core[patch[: docstring update (#21036)

Added missed docstrings. Updated docstrings to consistent format.

libs/core/langchain_core/example_selectors/semantic_similarity.py

@@ -73,10 +73,10 @@ class _VectorStoreExampleSelector(BaseExampleSelector, BaseModel, ABC):
 
 
 class SemanticSimilarityExampleSelector(_VectorStoreExampleSelector):
-    """Example selector that selects examples based on SemanticSimilarity."""
+    """Select examples based on semantic similarity."""
 
     def select_examples(self, input_variables: Dict[str, str]) -> List[dict]:
-        """Select which examples to use based on semantic similarity."""
+        """Select examples based on semantic similarity."""
         # Get the docs with the highest similarity.
         vectorstore_kwargs = self.vectorstore_kwargs or {}
         example_docs = self.vectorstore.similarity_search(
@@ -87,7 +87,7 @@ class SemanticSimilarityExampleSelector(_VectorStoreExampleSelector):
         return self._documents_to_examples(example_docs)
 
     async def aselect_examples(self, input_variables: Dict[str, str]) -> List[dict]:
-        """Select which examples to use based on semantic similarity."""
+        """Asynchronously select examples based on semantic similarity."""
         # Get the docs with the highest similarity.
         vectorstore_kwargs = self.vectorstore_kwargs or {}
         example_docs = await self.vectorstore.asimilarity_search(
@@ -187,7 +187,7 @@ class SemanticSimilarityExampleSelector(_VectorStoreExampleSelector):
 
 
 class MaxMarginalRelevanceExampleSelector(_VectorStoreExampleSelector):
-    """ExampleSelector that selects examples based on Max Marginal Relevance.
+    """Select examples based on Max Marginal Relevance.
 
     This was shown to improve performance in this paper:
     https://arxiv.org/pdf/2211.13892.pdf
@@ -197,6 +197,14 @@ class MaxMarginalRelevanceExampleSelector(_VectorStoreExampleSelector):
     """Number of examples to fetch to rerank."""
 
     def select_examples(self, input_variables: Dict[str, str]) -> List[dict]:
+        """Select examples based on Max Marginal Relevance.
+
+        Args:
+            input_variables: The input variables to use for search.
+
+        Returns:
+            The selected examples.
+        """
         example_docs = self.vectorstore.max_marginal_relevance_search(
             self._example_to_text(input_variables, self.input_keys),
             k=self.k,
@@ -205,6 +213,14 @@ class MaxMarginalRelevanceExampleSelector(_VectorStoreExampleSelector):
         return self._documents_to_examples(example_docs)
 
     async def aselect_examples(self, input_variables: Dict[str, str]) -> List[dict]:
+        """Asynchronously select examples based on Max Marginal Relevance.
+
+        Args:
+            input_variables: The input variables to use for search.
+
+        Returns:
+            The selected examples.
+        """
         example_docs = await self.vectorstore.amax_marginal_relevance_search(
             self._example_to_text(input_variables, self.input_keys),
             k=self.k,
@@ -272,7 +288,8 @@ class MaxMarginalRelevanceExampleSelector(_VectorStoreExampleSelector):
         vectorstore_kwargs: Optional[dict] = None,
         **vectorstore_cls_kwargs: Any,
     ) -> MaxMarginalRelevanceExampleSelector:
-        """Create k-shot example selector using example list and embeddings.
+        """Asynchronously create k-shot example selector using example list and
+        embeddings.
 
         Reshuffles examples dynamically based on Max Marginal Relevance.
 

libs/core/langchain_core/indexing/base.py

@@ -5,7 +5,7 @@ from typing import List, Optional, Sequence
 
 
 class RecordManager(ABC):
-    """An abstract base class representing the interface for a record manager."""
+    """Abstract base class representing the interface for a record manager."""
 
     def __init__(
         self,
@@ -24,7 +24,7 @@ class RecordManager(ABC):
 
     @abstractmethod
     async def acreate_schema(self) -> None:
-        """Create the database schema for the record manager."""
+        """Asynchronously create the database schema for the record manager."""
 
