langchain[patch]: bump community >=0.0.8,<0.1 (#15492)

<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
  - **Description:** a description of the change, 
  - **Issue:** the issue # it fixes (if applicable),
  - **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!

Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.

See contribution guidelines for more information on how to write/run
tests, lint, etc:

https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md

If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in `docs/extras`
directory.

If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
 -->

Removes unused `Params` in `libs/langchain/langchain/llms/mlflow.py`.

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>

.github/workflows/_release.yml

@@ -159,6 +159,12 @@ jobs:
         run: make integration_tests
         working-directory: ${{ inputs.working-directory }}
 
+      - name: Run unit tests with minimum dependency versions
+        if: ${{ (inputs.working-directory == 'libs/langchain') || (inputs.working-directory == 'libs/community') || (inputs.working-directory == 'libs/experimental') }}
+        run: |
+          poetry run pip install -r _test_minimum_requirements.txt
+          make tests
+        working-directory: ${{ inputs.working-directory }}
 
   publish:
     needs:

cookbook/LLaMA2_sql_chat.ipynb

@@ -61,13 +61,13 @@
    ],
    "source": [
     "# Local\n",
-    "from langchain.chat_models import ChatOllama\n",
+    "from langchain_community.chat_models import ChatOllama\n",
     "\n",
     "llama2_chat = ChatOllama(model=\"llama2:13b-chat\")\n",
     "llama2_code = ChatOllama(model=\"codellama:7b-instruct\")\n",
     "\n",
     "# API\n",
-    "from langchain.llms import Replicate\n",
+    "from langchain_community.llms import Replicate\n",
     "\n",
     "# REPLICATE_API_TOKEN = getpass()\n",
     "# os.environ[\"REPLICATE_API_TOKEN\"] = REPLICATE_API_TOKEN\n",
@@ -107,7 +107,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.utilities import SQLDatabase\n",
+    "from langchain_community.utilities import SQLDatabase\n",
     "\n",
     "db = SQLDatabase.from_uri(\"sqlite:///nba_roster.db\", sample_rows_in_table_info=0)\n",
     "\n",

cookbook/Multi_modal_RAG.ipynb

@@ -101,7 +101,7 @@
     "If you want to use the provided folder, then simply opt for a [pdf loader](https://python.langchain.com/docs/modules/data_connection/document_loaders/pdf) for the document:\n",
     "\n",
     "```\n",
-    "from langchain.document_loaders import PyPDFLoader\n",
+    "from langchain_community.document_loaders import PyPDFLoader\n",
     "loader = PyPDFLoader(path + fname)\n",
     "docs = loader.load()\n",
     "tables = [] # Ignore w/ basic pdf loader\n",
@@ -198,8 +198,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "\n",
     "\n",
@@ -353,10 +353,10 @@
    "source": [
     "import uuid\n",
     "\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
-    "from langchain.vectorstores import Chroma\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_core.documents import Document\n",
     "\n",
     "\n",

cookbook/Multi_modal_RAG_google.ipynb

@@ -93,7 +93,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.document_loaders import PyPDFLoader\n",
+    "from langchain_community.document_loaders import PyPDFLoader\n",
     "\n",
     "loader = PyPDFLoader(\"./cj/cj.pdf\")\n",
     "docs = loader.load()\n",
@@ -158,11 +158,11 @@
     }
    ],
    "source": [
-    "from langchain.chat_models import ChatVertexAI\n",
-    "from langchain.llms import VertexAI\n",
     "from langchain.prompts import PromptTemplate\n",
-    "from langchain.schema.output_parser import StrOutputParser\n",
+    "from langchain_community.chat_models import ChatVertexAI\n",
+    "from langchain_community.llms import VertexAI\n",
     "from langchain_core.messages import AIMessage\n",
+    "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnableLambda\n",
     "\n",
     "\n",
@@ -243,7 +243,7 @@
     "import base64\n",
     "import os\n",
     "\n",
-    "from langchain.schema.messages import HumanMessage\n",
+    "from langchain_core.messages import HumanMessage\n",
     "\n",
     "\n",
     "def encode_image(image_path):\n",
@@ -342,11 +342,11 @@
    "source": [
     "import uuid\n",
     "\n",
-    "from langchain.embeddings import VertexAIEmbeddings\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
-    "from langchain.schema.document import Document\n",
     "from langchain.storage import InMemoryStore\n",
-    "from langchain.vectorstores import Chroma\n",
+    "from langchain_community.embeddings import VertexAIEmbeddings\n",
+    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_core.documents import Document\n",
     "\n",
     "\n",
     "def create_multi_vector_retriever(\n",
@@ -440,7 +440,7 @@
     "import re\n",
     "\n",
     "from IPython.display import HTML, display\n",
-    "from langchain.schema.runnable import RunnableLambda, RunnablePassthrough\n",
+    "from langchain_core.runnables import RunnableLambda, RunnablePassthrough\n",
     "from PIL import Image\n",
     "\n",
     "\n",

cookbook/Semi_Structured_RAG.ipynb

@@ -235,8 +235,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser"
    ]
   },
@@ -318,10 +318,10 @@
    "source": [
     "import uuid\n",
     "\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
-    "from langchain.vectorstores import Chroma\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_core.documents import Document\n",
     "\n",
     "# The vectorstore to use to index the child chunks\n",

cookbook/Semi_structured_and_multi_modal_RAG.ipynb

@@ -211,8 +211,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser"
    ]
   },
@@ -373,10 +373,10 @@
    "source": [
     "import uuid\n",
     "\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
-    "from langchain.vectorstores import Chroma\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_core.documents import Document\n",
     "\n",
     "# The vectorstore to use to index the child chunks\n",

cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb

@@ -209,8 +209,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOllama\n",
     "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOllama\n",
     "from langchain_core.output_parsers import StrOutputParser"
    ]
   },
@@ -376,10 +376,10 @@
    "source": [
     "import uuid\n",
     "\n",
-    "from langchain.embeddings import GPT4AllEmbeddings\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
-    "from langchain.vectorstores import Chroma\n",
+    "from langchain_community.embeddings import GPT4AllEmbeddings\n",
+    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_core.documents import Document\n",
     "\n",
     "# The vectorstore to use to index the child chunks\n",

cookbook/advanced_rag_eval.ipynb

@@ -62,7 +62,7 @@
     "path = \"/Users/rlm/Desktop/cpi/\"\n",
     "\n",
     "# Load\n",
-    "from langchain.document_loaders import PyPDFLoader\n",
+    "from langchain_community.document_loaders import PyPDFLoader\n",
     "\n",
     "loader = PyPDFLoader(path + \"cpi.pdf\")\n",
     "pdf_pages = loader.load()\n",
@@ -132,8 +132,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.embeddings import OpenAIEmbeddings\n",
-    "from langchain.vectorstores import Chroma\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import Chroma\n",
     "\n",
     "baseline = Chroma.from_texts(\n",
     "    texts=all_splits_pypdf_texts,\n",
@@ -160,8 +160,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "\n",
     "# Prompt\n",

cookbook/agent_vectorstore.ipynb

@@ -28,10 +28,10 @@
    "outputs": [],
    "source": [
     "from langchain.chains import RetrievalQA\n",
-    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.text_splitter import CharacterTextSplitter\n",
-    "from langchain.vectorstores import Chroma\n",
+    "from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.vectorstores import Chroma\n",
     "\n",
     "llm = OpenAI(temperature=0)"
    ]
@@ -69,7 +69,7 @@
     }
    ],
    "source": [
-    "from langchain.document_loaders import TextLoader\n",
+    "from langchain_community.document_loaders import TextLoader\n",
     "\n",
     "loader = TextLoader(doc_path)\n",
     "documents = loader.load()\n",
@@ -99,7 +99,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.document_loaders import WebBaseLoader"
+    "from langchain_community.document_loaders import WebBaseLoader"
    ]
   },
   {
@@ -161,7 +161,7 @@
    "source": [
     "# Import things that are needed generically\n",
     "from langchain.agents import AgentType, Tool, initialize_agent\n",
-    "from langchain.llms import OpenAI"
+    "from langchain_community.llms import OpenAI"
    ]
   },
   {

cookbook/analyze_document.ipynb

@@ -29,7 +29,7 @@
    "outputs": [],
    "source": [
     "from langchain.chains import AnalyzeDocumentChain\n",
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "llm = ChatOpenAI(model=\"gpt-3.5-turbo\", temperature=0)"
    ]

cookbook/autogpt/autogpt.ipynb

@@ -28,9 +28,9 @@
    "outputs": [],
    "source": [
     "from langchain.agents import Tool\n",
-    "from langchain.tools.file_management.read import ReadFileTool\n",
-    "from langchain.tools.file_management.write import WriteFileTool\n",
-    "from langchain.utilities import SerpAPIWrapper\n",
+    "from langchain_community.tools.file_management.read import ReadFileTool\n",
+    "from langchain_community.tools.file_management.write import WriteFileTool\n",
+    "from langchain_community.utilities import SerpAPIWrapper\n",
     "\n",
     "search = SerpAPIWrapper()\n",
     "tools = [\n",
@@ -62,8 +62,8 @@
    "outputs": [],
    "source": [
     "from langchain.docstore import InMemoryDocstore\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
-    "from langchain.vectorstores import FAISS"
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS"
    ]
   },
   {
@@ -100,7 +100,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_experimental.autonomous_agents import AutoGPT"
    ]
   },
@@ -167,7 +167,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.memory.chat_message_histories import FileChatMessageHistory\n",
+    "from langchain_community.chat_message_histories import FileChatMessageHistory\n",
     "\n",
     "agent = AutoGPT.from_llm_and_tools(\n",
     "    ai_name=\"Tom\",\n",

cookbook/autogpt/marathon_times.ipynb

@@ -39,9 +39,9 @@
     "\n",
     "import nest_asyncio\n",
     "import pandas as pd\n",
-    "from langchain.agents.agent_toolkits.pandas.base import create_pandas_dataframe_agent\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.docstore.document import Document\n",
+    "from langchain_community.agent_toolkits.pandas.base import create_pandas_dataframe_agent\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_experimental.autonomous_agents import AutoGPT\n",
     "\n",
     "# Needed synce jupyter runs an async eventloop\n",
@@ -93,8 +93,8 @@
     "from typing import Optional\n",
     "\n",
     "from langchain.agents import tool\n",
-    "from langchain.tools.file_management.read import ReadFileTool\n",
-    "from langchain.tools.file_management.write import WriteFileTool\n",
+    "from langchain_community.tools.file_management.read import ReadFileTool\n",
+    "from langchain_community.tools.file_management.write import WriteFileTool\n",
     "\n",
     "ROOT_DIR = \"./data/\"\n",
     "\n",
@@ -311,8 +311,8 @@
     "# Memory\n",
     "import faiss\n",
     "from langchain.docstore import InMemoryDocstore\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
-    "from langchain.vectorstores import FAISS\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS\n",
     "\n",
     "embeddings_model = OpenAIEmbeddings()\n",
     "embedding_size = 1536\n",

cookbook/baby_agi.ipynb

@@ -31,8 +31,8 @@
    "source": [
     "from typing import Optional\n",
     "\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.llms import OpenAI\n",
     "from langchain_experimental.autonomous_agents import BabyAGI"
    ]
   },
@@ -54,7 +54,7 @@
    "outputs": [],
    "source": [
     "from langchain.docstore import InMemoryDocstore\n",
-    "from langchain.vectorstores import FAISS"
+    "from langchain_community.vectorstores import FAISS"
    ]
   },
   {

cookbook/baby_agi_with_agent.ipynb

@@ -28,9 +28,9 @@
     "from typing import Optional\n",
     "\n",
     "from langchain.chains import LLMChain\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.prompts import PromptTemplate\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.llms import OpenAI\n",
     "from langchain_experimental.autonomous_agents import BabyAGI"
    ]
   },
@@ -63,7 +63,7 @@
     "%pip install faiss-cpu > /dev/null\n",
     "%pip install google-search-results > /dev/null\n",
     "from langchain.docstore import InMemoryDocstore\n",
-    "from langchain.vectorstores import FAISS"
+    "from langchain_community.vectorstores import FAISS"
    ]
   },
   {
@@ -108,8 +108,8 @@
    "source": [
     "from langchain.agents import AgentExecutor, Tool, ZeroShotAgent\n",
     "from langchain.chains import LLMChain\n",
-    "from langchain.llms import OpenAI\n",
-    "from langchain.utilities import SerpAPIWrapper\n",
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import SerpAPIWrapper\n",
     "\n",
     "todo_prompt = PromptTemplate.from_template(\n",
     "    \"You are a planner who is an expert at coming up with a todo list for a given objective. Come up with a todo list for this objective: {objective}\"\n",

cookbook/camel_role_playing.ipynb

@@ -36,7 +36,6 @@
    "source": [
     "from typing import List\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts.chat import (\n",
     "    HumanMessagePromptTemplate,\n",
     "    SystemMessagePromptTemplate,\n",
@@ -46,7 +45,8 @@
     "    BaseMessage,\n",
     "    HumanMessage,\n",
     "    SystemMessage,\n",
-    ")"
+    ")\n",
+    "from langchain_community.chat_models import ChatOpenAI"
    ]
   },
   {

cookbook/causal_program_aided_language_model.ipynb

@@ -47,7 +47,7 @@
    "outputs": [],
    "source": [
     "from IPython.display import SVG\n",
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "from langchain_experimental.cpal.base import CPALChain\n",
     "from langchain_experimental.pal_chain import PALChain\n",
     "\n",

cookbook/code-analysis-deeplake.ipynb

@@ -23,9 +23,9 @@
    "metadata": {},
    "source": [
     "1. Prepare data:\n",
-    "   1. Upload all python project files using the `langchain.document_loaders.TextLoader`. We will call these files the **documents**.\n",
+    "   1. Upload all python project files using the `langchain_community.document_loaders.TextLoader`. We will call these files the **documents**.\n",
     "   2. Split all documents to chunks using the `langchain.text_splitter.CharacterTextSplitter`.\n",
-    "   3. Embed chunks and upload them into the DeepLake using `langchain.embeddings.openai.OpenAIEmbeddings` and `langchain.vectorstores.DeepLake`\n",
+    "   3. Embed chunks and upload them into the DeepLake using `langchain.embeddings.openai.OpenAIEmbeddings` and `langchain_community.vectorstores.DeepLake`\n",
     "2. Question-Answering:\n",
     "   1. Build a chain from `langchain.chat_models.ChatOpenAI` and `langchain.chains.ConversationalRetrievalChain`\n",
     "   2. Prepare questions.\n",
@@ -166,7 +166,7 @@
     }
    ],
    "source": [
-    "from langchain.document_loaders import TextLoader\n",
+    "from langchain_community.document_loaders import TextLoader\n",
     "\n",
     "root_dir = \"../../../../../../libs\"\n",
     "\n",
@@ -657,7 +657,7 @@
     }
    ],
    "source": [
-    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
+    "from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
     "\n",
     "embeddings = OpenAIEmbeddings()\n",
     "embeddings"
@@ -706,7 +706,7 @@
     {
      "data": {
       "text/plain": [
-       "<langchain.vectorstores.deeplake.DeepLake at 0x7fe1b67d7a30>"
+       "<langchain_community.vectorstores.deeplake.DeepLake at 0x7fe1b67d7a30>"
       ]
      },
      "execution_count": 15,
@@ -715,7 +715,7 @@
     }
    ],
    "source": [
-    "from langchain.vectorstores import DeepLake\n",
+    "from langchain_community.vectorstores import DeepLake\n",
     "\n",
     "username = \"<USERNAME_OR_ORG>\"\n",
     "\n",
@@ -740,7 +740,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# from langchain.vectorstores import DeepLake\n",
+    "# from langchain_community.vectorstores import DeepLake\n",
     "\n",
     "# db = DeepLake.from_documents(\n",
     "#     texts, embeddings, dataset_path=f\"hub://{<org_id>}/langchain-code\", runtime={\"tensor_db\": True}\n",
@@ -834,7 +834,7 @@
    "outputs": [],
    "source": [
     "from langchain.chains import ConversationalRetrievalChain\n",
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "model = ChatOpenAI(\n",
     "    model_name=\"gpt-3.5-turbo-0613\"\n",

