core: Add ruff rules TC (#29268)

See https://docs.astral.sh/ruff/rules/#flake8-type-checking-tc
Some fixes done for TC001,TC002 and TC003 but these rules are excluded
since they don't play well with Pydantic.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>

libs/core/langchain_core/callbacks/base.py

@@ -3,13 +3,14 @@
 from __future__ import annotations
 
 import logging
-from collections.abc import Sequence
 from typing import TYPE_CHECKING, Any, Optional, TypeVar, Union
-from uuid import UUID
-
-from tenacity import RetryCallState
 
 if TYPE_CHECKING:
+    from collections.abc import Sequence
+    from uuid import UUID
+
+    from tenacity import RetryCallState
+
     from langchain_core.agents import AgentAction, AgentFinish
     from langchain_core.documents import Document
     from langchain_core.messages import BaseMessage

libs/core/langchain_core/callbacks/file.py

@@ -2,12 +2,14 @@
 
 from __future__ import annotations
 
-from typing import Any, Optional, TextIO, cast
+from typing import TYPE_CHECKING, Any, Optional, TextIO, cast
 
-from langchain_core.agents import AgentAction, AgentFinish
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.utils.input import print_text
 
+if TYPE_CHECKING:
+    from langchain_core.agents import AgentAction, AgentFinish
+
 
 class FileCallbackHandler(BaseCallbackHandler):
     """Callback Handler that writes to a file.

libs/core/langchain_core/callbacks/manager.py

@@ -5,7 +5,6 @@ import functools
 import logging
 import uuid
 from abc import ABC, abstractmethod
-from collections.abc import AsyncGenerator, Coroutine, Generator, Sequence
 from concurrent.futures import ThreadPoolExecutor
 from contextlib import asynccontextmanager, contextmanager
 from contextvars import copy_context
@@ -21,7 +20,6 @@ from typing import (
 from uuid import UUID
 
 from langsmith.run_helpers import get_tracing_context
-from tenacity import RetryCallState
 
 from langchain_core.callbacks.base import (
     BaseCallbackHandler,
@@ -39,6 +37,10 @@ from langchain_core.tracers.schemas import Run
 from langchain_core.utils.env import env_var_is_set
 
 if TYPE_CHECKING:
+    from collections.abc import AsyncGenerator, Coroutine, Generator, Sequence
+
+    from tenacity import RetryCallState
+
     from langchain_core.agents import AgentAction, AgentFinish
     from langchain_core.documents import Document
     from langchain_core.outputs import ChatGenerationChunk, GenerationChunk, LLMResult

libs/core/langchain_core/chat_history.py

@@ -17,8 +17,7 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from collections.abc import Sequence
-from typing import Union
+from typing import TYPE_CHECKING, Union
 
 from pydantic import BaseModel, Field
 
@@ -29,6 +28,9 @@ from langchain_core.messages import (
     get_buffer_string,
 )
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
 
 class BaseChatMessageHistory(ABC):
     """Abstract base class for storing chat message history.

libs/core/langchain_core/document_loaders/base.py

@@ -3,16 +3,17 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from collections.abc import AsyncIterator, Iterator
 from typing import TYPE_CHECKING, Optional
 
-from langchain_core.documents import Document
 from langchain_core.runnables import run_in_executor
 
 if TYPE_CHECKING:
+    from collections.abc import AsyncIterator, Iterator
+
     from langchain_text_splitters import TextSplitter
 
-from langchain_core.documents.base import Blob
+    from langchain_core.documents import Document
+    from langchain_core.documents.base import Blob
 
 
 class BaseLoader(ABC):  # noqa: B024

libs/core/langchain_core/document_loaders/blob_loaders.py

@@ -8,12 +8,15 @@ In addition, content loading code should provide a lazy loading interface by def
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from collections.abc import Iterable
+from typing import TYPE_CHECKING
 
 # Re-export Blob and PathLike for backwards compatibility
 from langchain_core.documents.base import Blob as Blob
 from langchain_core.documents.base import PathLike as PathLike
 
+if TYPE_CHECKING:
+    from collections.abc import Iterable
+
 
 class BlobLoader(ABC):
     """Abstract interface for blob loaders implementation.

libs/core/langchain_core/documents/base.py

@@ -2,15 +2,17 @@ from __future__ import annotations
 
 import contextlib
 import mimetypes
-from collections.abc import Generator
 from io import BufferedReader, BytesIO
 from pathlib import PurePath
-from typing import Any, Literal, Optional, Union, cast
+from typing import TYPE_CHECKING, Any, Literal, Optional, Union, cast
 
 from pydantic import ConfigDict, Field, field_validator, model_validator
 
 from langchain_core.load.serializable import Serializable
 
+if TYPE_CHECKING:
+    from collections.abc import Generator
+
 PathLike = Union[str, PurePath]
 
