docs: fix kwargs docstring (#25010)

Fix:
![Screenshot 2024-08-02 at 5 33 37
PM](https://github.com/user-attachments/assets/7c56cdeb-ee81-454c-b3eb-86aa8a9bdc8d)

libs/community/langchain_community/agent_toolkits/json/base.py

@@ -38,7 +38,7 @@ def create_json_agent(
         input_variables: The input variables to use. Default is None.
         verbose: Whether to print verbose output. Default is False.
         agent_executor_kwargs: Optional additional arguments for the agent executor.
-        **kwargs: Additional arguments for the agent.
+        kwargs: Additional arguments for the agent.
 
     Returns:
         The agent executor.

libs/community/langchain_community/agent_toolkits/load_tools.py

@@ -590,7 +590,7 @@ def load_huggingface_tool(
         model_repo_id: Optional model repo id. Defaults to None.
         token: Optional token. Defaults to None.
         remote: Optional remote. Defaults to False.
-        **kwargs: Additional keyword arguments.
+        kwargs: Additional keyword arguments.
 
     Returns:
         A tool.
@@ -686,7 +686,7 @@ def load_tools(
             It is your responsibility to understand which tools
             you're using and the risks associated with them.
             Defaults to False.
-        **kwargs: Additional keyword arguments.
+        kwargs: Additional keyword arguments.
 
     Returns:
         List of tools.

libs/community/langchain_community/agent_toolkits/nla/tool.py

@@ -62,7 +62,7 @@ class NLATool(Tool):
             verbose: Whether to print verbose output. Default is False.
             return_intermediate_steps: Whether to return intermediate steps.
                 Default is False.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The tool.

libs/community/langchain_community/agent_toolkits/nla/toolkit.py

@@ -76,7 +76,7 @@ class NLAToolkit(BaseToolkit):
             spec: The OpenAPI spec.
             requests: Optional requests object. Default is None.
             verbose: Whether to print verbose output. Default is False.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The toolkit.
@@ -102,7 +102,7 @@ class NLAToolkit(BaseToolkit):
             open_api_url: The URL of the OpenAPI spec.
             requests: Optional requests object. Default is None.
             verbose: Whether to print verbose output. Default is False.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The toolkit.

libs/community/langchain_community/agent_toolkits/openapi/base.py

@@ -64,7 +64,7 @@ def create_openapi_agent(
             Default is False.
         agent_executor_kwargs: Optional. Additional keyword arguments
             for the agent executor.
-        **kwargs: Additional arguments.
+        kwargs: Additional arguments.
 
     Returns:
         The agent executor.

libs/community/langchain_community/agent_toolkits/openapi/planner.py

@@ -421,7 +421,7 @@ def create_openapi_agent(
             Default is False.
         allowed_operations: Optional. The allowed operations.
             Default is ("GET", "POST").
-        **kwargs: Additional arguments.
+        kwargs: Additional arguments.
 
     Returns:
         The agent executor.

libs/community/langchain_community/chat_models/zhipuai.py

@@ -48,7 +48,7 @@ def connect_sse(client: Any, method: str, url: str, **kwargs: Any) -> Iterator:
         client: The HTTP client.
         method: The HTTP method.
         url: The URL.
-        **kwargs: Additional keyword arguments.
+        kwargs: Additional keyword arguments.
 
     Yields:
         The event source.
@@ -69,7 +69,7 @@ async def aconnect_sse(
         client: The HTTP client.
         method: The HTTP method.
         url: The URL.
-        **kwargs: Additional keyword arguments.
+        kwargs: Additional keyword arguments.
 
