add more import checks (#11033)

libs/langchain/langchain/adapters/openai.py

@@ -15,7 +15,7 @@ from typing import (
 
 from typing_extensions import Literal
 
-from langchain.chat_loaders.base import ChatSession
+from langchain.schema.chat import ChatSession
 from langchain.schema.messages import (
     AIMessage,
     AIMessageChunk,

libs/langchain/langchain/chat_loaders/base.py

@@ -1,15 +1,7 @@
 from abc import ABC, abstractmethod
-from typing import Iterator, List, Sequence, TypedDict
+from typing import Iterator, List
 
-from langchain.schema.messages import BaseMessage
+from langchain.schema.chat import ChatSession
-
-
-class ChatSession(TypedDict):
-    """Chat Session represents a single
-    conversation, channel, or other group of messages."""
-
-    messages: Sequence[BaseMessage]
-    """The LangChain chat messages loaded from the source."""
 
 
 class BaseChatLoader(ABC):

libs/langchain/langchain/chat_loaders/facebook_messenger.py

@@ -3,7 +3,8 @@ import logging
 from pathlib import Path
 from typing import Iterator, Union
 
-from langchain.chat_loaders.base import BaseChatLoader, ChatSession
+from langchain.chat_loaders.base import BaseChatLoader
+from langchain.schema.chat import ChatSession
 from langchain.schema.messages import HumanMessage
 
 logger = logging.getLogger(__file__)

libs/langchain/langchain/chat_loaders/gmail.py

@@ -2,7 +2,8 @@ import base64
 import re
 from typing import Any, Iterator
 
-from langchain.chat_loaders.base import BaseChatLoader, ChatSession
+from langchain.chat_loaders.base import BaseChatLoader
+from langchain.schema.chat import ChatSession
 from langchain.schema.messages import HumanMessage
 
 

libs/langchain/langchain/chat_loaders/imessage.py

@@ -3,8 +3,9 @@ from __future__ import annotations
 from pathlib import Path
 from typing import TYPE_CHECKING, Iterator, List, Optional, Union
 
-from langchain.chat_loaders.base import BaseChatLoader, ChatSession
+from langchain.chat_loaders.base import BaseChatLoader
 from langchain.schema import HumanMessage
+from langchain.schema.chat import ChatSession
 
 if TYPE_CHECKING:
     import sqlite3

libs/langchain/langchain/chat_loaders/slack.py

@@ -5,8 +5,9 @@ import zipfile
 from pathlib import Path
 from typing import Dict, Iterator, List, Union
 
-from langchain.chat_loaders.base import BaseChatLoader, ChatSession
+from langchain.chat_loaders.base import BaseChatLoader
 from langchain.schema import AIMessage, HumanMessage
+from langchain.schema.chat import ChatSession
 
 logger = logging.getLogger(__name__)
 

libs/langchain/langchain/chat_loaders/telegram.py

@@ -6,8 +6,9 @@ import zipfile
 from pathlib import Path
 from typing import Iterator, List, Union
 
-from langchain.chat_loaders.base import BaseChatLoader, ChatSession
+from langchain.chat_loaders.base import BaseChatLoader
 from langchain.schema import AIMessage, BaseMessage, HumanMessage
+from langchain.schema.chat import ChatSession
 
 logger = logging.getLogger(__name__)
 

libs/langchain/langchain/chat_loaders/utils.py

@@ -2,7 +2,7 @@
 from copy import deepcopy
 from typing import Iterable, Iterator, List
 
-from langchain.chat_loaders.base import ChatSession
+from langchain.schema.chat import ChatSession
 from langchain.schema.messages import AIMessage, BaseMessage
 
 

libs/langchain/langchain/chat_loaders/whatsapp.py

@@ -4,8 +4,9 @@ import re
 import zipfile
 from typing import Iterator, List, Union
 
-from langchain.chat_loaders.base import BaseChatLoader, ChatSession
+from langchain.chat_loaders.base import BaseChatLoader
 from langchain.schema import AIMessage, HumanMessage
+from langchain.schema.chat import ChatSession
 
 logger = logging.getLogger(__name__)
 

libs/langchain/langchain/embeddings/edenai.py

@@ -1,8 +1,8 @@
 from typing import Any, Dict, List, Optional
 
 from langchain.pydantic_v1 import BaseModel, Extra, Field, root_validator
-from langchain.requests import Requests
 from langchain.schema.embeddings import Embeddings
+from langchain.utilities.requests import Requests
 from langchain.utils import get_from_dict_or_env
 
