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docs, community[patch], experimental[patch], langchain[patch], cli[pa… (#15412)

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…tch]: import models from community

ran
```bash
git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g"
git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g"
git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g"
git checkout master libs/langchain/tests/unit_tests/llms
git checkout master libs/langchain/tests/unit_tests/chat_models
git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py
make format
cd libs/langchain; make format
cd ../experimental; make format
cd ../core; make format
```
pull/15427/head
Bagatur 4 months ago committed by GitHub
parent 9cbf14dec2
commit 480626dc99
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GPG Key ID: 4AEE18F83AFDEB23
841 changed files with 1636 additions and 1598 deletions
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4
cookbook/LLaMA2_sql_chat.ipynb
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@ -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",

4
cookbook/Multi_modal_RAG.ipynb
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@ -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_core.documents import Document\n",
"\n",
"\n",

6
cookbook/Multi_modal_RAG_google.ipynb
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@ -158,9 +158,9 @@
}
],
"source": [
"from langchain.chat_models import ChatVertexAI\n",
"from langchain.llms import VertexAI\n",
"from langchain.prompts import PromptTemplate\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",
@ -342,10 +342,10 @@
"source": [
"import uuid\n",
"\n",
"from langchain.embeddings import VertexAIEmbeddings\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 VertexAIEmbeddings\n",
"from langchain_core.documents import Document\n",
"\n",
"\n",

4
cookbook/Semi_Structured_RAG.ipynb
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@ -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_core.documents import Document\n",
"\n",
"# The vectorstore to use to index the child chunks\n",

4
cookbook/Semi_structured_and_multi_modal_RAG.ipynb
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@ -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_core.documents import Document\n",
"\n",
"# The vectorstore to use to index the child chunks\n",

4
cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb
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@ -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_core.documents import Document\n",
"\n",
"# The vectorstore to use to index the child chunks\n",

4
cookbook/advanced_rag_eval.ipynb
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@ -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",
"\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",

6
cookbook/agent_vectorstore.ipynb
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@ -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",
"\n",
"llm = OpenAI(temperature=0)"
]
@ -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"
]
},
{

2
cookbook/analyze_document.ipynb
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@ -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)"
]

6
cookbook/autogpt/autogpt.ipynb
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@ -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.vectorstores import FAISS\n",
"from langchain_community.embeddings import OpenAIEmbeddings"
]
},
{
@ -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"
]
},

4
cookbook/autogpt/marathon_times.ipynb
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@ -40,8 +40,8 @@
"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.chat_models import ChatOpenAI\n",
"from langchain_experimental.autonomous_agents import AutoGPT\n",
"\n",
"# Needed synce jupyter runs an async eventloop\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",
"\n",
"embeddings_model = OpenAIEmbeddings()\n",
"embedding_size = 1536\n",

4
cookbook/baby_agi.ipynb
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@ -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"
]
},

6
cookbook/baby_agi_with_agent.ipynb
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@ -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"
]
},
@ -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",
"\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",

4
cookbook/camel_role_playing.ipynb
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@ -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"
]
},
{

2
cookbook/causal_program_aided_language_model.ipynb
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@ -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",

4
cookbook/code-analysis-deeplake.ipynb
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@ -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"
@ -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",

8
cookbook/custom_agent_with_plugin_retrieval.ipynb
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@ -42,10 +42,10 @@
")\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.tools.plugin import AIPlugin\n",
"from langchain_community.llms import OpenAI"
]
},
{
@ -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.vectorstores import FAISS\n",
"from langchain_community.embeddings import OpenAIEmbeddings"
]
},
{

8
cookbook/custom_agent_with_plugin_retrieval_using_plugnplai.ipynb
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@ -67,10 +67,10 @@
")\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.tools.plugin import AIPlugin\n",
"from langchain_community.llms import OpenAI"
]
},
{
@ -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.vectorstores import FAISS\n",
"from langchain_community.embeddings import OpenAIEmbeddings"
]
},
{

8
cookbook/custom_agent_with_tool_retrieval.ipynb
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@ -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.utilities import SerpAPIWrapper\n",
"from langchain_community.llms import OpenAI"
]
},
{
@ -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.vectorstores import FAISS\n",
"from langchain_community.embeddings import OpenAIEmbeddings"
]
},
{

2
cookbook/databricks_sql_db.ipynb
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@ -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\")"
]

4
cookbook/deeplake_semantic_search_over_chat.ipynb
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@ -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",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
"activeloop_token = getpass.getpass(\"Activeloop Token:\")\n",

4
cookbook/docugami_xml_kg_rag.ipynb
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@ -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_core.documents import Document\n",
"\n",
"\n",

2
cookbook/elasticsearch_db_qa.ipynb
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@ -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"
]
},
{

2
cookbook/extraction_openai_tools.ipynb
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@ -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"
]
},

2
cookbook/fake_llm.ipynb
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@ -20,7 +20,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.llms.fake import FakeListLLM"
"from langchain_community.llms.fake import FakeListLLM"
]
},
{