     Yields:
         The event source.

libs/community/langchain_community/document_loaders/airtable.py

@@ -16,7 +16,7 @@ class AirtableLoader(BaseLoader):
             api_token: Airtable API token.
             table_id: Airtable table ID.
             base_id:
-            **kwargs: Additional parameters to pass to Table.all(). Refer to the
+            kwargs: Additional parameters to pass to Table.all(). Refer to the
                 pyairtable documentation for available options:
                 https://pyairtable.readthedocs.io/en/latest/api.html#pyairtable.Table.all
         """  # noqa: E501

libs/community/langchain_community/document_transformers/markdownify.py

@@ -13,7 +13,7 @@ class MarkdownifyTransformer(BaseDocumentTransformer):
         convert: A list of tags to convert. This option can't be used with the strip option.
         autolinks: A boolean indicating whether the "automatic link" style should be used when a a tag's contents match its href. Defaults to True.
         heading_style: Defines how headings should be converted. Accepted values are ATX, ATX_CLOSED, SETEXT, and UNDERLINED (which is an alias for SETEXT). Defaults to ATX.
-        **kwargs: Additional options to pass to markdownify.
+        kwargs: Additional options to pass to markdownify.
 
     Example:
         .. code-block:: python

libs/community/langchain_community/llms/sambanova.py

@@ -389,7 +389,7 @@ class Sambaverse(LLM):
             prompt: The prompt to pass into the model.
             stop: Optional list of stop words to use when generating.
             run_manager: Callback manager for the run.
-            **kwargs: Additional keyword arguments. directly passed
+            kwargs: Additional keyword arguments. directly passed
                 to the sambaverse model in API call.
 
         Returns:
@@ -426,7 +426,7 @@ class Sambaverse(LLM):
             stop: Stop words to use when generating. Model output is cut off at the
                 first occurrence of any of the stop substrings.
             run_manager: Callback manager for the run.
-            **kwargs: Additional keyword arguments. directly passed
+            kwargs: Additional keyword arguments. directly passed
                 to the sambaverse model in API call.
 
         Returns:
@@ -453,7 +453,7 @@ class Sambaverse(LLM):
             stop: Stop words to use when generating. Model output is cut off at the
                 first occurrence of any of the stop substrings.
             run_manager: Callback manager for the run.
-            **kwargs: Additional keyword arguments. directly passed
+            kwargs: Additional keyword arguments. directly passed
                 to the sambaverse model in API call.
 
         Returns:
@@ -951,7 +951,7 @@ class SambaStudio(LLM):
             stop: Stop words to use when generating. Model output is cut off at the
                 first occurrence of any of the stop substrings.
             run_manager: Callback manager for the run.
-            **kwargs: Additional keyword arguments. directly passed
+            kwargs: Additional keyword arguments. directly passed
                 to the sambaverse model in API call.
 
         Returns:

libs/community/langchain_community/utilities/cassandra.py

@@ -41,7 +41,7 @@ async def aexecute_cql(session: Session, query: str, **kwargs: Any) -> Any:
     Args:
         session: The Cassandra session to use.
         query: The CQL query to execute.
-        **kwargs: Additional keyword arguments to pass to the session execute method.
+        kwargs: Additional keyword arguments to pass to the session execute method.
 
     Returns:
         The result of the query.

libs/community/langchain_community/vectorstores/aerospike.py

@@ -178,7 +178,7 @@ class Aerospike(VectorStore):
             wait_for_index: If True, wait for the all the texts to be indexed
                 before returning. Requires index_name to be provided. Defaults
                 to True.
-            **kwargs: Additional keyword arguments to pass to the client upsert call.
+            kwargs: Additional keyword arguments to pass to the client upsert call.
 
         Returns:
             List of ids from adding the texts into the vectorstore.

libs/community/langchain_community/vectorstores/aperturedb.py

@@ -396,7 +396,7 @@ class ApertureDB(VectorStore):
             texts: List of text strings
             embedding: Embeddings object as for constructing the vectorstore
             metadatas: Optional list of metadatas associated with the texts.
-            **kwargs: Additional arguments to pass to the constructor
+            kwargs: Additional arguments to pass to the constructor
         """
         store = cls(embeddings=embedding, **kwargs)
         store.add_texts(texts, metadatas)
@@ -416,7 +416,7 @@ class ApertureDB(VectorStore):
             documents: List of Document objects
             embedding: Embeddings object as for constructing the vectorstore
             metadatas: Optional list of metadatas associated with the texts.
-            **kwargs: Additional arguments to pass to the constructor
+            kwargs: Additional arguments to pass to the constructor
         """
         store = cls(embeddings=embedding, **kwargs)
         store.add_documents(documents)