 

libs/langchain/langchain/llms/edenai.py

@@ -11,7 +11,7 @@ from langchain.callbacks.manager import (
 from langchain.llms.base import LLM
 from langchain.llms.utils import enforce_stop_tokens
 from langchain.pydantic_v1 import Extra, Field, root_validator
-from langchain.requests import Requests
+from langchain.utilities.requests import Requests
 from langchain.utils import get_from_dict_or_env
 
 logger = logging.getLogger(__name__)

libs/langchain/langchain/prompts/base.py

@@ -5,10 +5,10 @@ import warnings
 from abc import ABC
 from typing import Any, Callable, Dict, List, Set
 
-from langchain.formatting import formatter
 from langchain.schema.messages import BaseMessage, HumanMessage
 from langchain.schema.prompt import PromptValue
 from langchain.schema.prompt_template import BasePromptTemplate
+from langchain.utils.formatting import formatter
 
 
 def jinja2_formatter(template: str, **kwargs: Any) -> str:

libs/langchain/langchain/prompts/loading.py

@@ -6,11 +6,10 @@ from typing import Callable, Dict, Union
 
 import yaml
 
-from langchain.output_parsers.regex import RegexParser
 from langchain.prompts.few_shot import FewShotPromptTemplate
 from langchain.prompts.prompt import PromptTemplate
 from langchain.schema import BaseLLMOutputParser, BasePromptTemplate, StrOutputParser
-from langchain.utilities.loading import try_load_from_hub
+from langchain.utils.loading import try_load_from_hub
 
 URL_BASE = "https://raw.githubusercontent.com/hwchase17/langchain-hub/master/prompts/"
 logger = logging.getLogger(__name__)
@@ -77,6 +76,8 @@ def _load_output_parser(config: dict) -> dict:
         _config = config.pop("output_parser")
         output_parser_type = _config.pop("_type")
         if output_parser_type == "regex_parser":
+            from langchain.output_parsers.regex import RegexParser
+
             output_parser: BaseLLMOutputParser = RegexParser(**_config)
         elif output_parser_type == "default":
             output_parser = StrOutputParser(**_config)

libs/langchain/langchain/schema/chat.py

@@ -0,0 +1,11 @@
+from typing import Sequence, TypedDict
+
+from langchain.schema import BaseMessage
+
+
+class ChatSession(TypedDict):
+    """Chat Session represents a single
+    conversation, channel, or other group of messages."""
+
+    messages: Sequence[BaseMessage]
+    """The LangChain chat messages loaded from the source."""

libs/langchain/langchain/schema/runnable/base.py

@@ -32,10 +32,9 @@ if TYPE_CHECKING:
         AsyncCallbackManagerForChainRun,
         CallbackManagerForChainRun,
     )
+    from langchain.callbacks.tracers.log_stream import RunLogPatch
 
 
-from langchain.callbacks.base import BaseCallbackManager
-from langchain.callbacks.tracers.log_stream import LogStreamCallbackHandler, RunLogPatch
 from langchain.load.dump import dumpd
 from langchain.load.serializable import Serializable
 from langchain.pydantic_v1 import Field
@@ -216,6 +215,12 @@ class Runnable(Generic[Input, Output], ABC):
         The jsonpatch ops can be applied in order to construct state.
         """
 
+        from langchain.callbacks.base import BaseCallbackManager
+        from langchain.callbacks.tracers.log_stream import (
+            LogStreamCallbackHandler,
+            RunLogPatch,
+        )
+
         # Create a stream handler that will emit Log objects
         stream = LogStreamCallbackHandler(
             auto_close=False,

libs/langchain/langchain/schema/runnable/retry.py

@@ -1,4 +1,15 @@
-from typing import Any, Dict, List, Optional, Tuple, Type, TypeVar, Union, cast
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Dict,
+    List,
+    Optional,
+    Tuple,
+    Type,
+    TypeVar,
+    Union,
+    cast,
+)
 
 from tenacity import (
     AsyncRetrying,
@@ -10,14 +21,16 @@ from tenacity import (
     wait_exponential_jitter,
 )
 
-from langchain.callbacks.manager import (
-    AsyncCallbackManagerForChainRun,
-    CallbackManagerForChainRun,
-)
 from langchain.schema.runnable.base import Input, Output, RunnableBinding
 from langchain.schema.runnable.config import RunnableConfig, patch_config
 
-T = TypeVar("T", CallbackManagerForChainRun, AsyncCallbackManagerForChainRun)
+if TYPE_CHECKING:
+    from langchain.callbacks.manager import (
+        AsyncCallbackManagerForChainRun,
+        CallbackManagerForChainRun,
+    )
+
+    T = TypeVar("T", CallbackManagerForChainRun, AsyncCallbackManagerForChainRun)
 U = TypeVar("U")
 
 
@@ -54,7 +67,7 @@ class RunnableRetry(RunnableBinding[Input, Output]):
     def _patch_config(
         self,
         config: RunnableConfig,
-        run_manager: T,
+        run_manager: "T",
         retry_state: RetryCallState,
     ) -> RunnableConfig:
         attempt = retry_state.attempt_number
@@ -64,7 +77,7 @@ class RunnableRetry(RunnableBinding[Input, Output]):
     def _patch_config_list(
         self,
         config: List[RunnableConfig],
-        run_manager: List[T],
+        run_manager: List["T"],
         retry_state: RetryCallState,
     ) -> List[RunnableConfig]:
         return [
@@ -74,7 +87,7 @@ class RunnableRetry(RunnableBinding[Input, Output]):
     def _invoke(
         self,
         input: Input,
-        run_manager: CallbackManagerForChainRun,
+        run_manager: "CallbackManagerForChainRun",
         config: RunnableConfig,
     ) -> Output:
         for attempt in self._sync_retrying(reraise=True):
@@ -95,7 +108,7 @@ class RunnableRetry(RunnableBinding[Input, Output]):
     async def _ainvoke(
         self,
         input: Input,
-        run_manager: AsyncCallbackManagerForChainRun,
+        run_manager: "AsyncCallbackManagerForChainRun",
         config: RunnableConfig,
     ) -> Output:
         async for attempt in self._async_retrying(reraise=True):
@@ -116,7 +129,7 @@ class RunnableRetry(RunnableBinding[Input, Output]):
     def _batch(
         self,
         inputs: List[Input],
-        run_manager: List[CallbackManagerForChainRun],
+        run_manager: List["CallbackManagerForChainRun"],
         config: List[RunnableConfig],
     ) -> List[Union[Output, Exception]]:
         results_map: Dict[int, Output] = {}
@@ -180,7 +193,7 @@ class RunnableRetry(RunnableBinding[Input, Output]):
     async def _abatch(
         self,
         inputs: List[Input],
-        run_manager: List[AsyncCallbackManagerForChainRun],
+        run_manager: List["AsyncCallbackManagerForChainRun"],
         config: List[RunnableConfig],
     ) -> List[Union[Output, Exception]]:
         results_map: Dict[int, Output] = {}

libs/langchain/langchain/utilities/apify.py

@@ -1,10 +1,12 @@
-from typing import Any, Callable, Dict, Optional
+from typing import TYPE_CHECKING, Any, Callable, Dict, Optional
 
-from langchain.document_loaders import ApifyDatasetLoader
-from langchain.document_loaders.base import Document
 from langchain.pydantic_v1 import BaseModel, root_validator
+from langchain.schema.document import Document
 from langchain.utils import get_from_dict_or_env
 
+if TYPE_CHECKING:
+    from langchain.document_loaders import ApifyDatasetLoader
+
 