     @abstractmethod
     def get_time(self) -> float:
@@ -39,7 +39,7 @@ class RecordManager(ABC):
 
     @abstractmethod
     async def aget_time(self) -> float:
-        """Get the current server time as a high resolution timestamp!
+        """Asynchronously get the current server time as a high resolution timestamp.
 
         It's important to get this from the server to ensure a monotonic clock,
         otherwise there may be data loss when cleaning up old documents!
@@ -84,7 +84,7 @@ class RecordManager(ABC):
         group_ids: Optional[Sequence[Optional[str]]] = None,
         time_at_least: Optional[float] = None,
     ) -> None:
-        """Upsert records into the database.
+        """Asynchronously upsert records into the database.
 
         Args:
             keys: A list of record keys to upsert.
@@ -117,7 +117,7 @@ class RecordManager(ABC):
 
     @abstractmethod
     async def aexists(self, keys: Sequence[str]) -> List[bool]:
-        """Check if the provided keys exist in the database.
+        """Asynchronously check if the provided keys exist in the database.
 
         Args:
             keys: A list of keys to check.
@@ -156,7 +156,7 @@ class RecordManager(ABC):
         group_ids: Optional[Sequence[str]] = None,
         limit: Optional[int] = None,
     ) -> List[str]:
-        """List records in the database based on the provided filters.
+        """Asynchronously list records in the database based on the provided filters.
 
         Args:
             before: Filter to list records updated before this time.
@@ -178,7 +178,7 @@ class RecordManager(ABC):
 
     @abstractmethod
     async def adelete_keys(self, keys: Sequence[str]) -> None:
-        """Delete specified records from the database.
+        """Asynchronously delete specified records from the database.
 
         Args:
             keys: A list of keys to delete.

libs/core/langchain_core/language_models/chat_models.py

@@ -913,7 +913,7 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
 
 
 class SimpleChatModel(BaseChatModel):
-    """A simplified implementation for a chat model to inherit from."""
+    """Simplified implementation for a chat model to inherit from."""
 
     def _generate(
         self,

libs/core/langchain_core/language_models/fake_chat_models.py

@@ -151,7 +151,7 @@ class FakeChatModel(SimpleChatModel):
 
 
 class GenericFakeChatModel(BaseChatModel):
-    """A generic fake chat model that can be used to test the chat model interface.
+    """Generic fake chat model that can be used to test the chat model interface.
 
     * Chat model should be usable in both sync and async tests
     * Invokes on_llm_new_token to allow for testing of callback related code for new
@@ -288,7 +288,7 @@ class GenericFakeChatModel(BaseChatModel):
 
 
 class ParrotFakeChatModel(BaseChatModel):
-    """A generic fake chat model that can be used to test the chat model interface.
+    """Generic fake chat model that can be used to test the chat model interface.
 
     * Chat model should be usable in both sync and async tests
     """

libs/core/langchain_core/language_models/llms.py

@@ -1218,7 +1218,7 @@ class BaseLLM(BaseLanguageModel[str], ABC):
 
 
 class LLM(BaseLLM):
-    """This class exposes a simple interface for implementing a custom LLM.
+    """Simple interface for implementing a custom LLM.
 
     You should subclass this class and implement the following:
 

libs/core/langchain_core/prompt_values.py

@@ -90,6 +90,8 @@ class ChatPromptValue(PromptValue):
 
 
 class ImageURL(TypedDict, total=False):
+    """Image URL."""
+
     detail: Literal["auto", "low", "high"]
     """Specifies the detail level of the image."""
 

libs/core/langchain_core/prompts/image.py

@@ -8,7 +8,7 @@ from langchain_core.utils import image as image_utils
 
 
 class ImagePromptTemplate(BasePromptTemplate[ImageURL]):
-    """An image prompt template for a multimodal model."""
+    """Image prompt template for a multimodal model."""
 
     template: dict = Field(default_factory=dict)
     """Template for the prompt."""

libs/core/langchain_core/prompts/prompt.py

@@ -17,7 +17,7 @@ from langchain_core.runnables.config import RunnableConfig
 
 
 class PromptTemplate(StringPromptTemplate):
-    """A prompt template for a language model.
+    """Prompt template for a language model.
 
