core: Add ruff rules SLF (#30666)

Add ruff rules SLF: https://docs.astral.sh/ruff/rules/#flake8-self-slf

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>

Author: cbornet

libs/core/langchain_core/language_models/chat_models.py

@@ -412,8 +412,8 @@ def _should_stream(
         **kwargs: Any,
     ) -> bool:
         """Determine if a given model call should hit the streaming API."""
-        sync_not_implemented = type(self)._stream == BaseChatModel._stream
-        async_not_implemented = type(self)._astream == BaseChatModel._astream
+        sync_not_implemented = type(self)._stream == BaseChatModel._stream  # noqa: SLF001
+        async_not_implemented = type(self)._astream == BaseChatModel._astream  # noqa: SLF001
 
         # Check if streaming is implemented.
         if (not async_api) and sync_not_implemented:

libs/core/langchain_core/language_models/llms.py

@@ -522,7 +522,7 @@ def stream(
         stop: Optional[list[str]] = None,
         **kwargs: Any,
     ) -> Iterator[str]:
-        if type(self)._stream == BaseLLM._stream:
+        if type(self)._stream == BaseLLM._stream:  # noqa: SLF001
             # model doesn't implement streaming, so use default implementation
             yield self.invoke(input, config=config, stop=stop, **kwargs)
         else:
@@ -590,8 +590,8 @@ async def astream(
         **kwargs: Any,
     ) -> AsyncIterator[str]:
         if (
-            type(self)._astream is BaseLLM._astream
-            and type(self)._stream is BaseLLM._stream
+            type(self)._astream is BaseLLM._astream  # noqa: SLF001
+            and type(self)._stream is BaseLLM._stream  # noqa: SLF001
         ):
             yield await self.ainvoke(input, config=config, stop=stop, **kwargs)
             return

libs/core/langchain_core/runnables/configurable.py

@@ -131,7 +131,7 @@ def prepare(
         """
         runnable: Runnable[Input, Output] = self
         while isinstance(runnable, DynamicRunnable):
-            runnable, config = runnable._prepare(merge_configs(runnable.config, config))
+            runnable, config = runnable._prepare(merge_configs(runnable.config, config))  # noqa: SLF001
         return runnable, cast("RunnableConfig", config)
 
     @abstractmethod

libs/core/langchain_core/tools/base.py

@@ -845,7 +845,7 @@ async def arun(
             child_config = patch_config(config, callbacks=run_manager.get_child())
             with set_config_context(child_config) as context:
                 func_to_check = (
-                    self._run if self.__class__._arun is BaseTool._arun else self._arun
+                    self._run if self.__class__._arun is BaseTool._arun else self._arun  # noqa: SLF001
                 )
                 if signature(func_to_check).parameters.get("run_manager"):
                     tool_kwargs["run_manager"] = run_manager

libs/core/langchain_core/tracers/langchain.py

@@ -50,8 +50,8 @@ def log_error_once(method: str, exception: Exception) -> None:
 
 def wait_for_all_tracers() -> None:
     """Wait for all tracers to finish."""
-    if rt._CLIENT is not None:
-        rt._CLIENT.flush()
+    if rt._CLIENT is not None:  # noqa: SLF001
+        rt._CLIENT.flush()  # noqa: SLF001
 
 
 def get_client() -> Client:
@@ -123,8 +123,8 @@ def _start_trace(self, run: Run) -> None:
                 run.tags = self.tags.copy()
 
         super()._start_trace(run)
-        if run._client is None:
-            run._client = self.client  # type: ignore[misc]
+        if run.ls_client is None:
+            run.ls_client = self.client
 
     def on_chat_model_start(
         self,

libs/core/langchain_core/utils/mustache.py

@@ -379,7 +379,7 @@ def _get_key(
             try:
                 # This allows for custom falsy data types
                 # https://github.com/noahmorrison/chevron/issues/35
-                if resolved_scope._CHEVRON_return_scope_when_falsy:  # type: ignore[union-attr]
+                if resolved_scope._CHEVRON_return_scope_when_falsy:  # type: ignore[union-attr] # noqa: SLF001
                     return resolved_scope
             except AttributeError:
                 if resolved_scope in (0, False):

libs/core/pyproject.toml

@@ -7,7 +7,7 @@ authors = []
 license = {text = "MIT"}
 requires-python = ">=3.9"
 dependencies = [
-    "langsmith<0.4,>=0.1.125",
+    "langsmith<0.4,>=0.1.126",
     "tenacity!=8.4.0,<10.0.0,>=8.1.0",
     "jsonpatch<2.0,>=1.33",
     "PyYAML>=5.3",
@@ -105,7 +105,6 @@ ignore = [
     "ERA",
     "PLR2004",
     "RUF",
-    "SLF",
 ]
 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
@@ -132,5 +131,5 @@ classmethod-decorators = [ "classmethod", "langchain_core.utils.pydantic.pre_ini
 "tests/unit_tests/runnables/test_runnable.py" = [ "E501",]
 "tests/unit_tests/runnables/test_graph.py" = [ "E501",]
 "tests/unit_tests/test_tools.py" = [ "ARG",]
-"tests/**" = [ "D", "S",]
+"tests/**" = [ "D", "S", "SLF",]
 "scripts/**" = [ "INP", "S",]