 

libs/core/langchain_core/documents/compressor.py

@@ -1,15 +1,18 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from collections.abc import Sequence
-from typing import Optional
+from typing import TYPE_CHECKING, Optional
 
 from pydantic import BaseModel
 
-from langchain_core.callbacks import Callbacks
-from langchain_core.documents import Document
 from langchain_core.runnables import run_in_executor
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from langchain_core.callbacks import Callbacks
+    from langchain_core.documents import Document
+
 
 class BaseDocumentCompressor(BaseModel, ABC):
     """Base class for document compressors.

libs/core/langchain_core/documents/transformers.py

@@ -1,12 +1,13 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from collections.abc import Sequence
 from typing import TYPE_CHECKING, Any
 
 from langchain_core.runnables.config import run_in_executor
 
 if TYPE_CHECKING:
+    from collections.abc import Sequence
+
     from langchain_core.documents import Document
 
 

libs/core/langchain_core/example_selectors/semantic_similarity.py

@@ -7,11 +7,11 @@ from typing import TYPE_CHECKING, Any, Optional
 
 from pydantic import BaseModel, ConfigDict
 
-from langchain_core.documents import Document
 from langchain_core.example_selectors.base import BaseExampleSelector
 from langchain_core.vectorstores import VectorStore
 
 if TYPE_CHECKING:
+    from langchain_core.documents import Document
     from langchain_core.embeddings import Embeddings
 
 

libs/core/langchain_core/indexing/base.py

@@ -3,14 +3,17 @@ from __future__ import annotations
 import abc
 import time
 from abc import ABC, abstractmethod
-from collections.abc import Sequence
-from typing import Any, Optional, TypedDict
+from typing import TYPE_CHECKING, Any, Optional, TypedDict
 
 from langchain_core._api import beta
-from langchain_core.documents import Document
 from langchain_core.retrievers import BaseRetriever
 from langchain_core.runnables import run_in_executor
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from langchain_core.documents import Document
+
 
 class RecordManager(ABC):
     """Abstract base class representing the interface for a record manager.

libs/core/langchain_core/language_models/chat_models.py

@@ -4,7 +4,6 @@ import asyncio
 import inspect
 import json
 import typing
-import uuid
 import warnings
 from abc import ABC, abstractmethod
 from collections.abc import AsyncIterator, Iterator, Sequence
@@ -70,6 +69,8 @@ from langchain_core.utils.function_calling import convert_to_openai_tool
 from langchain_core.utils.pydantic import TypeBaseModel, is_basemodel_subclass
 
 if TYPE_CHECKING:
+    import uuid
+
     from langchain_core.output_parsers.base import OutputParserLike
     from langchain_core.runnables import Runnable, RunnableConfig
     from langchain_core.tools import BaseTool

libs/core/langchain_core/language_models/llms.py

@@ -7,12 +7,12 @@ import functools
 import inspect
 import json
 import logging
-import uuid
 import warnings
 from abc import ABC, abstractmethod
 from collections.abc import AsyncIterator, Iterator, Sequence
 from pathlib import Path
 from typing import (
+    TYPE_CHECKING,
     Any,
     Callable,
     Optional,
@@ -61,6 +61,9 @@ from langchain_core.prompt_values import ChatPromptValue, PromptValue, StringPro
 from langchain_core.runnables import RunnableConfig, ensure_config, get_config_list
 from langchain_core.runnables.config import run_in_executor
 
+if TYPE_CHECKING:
+    import uuid
+
 logger = logging.getLogger(__name__)
 
 

libs/core/langchain_core/messages/base.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-from collections.abc import Sequence
 from typing import TYPE_CHECKING, Any, Optional, Union, cast
 
 from pydantic import ConfigDict, Field, field_validator
@@ -11,6 +10,8 @@ from langchain_core.utils._merge import merge_dicts, merge_lists
 from langchain_core.utils.interactive_env import is_interactive_env
 
 if TYPE_CHECKING:
+    from collections.abc import Sequence
+
     from langchain_core.prompts.chat import ChatPromptTemplate
 
 

libs/core/langchain_core/output_parsers/list.py

@@ -4,14 +4,16 @@ import csv
 import re
 from abc import abstractmethod
 from collections import deque
-from collections.abc import AsyncIterator, Iterator
 from io import StringIO
+from typing import TYPE_CHECKING, TypeVar, Union
 from typing import Optional as Optional
-from typing import TypeVar, Union
 
 from langchain_core.messages import BaseMessage
 from langchain_core.output_parsers.transform import BaseTransformOutputParser
 
