docs: run migration script against how-to docs (#21927)

Upgrade imports in how-to docs
4 months ago · b2f58d37db
parent d85e46321a
commit b2f58d37db
32 changed files with 54 additions and 68 deletions
--- a/docs/docs/how_to/HTML_section_aware_splitter.ipynb
+++ b/docs/docs/how_to/HTML_section_aware_splitter.ipynb
@ -132,7 +132,7 @@
    }
   ],
   "source": [
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
    "\n",
    "html_string = \"\"\"\n",
    "    <!DOCTYPE html>\n",
--- a/docs/docs/how_to/callbacks_async.ipynb
+++ b/docs/docs/how_to/callbacks_async.ipynb
@ -93,8 +93,8 @@
    "import asyncio\n",
    "from typing import Any, Dict, List\n",
    "\n",
-    "from langchain.callbacks.base import AsyncCallbackHandler, BaseCallbackHandler\n",
    "from langchain_anthropic import ChatAnthropic\n",
+    "from langchain_core.callbacks import AsyncCallbackHandler, BaseCallbackHandler\n",
    "from langchain_core.messages import HumanMessage\n",
    "from langchain_core.outputs import LLMResult\n",
    "\n",
--- a/docs/docs/how_to/chat_model_caching.ipynb
+++ b/docs/docs/how_to/chat_model_caching.ipynb
@ -170,7 +170,7 @@
   "outputs": [],
   "source": [
    "# We can do the same thing with a SQLite cache\n",
-    "from langchain.cache import SQLiteCache\n",
+    "from langchain_community.cache import SQLiteCache\n",
    "\n",
    "set_llm_cache(SQLiteCache(database_path=\".langchain.db\"))"
   ]
--- a/docs/docs/how_to/chatbots_memory.ipynb
+++ b/docs/docs/how_to/chatbots_memory.ipynb
@ -165,7 +165,7 @@
    }
   ],
   "source": [
-    "from langchain.memory import ChatMessageHistory\n",
+    "from langchain_community.chat_message_histories import ChatMessageHistory\n",
    "\n",
    "demo_ephemeral_chat_history = ChatMessageHistory()\n",
    "\n",
--- a/docs/docs/how_to/chatbots_tools.ipynb
+++ b/docs/docs/how_to/chatbots_tools.ipynb
@ -336,7 +336,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.memory import ChatMessageHistory\n",
+    "from langchain_community.chat_message_histories import ChatMessageHistory\n",
    "from langchain_core.runnables.history import RunnableWithMessageHistory\n",
    "\n",
    "demo_ephemeral_chat_history_for_chain = ChatMessageHistory()\n",
--- a/docs/docs/how_to/configure.ipynb
+++ b/docs/docs/how_to/configure.ipynb
@ -89,7 +89,7 @@
    }
   ],
   "source": [
-    "from langchain.prompts import PromptTemplate\n",
+    "from langchain_core.prompts import PromptTemplate\n",
    "from langchain_core.runnables import ConfigurableField\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
@ -312,8 +312,8 @@
    }
   ],
   "source": [
-    "from langchain.prompts import PromptTemplate\n",
    "from langchain_anthropic import ChatAnthropic\n",
+    "from langchain_core.prompts import PromptTemplate\n",
    "from langchain_core.runnables import ConfigurableField\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
--- a/docs/docs/how_to/custom_tools.ipynb
+++ b/docs/docs/how_to/custom_tools.ipynb
@ -258,11 +258,11 @@
   "source": [
    "from typing import Optional, Type\n",
    "\n",
-    "from langchain.callbacks.manager import (\n",
+    "from langchain.pydantic_v1 import BaseModel\n",
+    "from langchain_core.callbacks import (\n",
    "    AsyncCallbackManagerForToolRun,\n",
    "    CallbackManagerForToolRun,\n",
    ")\n",
-    "from langchain.pydantic_v1 import BaseModel\n",
    "from langchain_core.tools import BaseTool\n",
    "\n",
    "\n",
--- a/docs/docs/how_to/document_loader_pdf.ipynb
+++ b/docs/docs/how_to/document_loader_pdf.ipynb
@ -463,7 +463,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.docstore.document import Document\n",
+    "from langchain_core.documents import Document\n",
    "\n",
    "cur_idx = -1\n",
    "semantic_snippets = []\n",
