update all possible dependencies

libs/langchain/tests/integration_tests/agent/test_powerbi_agent.py

@@ -2,8 +2,7 @@ import pytest
 from langchain_community.agent_toolkits import PowerBIToolkit, create_pbi_agent
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.utilities.powerbi import PowerBIDataset
-
-from langchain.utils import get_from_env
+from langchain_core.utils import get_from_env
 
 
 def azure_installed() -> bool:

libs/langchain/tests/integration_tests/cache/test_astradb.py

@@ -15,12 +15,12 @@ import os
 from typing import AsyncIterator, Iterator
 
 import pytest
+from langchain_community.cache import AstraDBCache, AstraDBSemanticCache
 from langchain_community.utilities.astradb import SetupMode
 from langchain_core.caches import BaseCache
 from langchain_core.language_models import LLM
 from langchain_core.outputs import Generation, LLMResult
 
-from langchain.cache import AstraDBCache, AstraDBSemanticCache
 from langchain.globals import get_llm_cache, set_llm_cache
 from tests.integration_tests.cache.fake_embeddings import FakeEmbeddings
 from tests.unit_tests.llms.fake_llm import FakeLLM

libs/langchain/tests/integration_tests/cache/test_cassandra.py

@@ -5,10 +5,10 @@ import time
 from typing import Any, Iterator, Tuple
 
 import pytest
+from langchain_community.cache import CassandraCache, CassandraSemanticCache
 from langchain_community.utilities.cassandra import SetupMode
 from langchain_core.outputs import Generation, LLMResult
 
-from langchain.cache import CassandraCache, CassandraSemanticCache
 from langchain.globals import get_llm_cache, set_llm_cache
 from tests.integration_tests.cache.fake_embeddings import FakeEmbeddings
 from tests.unit_tests.llms.fake_llm import FakeLLM

libs/langchain/tests/integration_tests/cache/test_gptcache.py

@@ -2,9 +2,9 @@ import os
 from typing import Any, Callable, Union
 
 import pytest
+from langchain_community.cache import GPTCache
 from langchain_core.outputs import Generation
 
-from langchain.cache import GPTCache
 from langchain.globals import get_llm_cache, set_llm_cache
 from tests.unit_tests.llms.fake_llm import FakeLLM
 

libs/langchain/tests/integration_tests/cache/test_momento_cache.py

@@ -11,9 +11,9 @@ from datetime import timedelta
 from typing import Iterator
 
 import pytest
+from langchain_community.cache import MomentoCache
 from langchain_core.outputs import Generation, LLMResult
 
-from langchain.cache import MomentoCache
 from langchain.globals import set_llm_cache
 from tests.unit_tests.llms.fake_llm import FakeLLM
 

libs/langchain/tests/integration_tests/cache/test_upstash_redis_cache.py

@@ -2,10 +2,10 @@
 import uuid
 
 import pytest
+from langchain_community.cache import UpstashRedisCache
 from langchain_core.outputs import Generation, LLMResult
 
 import langchain
-from langchain.cache import UpstashRedisCache
 from tests.unit_tests.llms.fake_chat_model import FakeChatModel
 from tests.unit_tests.llms.fake_llm import FakeLLM
 

libs/langchain/tests/integration_tests/chains/test_react.py

@@ -1,9 +1,9 @@
 """Integration test for self ask with search."""
 
+from langchain_community.docstore import Wikipedia
 from langchain_community.llms.openai import OpenAI
 
 from langchain.agents.react.base import ReActChain
-from langchain.docstore.wikipedia import Wikipedia
 
 
 def test_react() -> None:

libs/langchain/tests/integration_tests/memory/test_singlestoredb.py

@@ -1,8 +1,9 @@
 import json
 
+from langchain_community.chat_message_histories import SingleStoreDBChatMessageHistory
 from langchain_core.messages import message_to_dict
 
-from langchain.memory import ConversationBufferMemory, SingleStoreDBChatMessageHistory
+from langchain.memory import ConversationBufferMemory
 