+if TYPE_CHECKING:
+    from collections.abc import AsyncIterator, Iterator
+
 T = TypeVar("T")
 
 

libs/core/langchain_core/output_parsers/transform.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-from collections.abc import AsyncIterator, Iterator
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -19,6 +18,8 @@ from langchain_core.outputs import (
 from langchain_core.runnables.config import run_in_executor
 
 if TYPE_CHECKING:
+    from collections.abc import AsyncIterator, Iterator
+
     from langchain_core.runnables import RunnableConfig
 
 

libs/core/langchain_core/outputs/chat_generation.py

@@ -1,14 +1,16 @@
 from __future__ import annotations
 
-from typing import Literal, Union
+from typing import TYPE_CHECKING, Literal, Union
 
 from pydantic import model_validator
-from typing_extensions import Self
 
 from langchain_core.messages import BaseMessage, BaseMessageChunk
 from langchain_core.outputs.generation import Generation
 from langchain_core.utils._merge import merge_dicts
 
+if TYPE_CHECKING:
+    from typing_extensions import Self
+
 
 class ChatGeneration(Generation):
     """A single chat generation output.

libs/core/langchain_core/prompts/chat.py

@@ -3,9 +3,8 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from collections.abc import Sequence
-from pathlib import Path
 from typing import (
+    TYPE_CHECKING,
     Annotated,
     Any,
     Optional,
@@ -47,6 +46,10 @@ from langchain_core.prompts.string import (
 from langchain_core.utils import get_colored_text
 from langchain_core.utils.interactive_env import is_interactive_env
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+    from pathlib import Path
+
 
 class BaseMessagePromptTemplate(Serializable, ABC):
     """Base class for message prompt templates."""

libs/core/langchain_core/prompts/few_shot.py

@@ -2,8 +2,7 @@
 
 from __future__ import annotations
 
-from pathlib import Path
-from typing import Any, Literal, Optional, Union
+from typing import TYPE_CHECKING, Any, Literal, Optional, Union
 
 from pydantic import (
     BaseModel,
@@ -11,7 +10,6 @@ from pydantic import (
     Field,
     model_validator,
 )
-from typing_extensions import Self
 
 from langchain_core.example_selectors import BaseExampleSelector
 from langchain_core.messages import BaseMessage, get_buffer_string
@@ -27,6 +25,11 @@ from langchain_core.prompts.string import (
     get_template_variables,
 )
 
+if TYPE_CHECKING:
+    from pathlib import Path
+
+    from typing_extensions import Self
+
 
 class _FewShotPromptTemplateMixin(BaseModel):
     """Prompt template that contains few shot examples."""

libs/core/langchain_core/prompts/prompt.py

@@ -3,8 +3,7 @@
 from __future__ import annotations
 
 import warnings
-from pathlib import Path
-from typing import Any, Optional, Union
+from typing import TYPE_CHECKING, Any, Optional, Union
 
 from pydantic import BaseModel, model_validator
 
@@ -16,7 +15,11 @@ from langchain_core.prompts.string import (
     get_template_variables,
     mustache_schema,
 )
-from langchain_core.runnables.config import RunnableConfig
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+    from langchain_core.runnables.config import RunnableConfig
 
 
 class PromptTemplate(StringPromptTemplate):

libs/core/langchain_core/runnables/base.py

@@ -60,7 +60,6 @@ from langchain_core.runnables.config import (
     run_in_executor,
 )
 from langchain_core.runnables.graph import Graph
-from langchain_core.runnables.schema import StreamEvent
 from langchain_core.runnables.utils import (
     AddableDict,
     AnyConfigurableField,
@@ -94,6 +93,7 @@ if TYPE_CHECKING:
     from langchain_core.runnables.fallbacks import (
         RunnableWithFallbacks as RunnableWithFallbacksT,
     )
+    from langchain_core.runnables.schema import StreamEvent
     from langchain_core.tools import BaseTool
     from langchain_core.tracers.log_stream import (
         RunLog,

libs/core/langchain_core/runnables/configurable.py

@@ -7,6 +7,7 @@ from collections.abc import AsyncIterator, Iterator, Sequence
 from collections.abc import Mapping as Mapping
 from functools import wraps
 from typing import (
+    TYPE_CHECKING,
     Any,
     Callable,
     Optional,
@@ -26,7 +27,6 @@ from langchain_core.runnables.config import (
     get_executor_for_config,
     merge_configs,
 )
-from langchain_core.runnables.graph import Graph
 from langchain_core.runnables.utils import (
     AnyConfigurableField,
     ConfigurableField,
@@ -39,6 +39,9 @@ from langchain_core.runnables.utils import (
     get_unique_config_specs,
 )
 