--- a/docs/docs/how_to/example_selectors_length_based.ipynb
+++ b/docs/docs/how_to/example_selectors_length_based.ipynb
@ -17,8 +17,8 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.prompts import FewShotPromptTemplate, PromptTemplate\n",
-    "from langchain.prompts.example_selector import LengthBasedExampleSelector\n",
+    "from langchain_core.example_selectors import LengthBasedExampleSelector\n",
+    "from langchain_core.prompts import FewShotPromptTemplate, PromptTemplate\n",
    "\n",
    "# Examples of a pretend task of creating antonyms.\n",
    "examples = [\n",
--- a/docs/docs/how_to/example_selectors_mmr.ipynb
+++ b/docs/docs/how_to/example_selectors_mmr.ipynb
@ -17,12 +17,12 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.prompts import FewShotPromptTemplate, PromptTemplate\n",
-    "from langchain.prompts.example_selector import (\n",
+    "from langchain_community.vectorstores import FAISS\n",
+    "from langchain_core.example_selectors import (\n",
    "    MaxMarginalRelevanceExampleSelector,\n",
    "    SemanticSimilarityExampleSelector,\n",
    ")\n",
-    "from langchain_community.vectorstores import FAISS\n",
+    "from langchain_core.prompts import FewShotPromptTemplate, PromptTemplate\n",
    "from langchain_openai import OpenAIEmbeddings\n",
    "\n",
    "example_prompt = PromptTemplate(\n",
--- a/docs/docs/how_to/example_selectors_ngram.ipynb
+++ b/docs/docs/how_to/example_selectors_ngram.ipynb
@ -19,8 +19,8 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.prompts import FewShotPromptTemplate, PromptTemplate\n",
-    "from langchain.prompts.example_selector.ngram_overlap import NGramOverlapExampleSelector\n",
+    "from langchain_community.example_selectors import NGramOverlapExampleSelector\n",
+    "from langchain_core.prompts import FewShotPromptTemplate, PromptTemplate\n",
    "\n",
    "example_prompt = PromptTemplate(\n",
    "    input_variables=[\"input\", \"output\"],\n",
--- a/docs/docs/how_to/example_selectors_similarity.ipynb
+++ b/docs/docs/how_to/example_selectors_similarity.ipynb
@ -17,9 +17,9 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.prompts import FewShotPromptTemplate, PromptTemplate\n",
-    "from langchain.prompts.example_selector import SemanticSimilarityExampleSelector\n",
    "from langchain_chroma import Chroma\n",
+    "from langchain_core.example_selectors import SemanticSimilarityExampleSelector\n",
+    "from langchain_core.prompts import FewShotPromptTemplate, PromptTemplate\n",
    "from langchain_openai import OpenAIEmbeddings\n",
    "\n",
    "example_prompt = PromptTemplate(\n",
--- a/docs/docs/how_to/extraction_parse.ipynb
+++ b/docs/docs/how_to/extraction_parse.ipynb
@ -69,7 +69,7 @@
   "source": [
    "from typing import List, Optional\n",
    "\n",
-    "from langchain.output_parsers import PydanticOutputParser\n",
+    "from langchain_core.output_parsers import PydanticOutputParser\n",
    "from langchain_core.prompts import ChatPromptTemplate\n",
    "from langchain_core.pydantic_v1 import BaseModel, Field, validator\n",
    "\n",
--- a/docs/docs/how_to/fallbacks.ipynb
+++ b/docs/docs/how_to/fallbacks.ipynb
@ -53,7 +53,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain_community.chat_models import ChatAnthropic\n",
+    "from langchain_anthropic import ChatAnthropic\n",
    "from langchain_openai import ChatOpenAI"
   ]
  },
--- a/docs/docs/how_to/few_shot_examples.ipynb
+++ b/docs/docs/how_to/few_shot_examples.ipynb
@ -45,7 +45,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.prompts.prompt import PromptTemplate\n",
+    "from langchain_core.prompts import PromptTemplate\n",
    "\n",
    "example_prompt = PromptTemplate.from_template(\"Question: {question}\\n{answer}\")"
   ]
@ -222,7 +222,7 @@