libs/community/langchain_community/vectorstores/clarifai.py

@@ -272,7 +272,7 @@ class Clarifai(VectorStore):
             token (Optional[str], optional): Session token. Defaults to None.
             metadatas (Optional[List[dict]]): Optional list
             of metadatas. Defaults to None.
-            **kwargs: Additional keyword arguments to be passed to the Search.
+            kwargs: Additional keyword arguments to be passed to the Search.
 
         Returns:
             Clarifai: Clarifai vectorstore.
@@ -310,7 +310,7 @@ class Clarifai(VectorStore):
             to return during vector search. Defaults to None.
             pat (Optional[str], optional): Personal access token. Defaults to None.
             token (Optional[str], optional): Session token. Defaults to None.
-            **kwargs: Additional keyword arguments to be passed to the Search.
+            kwargs: Additional keyword arguments to be passed to the Search.
 
         Returns:
             Clarifai: Clarifai vectorstore.

libs/community/langchain_community/vectorstores/deeplake.py

@@ -385,7 +385,7 @@ class DeepLake(VectorStore):
                 model was trained. The search is performed using the Deep Memory model.
                 If False, the distance metric is set to "COS" or whatever distance
                 metric user specifies.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             List of Documents by the specified distance metric,
@@ -505,7 +505,7 @@ class DeepLake(VectorStore):
         Args:
             k (int): Number of Documents to return. Defaults to 4.
             query (str): Text to look up similar documents.
-            **kwargs: Additional keyword arguments include:
+            kwargs: Additional keyword arguments include:
                 embedding (Callable): Embedding function to use. Defaults to None.
                 distance_metric (str): 'L2' for Euclidean, 'L1' for Nuclear, 'max'
                     for L-infinity, 'cos' for cosine, 'dot' for dot product.
@@ -567,7 +567,7 @@ class DeepLake(VectorStore):
             embedding (Union[List[float], np.ndarray]):
                 Embedding to find similar docs.
             k (int): Number of Documents to return. Defaults to 4.
-            **kwargs: Additional keyword arguments including:
+            kwargs: Additional keyword arguments including:
                 filter (Union[Dict, Callable], optional):
                     Additional filter before embedding search.
                     - ``Dict`` - Key-value search on tensors of htype json. True
@@ -636,7 +636,7 @@ class DeepLake(VectorStore):
         Args:
             query (str): Query text to search for.
             k (int): Number of results to return. Defaults to 4.
-            **kwargs: Additional keyword arguments. Some of these arguments are:
+            kwargs: Additional keyword arguments. Some of these arguments are:
                 distance_metric: `L2` for Euclidean, `L1` for Nuclear, `max` L-infinity
                     distance, `cos` for cosine similarity, 'dot' for dot product.
                     Defaults to `L2`.
@@ -728,7 +728,7 @@ class DeepLake(VectorStore):
                 which the model was trained. The search is performed using the Deep
                 Memory model. If False, the distance metric is set to "COS" or
                 whatever distance metric user specifies.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             List[Documents] - A list of documents.
@@ -795,7 +795,7 @@ class DeepLake(VectorStore):
                 which the model was trained. The search is performed using the Deep
                 Memory model. If False, the distance metric is set to "COS" or
                 whatever distance metric user specifies.
-            **kwargs: Additional keyword arguments
+            kwargs: Additional keyword arguments
 
         Returns:
             List of Documents selected by maximal marginal relevance.
@@ -866,7 +866,7 @@ class DeepLake(VectorStore):
                 Note, in other places, it is called embedding_function.
             metadatas (Optional[List[dict]]): List of metadatas. Defaults to None.
             ids (Optional[List[str]]): List of document IDs. Defaults to None.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             DeepLake: Deep Lake dataset.