+if TYPE_CHECKING:
+    from langchain_core.runnables.graph import Graph
+
 
 class DynamicRunnable(RunnableSerializable[Input, Output]):
     """Serializable Runnable that can be dynamically configured.

libs/core/langchain_core/runnables/graph.py

@@ -2,7 +2,6 @@ from __future__ import annotations
 
 import inspect
 from collections import defaultdict
-from collections.abc import Sequence
 from dataclasses import dataclass, field
 from enum import Enum
 from typing import (
@@ -18,11 +17,13 @@ from typing import (
 )
 from uuid import UUID, uuid4
 
-from pydantic import BaseModel
-
 from langchain_core.utils.pydantic import _IgnoreUnserializable, is_basemodel_subclass
 
 if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from pydantic import BaseModel
+
     from langchain_core.runnables.base import Runnable as RunnableType
 
 

libs/core/langchain_core/runnables/passthrough.py

@@ -5,7 +5,7 @@ from __future__ import annotations
 import asyncio
 import inspect
 import threading
-from collections.abc import AsyncIterator, Awaitable, Iterator, Mapping
+from collections.abc import Awaitable
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -32,7 +32,6 @@ from langchain_core.runnables.config import (
     get_executor_for_config,
     patch_config,
 )
-from langchain_core.runnables.graph import Graph
 from langchain_core.runnables.utils import (
     AddableDict,
     ConfigurableFieldSpec,
@@ -42,10 +41,13 @@ from langchain_core.utils.iter import safetee
 from langchain_core.utils.pydantic import create_model_v2
 
 if TYPE_CHECKING:
+    from collections.abc import AsyncIterator, Iterator, Mapping
+
     from langchain_core.callbacks.manager import (
         AsyncCallbackManagerForChainRun,
         CallbackManagerForChainRun,
     )
+    from langchain_core.runnables.graph import Graph
 
 
 def identity(x: Other) -> Other:

libs/core/langchain_core/runnables/router.py

@@ -1,8 +1,9 @@
 from __future__ import annotations
 
-from collections.abc import AsyncIterator, Iterator, Mapping
+from collections.abc import Mapping
 from itertools import starmap
 from typing import (
+    TYPE_CHECKING,
     Any,
     Callable,
     Optional,
@@ -31,6 +32,9 @@ from langchain_core.runnables.utils import (
     get_unique_config_specs,
 )
 
+if TYPE_CHECKING:
+    from collections.abc import AsyncIterator, Iterator
+
 
 class RouterInput(TypedDict):
     """Router input.

libs/core/langchain_core/runnables/schema.py

@@ -2,11 +2,13 @@
 
 from __future__ import annotations
 
-from collections.abc import Sequence
-from typing import Any, Literal, Union
+from typing import TYPE_CHECKING, Any, Literal, Union
 
 from typing_extensions import NotRequired, TypedDict
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
 
 class EventData(TypedDict, total=False):
     """Data associated with a streaming event."""

libs/core/langchain_core/runnables/utils.py

@@ -6,19 +6,11 @@ import ast
 import asyncio
 import inspect
 import textwrap
-from collections.abc import (
-    AsyncIterable,
-    AsyncIterator,
-    Awaitable,
-    Coroutine,
-    Iterable,
-    Mapping,
-    Sequence,
-)
 from functools import lru_cache
 from inspect import signature
 from itertools import groupby
 from typing import (
+    TYPE_CHECKING,
     Any,
     Callable,
     NamedTuple,
@@ -30,11 +22,22 @@ from typing import (
 
 from typing_extensions import TypeGuard, override
 
-from langchain_core.runnables.schema import StreamEvent
-
 # Re-export create-model for backwards compatibility
 from langchain_core.utils.pydantic import create_model as create_model
 
+if TYPE_CHECKING:
+    from collections.abc import (
+        AsyncIterable,
+        AsyncIterator,
+        Awaitable,
+        Coroutine,
+        Iterable,
+        Mapping,
+        Sequence,
+    )
+
+    from langchain_core.runnables.schema import StreamEvent
+
 Input = TypeVar("Input", contravariant=True)
 # Output type should implement __concat__, as eg str, list, dict do
 Output = TypeVar("Output", covariant=True)

libs/core/langchain_core/structured_query.py

@@ -3,12 +3,14 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from collections.abc import Sequence
 from enum import Enum
-from typing import Any, Optional, Union
+from typing import TYPE_CHECKING, Any, Optional, Union
 
 from pydantic import BaseModel
 
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
 
 class Visitor(ABC):
     """Defines interface for IR translation using a visitor pattern."""