    }
   ],
   "source": [
-    "from langchain.prompts.few_shot import FewShotPromptTemplate\n",
+    "from langchain_core.prompts import FewShotPromptTemplate\n",
    "\n",
    "prompt = FewShotPromptTemplate(\n",
    "    examples=examples,\n",
@ -282,8 +282,8 @@
    }
   ],
   "source": [
-    "from langchain.prompts.example_selector import SemanticSimilarityExampleSelector\n",
    "from langchain_chroma import Chroma\n",
+    "from langchain_core.example_selectors import SemanticSimilarityExampleSelector\n",
    "from langchain_openai import OpenAIEmbeddings\n",
    "\n",
    "example_selector = SemanticSimilarityExampleSelector.from_examples(\n",
--- a/docs/docs/how_to/few_shot_examples_chat.ipynb
+++ b/docs/docs/how_to/few_shot_examples_chat.ipynb
@ -88,10 +88,7 @@
   },
   "outputs": [],
   "source": [
-    "from langchain.prompts import (\n",
-    "    ChatPromptTemplate,\n",
-    "    FewShotChatMessagePromptTemplate,\n",
-    ")\n",
+    "from langchain_core.prompts import ChatPromptTemplate, FewShotChatMessagePromptTemplate\n",
    "\n",
    "examples = [\n",
    "    {\"input\": \"2+2\", \"output\": \"4\"},\n",
@ -218,8 +215,8 @@
   },
   "outputs": [],
   "source": [
-    "from langchain.prompts import SemanticSimilarityExampleSelector\n",
    "from langchain_chroma import Chroma\n",
+    "from langchain_core.example_selectors import SemanticSimilarityExampleSelector\n",
    "from langchain_openai import OpenAIEmbeddings\n",
    "\n",
    "examples = [\n",
@ -305,10 +302,7 @@
    }
   ],
   "source": [
-    "from langchain.prompts import (\n",
-    "    ChatPromptTemplate,\n",
-    "    FewShotChatMessagePromptTemplate,\n",
-    ")\n",
+    "from langchain_core.prompts import ChatPromptTemplate, FewShotChatMessagePromptTemplate\n",
    "\n",
    "# Define the few-shot prompt.\n",
    "few_shot_prompt = FewShotChatMessagePromptTemplate(\n",
--- a/docs/docs/how_to/graph_semantic.ipynb
+++ b/docs/docs/how_to/graph_semantic.ipynb
@ -177,14 +177,13 @@
   "source": [
    "from typing import Optional, Type\n",
    "\n",
-    "from langchain.callbacks.manager import (\n",
+    "# Import things that are needed generically\n",
+    "from langchain.pydantic_v1 import BaseModel, Field\n",
+    "from langchain_core.callbacks import (\n",
    "    AsyncCallbackManagerForToolRun,\n",
    "    CallbackManagerForToolRun,\n",
    ")\n",
-    "\n",
-    "# Import things that are needed generically\n",
-    "from langchain.pydantic_v1 import BaseModel, Field\n",
-    "from langchain.tools import BaseTool\n",
+    "from langchain_core.tools import BaseTool\n",
    "\n",
    "description_query = \"\"\"\n",
    "MATCH (m:Movie|Person)\n",
@ -227,14 +226,13 @@
   "source": [
    "from typing import Optional, Type\n",
    "\n",
-    "from langchain.callbacks.manager import (\n",
+    "# Import things that are needed generically\n",
+    "from langchain.pydantic_v1 import BaseModel, Field\n",
+    "from langchain_core.callbacks import (\n",
    "    AsyncCallbackManagerForToolRun,\n",
    "    CallbackManagerForToolRun,\n",
    ")\n",
-    "\n",
-    "# Import things that are needed generically\n",
-    "from langchain.pydantic_v1 import BaseModel, Field\n",
-    "from langchain.tools import BaseTool\n",
+    "from langchain_core.tools import BaseTool\n",
    "\n",
    "\n",
    "class InformationInput(BaseModel):\n",
@ -287,8 +285,8 @@
    "from langchain.agents import AgentExecutor\n",
    "from langchain.agents.format_scratchpad import format_to_openai_function_messages\n",
    "from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser\n",
-    "from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
    "from langchain_core.messages import AIMessage, HumanMessage\n",
+    "from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