libs/community/langchain_community/vectorstores/duckdb.py

@@ -255,7 +255,7 @@ class DuckDB(VectorStore):
             texts: List of strings to add to the vector store.
             embedding: The embedding function or model to use for generating embeddings.
             metadatas: Optional list of metadata dictionaries associated with the texts.
-            **kwargs: Additional keyword arguments including:
+            kwargs: Additional keyword arguments including:
                 - connection: DuckDB connection. If not provided, a new connection will
                   be created.
                 - vector_key: The column name for storing vectors. Default "vector".

libs/community/langchain_community/vectorstores/tidb_vector.py

@@ -285,7 +285,7 @@ class TiDBVectorStore(VectorStore):
 
         Args:
             ids (Optional[List[str]]): A list of vector IDs to delete.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
         """
 
         self._tidb.delete(ids=ids, **kwargs)
@@ -305,7 +305,7 @@ class TiDBVectorStore(VectorStore):
             k (int, optional): The number of results to retrieve. Defaults to 4.
             filter (dict, optional): A filter to apply to the search results.
                 Defaults to None.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             List[Document]: A list of Document objects representing the search results.
@@ -328,7 +328,7 @@ class TiDBVectorStore(VectorStore):
             k (int, optional): The number of results to return. Defaults to 5.
             filter (dict, optional): A filter to apply to the search results.
                 Defaults to None.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             A list of tuples containing relevant documents and their similarity scores.

libs/community/langchain_community/vectorstores/weaviate.py

@@ -428,7 +428,7 @@ class Weaviate(VectorStore):
             relevance_score_fn: Function for converting whatever distance function the
                 vector store uses to a relevance score, which is a normalized similarity
                 score (0 means dissimilar, 1 means similar).
-            **kwargs: Additional named parameters to pass to ``Weaviate.__init__()``.
+            kwargs: Additional named parameters to pass to ``Weaviate.__init__()``.
 
         Example:
             .. code-block:: python

libs/community/langchain_community/vectorstores/zep.py

@@ -639,7 +639,7 @@ class ZepVectorStore(VectorStore):
             api_url (str): The URL of the Zep API.
             api_key (Optional[str]): The API key for the Zep API.
             config (Optional[CollectionConfig]): The configuration for the collection.
-            **kwargs: Additional parameters specific to the vectorstore.
+            kwargs: Additional parameters specific to the vectorstore.
 
         Returns:
             ZepVectorStore: An instance of ZepVectorStore.

libs/community/langchain_community/vectorstores/zep_cloud.py

@@ -442,7 +442,7 @@ class ZepCloudVectorStore(VectorStore):
                associated with the texts.
             collection_name (str): The name of the collection in the Zep store.
             api_key (str): The API key for the Zep API.
-            **kwargs: Additional parameters specific to the vectorstore.
+            kwargs: Additional parameters specific to the vectorstore.
 
         Returns:
             ZepVectorStore: An instance of ZepVectorStore.

libs/core/langchain_core/load/dump.py

@@ -28,7 +28,7 @@ def dumps(obj: Any, *, pretty: bool = False, **kwargs: Any) -> str:
         pretty: Whether to pretty print the json. If true, the json will be
             indented with 2 spaces (if no indent is provided as part of kwargs).
             Default is False.
-        **kwargs: Additional arguments to pass to json.dumps
+        kwargs: Additional arguments to pass to json.dumps
 
     Returns:
         A json string representation of the object.

libs/core/langchain_core/messages/ai.py

@@ -89,7 +89,7 @@ class AIMessage(BaseMessage):
 
         Args:
             content: The content of the message.
-            **kwargs: Additional arguments to pass to the parent class.
+            kwargs: Additional arguments to pass to the parent class.
         """
         super().__init__(content=content, **kwargs)
 

libs/core/langchain_core/messages/base.py

@@ -61,7 +61,7 @@ class BaseMessage(Serializable):
 