libs/core/langchain_core/tools/base.py

@@ -4,13 +4,12 @@ import asyncio
 import functools
 import inspect
 import json
-import uuid
 import warnings
 from abc import ABC, abstractmethod
-from collections.abc import Sequence
 from contextvars import copy_context
 from inspect import signature
 from typing import (
+    TYPE_CHECKING,
     Annotated,
     Any,
     Callable,
@@ -68,6 +67,10 @@ from langchain_core.utils.pydantic import (
     is_pydantic_v2_subclass,
 )
 
+if TYPE_CHECKING:
+    import uuid
+    from collections.abc import Sequence
+
 FILTERED_ARGS = ("run_manager", "callbacks")
 
 

libs/core/langchain_core/tools/retriever.py

@@ -1,21 +1,23 @@
 from __future__ import annotations
 
 from functools import partial
-from typing import Literal, Optional, Union
+from typing import TYPE_CHECKING, Literal, Optional, Union
 
 from pydantic import BaseModel, Field
 
-from langchain_core.callbacks import Callbacks
-from langchain_core.documents import Document
 from langchain_core.prompts import (
     BasePromptTemplate,
     PromptTemplate,
     aformat_document,
     format_document,
 )
-from langchain_core.retrievers import BaseRetriever
 from langchain_core.tools.simple import Tool
 
+if TYPE_CHECKING:
+    from langchain_core.callbacks import Callbacks
+    from langchain_core.documents import Document
+    from langchain_core.retrievers import BaseRetriever
+
 
 class RetrieverInput(BaseModel):
     """Input to the retriever."""

libs/core/langchain_core/tools/simple.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 from collections.abc import Awaitable
 from inspect import signature
 from typing import (
+    TYPE_CHECKING,
     Any,
     Callable,
     Optional,
@@ -13,7 +14,6 @@ from langchain_core.callbacks import (
     AsyncCallbackManagerForToolRun,
     CallbackManagerForToolRun,
 )
-from langchain_core.messages import ToolCall
 from langchain_core.runnables import RunnableConfig, run_in_executor
 from langchain_core.tools.base import (
     ArgsSchema,
@@ -22,6 +22,9 @@ from langchain_core.tools.base import (
     _get_runnable_config_param,
 )
 
+if TYPE_CHECKING:
+    from langchain_core.messages import ToolCall
+
 
 class Tool(BaseTool):
     """Tool that takes in function or coroutine directly."""

libs/core/langchain_core/tools/structured.py

@@ -4,6 +4,7 @@ import textwrap
 from collections.abc import Awaitable
 from inspect import signature
 from typing import (
+    TYPE_CHECKING,
     Annotated,
     Any,
     Callable,
@@ -18,7 +19,6 @@ from langchain_core.callbacks import (
     AsyncCallbackManagerForToolRun,
     CallbackManagerForToolRun,
 )
-from langchain_core.messages import ToolCall
 from langchain_core.runnables import RunnableConfig, run_in_executor
 from langchain_core.tools.base import (
     FILTERED_ARGS,
@@ -29,6 +29,9 @@ from langchain_core.tools.base import (
 )
 from langchain_core.utils.pydantic import is_basemodel_subclass
 
+if TYPE_CHECKING:
+    from langchain_core.messages import ToolCall
+
 
 class StructuredTool(BaseTool):
     """Tool that can operate on any number of inputs."""

libs/core/langchain_core/tracers/base.py

@@ -5,26 +5,27 @@ from __future__ import annotations
 import asyncio
 import logging
 from abc import ABC, abstractmethod
-from collections.abc import Sequence
 from typing import (
     TYPE_CHECKING,
     Any,
     Optional,
     Union,
 )
-from uuid import UUID
-
-from tenacity import RetryCallState
 
 from langchain_core.callbacks.base import AsyncCallbackHandler, BaseCallbackHandler
 from langchain_core.exceptions import TracerException  # noqa
-from langchain_core.messages import BaseMessage
-from langchain_core.outputs import ChatGenerationChunk, GenerationChunk, LLMResult
 from langchain_core.tracers.core import _TracerCore
-from langchain_core.tracers.schemas import Run
 
 if TYPE_CHECKING:
+    from collections.abc import Sequence
+    from uuid import UUID
+
+    from tenacity import RetryCallState
+
     from langchain_core.documents import Document
+    from langchain_core.messages import BaseMessage
+    from langchain_core.outputs import ChatGenerationChunk, GenerationChunk, LLMResult
+    from langchain_core.tracers.schemas import Run
 
 logger = logging.getLogger(__name__)
 