    "from langchain_core.utils.function_calling import convert_to_openai_function\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
--- a/docs/docs/how_to/indexing.ipynb
+++ b/docs/docs/how_to/indexing.ipynb
@ -786,7 +786,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain_community.document_loaders.base import BaseLoader\n",
+    "from langchain_core.document_loaders import BaseLoader\n",
    "\n",
    "\n",
    "class MyCustomLoader(BaseLoader):\n",
--- a/docs/docs/how_to/inspect.ipynb
+++ b/docs/docs/how_to/inspect.ipynb
@ -39,9 +39,9 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.prompts import ChatPromptTemplate\n",
    "from langchain_community.vectorstores import FAISS\n",
    "from langchain_core.output_parsers import StrOutputParser\n",
+    "from langchain_core.prompts import ChatPromptTemplate\n",
    "from langchain_core.runnables import RunnablePassthrough\n",
    "from langchain_openai import ChatOpenAI, OpenAIEmbeddings\n",
    "\n",
--- a/docs/docs/how_to/llm_caching.ipynb
+++ b/docs/docs/how_to/llm_caching.ipynb
@ -119,7 +119,7 @@
   "outputs": [],
   "source": [
    "# We can do the same thing with a SQLite cache\n",
-    "from langchain.cache import SQLiteCache\n",
+    "from langchain_community.cache import SQLiteCache\n",
    "\n",
    "set_llm_cache(SQLiteCache(database_path=\".langchain.db\"))"
   ]
--- a/docs/docs/how_to/local_llms.ipynb
+++ b/docs/docs/how_to/local_llms.ipynb
@ -134,8 +134,7 @@
    }
   ],
   "source": [
-    "from langchain.callbacks.manager import CallbackManager\n",
-    "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n",
+    "from langchain_core.callbacks import CallbackManager, StreamingStdOutCallbackHandler\n",
    "\n",
    "llm = Ollama(\n",
    "    model=\"llama2\", callback_manager=CallbackManager([StreamingStdOutCallbackHandler()])\n",
@ -288,9 +287,8 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.callbacks.manager import CallbackManager\n",
-    "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n",
    "from langchain_community.llms import LlamaCpp\n",
+    "from langchain_core.callbacks import CallbackManager, StreamingStdOutCallbackHandler\n",
    "\n",
    "llm = LlamaCpp(\n",
    "    model_path=\"/Users/rlm/Desktop/Code/llama.cpp/models/openorca-platypus2-13b.gguf.q4_0.bin\",\n",
--- a/docs/docs/how_to/long_context_reorder.ipynb
+++ b/docs/docs/how_to/long_context_reorder.ipynb
@ -52,11 +52,11 @@
   ],
   "source": [
    "from langchain.chains import LLMChain, StuffDocumentsChain\n",
-    "from langchain.prompts import PromptTemplate\n",
    "from langchain_chroma import Chroma\n",
    "from langchain_community.document_transformers import (\n",
    "    LongContextReorder,\n",
    ")\n",
+    "from langchain_core.prompts import PromptTemplate\n",
    "from langchain_huggingface import HuggingFaceEmbeddings\n",
    "from langchain_openai import OpenAI\n",
    "\n",
--- a/docs/docs/how_to/migrate_agent.ipynb
+++ b/docs/docs/how_to/migrate_agent.ipynb
@ -344,7 +344,7 @@
   ],
   "source": [
    "from langchain.agents import AgentExecutor, create_tool_calling_agent\n",
-    "from langchain.memory import ChatMessageHistory\n",
+    "from langchain_community.chat_message_histories import ChatMessageHistory\n",
    "from langchain_core.prompts import ChatPromptTemplate\n",
    "from langchain_core.runnables.history import RunnableWithMessageHistory\n",
    "from langchain_core.tools import tool\n",
--- a/docs/docs/how_to/multi_vector.ipynb
+++ b/docs/docs/how_to/multi_vector.ipynb
@ -423,7 +423,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.output_parsers.openai_functions import JsonKeyOutputFunctionsParser\n",
+    "from langchain_core.output_parsers.openai_functions import JsonKeyOutputFunctionsParser\n",
    "\n",
    "chain = (\n",
    "    {\"doc\": lambda x: x.page_content}\n",
--- a/docs/docs/how_to/output_parser_fixing.ipynb
+++ b/docs/docs/how_to/output_parser_fixing.ipynb
@ -23,7 +23,7 @@
   "source": [
    "from typing import List\n",
    "\n",
-    "from langchain.output_parsers import PydanticOutputParser\n",
+    "from langchain_core.output_parsers import PydanticOutputParser\n",
    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
    "from langchain_openai import ChatOpenAI"
   ]
--- a/docs/docs/how_to/output_parser_retry.ipynb
+++ b/docs/docs/how_to/output_parser_retry.ipynb
@ -17,13 +17,9 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.output_parsers import (\n",
-    "    OutputFixingParser,\n",
-    "    PydanticOutputParser,\n",
-    ")\n",
-    "from langchain.prompts import (\n",
-    "    PromptTemplate,\n",
-    ")\n",
+    "from langchain.output_parsers import OutputFixingParser\n",
+    "from langchain_core.output_parsers import PydanticOutputParser\n",
+    "from langchain_core.prompts import PromptTemplate\n",
    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
    "from langchain_openai import ChatOpenAI, OpenAI"
   ]
--- a/docs/docs/how_to/query_multiple_queries.ipynb
+++ b/docs/docs/how_to/query_multiple_queries.ipynb
@ -83,9 +83,9 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "from langchain_chroma import Chroma\n",
    "from langchain_openai import OpenAIEmbeddings\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
    "\n",
    "texts = [\"Harrison worked at Kensho\", \"Ankush worked at Facebook\"]\n",
    "embeddings = OpenAIEmbeddings(model=\"text-embedding-3-small\")\n",
--- a/docs/docs/how_to/query_multiple_retrievers.ipynb
+++ b/docs/docs/how_to/query_multiple_retrievers.ipynb
@ -83,9 +83,9 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "from langchain_chroma import Chroma\n",
    "from langchain_openai import OpenAIEmbeddings\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
    "\n",
    "texts = [\"Harrison worked at Kensho\"]\n",
    "embeddings = OpenAIEmbeddings(model=\"text-embedding-3-small\")\n",
--- a/docs/docs/how_to/query_no_queries.ipynb
+++ b/docs/docs/how_to/query_no_queries.ipynb
@ -85,9 +85,9 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "from langchain_chroma import Chroma\n",
    "from langchain_openai import OpenAIEmbeddings\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
    "\n",
    "texts = [\"Harrison worked at Kensho\"]\n",
    "embeddings = OpenAIEmbeddings(model=\"text-embedding-3-small\")\n",
--- a/docs/docs/how_to/routing.ipynb
+++ b/docs/docs/how_to/routing.ipynb
@ -335,7 +335,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "from langchain.utils.math import cosine_similarity\n",
+    "from langchain_community.utils.math import cosine_similarity\n",
    "from langchain_core.output_parsers import StrOutputParser\n",
    "from langchain_core.prompts import PromptTemplate\n",
    "from langchain_core.runnables import RunnableLambda, RunnablePassthrough\n",
--- a/docs/docs/how_to/sql_csv.ipynb
+++ b/docs/docs/how_to/sql_csv.ipynb
@ -428,7 +428,7 @@
    }
   ],
   "source": [
-    "from langchain.output_parsers.openai_tools import JsonOutputKeyToolsParser\n",
+    "from langchain_core.output_parsers.openai_tools import JsonOutputKeyToolsParser\n",
    "\n",
    "parser = JsonOutputKeyToolsParser(key_name=tool.name, first_tool_only=True)\n",
    "(llm_with_tools | parser).invoke(\n",
--- a/docs/docs/how_to/time_weighted_vectorstore.ipynb
+++ b/docs/docs/how_to/time_weighted_vectorstore.ipynb
@ -205,7 +205,7 @@
   "source": [
    "import datetime\n",
    "\n",
-    "from langchain.utils import mock_now"
+    "from langchain_core.utils import mock_now"
   ]
  },
  {