     A prompt template consists of a string template. It accepts a set of parameters
     from the user that can be used to generate a prompt for a language model.

libs/core/langchain_core/prompts/structured.py

@@ -33,7 +33,10 @@ from langchain_core.runnables.base import (
 
 @beta()
 class StructuredPrompt(ChatPromptTemplate):
+    """Structured prompt template for a language model."""
+
     schema_: Union[Dict, Type[BaseModel]]
+    """Schema for the structured prompt."""
 
     @classmethod
     def get_lc_namespace(cls) -> List[str]:

libs/core/langchain_core/runnables/configurable.py

@@ -641,7 +641,8 @@ def make_options_spec(
     description: Optional[str],
 ) -> ConfigurableFieldSpec:
     """Make a ConfigurableFieldSpec for a ConfigurableFieldSingleOption or
-    ConfigurableFieldMultiOption."""
+    ConfigurableFieldMultiOption.
+    """
     with _enums_for_spec_lock:
         if enum := _enums_for_spec.get(spec):
             pass

libs/core/langchain_core/runnables/graph.py

@@ -26,11 +26,23 @@ if TYPE_CHECKING:
 
 
 class LabelsDict(TypedDict):
+    """Dictionary of labels for nodes and edges in a graph."""
+
     nodes: dict[str, str]
+    """Labels for nodes."""
     edges: dict[str, str]
+    """Labels for edges."""
 
 
 def is_uuid(value: str) -> bool:
+    """Check if a string is a valid UUID.
+
+    Args:
+        value: The string to check.
+
+    Returns:
+        True if the string is a valid UUID, False otherwise.
+    """
     try:
         UUID(value)
         return True
@@ -95,6 +107,14 @@ class MermaidDrawMethod(Enum):
 
 
 def node_data_str(node: Node) -> str:
+    """Convert the data of a node to a string.
+
+    Args:
+        node: The node to convert.
+
+    Returns:
+        A string representation of the data.
+    """
     from langchain_core.runnables.base import Runnable
 
     if not is_uuid(node.id):
@@ -120,6 +140,16 @@ def node_data_str(node: Node) -> str:
 def node_data_json(
     node: Node, *, with_schemas: bool = False
 ) -> Dict[str, Union[str, Dict[str, Any]]]:
+    """Convert the data of a node to a JSON-serializable format.
+
+    Args:
+        node: The node to convert.
+        with_schemas: Whether to include the schema of the data if
+            it is a Pydantic model.
+
+    Returns:
+        A dictionary with the type of the data and the data itself.
+    """
     from langchain_core.load.serializable import to_json_not_implemented
     from langchain_core.runnables.base import Runnable, RunnableSerializable
 

libs/core/langchain_core/runnables/graph_png.py

@@ -4,9 +4,9 @@ from langchain_core.runnables.graph import Graph, LabelsDict
 
 
 class PngDrawer:
-    """
-    A helper class to draw a state graph into a PNG file.
-    Requires graphviz and pygraphviz to be installed.
+    """Helper class to draw a state graph into a PNG file.
+
+    It requires graphviz and pygraphviz to be installed.
     :param fontname: The font to use for the labels
     :param labels: A dictionary of label overrides. The dictionary
         should have the following format:
@@ -30,18 +30,62 @@ class PngDrawer:
     def __init__(
         self, fontname: Optional[str] = None, labels: Optional[LabelsDict] = None
     ) -> None:
+        """Initializes the PNG drawer.
+
+        Args:
+            fontname: The font to use for the labels
+            labels: A dictionary of label overrides. The dictionary
+                should have the following format:
+                {
+                    "nodes": {
+                        "node1": "CustomLabel1",
+                        "node2": "CustomLabel2",
+                        "__end__": "End Node"
+                    },
+                    "edges": {
+                        "continue": "ContinueLabel",
+                        "end": "EndLabel"
+                    }
+                }
+                The keys are the original labels, and the values are the new labels.
+        """
         self.fontname = fontname or "arial"
         self.labels = labels or LabelsDict(nodes={}, edges={})
 