libs/core/langchain_core/tracers/context.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-from collections.abc import Generator
 from contextlib import contextmanager
 from contextvars import ContextVar
 from typing import (
@@ -18,13 +17,15 @@ from langsmith import utils as ls_utils
 
 from langchain_core.tracers.langchain import LangChainTracer
 from langchain_core.tracers.run_collector import RunCollectorCallbackHandler
-from langchain_core.tracers.schemas import TracerSessionV1
 
 if TYPE_CHECKING:
+    from collections.abc import Generator
+
     from langsmith import Client as LangSmithClient
 
     from langchain_core.callbacks.base import BaseCallbackHandler, Callbacks
     from langchain_core.callbacks.manager import AsyncCallbackManager, CallbackManager
+    from langchain_core.tracers.schemas import TracerSessionV1
 
 # for backwards partial compatibility if this is imported by users but unused
 tracing_callback_var: Any = None

libs/core/langchain_core/tracers/core.py

@@ -6,7 +6,6 @@ import logging
 import sys
 import traceback
 from abc import ABC, abstractmethod
-from collections.abc import Coroutine, Sequence
 from datetime import datetime, timezone
 from typing import (
     TYPE_CHECKING,
@@ -16,13 +15,9 @@ from typing import (
     Union,
     cast,
 )
-from uuid import UUID
-
-from tenacity import RetryCallState
 
 from langchain_core.exceptions import TracerException
 from langchain_core.load import dumpd
-from langchain_core.messages import BaseMessage
 from langchain_core.outputs import (
     ChatGeneration,
     ChatGenerationChunk,
@@ -32,7 +27,13 @@ from langchain_core.outputs import (
 from langchain_core.tracers.schemas import Run
 
 if TYPE_CHECKING:
+    from collections.abc import Coroutine, Sequence
+    from uuid import UUID
+
+    from tenacity import RetryCallState
+
     from langchain_core.documents import Document
+    from langchain_core.messages import BaseMessage
 
 logger = logging.getLogger(__name__)
 

libs/core/langchain_core/tracers/evaluation.py

@@ -5,9 +5,8 @@ from __future__ import annotations
 import logging
 import threading
 import weakref
-from collections.abc import Sequence
 from concurrent.futures import Future, ThreadPoolExecutor, wait
-from typing import Any, Optional, Union, cast
+from typing import TYPE_CHECKING, Any, Optional, Union, cast
 from uuid import UUID
 
 import langsmith
@@ -17,7 +16,11 @@ from langchain_core.tracers import langchain as langchain_tracer
 from langchain_core.tracers.base import BaseTracer
 from langchain_core.tracers.context import tracing_v2_enabled
 from langchain_core.tracers.langchain import _get_executor
-from langchain_core.tracers.schemas import Run
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from langchain_core.tracers.schemas import Run
 
 logger = logging.getLogger(__name__)
 

libs/core/langchain_core/tracers/event_stream.py

@@ -5,7 +5,6 @@ from __future__ import annotations
 import asyncio
 import contextlib
 import logging
-from collections.abc import AsyncIterator, Iterator, Sequence
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -37,13 +36,15 @@ from langchain_core.runnables.utils import (
     _RootEventFilter,
 )
 from langchain_core.tracers._streaming import _StreamingCallbackHandler
-from langchain_core.tracers.log_stream import LogEntry
 from langchain_core.tracers.memory_stream import _MemoryStream
 from langchain_core.utils.aiter import aclosing, py_anext
 
 if TYPE_CHECKING:
+    from collections.abc import AsyncIterator, Iterator, Sequence
+
     from langchain_core.documents import Document
     from langchain_core.runnables import Runnable, RunnableConfig
+    from langchain_core.tracers.log_stream import LogEntry
 
 logger = logging.getLogger(__name__)
 

libs/core/langchain_core/tracers/langchain.py

@@ -22,12 +22,12 @@ from tenacity import (
 
 from langchain_core.env import get_runtime_environment
 from langchain_core.load import dumpd
-from langchain_core.outputs import ChatGenerationChunk, GenerationChunk
 from langchain_core.tracers.base import BaseTracer
 from langchain_core.tracers.schemas import Run
 
 if TYPE_CHECKING:
     from langchain_core.messages import BaseMessage
+    from langchain_core.outputs import ChatGenerationChunk, GenerationChunk
 
 logger = logging.getLogger(__name__)
 _LOGGED = set()

libs/core/langchain_core/tracers/log_stream.py

@@ -5,8 +5,8 @@ import contextlib
 import copy
 import threading
 from collections import defaultdict
-from collections.abc import AsyncIterator, Iterator, Sequence
 from typing import (
+    TYPE_CHECKING,
     Any,
     Literal,
     Optional,
@@ -14,7 +14,6 @@ from typing import (
     Union,
     overload,
 )
-from uuid import UUID
 
 import jsonpatch  # type: ignore[import]
 from typing_extensions import NotRequired, TypedDict
@@ -23,11 +22,16 @@ from langchain_core.load import dumps
 from langchain_core.load.load import load
 from langchain_core.outputs import ChatGenerationChunk, GenerationChunk
 from langchain_core.runnables import Runnable, RunnableConfig, ensure_config
-from langchain_core.runnables.utils import Input, Output
 from langchain_core.tracers._streaming import _StreamingCallbackHandler
 from langchain_core.tracers.base import BaseTracer
 from langchain_core.tracers.memory_stream import _MemoryStream
-from langchain_core.tracers.schemas import Run
+
+if TYPE_CHECKING:
+    from collections.abc import AsyncIterator, Iterator, Sequence
+    from uuid import UUID
+
+    from langchain_core.runnables.utils import Input, Output
+    from langchain_core.tracers.schemas import Run
 
 
 class LogEntry(TypedDict):

libs/core/langchain_core/tracers/root_listeners.py

@@ -1,6 +1,5 @@
 from collections.abc import Awaitable
-from typing import Callable, Optional, Union
-from uuid import UUID
+from typing import TYPE_CHECKING, Callable, Optional, Union
 
 from langchain_core.runnables.config import (
     RunnableConfig,
@@ -10,6 +9,9 @@ from langchain_core.runnables.config import (
 from langchain_core.tracers.base import AsyncBaseTracer, BaseTracer
 from langchain_core.tracers.schemas import Run
 
+if TYPE_CHECKING:
+    from uuid import UUID
+
 Listener = Union[Callable[[Run], None], Callable[[Run, RunnableConfig], None]]
 AsyncListener = Union[
     Callable[[Run], Awaitable[None]], Callable[[Run, RunnableConfig], Awaitable[None]]

libs/core/langchain_core/utils/json_schema.py

@@ -1,8 +1,10 @@
 from __future__ import annotations
 
-from collections.abc import Sequence
 from copy import deepcopy
-from typing import Any, Optional
+from typing import TYPE_CHECKING, Any, Optional
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
 
 
 def _retrieve_ref(path: str, schema: dict) -> dict:

libs/core/langchain_core/utils/mustache.py

@@ -8,6 +8,7 @@ import logging
 from collections.abc import Iterator, Mapping, Sequence
 from types import MappingProxyType
 from typing import (
+    TYPE_CHECKING,
     Any,
     Literal,
     Optional,
@@ -15,7 +16,8 @@ from typing import (
     cast,
 )
 
-from typing_extensions import TypeAlias
+if TYPE_CHECKING:
+    from typing_extensions import TypeAlias
 
 logger = logging.getLogger(__name__)
 

libs/core/langchain_core/utils/pydantic.py

@@ -9,6 +9,7 @@ from contextlib import nullcontext
 from functools import lru_cache, wraps
 from types import GenericAlias
 from typing import (
+    TYPE_CHECKING,
     Any,
     Callable,
     Optional,
@@ -29,13 +30,16 @@ from pydantic import (
 from pydantic import (
     create_model as _create_model_base,
 )
+from pydantic.fields import FieldInfo as FieldInfoV2
 from pydantic.json_schema import (
     DEFAULT_REF_TEMPLATE,
     GenerateJsonSchema,
     JsonSchemaMode,
     JsonSchemaValue,
 )
-from pydantic_core import core_schema
+
+if TYPE_CHECKING:
+    from pydantic_core import core_schema
 
 
 def get_pydantic_major_version() -> int:
@@ -71,8 +75,8 @@ elif PYDANTIC_MAJOR_VERSION == 2:
     from pydantic.v1.fields import FieldInfo as FieldInfoV1  # type: ignore[assignment]
 
     # Union type needs to be last assignment to PydanticBaseModel to make mypy happy.
-    PydanticBaseModel = Union[BaseModel, pydantic.BaseModel]  # type: ignore
-    TypeBaseModel = Union[type[BaseModel], type[pydantic.BaseModel]]  # type: ignore
+    PydanticBaseModel = Union[BaseModel, pydantic.BaseModel]  # type: ignore[assignment,misc]
+    TypeBaseModel = Union[type[BaseModel], type[pydantic.BaseModel]]  # type: ignore[misc]
 else:
     msg = f"Unsupported Pydantic version: {PYDANTIC_MAJOR_VERSION}"
     raise ValueError(msg)
@@ -357,7 +361,6 @@ def _create_subset_model(
 
 if PYDANTIC_MAJOR_VERSION == 2:
     from pydantic import BaseModel as BaseModelV2
-    from pydantic.fields import FieldInfo as FieldInfoV2
     from pydantic.v1 import BaseModel as BaseModelV1
 