cookbook/custom_agent_with_plugin_retrieval.ipynb

@@ -40,12 +40,12 @@
     "    AgentOutputParser,\n",
     "    LLMSingleActionAgent,\n",
     ")\n",
-    "from langchain.agents.agent_toolkits import NLAToolkit\n",
     "from langchain.chains import LLMChain\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.prompts import StringPromptTemplate\n",
     "from langchain.schema import AgentAction, AgentFinish\n",
-    "from langchain.tools.plugin import AIPlugin"
+    "from langchain_community.agent_toolkits import NLAToolkit\n",
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.tools.plugin import AIPlugin"
    ]
   },
   {
@@ -114,9 +114,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.schema import Document\n",
-    "from langchain.vectorstores import FAISS"
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS"
    ]
   },
   {

cookbook/custom_agent_with_plugin_retrieval_using_plugnplai.ipynb

@@ -65,12 +65,12 @@
     "    AgentOutputParser,\n",
     "    LLMSingleActionAgent,\n",
     ")\n",
-    "from langchain.agents.agent_toolkits import NLAToolkit\n",
     "from langchain.chains import LLMChain\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.prompts import StringPromptTemplate\n",
     "from langchain.schema import AgentAction, AgentFinish\n",
-    "from langchain.tools.plugin import AIPlugin"
+    "from langchain_community.agent_toolkits import NLAToolkit\n",
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.tools.plugin import AIPlugin"
    ]
   },
   {
@@ -138,9 +138,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.schema import Document\n",
-    "from langchain.vectorstores import FAISS"
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS"
    ]
   },
   {

cookbook/custom_agent_with_tool_retrieval.ipynb

@@ -39,10 +39,10 @@
     "    Tool,\n",
     ")\n",
     "from langchain.chains import LLMChain\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.prompts import StringPromptTemplate\n",
     "from langchain.schema import AgentAction, AgentFinish\n",
-    "from langchain.utilities import SerpAPIWrapper"
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import SerpAPIWrapper"
    ]
   },
   {
@@ -103,9 +103,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.schema import Document\n",
-    "from langchain.vectorstores import FAISS"
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS"
    ]
   },
   {

cookbook/custom_multi_action_agent.ipynb

@@ -26,7 +26,7 @@
    "outputs": [],
    "source": [
     "from langchain.agents import AgentExecutor, BaseMultiActionAgent, Tool\n",
-    "from langchain.utilities import SerpAPIWrapper"
+    "from langchain_community.utilities import SerpAPIWrapper"
    ]
   },
   {

cookbook/databricks_sql_db.ipynb

@@ -80,7 +80,7 @@
    "outputs": [],
    "source": [
     "# Connecting to Databricks with SQLDatabase wrapper\n",
-    "from langchain.utilities import SQLDatabase\n",
+    "from langchain_community.utilities import SQLDatabase\n",
     "\n",
     "db = SQLDatabase.from_databricks(catalog=\"samples\", schema=\"nyctaxi\")"
    ]
@@ -93,7 +93,7 @@
    "outputs": [],
    "source": [
     "# Creating a OpenAI Chat LLM wrapper\n",
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "llm = ChatOpenAI(temperature=0, model_name=\"gpt-4\")"
    ]
@@ -115,7 +115,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.utilities import SQLDatabaseChain\n",
+    "from langchain_community.utilities import SQLDatabaseChain\n",
     "\n",
     "db_chain = SQLDatabaseChain.from_llm(llm, db, verbose=True)"
    ]
@@ -177,7 +177,7 @@
    "outputs": [],
    "source": [
     "from langchain.agents import create_sql_agent\n",
-    "from langchain.agents.agent_toolkits import SQLDatabaseToolkit\n",
+    "from langchain_community.agent_toolkits import SQLDatabaseToolkit\n",
     "\n",
     "toolkit = SQLDatabaseToolkit(db=db, llm=llm)\n",
     "agent = create_sql_agent(llm=llm, toolkit=toolkit, verbose=True)"

cookbook/deeplake_semantic_search_over_chat.ipynb

@@ -52,13 +52,13 @@
     "import os\n",
     "\n",
     "from langchain.chains import RetrievalQA\n",
-    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.text_splitter import (\n",
     "    CharacterTextSplitter,\n",
     "    RecursiveCharacterTextSplitter,\n",
     ")\n",
-    "from langchain.vectorstores import DeepLake\n",
+    "from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.vectorstores import DeepLake\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
     "activeloop_token = getpass.getpass(\"Activeloop Token:\")\n",

cookbook/docugami_xml_kg_rag.ipynb

@@ -470,12 +470,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import (\n",
     "    ChatPromptTemplate,\n",
     "    HumanMessagePromptTemplate,\n",
     "    SystemMessagePromptTemplate,\n",
     ")\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser"
    ]
   },
@@ -545,10 +545,10 @@
    "source": [
     "import uuid\n",
     "\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
-    "from langchain.vectorstores.chroma import Chroma\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores.chroma import Chroma\n",
     "from langchain_core.documents import Document\n",
     "\n",
     "\n",

cookbook/elasticsearch_db_qa.ipynb

@@ -39,7 +39,7 @@
    "source": [
     "from elasticsearch import Elasticsearch\n",
     "from langchain.chains.elasticsearch_database import ElasticsearchDatabaseChain\n",
-    "from langchain.chat_models import ChatOpenAI"
+    "from langchain_community.chat_models import ChatOpenAI"
    ]
   },
   {

cookbook/extraction_openai_tools.ipynb

@@ -22,7 +22,7 @@
     "from typing import List, Optional\n",
     "\n",
     "from langchain.chains.openai_tools import create_extraction_chain_pydantic\n",
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.pydantic_v1 import BaseModel"
    ]
   },

cookbook/fake_llm.ipynb

@@ -20,7 +20,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.llms.fake import FakeListLLM"
+    "from langchain_community.llms.fake import FakeListLLM"
    ]
   },
   {

cookbook/forward_looking_retrieval_augmented_generation.ipynb

@@ -73,10 +73,10 @@
     "    AsyncCallbackManagerForRetrieverRun,\n",
     "    CallbackManagerForRetrieverRun,\n",
     ")\n",
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.schema import BaseRetriever, Document\n",
-    "from langchain.utilities import GoogleSerperAPIWrapper"
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import GoogleSerperAPIWrapper"
    ]
   },
   {

