core[patch]: runnablewithchathistory from core.runnables (#23136)

libs/core/langchain_core/messages/utils.py

@@ -25,12 +25,12 @@ from langchain_core.messages.function import FunctionMessage, FunctionMessageChu
 from langchain_core.messages.human import HumanMessage, HumanMessageChunk
 from langchain_core.messages.system import SystemMessage, SystemMessageChunk
 from langchain_core.messages.tool import ToolMessage, ToolMessageChunk
-from langchain_core.runnables import Runnable, RunnableLambda
 
 if TYPE_CHECKING:
     from langchain_text_splitters import TextSplitter
 
     from langchain_core.language_models import BaseLanguageModel
+    from langchain_core.runnables.base import Runnable
 
 AnyMessage = Union[
     AIMessage, HumanMessage, ChatMessage, SystemMessage, FunctionMessage, ToolMessage
@@ -279,6 +279,8 @@ def _runnable_support(func: Callable) -> Callable:
         List[BaseMessage],
         Runnable[Sequence[MessageLikeRepresentation], List[BaseMessage]],
     ]:
+        from langchain_core.runnables.base import RunnableLambda
+
         if messages is not None:
             return func(messages, **kwargs)
         else:
@@ -486,9 +488,7 @@ def trim_messages(
     ] = None,
     include_system: bool = False,
     text_splitter: Optional[Union[Callable[[str], List[str]], TextSplitter]] = None,
-) -> Union[
-    List[BaseMessage], Runnable[Sequence[MessageLikeRepresentation], List[BaseMessage]]
-]:
+) -> List[BaseMessage]:
     """Trim messages to be below a token count.
 
     Args:
@@ -734,53 +734,6 @@ def trim_messages(
 
 
     """  # noqa: E501
-    if messages is not None:
-        return _trim_messages_helper(
-            messages,
-            max_tokens=max_tokens,
-            token_counter=token_counter,
-            strategy=strategy,
-            allow_partial=allow_partial,
-            end_on=end_on,
-            start_on=start_on,
-            include_system=include_system,
-            text_splitter=text_splitter,
-        )
-    else:
-        trimmer = partial(
-            _trim_messages_helper,
-            max_tokens=max_tokens,
-            token_counter=token_counter,
-            strategy=strategy,
-            allow_partial=allow_partial,
-            end_on=end_on,
-            start_on=start_on,
-            include_system=include_system,
-            text_splitter=text_splitter,
-        )
-        return RunnableLambda(trimmer)
-
-
-def _trim_messages_helper(
-    messages: Sequence[MessageLikeRepresentation],
-    *,
-    max_tokens: int,
-    token_counter: Union[
-        Callable[[List[BaseMessage]], int],
-        Callable[[BaseMessage], int],
-        BaseLanguageModel,
-    ],
-    strategy: Literal["first", "last"] = "last",
-    allow_partial: bool = False,
-    end_on: Optional[
-        Union[str, Type[BaseMessage], Sequence[Union[str, Type[BaseMessage]]]]
-    ] = None,
-    start_on: Optional[
-        Union[str, Type[BaseMessage], Sequence[Union[str, Type[BaseMessage]]]]
-    ] = None,
-    include_system: bool = False,
-    text_splitter: Optional[Union[Callable[[str], List[str]], TextSplitter]] = None,
-) -> List[BaseMessage]:
     from langchain_core.language_models import BaseLanguageModel
 
     if start_on and strategy == "first":

libs/core/langchain_core/runnables/__init__.py

@@ -36,6 +36,7 @@ from langchain_core.runnables.config import (
     run_in_executor,
 )
 from langchain_core.runnables.fallbacks import RunnableWithFallbacks
+from langchain_core.runnables.history import RunnableWithMessageHistory
 from langchain_core.runnables.passthrough import (
     RunnableAssign,
     RunnablePassthrough,
@@ -78,6 +79,7 @@ __all__ = [
     "RunnablePick",
     "RunnableSequence",
     "RunnableWithFallbacks",
+    "RunnableWithMessageHistory",
     "get_config_list",
     "aadd",
     "add",

libs/core/langchain_core/runnables/history.py

@@ -25,8 +25,8 @@ from langchain_core.runnables.utils import (
 )
 
 if TYPE_CHECKING:
-    from langchain_core.language_models import LanguageModelLike
-    from langchain_core.messages import BaseMessage
+    from langchain_core.language_models.base import LanguageModelLike
+    from langchain_core.messages.base import BaseMessage
     from langchain_core.runnables.config import RunnableConfig
     from langchain_core.tracers.schemas import Run
 

libs/core/tests/unit_tests/runnables/test_imports.py

@@ -26,6 +26,7 @@ EXPECTED_ALL = [
     "RunnablePick",
     "RunnableSequence",
     "RunnableWithFallbacks",
+    "RunnableWithMessageHistory",
     "get_config_list",
     "aadd",
     "add",