 # Replace these with your mongodb connection string
 TEST_SINGLESTOREDB_URL = "root:pass@localhost:3306/db"

libs/langchain/tests/integration_tests/prompts/test_ngram_overlap_example_selector.py

@@ -1,12 +1,11 @@
 """Test functionality related to ngram overlap based selector."""
 
 import pytest
-from langchain_core.prompts import PromptTemplate
-
-from langchain.prompts.example_selector.ngram_overlap import (
+from langchain_community.example_selectors import (
     NGramOverlapExampleSelector,
     ngram_overlap_score,
 )
+from langchain_core.prompts import PromptTemplate
 
 EXAMPLES = [
     {"input": "See Spot run.", "output": "foo1"},

libs/langchain/tests/unit_tests/agents/test_agent.py

@@ -21,7 +21,7 @@ from langchain_core.messages import (
 )
 from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_core.runnables.utils import add
-from langchain_core.tools import Tool
+from langchain_core.tools import Tool, tool
 from langchain_core.tracers import RunLog, RunLogPatch
 
 from langchain.agents import (
@@ -33,7 +33,6 @@ from langchain.agents import (
     initialize_agent,
 )
 from langchain.agents.output_parsers.openai_tools import OpenAIToolAgentAction
-from langchain.tools import tool
 from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 from tests.unit_tests.llms.fake_chat_model import GenericFakeChatModel
 from tests.unit_tests.stubs import AnyStr

libs/langchain/tests/unit_tests/agents/test_react.py

@@ -2,6 +2,7 @@
 
 from typing import Union
 
+from langchain_community.docstore.base import Docstore
 from langchain_core.agents import AgentAction
 from langchain_core.documents import Document
 from langchain_core.language_models import FakeListLLM
@@ -9,7 +10,6 @@ from langchain_core.prompts.prompt import PromptTemplate
 from langchain_core.tools import Tool
 
 from langchain.agents.react.base import ReActChain, ReActDocstoreAgent
-from langchain.docstore.base import Docstore
 
 _PAGE_CONTENT = """This is a page about LangChain.
 

libs/langchain/tests/unit_tests/document_loaders/test_base.py

@@ -1,8 +1,7 @@
 """Test Base Schema of documents."""
 from typing import Iterator
 
-from langchain_community.document_loaders.base import BaseBlobParser
-from langchain_community.document_loaders.blob_loaders import Blob
+from langchain_core.document_loaders import BaseBlobParser, Blob
 from langchain_core.documents import Document
 
 

libs/langchain/tests/unit_tests/indexes/test_indexing.py

@@ -14,7 +14,7 @@ from unittest.mock import patch
 
 import pytest
 import pytest_asyncio
-from langchain_community.document_loaders.base import BaseLoader
+from langchain_core.document_loaders import BaseLoader
 from langchain_core.documents import Document
 from langchain_core.embeddings import Embeddings
 from langchain_core.vectorstores import VST, VectorStore

libs/langchain/tests/unit_tests/llms/test_base.py

@@ -1,4 +1,5 @@
 """Test base LLM functionality."""
+from langchain_community.cache import SQLAlchemyCache
 from sqlalchemy import Column, Integer, Sequence, String, create_engine
 
 try:
@@ -9,7 +10,6 @@ except ImportError:
 from langchain_core.caches import InMemoryCache
 from langchain_core.outputs import Generation, LLMResult
 
-from langchain.cache import SQLAlchemyCache
 from langchain.globals import get_llm_cache, set_llm_cache
 from langchain.llms.base import __all__
 from tests.unit_tests.llms.fake_llm import FakeLLM

libs/langchain/tests/unit_tests/llms/test_imports.py

@@ -1,5 +1,6 @@
+from langchain_core.language_models import BaseLLM
+
 from langchain import llms
-from langchain.llms.base import BaseLLM
 