cookbook/generative_agents_interactive_simulacra_of_human_behavior.ipynb

@@ -47,11 +47,11 @@
     "from datetime import datetime, timedelta\n",
     "from typing import List\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.docstore import InMemoryDocstore\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.retrievers import TimeWeightedVectorStoreRetriever\n",
-    "from langchain.vectorstores import FAISS\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS\n",
     "from termcolor import colored"
    ]
   },

cookbook/hugginggpt.ipynb

@@ -75,7 +75,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "from langchain_experimental.autonomous_agents import HuggingGPT\n",
     "\n",
     "# %env OPENAI_API_BASE=http://localhost:8000/v1"

cookbook/human_approval.ipynb

@@ -159,7 +159,7 @@
    "outputs": [],
    "source": [
     "from langchain.agents import AgentType, initialize_agent, load_tools\n",
-    "from langchain.llms import OpenAI"
+    "from langchain_community.llms import OpenAI"
    ]
   },
   {

cookbook/human_input_chat_model.ipynb

@@ -20,7 +20,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models.human import HumanInputChatModel"
+    "from langchain_community.chat_models.human import HumanInputChatModel"
    ]
   },
   {

cookbook/human_input_llm.ipynb

@@ -19,7 +19,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.llms.human import HumanInputLLM"
+    "from langchain_community.llms.human import HumanInputLLM"
    ]
   },
   {

cookbook/hypothetical_document_embeddings.ipynb

@@ -21,9 +21,9 @@
    "outputs": [],
    "source": [
     "from langchain.chains import HypotheticalDocumentEmbedder, LLMChain\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
-    "from langchain.llms import OpenAI\n",
-    "from langchain.prompts import PromptTemplate"
+    "from langchain.prompts import PromptTemplate\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.llms import OpenAI"
    ]
   },
   {
@@ -172,7 +172,7 @@
    "outputs": [],
    "source": [
     "from langchain.text_splitter import CharacterTextSplitter\n",
-    "from langchain.vectorstores import Chroma\n",
+    "from langchain_community.vectorstores import Chroma\n",
     "\n",
     "with open(\"../../state_of_the_union.txt\") as f:\n",
     "    state_of_the_union = f.read()\n",

cookbook/learned_prompt_optimization.ipynb

@@ -49,7 +49,7 @@
    "source": [
     "# pick and configure the LLM of your choice\n",
     "\n",
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "\n",
     "llm = OpenAI(model=\"gpt-3.5-turbo-instruct\")"
    ]

cookbook/llm_bash.ipynb

@@ -43,7 +43,7 @@
     }
    ],
    "source": [
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "from langchain_experimental.llm_bash.base import LLMBashChain\n",
     "\n",
     "llm = OpenAI(temperature=0)\n",

cookbook/llm_checker.ipynb

@@ -42,7 +42,7 @@
    ],
    "source": [
     "from langchain.chains import LLMCheckerChain\n",
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "\n",
     "llm = OpenAI(temperature=0.7)\n",
     "\n",

cookbook/llm_math.ipynb

@@ -46,7 +46,7 @@
    ],
    "source": [
     "from langchain.chains import LLMMathChain\n",
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "\n",
     "llm = OpenAI(temperature=0)\n",
     "llm_math = LLMMathChain.from_llm(llm, verbose=True)\n",

cookbook/llm_summarization_checker.ipynb

@@ -331,7 +331,7 @@
    ],
    "source": [
     "from langchain.chains import LLMSummarizationCheckerChain\n",
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "\n",
     "llm = OpenAI(temperature=0)\n",
     "checker_chain = LLMSummarizationCheckerChain.from_llm(llm, verbose=True, max_checks=2)\n",
@@ -822,7 +822,7 @@
    ],
    "source": [
     "from langchain.chains import LLMSummarizationCheckerChain\n",
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "\n",
     "llm = OpenAI(temperature=0)\n",
     "checker_chain = LLMSummarizationCheckerChain.from_llm(llm, verbose=True, max_checks=3)\n",
@@ -1096,7 +1096,7 @@
    ],
    "source": [
     "from langchain.chains import LLMSummarizationCheckerChain\n",
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "\n",
     "llm = OpenAI(temperature=0)\n",
     "checker_chain = LLMSummarizationCheckerChain.from_llm(llm, max_checks=3, verbose=True)\n",

cookbook/llm_symbolic_math.ipynb

@@ -14,7 +14,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "from langchain_experimental.llm_symbolic_math.base import LLMSymbolicMathChain\n",
     "\n",
     "llm = OpenAI(temperature=0)\n",

cookbook/meta_prompt.ipynb

@@ -57,9 +57,9 @@
    "outputs": [],
    "source": [
     "from langchain.chains import LLMChain\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.memory import ConversationBufferWindowMemory\n",
-    "from langchain.prompts import PromptTemplate"
+    "from langchain.prompts import PromptTemplate\n",
+    "from langchain_community.llms import OpenAI"
    ]
   },
   {

cookbook/multi_modal_QA.ipynb

@@ -91,7 +91,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.messages import HumanMessage, SystemMessage"
    ]
   },

cookbook/multi_modal_RAG_chroma.ipynb

@@ -187,7 +187,7 @@
     "\n",
     "import chromadb\n",
     "import numpy as np\n",
-    "from langchain.vectorstores import Chroma\n",
+    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_experimental.open_clip import OpenCLIPEmbeddings\n",
     "from PIL import Image as _PILImage\n",
     "\n",
@@ -315,7 +315,7 @@
    "source": [
     "from operator import itemgetter\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.messages import HumanMessage, SystemMessage\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnableLambda, RunnablePassthrough\n",

cookbook/multi_modal_output_agent.ipynb

@@ -43,8 +43,8 @@
    "outputs": [],
    "source": [
     "from langchain.agents import AgentType, initialize_agent\n",
-    "from langchain.llms import OpenAI\n",
-    "from langchain.tools import SteamshipImageGenerationTool"
+    "from langchain.tools import SteamshipImageGenerationTool\n",
+    "from langchain_community.llms import OpenAI"
    ]
   },
   {

cookbook/multi_player_dnd.ipynb

@@ -28,11 +28,11 @@
    "source": [
     "from typing import Callable, List\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.schema import (\n",
     "    HumanMessage,\n",
     "    SystemMessage,\n",
-    ")"
+    ")\n",
+    "from langchain_community.chat_models import ChatOpenAI"
    ]
   },
   {

cookbook/multiagent_authoritarian.ipynb

@@ -33,7 +33,6 @@
     "from typing import Callable, List\n",
     "\n",
     "import tenacity\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.output_parsers import RegexParser\n",
     "from langchain.prompts import (\n",
     "    PromptTemplate,\n",
@@ -41,7 +40,8 @@
     "from langchain.schema import (\n",
     "    HumanMessage,\n",
     "    SystemMessage,\n",
-    ")"
+    ")\n",
+    "from langchain_community.chat_models import ChatOpenAI"
    ]
   },
   {

cookbook/multiagent_bidding.ipynb

@@ -27,13 +27,13 @@
     "from typing import Callable, List\n",
     "\n",
     "import tenacity\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.output_parsers import RegexParser\n",
     "from langchain.prompts import PromptTemplate\n",
     "from langchain.schema import (\n",
     "    HumanMessage,\n",
     "    SystemMessage,\n",
-    ")"
+    ")\n",
+    "from langchain_community.chat_models import ChatOpenAI"
    ]
   },
   {

