integrations/llms/bittensor.ipynb" = ["F821"]
-"docs/docs/integrations/llms/databricks.ipynb" = ["F821"]
-"docs/docs/integrations/llms/llm_caching.ipynb" = ["F821"]
-"docs/docs/integrations/llms/runhouse.ipynb" = ["F821"]
-"docs/docs/integrations/retrievers/Activeloop DeepMemory+LangChain.ipynb" = ["F821"]
-"docs/docs/integrations/text_embedding/cohere.ipynb" = ["F821"]
-"docs/docs/integrations/text_embedding/elasticsearch.ipynb" = ["F821"]
-"docs/docs/integrations/text_embedding/embaas.ipynb" = ["F821"]
-"docs/docs/integrations/text_embedding/jina.ipynb" = ["F821"]
-"docs/docs/integrations/text_embedding/localai.ipynb" = ["F821"]
-"docs/docs/integrations/text_embedding/openai.ipynb" = ["F821"]
-"docs/docs/integrations/tools/dalle_image_generator.ipynb" = ["E722"]
-"docs/docs/integrations/tools/gradio_tools.ipynb" = ["F821"]
-"docs/docs/integrations/vectorstores/async_faiss.ipynb" = ["F821"]
-"docs/docs/integrations/vectorstores/awadb.ipynb" = ["F821"]
-"docs/docs/integrations/vectorstores/baiducloud_vector_search.ipynb" = ["F821"]
-"docs/docs/integrations/vectorstores/faiss.ipynb" = ["F821"]
-"docs/docs/integrations/vectorstores/mongodb_atlas.ipynb" = ["F821"]
-"docs/docs/integrations/vectorstores/nucliadb.ipynb" = ["F821"]
-"docs/docs/integrations/vectorstores/opensearch.ipynb" = ["F821"]
-"docs/docs/modules/agents/agent_types/chat_conversation_agent.ipynb" = ["F821"]
-"docs/docs/modules/chains/how_to/call_methods.ipynb" = ["F821"]
-"docs/docs/modules/data_connection/retrievers/ensemble.ipynb" = ["F821"]
-"docs/docs/modules/data_connection/retrievers/multi_vector.ipynb" = ["E741"]
-"docs/docs/modules/data_connection/retrievers/parent_document_retriever.ipynb" = ["E741"]
-"docs/docs/modules/data_connection/text_embedding/caching_embeddings.ipynb" = ["F821"]
+