 class ApifyWrapper(BaseModel):
     """Wrapper around Apify.
@@ -48,7 +50,7 @@ class ApifyWrapper(BaseModel):
         build: Optional[str] = None,
         memory_mbytes: Optional[int] = None,
         timeout_secs: Optional[int] = None,
-    ) -> ApifyDatasetLoader:
+    ) -> "ApifyDatasetLoader":
         """Run an Actor on the Apify platform and wait for results to be ready.
         Args:
             actor_id (str): The ID or name of the Actor on the Apify platform.
@@ -65,6 +67,8 @@ class ApifyWrapper(BaseModel):
             ApifyDatasetLoader: A loader that will fetch the records from the
                 Actor run's default dataset.
         """
+        from langchain.document_loaders import ApifyDatasetLoader
+
         actor_call = self.apify_client.actor(actor_id).call(
             run_input=run_input,
             build=build,
@@ -86,7 +90,7 @@ class ApifyWrapper(BaseModel):
         build: Optional[str] = None,
         memory_mbytes: Optional[int] = None,
         timeout_secs: Optional[int] = None,
-    ) -> ApifyDatasetLoader:
+    ) -> "ApifyDatasetLoader":
         """Run an Actor on the Apify platform and wait for results to be ready.
         Args:
             actor_id (str): The ID or name of the Actor on the Apify platform.
@@ -103,6 +107,8 @@ class ApifyWrapper(BaseModel):
             ApifyDatasetLoader: A loader that will fetch the records from the
                 Actor run's default dataset.
         """
+        from langchain.document_loaders import ApifyDatasetLoader
+
         actor_call = await self.apify_client_async.actor(actor_id).call(
             run_input=run_input,
             build=build,
@@ -124,7 +130,7 @@ class ApifyWrapper(BaseModel):
         build: Optional[str] = None,
         memory_mbytes: Optional[int] = None,
         timeout_secs: Optional[int] = None,
-    ) -> ApifyDatasetLoader:
+    ) -> "ApifyDatasetLoader":
         """Run a saved Actor task on Apify and wait for results to be ready.
         Args:
             task_id (str): The ID or name of the task on the Apify platform.
@@ -142,6 +148,8 @@ class ApifyWrapper(BaseModel):
             ApifyDatasetLoader: A loader that will fetch the records from the
                 task run's default dataset.
         """
+        from langchain.document_loaders import ApifyDatasetLoader
+
         task_call = self.apify_client.task(task_id).call(
             task_input=task_input,
             build=build,
@@ -163,7 +171,7 @@ class ApifyWrapper(BaseModel):
         build: Optional[str] = None,
         memory_mbytes: Optional[int] = None,
         timeout_secs: Optional[int] = None,
-    ) -> ApifyDatasetLoader:
+    ) -> "ApifyDatasetLoader":
         """Run a saved Actor task on Apify and wait for results to be ready.
         Args:
             task_id (str): The ID or name of the task on the Apify platform.
@@ -181,6 +189,8 @@ class ApifyWrapper(BaseModel):
             ApifyDatasetLoader: A loader that will fetch the records from the
                 task run's default dataset.
         """
+        from langchain.document_loaders import ApifyDatasetLoader
+
         task_call = await self.apify_client_async.task(task_id).call(
             task_input=task_input,
             build=build,

libs/langchain/langchain/utilities/loading.py

@@ -1,54 +1,4 @@
-"""Utilities for loading configurations from langchain-hub."""
+from langchain.utils.loading import try_load_from_hub
 
-import os
+# For backwards compatibility
-import re
+__all__ = ["try_load_from_hub"]
-import tempfile
-from pathlib import Path, PurePosixPath
-from typing import Any, Callable, Optional, Set, TypeVar, Union
-from urllib.parse import urljoin
-
-import requests
-
-DEFAULT_REF = os.environ.get("LANGCHAIN_HUB_DEFAULT_REF", "master")
-URL_BASE = os.environ.get(
-    "LANGCHAIN_HUB_URL_BASE",
-    "https://raw.githubusercontent.com/hwchase17/langchain-hub/{ref}/",
-)
-HUB_PATH_RE = re.compile(r"lc(?P<ref>@[^:]+)?://(?P<path>.*)")
-
-T = TypeVar("T")
-
-
-def try_load_from_hub(
-    path: Union[str, Path],
-    loader: Callable[[str], T],
-    valid_prefix: str,
-    valid_suffixes: Set[str],
-    **kwargs: Any,
-) -> Optional[T]:
-    """Load configuration from hub.  Returns None if path is not a hub path."""
-    if not isinstance(path, str) or not (match := HUB_PATH_RE.match(path)):
-        return None
-    ref, remote_path_str = match.groups()
-    ref = ref[1:] if ref else DEFAULT_REF
-    remote_path = Path(remote_path_str)
-    if remote_path.parts[0] != valid_prefix:
-        return None
-    if remote_path.suffix[1:] not in valid_suffixes:
-        raise ValueError(f"Unsupported file type, must be one of {valid_suffixes}.")
-
-    # Using Path with URLs is not recommended, because on Windows
-    # the backslash is used as the path separator, which can cause issues
-    # when working with URLs that use forward slashes as the path separator.
-    # Instead, use PurePosixPath to ensure that forward slashes are used as the
-    # path separator, regardless of the operating system.
-    full_url = urljoin(URL_BASE.format(ref=ref), PurePosixPath(remote_path).__str__())
-
-    r = requests.get(full_url, timeout=5)
-    if r.status_code != 200:
-        raise ValueError(f"Could not find file at {full_url}")
-    with tempfile.TemporaryDirectory() as tmpdirname:
-        file = Path(tmpdirname) / remote_path.name
-        with open(file, "wb") as f:
-            f.write(r.content)
-        return loader(str(file), **kwargs)