cookbook/myscale_vector_sql.ipynb

@@ -31,9 +31,9 @@
     "from os import environ\n",
     "\n",
     "from langchain.chains import LLMChain\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.prompts import PromptTemplate\n",
-    "from langchain.utilities import SQLDatabase\n",
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import SQLDatabase\n",
     "from langchain_experimental.sql.vector_sql import VectorSQLDatabaseChain\n",
     "from sqlalchemy import MetaData, create_engine\n",
     "\n",
@@ -57,7 +57,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.embeddings import HuggingFaceInstructEmbeddings\n",
+    "from langchain_community.embeddings import HuggingFaceInstructEmbeddings\n",
     "from langchain_experimental.sql.vector_sql import VectorSQLOutputParser\n",
     "\n",
     "output_parser = VectorSQLOutputParser.from_embeddings(\n",
@@ -75,8 +75,8 @@
    "outputs": [],
    "source": [
     "from langchain.callbacks import StdOutCallbackHandler\n",
-    "from langchain.llms import OpenAI\n",
-    "from langchain.utilities.sql_database import SQLDatabase\n",
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities.sql_database import SQLDatabase\n",
     "from langchain_experimental.sql.prompt import MYSCALE_PROMPT\n",
     "from langchain_experimental.sql.vector_sql import VectorSQLDatabaseChain\n",
     "\n",
@@ -117,7 +117,7 @@
    "outputs": [],
    "source": [
     "from langchain.chains.qa_with_sources.retrieval import RetrievalQAWithSourcesChain\n",
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_experimental.retrievers.vector_sql_database import (\n",
     "    VectorSQLDatabaseChainRetriever,\n",
     ")\n",

cookbook/openai_functions_retrieval_qa.ipynb

@@ -20,10 +20,10 @@
    "outputs": [],
    "source": [
     "from langchain.chains import RetrievalQA\n",
-    "from langchain.document_loaders import TextLoader\n",
-    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
     "from langchain.text_splitter import CharacterTextSplitter\n",
-    "from langchain.vectorstores import Chroma"
+    "from langchain_community.document_loaders import TextLoader\n",
+    "from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import Chroma"
    ]
   },
   {
@@ -52,8 +52,8 @@
    "source": [
     "from langchain.chains import create_qa_with_sources_chain\n",
     "from langchain.chains.combine_documents.stuff import StuffDocumentsChain\n",
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.prompts import PromptTemplate"
+    "from langchain.prompts import PromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI"
    ]
   },
   {

cookbook/openai_v1_cookbook.ipynb

@@ -28,7 +28,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.messages import HumanMessage, SystemMessage"
    ]
   },
@@ -414,7 +414,7 @@
     "BREAKING CHANGES:\n",
     "- To use Azure embeddings with OpenAI V1, you'll need to use the new `AzureOpenAIEmbeddings` instead of the existing `OpenAIEmbeddings`. `OpenAIEmbeddings` continue to work when using Azure with `openai<1`.\n",
     "```python\n",
-    "from langchain.embeddings import AzureOpenAIEmbeddings\n",
+    "from langchain_community.embeddings import AzureOpenAIEmbeddings\n",
     "```\n",
     "\n",
     "\n",

cookbook/petting_zoo.ipynb

@@ -47,12 +47,12 @@
     "import inspect\n",
     "\n",
     "import tenacity\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.output_parsers import RegexParser\n",
     "from langchain.schema import (\n",
     "    HumanMessage,\n",
     "    SystemMessage,\n",
-    ")"
+    ")\n",
+    "from langchain_community.chat_models import ChatOpenAI"
    ]
   },
   {

cookbook/plan_and_execute_agent.ipynb

@@ -30,9 +30,9 @@
    "outputs": [],
    "source": [
     "from langchain.chains import LLMMathChain\n",
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.llms import OpenAI\n",
-    "from langchain.utilities import DuckDuckGoSearchAPIWrapper\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import DuckDuckGoSearchAPIWrapper\n",
     "from langchain_core.tools import Tool\n",
     "from langchain_experimental.plan_and_execute import (\n",
     "    PlanAndExecute,\n",

cookbook/press_releases.ipynb

@@ -81,8 +81,8 @@
    "outputs": [],
    "source": [
     "from langchain.chains import ConversationalRetrievalChain\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.retrievers import KayAiRetriever\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "model = ChatOpenAI(model_name=\"gpt-3.5-turbo\")\n",
     "retriever = KayAiRetriever.create(\n",

cookbook/program_aided_language_model.ipynb

@@ -17,7 +17,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "from langchain_experimental.pal_chain import PALChain"
    ]
   },

cookbook/qa_citations.ipynb

@@ -27,7 +27,7 @@
    ],
    "source": [
     "from langchain.chains import create_citation_fuzzy_match_chain\n",
-    "from langchain.chat_models import ChatOpenAI"
+    "from langchain_community.chat_models import ChatOpenAI"
    ]
   },
   {

cookbook/qianfan_baidu_elasticesearch_RAG.ipynb

@@ -59,11 +59,13 @@
     "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",
     "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
-    "from langchain.vectorstores import BESVectorStore"
+    "from langchain_community.document_loaders.baiducloud_bos_directory import (\n",
+    "    BaiduBOSDirectoryLoader,\n",
+    ")\n",
+    "from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings\n",
+    "from langchain_community.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\n",
+    "from langchain_community.vectorstores import BESVectorStore"
    ]
   },
   {

cookbook/rag_fusion.ipynb

@@ -30,8 +30,8 @@
    "outputs": [],
    "source": [
     "import pinecone\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
-    "from langchain.vectorstores import Pinecone\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import Pinecone\n",
     "\n",
     "pinecone.init(api_key=\"...\", environment=\"...\")"
    ]
@@ -86,7 +86,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser"
    ]
   },

cookbook/retrieval_in_sql.ipynb

@@ -42,8 +42,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.sql_database import SQLDatabase\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "CONNECTION_STRING = \"postgresql+psycopg2://postgres:test@localhost:5432/vectordb\"  # Replace with your own\n",
     "db = SQLDatabase.from_uri(CONNECTION_STRING)"
@@ -88,7 +88,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
     "\n",
     "embeddings_model = OpenAIEmbeddings()"
    ]
@@ -267,7 +267,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnablePassthrough\n",
     "\n",

cookbook/rewrite.ipynb

@@ -31,9 +31,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
-    "from langchain.utilities import DuckDuckGoSearchAPIWrapper\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.utilities import DuckDuckGoSearchAPIWrapper\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnablePassthrough"
    ]

cookbook/sales_agent_with_context.ipynb

@@ -49,14 +49,14 @@
     "from langchain.agents.conversational.prompt import FORMAT_INSTRUCTIONS\n",
     "from langchain.chains import LLMChain, RetrievalQA\n",
     "from langchain.chains.base import Chain\n",
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
-    "from langchain.llms import BaseLLM, OpenAI\n",
     "from langchain.prompts import PromptTemplate\n",
     "from langchain.prompts.base import StringPromptTemplate\n",
     "from langchain.schema import AgentAction, AgentFinish\n",
     "from langchain.text_splitter import CharacterTextSplitter\n",
-    "from langchain.vectorstores import Chroma\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
+    "from langchain_community.llms import BaseLLM, OpenAI\n",
+    "from langchain_community.vectorstores import Chroma\n",
     "from pydantic import BaseModel, Field"
    ]
   },

cookbook/selecting_llms_based_on_context_length.ipynb

@@ -17,8 +17,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import PromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.prompt_values import PromptValue"
    ]

cookbook/self_query_hotel_search.ipynb

@@ -255,7 +255,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "model = ChatOpenAI(model=\"gpt-4\")\n",
     "res = model.predict(\n",
@@ -1083,8 +1083,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.embeddings import OpenAIEmbeddings\n",
-    "from langchain.vectorstores import ElasticsearchStore\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import ElasticsearchStore\n",
     "\n",
     "embeddings = OpenAIEmbeddings()"
    ]

cookbook/sharedmemory_for_tools.ipynb

@@ -24,10 +24,10 @@
    "source": [
     "from langchain.agents import AgentExecutor, Tool, ZeroShotAgent\n",
     "from langchain.chains import LLMChain\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.memory import ConversationBufferMemory, ReadOnlySharedMemory\n",
     "from langchain.prompts import PromptTemplate\n",
-    "from langchain.utilities import GoogleSearchAPIWrapper"
+    "from langchain_community.llms import OpenAI\n",
+    "from langchain_community.utilities import GoogleSearchAPIWrapper"
    ]
   },
   {

cookbook/smart_llm.ipynb

@@ -51,8 +51,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import PromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_experimental.smart_llm import SmartLLMChain"
    ]
   },

cookbook/sql_db_qa.mdx

@@ -9,8 +9,8 @@ To set it up, follow the instructions on https://database.guide/2-sample-databas
 
 
 ```python
-from langchain.llms import OpenAI
-from langchain.utilities import SQLDatabase
+from langchain_community.llms import OpenAI
+from langchain_community.utilities import SQLDatabase
 from langchain_experimental.sql import SQLDatabaseChain
 ```
 
@@ -200,8 +200,8 @@ result["intermediate_steps"]
 How to add memory to a SQLDatabaseChain:
 
 ```python
-from langchain.llms import OpenAI
-from langchain.utilities import SQLDatabase
+from langchain_community.llms import OpenAI
+from langchain_community.utilities import SQLDatabase
 from langchain_experimental.sql import SQLDatabaseChain
 ```
 
@@ -647,7 +647,7 @@ Sometimes you may not have the luxury of using OpenAI or other service-hosted la
 import logging
 import torch
 from transformers import AutoTokenizer, GPT2TokenizerFast, pipeline, AutoModelForSeq2SeqLM, AutoModelForCausalLM
-from langchain.llms import HuggingFacePipeline
+from langchain_community.llms import HuggingFacePipeline
 
 # Note: This model requires a large GPU, e.g. an 80GB A100. See documentation for other ways to run private non-OpenAI models.
 model_id = "google/flan-ul2"
@@ -679,7 +679,7 @@ local_llm = HuggingFacePipeline(pipeline=pipe)
 
 
 ```python
-from langchain.utilities import SQLDatabase
+from langchain_community.utilities import SQLDatabase
 from langchain_experimental.sql import SQLDatabaseChain
 
 db = SQLDatabase.from_uri("sqlite:///../../../../notebooks/Chinook.db", include_tables=['Customer'])
@@ -994,9 +994,9 @@ Now that you have some examples (with manually corrected output SQL), you can do
 ```python
 from langchain.prompts import FewShotPromptTemplate, PromptTemplate
 from langchain.chains.sql_database.prompt import _sqlite_prompt, PROMPT_SUFFIX
-from langchain.embeddings.huggingface import HuggingFaceEmbeddings
+from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
 from langchain.prompts.example_selector.semantic_similarity import SemanticSimilarityExampleSelector
-from langchain.vectorstores import Chroma
+from langchain_community.vectorstores import Chroma
 
 example_prompt = PromptTemplate(
     input_variables=["table_info", "input", "sql_cmd", "sql_result", "answer"],

cookbook/stepback-qa.ipynb

@@ -23,8 +23,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate, FewShotChatMessagePromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnableLambda"
    ]
@@ -129,7 +129,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.utilities import DuckDuckGoSearchAPIWrapper\n",
+    "from langchain_community.utilities import DuckDuckGoSearchAPIWrapper\n",
     "\n",
     "search = DuckDuckGoSearchAPIWrapper(max_results=4)\n",
     "\n",

cookbook/tree_of_thought.ipynb

@@ -24,7 +24,7 @@
     }
    ],
    "source": [
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "\n",
     "llm = OpenAI(temperature=1, max_tokens=512, model=\"gpt-3.5-turbo-instruct\")"
    ]

cookbook/twitter-the-algorithm-analysis-deeplake.ipynb

@@ -37,8 +37,8 @@
     "import getpass\n",
     "import os\n",
     "\n",
-    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
-    "from langchain.vectorstores import DeepLake\n",
+    "from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import DeepLake\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
     "activeloop_token = getpass.getpass(\"Activeloop Token:\")\n",
@@ -110,7 +110,7 @@
    "source": [
     "import os\n",
     "\n",
-    "from langchain.document_loaders import TextLoader\n",
+    "from langchain_community.document_loaders import TextLoader\n",
     "\n",
     "root_dir = \"./the-algorithm\"\n",
     "docs = []\n",
@@ -3809,7 +3809,7 @@
    "outputs": [],
    "source": [
     "from langchain.chains import ConversationalRetrievalChain\n",
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "model = ChatOpenAI(model_name=\"gpt-3.5-turbo-0613\")  # switch to 'gpt-4'\n",
     "qa = ConversationalRetrievalChain.from_llm(model, retriever=retriever)"

cookbook/two_agent_debate_tools.ipynb

@@ -24,13 +24,13 @@
    "source": [
     "from typing import Callable, List\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.memory import ConversationBufferMemory\n",
     "from langchain.schema import (\n",
     "    AIMessage,\n",
     "    HumanMessage,\n",
     "    SystemMessage,\n",
-    ")"
+    ")\n",
+    "from langchain_community.chat_models import ChatOpenAI"
    ]
   },
   {

cookbook/two_player_dnd.ipynb

@@ -24,11 +24,11 @@
    "source": [
     "from typing import Callable, List\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.schema import (\n",
     "    HumanMessage,\n",
     "    SystemMessage,\n",
-    ")"
+    ")\n",
+    "from langchain_community.chat_models import ChatOpenAI"
    ]
   },
   {

cookbook/wikibase_agent.ipynb

@@ -599,7 +599,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "llm = ChatOpenAI(model_name=\"gpt-4\", temperature=0)"
    ]

docs/docs/_templates/integration.mdx

@@ -32,7 +32,7 @@ There isn't any special setup for it.
 See a [usage example](/docs/integrations/llms/INCLUDE_REAL_NAME).
 
 ```python
-from langchain.llms import integration_class_REPLACE_ME
+from langchain_community.llms import integration_class_REPLACE_ME
 ```
 
 ## Text Embedding Models
@@ -40,7 +40,7 @@ from langchain.llms import integration_class_REPLACE_ME
 See a [usage example](/docs/integrations/text_embedding/INCLUDE_REAL_NAME)
 
 ```python
-from langchain.embeddings import integration_class_REPLACE_ME
+from langchain_community.embeddings import integration_class_REPLACE_ME
 ```
 
 ## Chat models
@@ -48,7 +48,7 @@ from langchain.embeddings import integration_class_REPLACE_ME
 See a [usage example](/docs/integrations/chat/INCLUDE_REAL_NAME)
 
 ```python
-from langchain.chat_models import integration_class_REPLACE_ME
+from langchain_community.chat_models import integration_class_REPLACE_ME
 ```
 
 ## Document Loader
@@ -56,5 +56,5 @@ from langchain.chat_models import integration_class_REPLACE_ME
 See a [usage example](/docs/integrations/document_loaders/INCLUDE_REAL_NAME).
 
 ```python
-from langchain.document_loaders import integration_class_REPLACE_ME
+from langchain_community.document_loaders import integration_class_REPLACE_ME
 ```

docs/docs/expression_language/cookbook/agent.ipynb

@@ -20,7 +20,7 @@
     "from langchain import hub\n",
     "from langchain.agents import AgentExecutor, tool\n",
     "from langchain.agents.output_parsers import XMLAgentOutputParser\n",
-    "from langchain.chat_models import ChatAnthropic"
+    "from langchain_community.chat_models import ChatAnthropic"
    ]
   },
   {

docs/docs/expression_language/cookbook/code_writing.ipynb

@@ -17,10 +17,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import (\n",
     "    ChatPromptTemplate,\n",
     ")\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_experimental.utilities import PythonREPL"
    ]

docs/docs/expression_language/cookbook/embedding_router.ipynb

@@ -19,10 +19,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.prompts import PromptTemplate\n",
     "from langchain.utils.math import cosine_similarity\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnableLambda, RunnablePassthrough\n",
     "\n",

docs/docs/expression_language/cookbook/memory.ipynb

@@ -19,9 +19,9 @@
    "source": [
     "from operator import itemgetter\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.memory import ConversationBufferMemory\n",
     "from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.runnables import RunnableLambda, RunnablePassthrough\n",
     "\n",
     "model = ChatOpenAI()\n",

docs/docs/expression_language/cookbook/moderation.ipynb

@@ -18,8 +18,8 @@
    "outputs": [],
    "source": [
     "from langchain.chains import OpenAIModerationChain\n",
-    "from langchain.llms import OpenAI\n",
-    "from langchain.prompts import ChatPromptTemplate"
+    "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.llms import OpenAI"
    ]
   },
   {

docs/docs/expression_language/cookbook/multiple_chains.ipynb

@@ -39,9 +39,9 @@
    "source": [
     "from operator import itemgetter\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
     "from langchain.schema import StrOutputParser\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "prompt1 = ChatPromptTemplate.from_template(\"what is the city {person} is from?\")\n",
     "prompt2 = ChatPromptTemplate.from_template(\n",

docs/docs/expression_language/cookbook/prompt_llm_parser.ipynb

@@ -42,8 +42,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "prompt = ChatPromptTemplate.from_template(\"tell me a joke about {foo}\")\n",
     "model = ChatOpenAI()\n",

docs/docs/expression_language/cookbook/prompt_size.ipynb

@@ -26,12 +26,12 @@
     "from langchain.agents import AgentExecutor, load_tools\n",
     "from langchain.agents.format_scratchpad import format_to_openai_function_messages\n",
     "from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
     "from langchain.prompts.chat import ChatPromptValue\n",
     "from langchain.tools import WikipediaQueryRun\n",
-    "from langchain.tools.render import format_tool_to_openai_function\n",
-    "from langchain.utilities import WikipediaAPIWrapper"
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.tools.convert_to_openai import format_tool_to_openai_function\n",
+    "from langchain_community.utilities import WikipediaAPIWrapper"
    ]
   },
   {

docs/docs/expression_language/cookbook/retrieval.ipynb

@@ -38,10 +38,10 @@
    "source": [
     "from operator import itemgetter\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.prompts import ChatPromptTemplate\n",
-    "from langchain.vectorstores import FAISS\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnableLambda, RunnablePassthrough"
    ]

docs/docs/expression_language/cookbook/sql_db.ipynb

@@ -43,7 +43,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.utilities import SQLDatabase"
+    "from langchain_community.utilities import SQLDatabase"
    ]
   },
   {
@@ -93,7 +93,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnablePassthrough\n",
     "\n",

docs/docs/expression_language/cookbook/tools.ipynb

@@ -27,9 +27,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
     "from langchain.tools import DuckDuckGoSearchRun\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser"
    ]
   },

docs/docs/expression_language/get_started.ipynb

@@ -48,8 +48,8 @@
     }
    ],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "\n",
     "prompt = ChatPromptTemplate.from_template(\"tell me a short joke about {topic}\")\n",
@@ -209,7 +209,7 @@
     }
    ],
    "source": [
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "\n",
     "llm = OpenAI(model=\"gpt-3.5-turbo-instruct\")\n",
     "llm.invoke(prompt_value)"
@@ -324,10 +324,10 @@
     "# Requires:\n",
     "# pip install langchain docarray tiktoken\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.prompts import ChatPromptTemplate\n",
-    "from langchain.vectorstores import DocArrayInMemorySearch\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import DocArrayInMemorySearch\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnableParallel, RunnablePassthrough\n",
     "\n",

docs/docs/expression_language/how_to/binding.ipynb

@@ -19,9 +19,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
     "from langchain.schema import StrOutputParser\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.runnables import RunnablePassthrough"
    ]
   },

docs/docs/expression_language/how_to/configure.ipynb

@@ -41,8 +41,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import PromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.runnables import ConfigurableField\n",
     "\n",
     "model = ChatOpenAI(temperature=0).configurable_fields(\n",
@@ -263,8 +263,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatAnthropic, ChatOpenAI\n",
     "from langchain.prompts import PromptTemplate\n",
+    "from langchain_community.chat_models import ChatAnthropic, ChatOpenAI\n",
     "from langchain_core.runnables import ConfigurableField"
    ]
   },

docs/docs/expression_language/how_to/fallbacks.ipynb

@@ -31,7 +31,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatAnthropic, ChatOpenAI"
+    "from langchain_community.chat_models import ChatAnthropic, ChatOpenAI"
    ]
   },
   {
@@ -240,8 +240,8 @@
    "outputs": [],
    "source": [
     "# Now lets create a chain with the normal OpenAI model\n",
-    "from langchain.llms import OpenAI\n",
     "from langchain.prompts import PromptTemplate\n",
+    "from langchain_community.llms import OpenAI\n",
     "\n",
     "prompt_template = \"\"\"Instructions: You should always include a compliment in your response.\n",
     "\n",

docs/docs/expression_language/how_to/functions.ipynb

@@ -33,8 +33,8 @@
    "source": [
     "from operator import itemgetter\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.runnables import RunnableLambda\n",
     "\n",
     "\n",

docs/docs/expression_language/how_to/generators.ipynb

@@ -32,8 +32,8 @@
    "source": [
     "from typing import Iterator, List\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts.chat import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "\n",
     "prompt = ChatPromptTemplate.from_template(\n",

docs/docs/expression_language/how_to/map.ipynb

@@ -44,10 +44,10 @@
     }
    ],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.prompts import ChatPromptTemplate\n",
-    "from langchain.vectorstores import FAISS\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnablePassthrough\n",
     "\n",
@@ -128,10 +128,10 @@
    "source": [
     "from operator import itemgetter\n",
     "\n",
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.prompts import ChatPromptTemplate\n",
-    "from langchain.vectorstores import FAISS\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnablePassthrough\n",
     "\n",
@@ -192,8 +192,8 @@
     }
    ],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain_core.runnables import RunnableParallel\n",
     "\n",
     "model = ChatOpenAI()\n",

docs/docs/expression_language/how_to/message_history.ipynb

@@ -131,9 +131,9 @@
    "source": [
     "from typing import Optional\n",
     "\n",
-    "from langchain.chat_models import ChatAnthropic\n",
-    "from langchain.memory.chat_message_histories import RedisChatMessageHistory\n",
     "from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
+    "from langchain_community.chat_message_histories import RedisChatMessageHistory\n",
+    "from langchain_community.chat_models import ChatAnthropic\n",
     "from langchain_core.chat_history import BaseChatMessageHistory\n",
     "from langchain_core.runnables.history import RunnableWithMessageHistory"
    ]

docs/docs/expression_language/how_to/passthrough.ipynb

@@ -97,10 +97,10 @@
     }
    ],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.prompts import ChatPromptTemplate\n",
-    "from langchain.vectorstores import FAISS\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnablePassthrough\n",
     "\n",

docs/docs/expression_language/how_to/routing.ipynb

@@ -2,6 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
+   "id": "9e45e81c-e16e-4c6c-b6a3-2362e5193827",
    "metadata": {},
    "source": [
     "---\n",
@@ -51,8 +52,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatAnthropic\n",
     "from langchain.prompts import PromptTemplate\n",
+    "from langchain_community.chat_models import ChatAnthropic\n",
     "from langchain_core.output_parsers import StrOutputParser"
    ]
   },

docs/docs/expression_language/interface.ipynb

@@ -57,8 +57,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "\n",
     "model = ChatOpenAI()\n",
     "prompt = ChatPromptTemplate.from_template(\"tell me a joke about {topic}\")\n",
@@ -659,8 +659,8 @@
     }
    ],
    "source": [
-    "from langchain.embeddings import OpenAIEmbeddings\n",
-    "from langchain.vectorstores import FAISS\n",
+    "from langchain_community.embeddings import OpenAIEmbeddings\n",
+    "from langchain_community.vectorstores import FAISS\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnablePassthrough\n",
     "\n",

docs/docs/expression_language/why.ipynb

@@ -42,7 +42,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain_community.chat_models import ChatOpenAI\n",
     "from langchain.prompts import ChatPromptTemplate\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "\n",
@@ -389,7 +389,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "\n",
     "llm = OpenAI(model=\"gpt-3.5-turbo-instruct\")\n",
     "llm_chain = (\n",
@@ -468,7 +468,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatAnthropic\n",
+    "from langchain_community.chat_models import ChatAnthropic\n",
     "\n",
     "anthropic = ChatAnthropic(model=\"claude-2\")\n",
     "anthropic_chain = (\n",
@@ -1002,8 +1002,8 @@
    "source": [
     "import os\n",
     "\n",
-    "from langchain.chat_models import ChatAnthropic, ChatOpenAI\n",
-    "from langchain.llms import OpenAI\n",
+    "from langchain_community.chat_models import ChatAnthropic, ChatOpenAI\n",
+    "from langchain_community.llms import OpenAI\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.prompts import ChatPromptTemplate\n",
     "from langchain_core.runnables import RunnablePassthrough\n",

docs/docs/get_started/quickstart.mdx

@@ -85,7 +85,7 @@ export OPENAI_API_KEY="..."
 We can then initialize the model:
 
 ```python
-from langchain.chat_models import ChatOpenAI
+from langchain_community.chat_models import ChatOpenAI
 
 llm = ChatOpenAI()
 ```
@@ -93,7 +93,7 @@ llm = ChatOpenAI()
 If you'd prefer not to set an environment variable you can pass the key in directly via the `openai_api_key` named parameter when initiating the OpenAI LLM class:
 
 ```python
-from langchain.chat_models import ChatOpenAI
+from langchain_community.chat_models import ChatOpenAI
 
 llm = ChatOpenAI(openai_api_key="...")
 ```
@@ -110,7 +110,7 @@ First, follow [these instructions](https://github.com/jmorganca/ollama) to set u
 
 Then, make sure the Ollama server is running. After that, you can do:
 ```python
-from langchain.llms import Ollama
+from langchain_community.llms import Ollama
 llm = Ollama(model="llama2")
 ```
 
@@ -143,6 +143,10 @@ chain = prompt | llm
 
 We can now invoke it and ask the same question. It still won't know the answer, but it should respond in a more proper tone for a technical writer!
 
+```python
+chain.invoke({"input": "how can langsmith help with testing?"})
+```
+
 The output of a ChatModel (and therefore, of this chain) is a message. However, it's often much more convenient to work with strings. Let's add a simple output parser to convert the chat message to a string.
 
 ```python
@@ -204,7 +208,7 @@ embeddings = OpenAIEmbeddings()
 ```
 
 </TabItem>
-<TabItem value="local" label="Ollama">
+<TabItem value="local" label="Local">
 
 Make sure you have Ollama running (same set up as with the LLM).
 
@@ -284,7 +288,7 @@ We can now invoke this chain. This returns a dictionary - the response from the
 response = retrieval_chain.invoke({"input": "how can langsmith help with testing?"})
 print(response["answer"])
 
-// LangSmith offers several features that can help with testing:...
+# LangSmith offers several features that can help with testing:...
 ```
 
 This answer should be much more accurate!
@@ -326,7 +330,7 @@ We can test this out by passing in an instance where the user is asking a follow
 from langchain_core.messages import HumanMessage, AIMessage
 
 chat_history = [HumanMessage(content="Can LangSmith help test my LLM applications?"), AIMessage(content="Yes!")]
-retrieval_chain.invoke({
+retriever_chain.invoke({
     "chat_history": chat_history,
     "input": "Tell me how"
 })
@@ -412,7 +416,7 @@ pip install langchainhub
 Now we can use it to get a predefined prompt
 
 ```python
-from langchain.chat_models import ChatOpenAI
+from langchain_community.chat_models import ChatOpenAI
 from langchain import hub
 from langchain.agents import create_openai_functions_agent
 from langchain.agents import AgentExecutor
@@ -476,14 +480,14 @@ from typing import List
 
 from fastapi import FastAPI
 from langchain.prompts import ChatPromptTemplate
-from langchain.chat_models import ChatOpenAI
+from langchain_community.chat_models import ChatOpenAI
 from langchain_community.document_loaders import WebBaseLoader
 from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_community.vectorstores import DocArrayInMemorySearch
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.tools.retriever import create_retriever_tool
 from langchain_community.tools.tavily_search import TavilySearchResults
-from langchain.chat_models import ChatOpenAI
+from langchain_community.chat_models import ChatOpenAI
 from langchain import hub
 from langchain.agents import create_openai_functions_agent
 from langchain.agents import AgentExecutor

docs/docs/guides/debugging.md

@@ -25,7 +25,7 @@ Let's suppose we have a simple agent, and want to visualize the actions it takes
 
 ```python
 from langchain.agents import AgentType, initialize_agent, load_tools
-from langchain.chat_models import ChatOpenAI
+from langchain_community.chat_models import ChatOpenAI
 
 llm = ChatOpenAI(model_name="gpt-4", temperature=0)
 tools = load_tools(["ddg-search", "llm-math"], llm=llm)

docs/docs/guides/evaluation/comparison/custom.ipynb

@@ -120,8 +120,8 @@
     "from typing import Any, Optional\n",
     "\n",
     "from langchain.chains import LLMChain\n",
-    "from langchain.chat_models import ChatAnthropic\n",
     "from langchain.evaluation import PairwiseStringEvaluator\n",
+    "from langchain_community.chat_models import ChatAnthropic\n",
     "\n",
     "\n",
     "class CustomPreferenceEvaluator(PairwiseStringEvaluator):\n",

docs/docs/guides/evaluation/comparison/pairwise_embedding_distance.ipynb

@@ -156,7 +156,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.embeddings import HuggingFaceEmbeddings\n",
+    "from langchain_community.embeddings import HuggingFaceEmbeddings\n",
     "\n",
     "embedding_model = HuggingFaceEmbeddings()\n",
     "hf_evaluator = load_evaluator(\"pairwise_embedding_distance\", embeddings=embedding_model)"

docs/docs/guides/evaluation/comparison/pairwise_string.ipynb

@@ -236,7 +236,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chat_models import ChatAnthropic\n",
+    "from langchain_community.chat_models import ChatAnthropic\n",
     "\n",
     "llm = ChatAnthropic(temperature=0)\n",
     "\n",