     def get_node_label(self, label: str) -> str:
+        """Returns the label to use for a node.
+
+        Args:
+            label: The original label
+
+        Returns:
+            The new label.
+        """
         label = self.labels.get("nodes", {}).get(label, label)
         return f"<<B>{label}</B>>"
 
     def get_edge_label(self, label: str) -> str:
+        """Returns the label to use for an edge.
+
+        Args:
+            label: The original label
+
+        Returns:
+            The new label.
+        """
         label = self.labels.get("edges", {}).get(label, label)
         return f"<<U>{label}</U>>"
 
     def add_node(self, viz: Any, node: str) -> None:
+        """Adds a node to the graph.
+
+        Args:
+            viz: The graphviz object
+            node: The node to add
+
+        Returns:
+            None
+        """
         viz.add_node(
             node,
             label=self.get_node_label(node),
@@ -59,6 +103,18 @@ class PngDrawer:
         label: Optional[str] = None,
         conditional: bool = False,
     ) -> None:
+        """Adds an edge to the graph.
+
+        Args:
+            viz: The graphviz object
+            source: The source node
+            target: The target node
+            label: The label for the edge. Defaults to None.
+            conditional: Whether the edge is conditional. Defaults to False.
+
+        Returns:
+            None
+        """
         viz.add_edge(
             source,
             target,
@@ -69,8 +125,8 @@ class PngDrawer:
         )
 
     def draw(self, graph: Graph, output_path: Optional[str] = None) -> Optional[bytes]:
-        """
-        Draws the given state graph into a PNG file.
+        """Draw the given state graph into a PNG file.
+
         Requires graphviz and pygraphviz to be installed.
         :param graph: The graph to draw
         :param output_path: The path to save the PNG. If None, PNG bytes are returned.

libs/core/langchain_core/runnables/passthrough.py

@@ -329,8 +329,7 @@ _graph_passthrough: RunnablePassthrough = RunnablePassthrough()
 
 
 class RunnableAssign(RunnableSerializable[Dict[str, Any], Dict[str, Any]]):
-    """
-    A runnable that assigns key-value pairs to Dict[str, Any] inputs.
+    """Runnable that assigns key-value pairs to Dict[str, Any] inputs.
 
     The `RunnableAssign` class takes input dictionaries and, through a
     `RunnableParallel` instance, applies transformations, then combines

libs/core/langchain_core/runnables/utils.py

@@ -507,6 +507,15 @@ def create_model(
     __model_name: str,
     **field_definitions: Any,
 ) -> Type[BaseModel]:
+    """Create a pydantic model with the given field definitions.
+
+    Args:
+        __model_name: The name of the model.
+        **field_definitions: The field definitions for the model.
+
+    Returns:
+        Type[BaseModel]: The created model.
+    """
     try:
         return _create_model_cached(__model_name, **field_definitions)
     except TypeError:

libs/core/langchain_core/structured_query.py

@@ -93,11 +93,11 @@ class Comparator(str, Enum):
 
 
 class FilterDirective(Expr, ABC):
-    """A filtering expression."""
+    """Filtering expression."""
 
 
 class Comparison(FilterDirective):
-    """A comparison to a value."""
+    """Comparison to a value."""
 
     comparator: Comparator
     attribute: str
@@ -112,7 +112,7 @@ class Comparison(FilterDirective):
 
 
 class Operation(FilterDirective):
-    """A logical operation over other directives."""
+    """Llogical operation over other directives."""
 
     operator: Operator
     arguments: List[FilterDirective]
@@ -124,7 +124,7 @@ class Operation(FilterDirective):
 
 
 class StructuredQuery(Expr):
-    """A structured query."""
+    """Structured query."""
 
     query: str
     """Query string."""