6
cookbook/forward_looking_retrieval_augmented_generation.ipynb
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@ -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.utilities import GoogleSerperAPIWrapper\n",
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_community.llms import OpenAI"
]
},
{

4
cookbook/generative_agents_interactive_simulacra_of_human_behavior.ipynb
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@ -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 termcolor import colored"
]
},

2
cookbook/hugginggpt.ipynb
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@ -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"

2
cookbook/human_approval.ipynb
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@ -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"
]
},
{

2
cookbook/human_input_chat_model.ipynb
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@ -20,7 +20,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.chat_models.human import HumanInputChatModel"
"from langchain_community.chat_models.human import HumanInputChatModel"
]
},
{

2
cookbook/human_input_llm.ipynb
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@ -19,7 +19,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.llms.human import HumanInputLLM"
"from langchain_community.llms.human import HumanInputLLM"
]
},
{

6
cookbook/hypothetical_document_embeddings.ipynb
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@ -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"
]
},
{

2
cookbook/learned_prompt_optimization.ipynb
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@ -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\")"
]

2
cookbook/llm_bash.ipynb
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@ -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",

2
cookbook/llm_checker.ipynb
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@ -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",

2
cookbook/llm_math.ipynb
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@ -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",

6
cookbook/llm_summarization_checker.ipynb
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@ -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",

2
cookbook/llm_symbolic_math.ipynb
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@ -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",

4
cookbook/meta_prompt.ipynb
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@ -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"
]
},
{

2
cookbook/multi_modal_QA.ipynb
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@ -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"
]
},

2
cookbook/multi_modal_RAG_chroma.ipynb
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@ -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",

4
cookbook/multi_modal_output_agent.ipynb
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@ -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"
]
},
{

4
cookbook/multi_player_dnd.ipynb
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@ -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"
]
},
{

4
cookbook/multiagent_authoritarian.ipynb
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@ -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"
]
},
{

4
cookbook/multiagent_bidding.ipynb
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@ -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"
]
},
{

8
cookbook/myscale_vector_sql.ipynb
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@ -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_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_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",

8
cookbook/openai_functions_retrieval_qa.ipynb
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@ -21,9 +21,9 @@
"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.vectorstores import Chroma\n",
"from langchain_community.embeddings.openai import OpenAIEmbeddings"
]
},
{
@ -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"
]
},
{

4
cookbook/openai_v1_cookbook.ipynb
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@ -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",

4
cookbook/petting_zoo.ipynb
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@ -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"
]
},
{

4
cookbook/plan_and_execute_agent.ipynb
Unescape Escape View File

@ -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_core.tools import Tool\n",
"from langchain_experimental.plan_and_execute import (\n",
" PlanAndExecute,\n",

2
cookbook/press_releases.ipynb
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@ -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",

2
cookbook/program_aided_language_model.ipynb
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@ -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"
]
},

2
cookbook/qa_citations.ipynb
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@ -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"
]
},
{

6
cookbook/qianfan_baidu_elasticesearch_RAG.ipynb
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@ -60,10 +60,10 @@
"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.vectorstores import BESVectorStore\n",
"from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings\n",
"from langchain_community.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint"
]
},
{

4
cookbook/rag_fusion.ipynb
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@ -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",
"\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"
]
},

6
cookbook/retrieval_in_sql.ipynb
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@ -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",

2
cookbook/rewrite.ipynb
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@ -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_core.output_parsers import StrOutputParser\n",
"from langchain_core.runnables import RunnablePassthrough"
]

6
cookbook/sales_agent_with_context.ipynb
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@ -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 pydantic import BaseModel, Field"
]
},

2
cookbook/selecting_llms_based_on_context_length.ipynb
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@ -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"
]

4
cookbook/self_query_hotel_search.ipynb
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@ -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",
"\n",
"embeddings = OpenAIEmbeddings()"
]

4
cookbook/sharedmemory_for_tools.ipynb
Unescape Escape View File

@ -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.utilities import GoogleSearchAPIWrapper\n",
"from langchain_community.llms import OpenAI"
]
},
{

2
cookbook/smart_llm.ipynb
Unescape Escape View File

@ -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"
]
},

8
cookbook/sql_db_qa.mdx
Unescape Escape View File

@ -9,7 +9,7 @@ To set it up, follow the instructions on https://database.guide/2-sample-databas
```python
from langchain.llms import OpenAI
from langchain_community.llms import OpenAI
from langchain.utilities import SQLDatabase
from langchain_experimental.sql import SQLDatabaseChain
```
@ -200,7 +200,7 @@ result["intermediate_steps"]
How to add memory to a SQLDatabaseChain:
```python
from langchain.llms import OpenAI
from langchain_community.llms import OpenAI
from langchain.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"
@ -994,7 +994,7 @@ 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

2
cookbook/stepback-qa.ipynb
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@ -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"
]

2
cookbook/tree_of_thought.ipynb
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@ -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\")"
]

4
cookbook/twitter-the-algorithm-analysis-deeplake.ipynb
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@ -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",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
"activeloop_token = getpass.getpass(\"Activeloop Token:\")\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)"

4
cookbook/two_agent_debate_tools.ipynb
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@ -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"
]
},
{

4
cookbook/two_player_dnd.ipynb
Unescape Escape View File

@ -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"
]
},
{

2
cookbook/wikibase_agent.ipynb
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@ -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)"
]

6
docs/docs/_templates/integration.mdx vendored
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@ -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

2
docs/docs/expression_language/cookbook/agent.ipynb
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@ -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"
]
},
{

2
docs/docs/expression_language/cookbook/code_writing.ipynb
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@ -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"
]

4
docs/docs/expression_language/cookbook/embedding_router.ipynb
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@ -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",

2
docs/docs/expression_language/cookbook/memory.ipynb
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@ -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",

4
docs/docs/expression_language/cookbook/moderation.ipynb
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@ -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"
]
},
{

2
docs/docs/expression_language/cookbook/multiple_chains.ipynb
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@ -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",

2
docs/docs/expression_language/cookbook/prompt_llm_parser.ipynb
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@ -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",

4
docs/docs/expression_language/cookbook/prompt_size.ipynb
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@ -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.utilities import WikipediaAPIWrapper\n",
"from langchain_community.chat_models import ChatOpenAI"
]
},
{

4
docs/docs/expression_language/cookbook/retrieval.ipynb
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@ -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_core.output_parsers import StrOutputParser\n",
"from langchain_core.runnables import RunnableLambda, RunnablePassthrough"
]

2
docs/docs/expression_language/cookbook/sql_db.ipynb
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@ -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",

2
docs/docs/expression_language/cookbook/tools.ipynb
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@ -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"
]
},

8
docs/docs/expression_language/get_started.ipynb
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@ -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_core.output_parsers import StrOutputParser\n",
"from langchain_core.runnables import RunnableParallel, RunnablePassthrough\n",
"\n",

2
docs/docs/expression_language/how_to/binding.ipynb
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@ -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"
]
},

4
docs/docs/expression_language/how_to/configure.ipynb
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@ -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"
]
},

4
docs/docs/expression_language/how_to/fallbacks.ipynb
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@ -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",

2
docs/docs/expression_language/how_to/functions.ipynb
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@ -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",

2
docs/docs/expression_language/how_to/generators.ipynb
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@ -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",

10
docs/docs/expression_language/how_to/map.ipynb
Unescape Escape View File

@ -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_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_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",

2
docs/docs/expression_language/how_to/message_history.ipynb
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@ -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_models import ChatAnthropic\n",
"from langchain_core.chat_history import BaseChatMessageHistory\n",
"from langchain_core.runnables.history import RunnableWithMessageHistory"
]

4
docs/docs/expression_language/how_to/passthrough.ipynb
Unescape Escape View File

@ -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_core.output_parsers import StrOutputParser\n",
"from langchain_core.runnables import RunnablePassthrough\n",
"\n",

3
docs/docs/expression_language/how_to/routing.ipynb
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@ -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"
]
},

4
docs/docs/expression_language/interface.ipynb
Unescape Escape View File

@ -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_core.output_parsers import StrOutputParser\n",
"from langchain_core.runnables import RunnablePassthrough\n",
"\n",

10
docs/docs/expression_language/why.ipynb
Unescape Escape View File

@ -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",

12
docs/docs/get_started/quickstart.mdx
Unescape Escape View File

@ -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")
```
@ -412,7 +412,7 @@ 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 +476,14 @@ 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

2
docs/docs/guides/debugging.md
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@ -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)

2
docs/docs/guides/evaluation/comparison/custom.ipynb
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@ -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",

2
docs/docs/guides/evaluation/comparison/pairwise_embedding_distance.ipynb
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@ -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)"

2
docs/docs/guides/evaluation/comparison/pairwise_string.ipynb
Unescape Escape View File

@ -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",

2
docs/docs/guides/evaluation/examples/comparisons.ipynb
Unescape Escape View File

@ -99,8 +99,8 @@
"outputs": [],
"source": [
"from langchain.agents import AgentType, Tool, initialize_agent\n",
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.utilities import SerpAPIWrapper\n",
"from langchain_community.chat_models import ChatOpenAI\n",
"\n",
"# Initialize the language model\n",
"# You can add your own OpenAI API key by adding openai_api_key=\"<your_api_key>\"\n",

2
docs/docs/guides/evaluation/string/criteria_eval_chain.ipynb
Unescape Escape View File

@ -331,7 +331,7 @@
},
"outputs": [],
"source": [
"from langchain.chat_models import ChatAnthropic\n",
"from langchain_community.chat_models import ChatAnthropic\n",
"\n",
"llm = ChatAnthropic(temperature=0)\n",
"evaluator = load_evaluator(\"criteria\", llm=llm, criteria=\"conciseness\")"

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