     @overload

libs/core/langchain_core/vectorstores/base.py

@@ -25,7 +25,6 @@ import logging
 import math
 import warnings
 from abc import ABC, abstractmethod
-from collections.abc import Collection, Iterable, Iterator, Sequence
 from itertools import cycle
 from typing import (
     TYPE_CHECKING,
@@ -43,6 +42,8 @@ from langchain_core.retrievers import BaseRetriever, LangSmithRetrieverParams
 from langchain_core.runnables.config import run_in_executor
 
 if TYPE_CHECKING:
+    from collections.abc import Collection, Iterable, Iterator, Sequence
+
     from langchain_core.callbacks.manager import (
         AsyncCallbackManagerForRetrieverRun,
         CallbackManagerForRetrieverRun,

libs/core/langchain_core/vectorstores/in_memory.py

@@ -2,7 +2,6 @@ from __future__ import annotations
 
 import json
 import uuid
-from collections.abc import Iterator, Sequence
 from pathlib import Path
 from typing import (
     TYPE_CHECKING,
@@ -13,13 +12,15 @@ from typing import (
 
 from langchain_core._api import deprecated
 from langchain_core.documents import Document
-from langchain_core.embeddings import Embeddings
 from langchain_core.load import dumpd, load
 from langchain_core.vectorstores import VectorStore
 from langchain_core.vectorstores.utils import _cosine_similarity as cosine_similarity
 from langchain_core.vectorstores.utils import maximal_marginal_relevance
 
 if TYPE_CHECKING:
+    from collections.abc import Iterator, Sequence
+
+    from langchain_core.embeddings import Embeddings
     from langchain_core.indexing import UpsertResponse
 
 

libs/core/pyproject.toml

@@ -77,8 +77,9 @@ target-version = "py39"
 
 
 [tool.ruff.lint]
-select = [ "ANN", "ASYNC", "B", "C4", "COM", "DJ", "E", "EM", "EXE", "F", "FLY", "FURB", "I", "ICN", "INT", "LOG", "N", "NPY", "PD", "PIE", "Q", "RSE", "S", "SIM", "SLOT", "T10", "T201", "TID", "TRY", "UP", "W", "YTT",]
-ignore = [ "ANN401", "COM812", "UP007", "S110", "S112",]
+select = [ "ANN", "ASYNC", "B", "C4", "COM", "DJ", "E", "EM", "EXE", "F", "FLY", "FURB", "I", "ICN", "INT", "LOG", "N", "NPY", "PD", "PIE", "Q", "RSE", "S", "SIM", "SLOT", "T10", "T201", "TC", "TID", "TRY", "UP", "W", "YTT",]
+ignore = [ "ANN401", "COM812", "UP007", "S110", "S112", "TC001", "TC002", "TC003"]
+flake8-type-checking.runtime-evaluated-base-classes = ["pydantic.BaseModel","langchain_core.load.serializable.Serializable","langchain_core.runnables.base.RunnableSerializable"]
 flake8-annotations.allow-star-arg-any = true
 flake8-annotations.mypy-init-return = true
 

libs/core/tests/unit_tests/language_models/chat_models/test_base.py

@@ -2,7 +2,7 @@
 
 import uuid
 from collections.abc import AsyncIterator, Iterator
-from typing import Any, Literal, Optional, Union
+from typing import TYPE_CHECKING, Any, Literal, Optional, Union
 
 import pytest
 
@@ -30,6 +30,9 @@ from tests.unit_tests.fake.callbacks import (
 )
 from tests.unit_tests.stubs import _any_id_ai_message, _any_id_ai_message_chunk
 
+if TYPE_CHECKING:
+    from langchain_core.outputs.llm_result import LLMResult
+
 
 @pytest.fixture
 def messages() -> list:

libs/core/tests/unit_tests/vectorstores/test_vectorstore.py

@@ -7,8 +7,7 @@ the relevant methods.
 from __future__ import annotations
 
 import uuid
-from collections.abc import Iterable, Sequence
-from typing import Any, Optional
+from typing import TYPE_CHECKING, Any, Optional
 
 import pytest
 
@@ -16,6 +15,9 @@ from langchain_core.documents import Document
 from langchain_core.embeddings import Embeddings, FakeEmbeddings
 from langchain_core.vectorstores import VectorStore
 
+if TYPE_CHECKING:
+    from collections.abc import Iterable, Sequence
+
 
 class CustomAddTextsVectorstore(VectorStore):
     """A vectorstore that only implements add texts."""