libs/core/langchain_core/tracers/context.py

@@ -43,7 +43,7 @@ run_collector_var: ContextVar[Optional[RunCollectorCallbackHandler]] = ContextVa
 def tracing_enabled(
     session_name: str = "default",
 ) -> Generator[TracerSessionV1, None, None]:
-    """Throws an error because this has been replaced by tracing_v2_enabled."""
+    """Throw an error because this has been replaced by tracing_v2_enabled."""
     raise RuntimeError(
         "tracing_enabled is no longer supported. Please use tracing_enabled_v2 instead."
     )

libs/core/langchain_core/tracers/langchain_v1.py

@@ -2,6 +2,7 @@ from typing import Any
 
 
 def get_headers(*args: Any, **kwargs: Any) -> Any:
+    """Throw an error because this has been replaced by get_headers."""
     raise RuntimeError(
         "get_headers for LangChainTracerV1 is no longer supported. "
         "Please use LangChainTracer instead."
@@ -9,6 +10,7 @@ def get_headers(*args: Any, **kwargs: Any) -> Any:
 
 
 def LangChainTracerV1(*args: Any, **kwargs: Any) -> Any:
+    """Throw an error because this has been replaced by LangChainTracer."""
     raise RuntimeError(
         "LangChainTracerV1 is no longer supported. Please use LangChainTracer instead."
     )

libs/core/langchain_core/utils/aiter.py

@@ -120,7 +120,7 @@ async def tee_peer(
 
 class Tee(Generic[T]):
     """
-    Create ``n`` separate asynchronous iterators over ``iterable``
+    Create ``n`` separate asynchronous iterators over ``iterable``.
 
     This splits a single ``iterable`` into multiple iterators, each providing
     the same items in the same order.

libs/core/langchain_core/utils/mustache.py

@@ -31,6 +31,8 @@ _LAST_TAG_LINE = None
 
 
 class ChevronError(SyntaxError):
+    """Custom exception for Chevron errors."""
+
     pass
 
 
@@ -40,7 +42,7 @@ class ChevronError(SyntaxError):
 
 
 def grab_literal(template: str, l_del: str) -> Tuple[str, str]:
-    """Parse a literal from the template"""
+    """Parse a literal from the template."""
 
     global _CURRENT_LINE
 
@@ -57,7 +59,7 @@ def grab_literal(template: str, l_del: str) -> Tuple[str, str]:
 
 
 def l_sa_check(template: str, literal: str, is_standalone: bool) -> bool:
-    """Do a preliminary check to see if a tag could be a standalone"""
+    """Do a preliminary check to see if a tag could be a standalone."""
 
     # If there is a newline, or the previous tag was a standalone
     if literal.find("\n") != -1 or is_standalone:
@@ -75,7 +77,7 @@ def l_sa_check(template: str, literal: str, is_standalone: bool) -> bool:
 
 
 def r_sa_check(template: str, tag_type: str, is_standalone: bool) -> bool:
-    """Do a final checkto see if a tag could be a standalone"""
+    """Do a final check to see if a tag could be a standalone."""
 
     # Check right side if we might be a standalone
     if is_standalone and tag_type not in ["variable", "no escape"]:
@@ -93,7 +95,7 @@ def r_sa_check(template: str, tag_type: str, is_standalone: bool) -> bool:
 
 
 def parse_tag(template: str, l_del: str, r_del: str) -> Tuple[Tuple[str, str], str]:
-    """Parse a tag from a template"""
+    """Parse a tag from a template."""
     global _CURRENT_LINE
     global _LAST_TAG_LINE
 
@@ -157,7 +159,7 @@ def parse_tag(template: str, l_del: str, r_del: str) -> Tuple[Tuple[str, str], s
 def tokenize(
     template: str, def_ldel: str = "{{", def_rdel: str = "}}"
 ) -> Iterator[Tuple[str, str]]:
-    """Tokenize a mustache template
+    """Tokenize a mustache template.
 
     Tokenizes a mustache template in a generator fashion,
     using file-like objects. It also accepts a string containing

libs/core/langchain_core/utils/utils.py

@@ -84,7 +84,7 @@ def mock_now(dt_value):  # type: ignore
 def guard_import(
     module_name: str, *, pip_name: Optional[str] = None, package: Optional[str] = None
 ) -> Any:
-    """Dynamically imports a module and raises a helpful exception if the module is not
+    """Dynamically import a module and raise an exception if the module is not
     installed."""
     try:
         module = importlib.import_module(module_name, package)