 EXPECT_ALL = [
     "AI21",

libs/langchain/tests/unit_tests/output_parsers/test_pandas_dataframe_parser.py

@@ -1,8 +1,8 @@
 """Test PandasDataframeParser"""
 import pandas as pd
+from langchain_core.exceptions import OutputParserException
 
 from langchain.output_parsers.pandas_dataframe import PandasDataFrameOutputParser
-from langchain.schema import OutputParserException
 
 df = pd.DataFrame(
     {"chicken": [1, 2, 3, 4], "veggies": [5, 4, 3, 2], "steak": [9, 8, 7, 6]}

libs/langchain/tests/unit_tests/output_parsers/test_pydantic_parser.py

@@ -4,10 +4,9 @@ from enum import Enum
 from typing import Optional
 
 from langchain_core.exceptions import OutputParserException
+from langchain_core.output_parsers import PydanticOutputParser
 from langchain_core.pydantic_v1 import BaseModel, Field
 
-from langchain.output_parsers.pydantic import PydanticOutputParser
-
 
 class Actions(Enum):
     SEARCH = "Search"

libs/langchain/tests/unit_tests/retrievers/test_ensemble.py

@@ -1,9 +1,8 @@
 import pytest
+from langchain_community.embeddings import FakeEmbeddings
+from langchain_community.retrievers import BM25Retriever, KNNRetriever, TFIDFRetriever
 from langchain_core.documents import Document
 
-from langchain.embeddings import FakeEmbeddings
-from langchain.retrievers import KNNRetriever, TFIDFRetriever
-from langchain.retrievers.bm25 import BM25Retriever
 from langchain.retrievers.ensemble import EnsembleRetriever
 
 

libs/langchain/tests/unit_tests/test_cache.py

@@ -4,6 +4,7 @@ from typing import Dict, Generator, List, Union
 
 import pytest
 from _pytest.fixtures import FixtureRequest
+from langchain_community.cache import SQLAlchemyCache
 from langchain_core.caches import InMemoryCache
 from langchain_core.language_models import FakeListChatModel, FakeListLLM
 from langchain_core.language_models.chat_models import BaseChatModel
@@ -14,7 +15,6 @@ from langchain_core.outputs import ChatGeneration, Generation
 from sqlalchemy import create_engine
 from sqlalchemy.orm import Session
 
-from langchain.cache import SQLAlchemyCache
 from langchain.globals import get_llm_cache, set_llm_cache
 
 

libs/langchain/tests/unit_tests/test_dependencies.py

@@ -101,6 +101,8 @@ def test_imports() -> None:
     from langchain_community.document_loaders import BSHTMLLoader  # noqa: F401
     from langchain_community.embeddings import OpenAIEmbeddings  # noqa: F401
     from langchain_community.llms import OpenAI  # noqa: F401
+    from langchain_community.retrievers import VespaRetriever  # noqa: F401
+    from langchain_community.tools import DuckDuckGoSearchResults  # noqa: F401
     from langchain_community.utilities import (
         SearchApiAPIWrapper,  # noqa: F401
         SerpAPIWrapper,  # noqa: F401
@@ -110,5 +112,3 @@ def test_imports() -> None:
 
     from langchain.agents import OpenAIFunctionsAgent  # noqa: F401
     from langchain.chains import LLMChain  # noqa: F401
-    from langchain.retrievers import VespaRetriever  # noqa: F401
-    from langchain.tools import DuckDuckGoSearchResults  # noqa: F401

libs/langchain/tests/unit_tests/test_document_transformers.py

@@ -2,8 +2,7 @@
 from langchain_community.document_transformers.embeddings_redundant_filter import (
     _filter_similar_embeddings,
 )
-
-from langchain.utils.math import cosine_similarity
+from langchain_community.utils.math import cosine_similarity
 
 
 def test__filter_similar_embeddings() -> None:

libs/langchain/tests/unit_tests/utils/test_openai_functions.py

@@ -1,6 +1,5 @@
 from langchain_core.pydantic_v1 import BaseModel, Field
-
-from langchain.utils.openai_functions import convert_pydantic_to_openai_function
+from langchain_core.utils.function_calling import convert_pydantic_to_openai_function
 
 
 def test_convert_pydantic_to_openai_function() -> None: