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Migrate to langchain >=0.1.0,<0.3 #620

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2 changes: 1 addition & 1 deletion docs/langchain-retrieval-agent.ipynb
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Expand Up @@ -70,7 +70,7 @@
"\n",
" import requests\n",
" from IPython.display import Image, display\n",
" from langchain.chat_models import init_chat_model\n",
" from langchain_community.chat_models import init_chat_model\n",

@cursor cursor Bot Sep 12, 2026

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Wrong init_chat_model import path

High Severity

init_chat_model is imported from langchain_community.chat_models, but that helper lives on langchain.chat_models and was never moved to community. These docs notebooks install langchain[openai]==1.2.7 without langchain-community, so the import cell raises ImportError immediately.

Additional Locations (1)
Fix in Cursor Fix in Web

Triggered by project rule: Bugbot Configuration

Reviewed by Cursor Bugbot for commit 9031da8. Configure here.

" from langchain_core.messages import HumanMessage\n",
" from langchain_core.tools import tool\n",
" from langgraph.graph import END, START, StateGraph\n",
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2 changes: 1 addition & 1 deletion docs/langchain-retrieval-augmentation.ipynb
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Expand Up @@ -53,7 +53,7 @@
" from getpass import getpass\n",
"\n",
" import requests\n",
" from langchain.chat_models import init_chat_model\n",
" from langchain_community.chat_models import init_chat_model\n",
" from langchain_core.documents import Document\n",
" from langchain_openai import OpenAIEmbeddings\n",
" from langchain_pinecone import PineconeVectorStore\n",
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4 changes: 2 additions & 2 deletions learn/generation/better-rag/02a-alt-chunking-methods.ipynb
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Expand Up @@ -271,7 +271,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
"from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
"import tiktoken\n",
"\n",
"tokenizer = tiktoken.get_encoding(\"p50k_base\")\n",
Expand Down Expand Up @@ -337,7 +337,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.text_splitter import MarkdownHeaderTextSplitter"
"from langchain_text_splitters import MarkdownHeaderTextSplitter"
]
},
{
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6 changes: 3 additions & 3 deletions learn/generation/better-rag/xx-serverless-rag.ipynb
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Expand Up @@ -518,7 +518,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.embeddings.openai import OpenAIEmbeddings\n",
"from langchain_openai import OpenAIEmbeddings\n",
"\n",
"# get openai api key from platform.openai.com\n",
"OPENAI_API_KEY = os.getenv('OPENAI_API_KEY') or 'OPENAI_API_KEY'\n",
Expand All @@ -545,7 +545,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.vectorstores import Pinecone\n",
"from langchain_community.vectorstores import Pinecone\n",
"\n",
"text_field = \"text\"\n",
"\n",
Expand Down Expand Up @@ -611,7 +611,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain_openai import ChatOpenAI\n",
"from langchain.chains import RetrievalQA\n",
"\n",
"# chatbot language model\n",
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6 changes: 3 additions & 3 deletions learn/generation/chatbots/chatbot.ipynb
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Expand Up @@ -508,7 +508,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.embeddings.openai import OpenAIEmbeddings\n",
"from langchain_openai import OpenAIEmbeddings\n",

@cursor cursor Bot Sep 12, 2026

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Imports diverge from pinned dependencies

High Severity

Imports were rewritten to langchain_community, langchain_openai, langchain_text_splitters, and langchain_core while install cells still pin langchain 0.0.x or 0.1.x and do not install the new packages. Those modules are not available under the existing pins, so the notebooks fail at import time.

Additional Locations (2)
Fix in Cursor Fix in Web

Triggered by project rule: Bugbot Configuration

Reviewed by Cursor Bugbot for commit 9031da8. Configure here.

"\n",
"# get openai api key from platform.openai.com\n",
"OPENAI_API_KEY = os.getenv('OPENAI_API_KEY') or 'OPENAI_API_KEY'\n",
Expand All @@ -535,7 +535,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.vectorstores import Pinecone\n",
"from langchain_community.vectorstores import Pinecone\n",
"\n",
"text_field = \"text\"\n",
"\n",
Expand Down Expand Up @@ -601,7 +601,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain_openai import ChatOpenAI\n",
"from langchain.chains import RetrievalQA\n",
"\n",
"# chatbot language model\n",
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6 changes: 3 additions & 3 deletions learn/generation/chatbots/conversational-agents/langchain-lex-agent.ipynb
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Expand Up @@ -344,8 +344,8 @@
},
"outputs": [],
"source": [
"from langchain.embeddings.openai import OpenAIEmbeddings\n",
"from langchain.vectorstores import Pinecone\n",
"from langchain_openai import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import Pinecone\n",
"\n",
"embeddings = OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)\n",
"\n",
Expand Down Expand Up @@ -374,7 +374,7 @@
},
"outputs": [],
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm=ChatOpenAI(\n",
" openai_api_key=OPENAI_API_KEY,\n",
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6 changes: 3 additions & 3 deletions learn/generation/langchain/00-azure-openai-retrieval.ipynb
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Expand Up @@ -648,7 +648,7 @@
},
"outputs": [],
"source": [
"from langchain.chat_models import AzureChatOpenAI\n",
"from langchain_openai import AzureChatOpenAI\n",
"\n",
"llm = AzureChatOpenAI(\n",
" deployment_name=\"gpt4\",\n",
Expand All @@ -674,7 +674,7 @@
},
"outputs": [],
"source": [
"from langchain.embeddings import OpenAIEmbeddings\n",
"from langchain_openai import OpenAIEmbeddings\n",
"\n",
"embed = OpenAIEmbeddings(\n",
" deployment='embedding',\n",
Expand Down Expand Up @@ -710,7 +710,7 @@
},
"outputs": [],
"source": [
"from langchain.vectorstores import Pinecone\n",
"from langchain_community.vectorstores import Pinecone\n",
"\n",
"text_field = \"text\"\n",
"\n",
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4 changes: 2 additions & 2 deletions learn/generation/langchain/00b-azure-openai-simple.ipynb
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Expand Up @@ -102,7 +102,7 @@
},
"outputs": [],
"source": [
"from langchain.chat_models import AzureChatOpenAI\n",
"from langchain_openai import AzureChatOpenAI\n",
"\n",
"llm = AzureChatOpenAI(\n",
" deployment_name=\"gpt4\",\n",
Expand All @@ -124,7 +124,7 @@
{
"cell_type": "code",
"source": [
"from langchain.schema import (\n",
"from langchain_core.messages import (\n",
" SystemMessage,\n",
" HumanMessage,\n",
" AIMessage\n",
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2 changes: 1 addition & 1 deletion learn/generation/langchain/handbook/03-langchain-conversational-memory.ipynb
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Expand Up @@ -213,7 +213,7 @@
" HumanMessagePromptTemplate,\n",
" MessagesPlaceholder\n",
")\n",
"from langchain.schema.output_parser import StrOutputParser\n",
"from langchain_core.output_parsers import StrOutputParser\n",
"\n",
"# Define the prompt template\n",
"system_prompt = \"\"\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\"\"\"\n",
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2 changes: 1 addition & 1 deletion learn/generation/langchain/handbook/03a-token-counter.ipynb
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Expand Up @@ -178,7 +178,7 @@
" HumanMessagePromptTemplate,\n",
" MessagesPlaceholder\n",
")\n",
"from langchain.schema.output_parser import StrOutputParser\n",
"from langchain_core.output_parsers import StrOutputParser\n",
"\n",
"# Define the prompt template\n",
"system_prompt = \"\"\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\"\"\"\n",
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2 changes: 1 addition & 1 deletion learn/generation/langchain/handbook/05-langchain-retrieval-augmentation.ipynb
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Expand Up @@ -244,7 +244,7 @@
},
"outputs": [],
"source": [
"from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
"from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
"\n",
"text_splitter = RecursiveCharacterTextSplitter(\n",
" chunk_size=300,\n",
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2 changes: 1 addition & 1 deletion learn/generation/langchain/handbook/06-langchain-agents.ipynb
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Expand Up @@ -322,7 +322,7 @@
},
"outputs": [],
"source": [
"from langchain.utilities import SQLDatabase\n",
"from langchain_community.utilities import SQLDatabase\n",
"from langchain_experimental.sql import SQLDatabaseChain\n",
"\n",
"db = SQLDatabase(engine)\n",
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6 changes: 3 additions & 3 deletions learn/generation/langchain/handbook/08-langchain-retrieval-agent.ipynb
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Expand Up @@ -499,7 +499,7 @@
"source": [
"import os\n",
"from getpass import getpass\n",
"from langchain.embeddings.openai import OpenAIEmbeddings\n",
"from langchain_openai import OpenAIEmbeddings\n",
"\n",
"# get API key from top-right dropdown on OpenAI website\n",
"OPENAI_API_KEY = os.getenv(\"OPENAI_API_KEY\") or getpass(\"Enter your OpenAI API key: \")\n",
Expand Down Expand Up @@ -773,7 +773,7 @@
}
],
"source": [
"from langchain.vectorstores import Pinecone\n",
"from langchain_community.vectorstores import Pinecone\n",
"\n",
"text_field = \"text\" # the metadata field that contains our text\n",
"\n",
Expand Down Expand Up @@ -864,7 +864,7 @@
},
"outputs": [],
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain_openai import ChatOpenAI\n",
"from langchain.chains.conversation.memory import ConversationBufferWindowMemory\n",
"from langchain.chains import RetrievalQA\n",
"\n",
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4 changes: 2 additions & 2 deletions learn/generation/langchain/handbook/09-langchain-streaming/09-langchain-streaming.ipynb
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Expand Up @@ -67,7 +67,7 @@
"outputs": [],
"source": [
"import os\n",
"from langchain.chat_models import ChatOpenAI\n",
"from langchain_openai import ChatOpenAI\n",
"from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"OPENAI_API_KEY\") or \"YOUR_API_KEY\"\n",
Expand Down Expand Up @@ -95,7 +95,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.schema import HumanMessage\n",
"from langchain_core.messages import HumanMessage\n",
"\n",
"# create messages to be passed to chat LLM\n",
"messages = [HumanMessage(content=\"tell me a long story\")]\n",
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4 changes: 2 additions & 2 deletions learn/generation/langchain/handbook/09-langchain-streaming/main.py
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Expand Up @@ -9,11 +9,11 @@
from pydantic import BaseModel