libs/langchain/langchain/utils/loading.py

@@ -0,0 +1,54 @@
+"""Utilities for loading configurations from langchain-hub."""
+
+import os
+import re
+import tempfile
+from pathlib import Path, PurePosixPath
+from typing import Any, Callable, Optional, Set, TypeVar, Union
+from urllib.parse import urljoin
+
+import requests
+
+DEFAULT_REF = os.environ.get("LANGCHAIN_HUB_DEFAULT_REF", "master")
+URL_BASE = os.environ.get(
+    "LANGCHAIN_HUB_URL_BASE",
+    "https://raw.githubusercontent.com/hwchase17/langchain-hub/{ref}/",
+)
+HUB_PATH_RE = re.compile(r"lc(?P<ref>@[^:]+)?://(?P<path>.*)")
+
+T = TypeVar("T")
+
+
+def try_load_from_hub(
+    path: Union[str, Path],
+    loader: Callable[[str], T],
+    valid_prefix: str,
+    valid_suffixes: Set[str],
+    **kwargs: Any,
+) -> Optional[T]:
+    """Load configuration from hub.  Returns None if path is not a hub path."""
+    if not isinstance(path, str) or not (match := HUB_PATH_RE.match(path)):
+        return None
+    ref, remote_path_str = match.groups()
+    ref = ref[1:] if ref else DEFAULT_REF
+    remote_path = Path(remote_path_str)
+    if remote_path.parts[0] != valid_prefix:
+        return None
+    if remote_path.suffix[1:] not in valid_suffixes:
+        raise ValueError(f"Unsupported file type, must be one of {valid_suffixes}.")
+
+    # Using Path with URLs is not recommended, because on Windows
+    # the backslash is used as the path separator, which can cause issues
+    # when working with URLs that use forward slashes as the path separator.
+    # Instead, use PurePosixPath to ensure that forward slashes are used as the
+    # path separator, regardless of the operating system.
+    full_url = urljoin(URL_BASE.format(ref=ref), PurePosixPath(remote_path).__str__())
+
+    r = requests.get(full_url, timeout=5)
+    if r.status_code != 200:
+        raise ValueError(f"Could not find file at {full_url}")
+    with tempfile.TemporaryDirectory() as tmpdirname:
+        file = Path(tmpdirname) / remote_path.name
+        with open(file, "wb") as f:
+            f.write(r.content)
+        return loader(str(file), **kwargs)

libs/langchain/langchain/vectorstores/matching_engine.py

@@ -6,8 +6,7 @@ import time
 import uuid
 from typing import TYPE_CHECKING, Any, Iterable, List, Optional, Type
 
-from langchain.docstore.document import Document
+from langchain.schema.document import Document
-from langchain.embeddings import TensorflowHubEmbeddings
 from langchain.schema.embeddings import Embeddings
 from langchain.schema.vectorstore import VectorStore
 
@@ -16,6 +15,8 @@ if TYPE_CHECKING:
     from google.cloud.aiplatform import MatchingEngineIndex, MatchingEngineIndexEndpoint
     from google.oauth2.service_account import Credentials
 
+    from langchain.embeddings import TensorflowHubEmbeddings
+
 logger = logging.getLogger()
 
 
@@ -443,10 +444,13 @@ class MatchingEngine(VectorStore):
         )
 
     @classmethod
-    def _get_default_embeddings(cls) -> TensorflowHubEmbeddings:
+    def _get_default_embeddings(cls) -> "TensorflowHubEmbeddings":
         """This function returns the default embedding.
 
         Returns:
             Default TensorflowHubEmbeddings to use.
         """
+
+        from langchain.embeddings import TensorflowHubEmbeddings
+
         return TensorflowHubEmbeddings()

libs/langchain/langchain/vectorstores/timescalevector.py

@@ -18,8 +18,8 @@ from typing import (
     Union,
 )
 
-from langchain.docstore.document import Document
+from langchain.schema.document import Document
-from langchain.embeddings.base import Embeddings
+from langchain.schema.embeddings import Embeddings
 from langchain.schema.vectorstore import VectorStore
 from langchain.utils import get_from_dict_or_env
 from langchain.vectorstores.utils import DistanceStrategy

libs/langchain/scripts/check_imports.sh

@@ -2,13 +2,31 @@
 
 set -eu
 
-git grep 'from langchain import' langchain | grep -vE 'from langchain import (__version__|hub)' && exit 1 || exit 0
+# Initialize a variable to keep track of errors
+errors=0
 
-# Pydantic bridge should not import from any other module
+# Check the conditions
-git grep 'from langchain ' langchain/pydantic_v1 && exit 1 || exit 0
+git grep '^from langchain import' langchain | grep -vE 'from langchain import (__version__|hub)' && errors=$((errors+1))
+git grep '^from langchain ' langchain/pydantic_v1 | grep -vE 'from langchain.(pydantic_v1)' && errors=$((errors+1))
+git grep '^from langchain' langchain/load | grep -vE 'from langchain.(pydantic_v1|load)' && errors=$((errors+1))
+git grep '^from langchain' langchain/utils | grep -vE 'from langchain.(pydantic_v1|utils)' && errors=$((errors+1))
+git grep '^from langchain' langchain/schema | grep -vE 'from langchain.(pydantic_v1|utils|schema|load)' && errors=$((errors+1))
+git grep '^from langchain' langchain/adapters | grep -vE 'from langchain.(pydantic_v1|utils|schema|load)' && errors=$((errors+1))
+git grep '^from langchain' langchain/callbacks | grep -vE 'from langchain.(pydantic_v1|utils|schema|load|callbacks|env)' && errors=$((errors+1))
+# TODO: it's probably not amazing so that so many other modules depend on `langchain.utilities`, because there can be a lot of imports there
+git grep '^from langchain' langchain/utilities | grep -vE 'from langchain.(pydantic_v1|utils|schema|load|callbacks|env|utilities)' && errors=$((errors+1))
+git grep '^from langchain' langchain/storage | grep -vE 'from langchain.(pydantic_v1|utils|schema|load|callbacks|env|storage|utilities)' && errors=$((errors+1))
+git grep '^from langchain' langchain/prompts | grep -vE 'from langchain.(pydantic_v1|utils|schema|load|callbacks|env|prompts|_api)' && errors=$((errors+1))
+git grep '^from langchain' langchain/output_parsers | grep -vE 'from langchain.(pydantic_v1|utils|schema|load|callbacks|env|prompts|_api|output_parsers)' && errors=$((errors+1))
+git grep '^from langchain' langchain/llms | grep -vE 'from langchain.(pydantic_v1|utils|schema|load|callbacks|env|prompts|llms|utilities)' && errors=$((errors+1))
+git grep '^from langchain' langchain/chat_models | grep -vE 'from langchain.(pydantic_v1|utils|schema|load|callbacks|env|llms|prompts|adapters|chat_models|utilities)' && errors=$((errors+1))
+git grep '^from langchain' langchain/embeddings | grep -vE 'from langchain.(pydantic_v1|utils|schema|load|callbacks|env|storage|llms|embeddings|utilities)' && errors=$((errors+1))
+git grep '^from langchain' langchain/docstore | grep -vE 'from langchain.(pydantic_v1|utils|schema|docstore)' && errors=$((errors+1))
+git grep '^from langchain' langchain/vectorstores | grep -vE 'from langchain.(pydantic_v1|utils|schema|load|callbacks|env|_api|storage|llms|docstore|vectorstores|utilities)' && errors=$((errors+1))
 
-# load should not import from anything except itself and pydantic_v1
+# Decide on an exit status based on the errors
-git grep 'from langchain' langchain/load | grep -vE 'from langchain.(pydantic_v1)' && exit 1 || exit 0
+if [ "$errors" -gt 0 ]; then
-
+    exit 1
-# utils should not import from anything except itself and pydantic_v1
+else
-git grep 'from langchain' langchain/utils | grep -vE 'from langchain.(pydantic_v1|utils)' && exit 1 || exit 0
+    exit 0
+fi

libs/langchain/tests/unit_tests/utilities/test_loading.py

@@ -10,7 +10,7 @@ from urllib.parse import urljoin
 import pytest
 import responses
 
-from langchain.utilities.loading import DEFAULT_REF, URL_BASE, try_load_from_hub
+from langchain.utils.loading import DEFAULT_REF, URL_BASE, try_load_from_hub
 
 
 @pytest.fixture(autouse=True)