from langchain.agents import AgentType, initialize_agent
from langchain.chat_models import ChatOpenAI
from langchain_openai import ChatOpenAI
from langchain.memory import ConversationBufferWindowMemory
from langchain.callbacks.streaming_aiter import AsyncIteratorCallbackHandler
from langchain.callbacks.streaming_stdout_final_only import FinalStreamingStdOutCallbackHandler
from langchain.schema import LLMResult
from langchain_core.outputs import LLMResult

app = FastAPI()

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8 changes: 4 additions & 4 deletions learn/generation/langchain/handbook/10-langchain-multi-query.ipynb
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Expand Up @@ -93,7 +93,7 @@
},
"outputs": [],
"source": [
"from langchain.docstore.document import Document\n",
"from langchain_community.docstore.document import Document\n",
"\n",
"docs = []\n",
"\n",
Expand Down Expand Up @@ -141,7 +141,7 @@
"source": [
"import os\n",
"from getpass import getpass\n",
"from langchain.embeddings.openai import OpenAIEmbeddings\n",
"from langchain_openai import OpenAIEmbeddings\n",
"\n",
"model_name = \"text-embedding-ada-002\"\n",
"\n",
Expand Down Expand Up @@ -380,7 +380,7 @@
}
],
"source": [
"from langchain.vectorstores import Pinecone\n",
"from langchain_community.vectorstores import Pinecone\n",
"\n",
"text_field = \"text\"\n",
"\n",
Expand All @@ -395,7 +395,7 @@
},
"outputs": [],
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"llm = ChatOpenAI(temperature=0, openai_api_key=OPENAI_API_KEY)"
]
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8 changes: 4 additions & 4 deletions learn/generation/langchain/handbook/11-langchain-expression-language.ipynb
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Expand Up @@ -62,9 +62,9 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.chat_models import ChatAnthropic\n",
"from langchain_community.chat_models import ChatAnthropic\n",
"from langchain.prompts import ChatPromptTemplate\n",
"from langchain.schema.output_parser import StrOutputParser\n",
"from langchain_core.output_parsers import StrOutputParser\n",
"\n",
"ANTHROPIC_API_KEY = \"<<YOUR_ANTHROPIC_API_KEY>>\"\n",
"\n",
Expand Down Expand Up @@ -345,8 +345,8 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.embeddings import CohereEmbeddings\n",
"from langchain.vectorstores import DocArrayInMemorySearch\n",
"from langchain_community.embeddings import CohereEmbeddings\n",
"from langchain_community.vectorstores import DocArrayInMemorySearch\n",
"\n",
"COHERE_API_KEY = \"<<COHERE_API_KEY>>\"\n",
"if COHERE_API_KEY == \"<<COHERE_API_KEY>>\":\n",
Expand Down
10 changes: 5 additions & 5 deletions learn/generation/langchain/handbook/xx-langchain-chunking.ipynb
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Expand Up @@ -84,7 +84,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import ReadTheDocsLoader\n",
"from langchain_community.document_loaders import ReadTheDocsLoader\n",
"\n",
"loader = ReadTheDocsLoader('rtdocs')\n",
"docs = loader.load()\n",
Expand Down Expand Up @@ -185,9 +185,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that for the tokenizer we defined the encoder as `\"cl100k_base\"`. This is a specific tiktoken encoder which is used by `gpt-3.5-turbo`, as well as `gpt-4`, and `text-embedding-ada-002` which are models supported by OpenAI at the time of this writing. Other encoders may be available, but are used with models that are now deprecated by OpenAI.\n",
"\n",
"You can find more details in the [Tiktoken `model.py` script](https://github.com/openai/tiktoken/blob/main/tiktoken/model.py), or using `tiktoken.encoding_for_model`:"
"Note that for the tokenizer we defined the encoder as `\"cl100k_base\"`. This is a specific tiktoken encoder which is used by `gpt-3.5-turbo`, as well as `gpt-4`, and `text-embedding-ada-002` which are models supported by OpenAI at the time of this writing. Other encoders may be available, but are used with models that are now deprecated by OpenAI.\n",
"\n",
"You can find more details in the [Tiktoken `model.py` script](https://github.com/openai/tiktoken/blob/main/tiktoken/model.py), or using `tiktoken.encoding_for_model`:"
]
},
{
Expand Down Expand Up @@ -306,7 +306,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
"from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
"\n",
"text_splitter = RecursiveCharacterTextSplitter(\n",
" chunk_size=400,\n",
Expand Down
5 changes: 4 additions & 1 deletion learn/generation/langchain/langgraph/02-ollama-langgraph-agent/pyproject.toml
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Expand Up @@ -7,8 +7,11 @@ readme = "README.md"
package-mode = false

[tool.poetry.dependencies]
langchain-community = ">=0.0.20"
langchain-openai = ">=0.0.5"
langchain-text-splitters = ">=0.0.1"
python = ">=3.10,<3.13"
langchain = "0.2.12"
langchain = ">=0.1"
langchain-core = "0.2.43"
langgraph = "0.2.3"
langchain-ollama = "0.1.1"
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4 changes: 2 additions & 2 deletions learn/generation/llm-field-guide/falcon/falcon-40b-chatbot.ipynb
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Expand Up @@ -927,7 +927,7 @@
"outputs": [],
"source": [
"from langchain import PromptTemplate, LLMChain\n",
"from langchain.llms import HuggingFacePipeline\n",
"from langchain_community.llms import HuggingFacePipeline\n",
"\n",
"# template for an instruction with no input\n",
"prompt = PromptTemplate(\n",
Expand Down Expand Up @@ -1115,7 +1115,7 @@
},
"outputs": [],
"source": [
"from langchain.schema import BaseOutputParser\n",
"from langchain_core.output_parsers import BaseOutputParser\n",
"\n",
"class OutputParser(BaseOutputParser):\n",
" def parse(self, text: str) -> str:\n",
Expand Down
2 changes: 1 addition & 1 deletion learn/generation/llm-field-guide/gpt-j-6b/gpt-j-6b-huggingface-langchain.ipynb
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Expand Up @@ -517,7 +517,7 @@
"outputs": [],
"source": [
"from langchain import PromptTemplate, LLMChain\n",
"from langchain.llms import HuggingFacePipeline\n",
"from langchain_community.llms import HuggingFacePipeline\n",
"\n",
"# template for an instruction with no input\n",
"prompt = PromptTemplate(\n",
Expand Down
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