         Args:
             content: The string contents of the message.
-            **kwargs: Additional fields to pass to the
+            kwargs: Additional fields to pass to the
         """
         super().__init__(content=content, **kwargs)
 

libs/core/langchain_core/messages/human.py

@@ -51,7 +51,7 @@ class HumanMessage(BaseMessage):
 
         Args:
             content: The string contents of the message.
-            **kwargs: Additional fields to pass to the message.
+            kwargs: Additional fields to pass to the message.
         """
         super().__init__(content=content, **kwargs)
 

libs/core/langchain_core/messages/modifier.py

@@ -16,7 +16,7 @@ class RemoveMessage(BaseMessage):
 
         Args:
             id: The ID of the message to remove.
-            **kwargs: Additional fields to pass to the message.
+            kwargs: Additional fields to pass to the message.
 
         Raises:
             ValueError: If the 'content' field is passed in kwargs.

libs/core/langchain_core/messages/system.py

@@ -45,7 +45,7 @@ class SystemMessage(BaseMessage):
 
         Args:
                content: The string contents of the message.
-               **kwargs: Additional fields to pass to the message.
+               kwargs: Additional fields to pass to the message.
         """
         super().__init__(content=content, **kwargs)
 

libs/core/langchain_core/messages/tool.py

@@ -83,7 +83,7 @@ class ToolMessage(BaseMessage):
 
         Args:
             content: The string contents of the message.
-            **kwargs: Additional fields to pass to the message
+            kwargs: Additional fields to pass to the message
         """
         super().__init__(content=content, **kwargs)
 

libs/core/langchain_core/retrievers.py

@@ -179,7 +179,7 @@ class BaseRetriever(RunnableSerializable[RetrieverInput, RetrieverOutput], ABC):
         Args:
             input: The query string.
             config: Configuration for the retriever. Defaults to None.
-            **kwargs: Additional arguments to pass to the retriever.
+            kwargs: Additional arguments to pass to the retriever.
 
         Returns:
             List of relevant documents.
@@ -238,7 +238,7 @@ class BaseRetriever(RunnableSerializable[RetrieverInput, RetrieverOutput], ABC):
         Args:
             input: The query string.
             config: Configuration for the retriever. Defaults to None.
-            **kwargs: Additional arguments to pass to the retriever.
+            kwargs: Additional arguments to pass to the retriever.
 
         Returns:
             List of relevant documents.
@@ -343,7 +343,7 @@ class BaseRetriever(RunnableSerializable[RetrieverInput, RetrieverOutput], ABC):
                 and passed as arguments to the handlers defined in `callbacks`.
                 Defaults to None.
             run_name: Optional name for the run. Defaults to None.
-            **kwargs: Additional arguments to pass to the retriever.
+            kwargs: Additional arguments to pass to the retriever.
 
         Returns:
             List of relevant documents.
@@ -387,7 +387,7 @@ class BaseRetriever(RunnableSerializable[RetrieverInput, RetrieverOutput], ABC):
                 and passed as arguments to the handlers defined in `callbacks`.
                 Defaults to None.
             run_name: Optional name for the run. Defaults to None.
-            **kwargs: Additional arguments to pass to the retriever.
+            kwargs: Additional arguments to pass to the retriever.
 
         Returns:
             List of relevant documents.

libs/core/langchain_core/runnables/base.py

@@ -738,7 +738,7 @@ class Runnable(Generic[Input, Output], ABC):
                for more details. Defaults to None.
             return_exceptions: Whether to return exceptions instead of raising them.
                 Defaults to False.
-            **kwargs: Additional keyword arguments to pass to the Runnable.
+            kwargs: Additional keyword arguments to pass to the Runnable.
 
         Returns:
             A list of outputs from the Runnable.
@@ -802,7 +802,7 @@ class Runnable(Generic[Input, Output], ABC):
                for more details. Defaults to None. Defaults to None.
             return_exceptions: Whether to return exceptions instead of raising them.
                 Defaults to False.
-            **kwargs: Additional keyword arguments to pass to the Runnable.
+            kwargs: Additional keyword arguments to pass to the Runnable.
 
         Yields:
             A tuple of the index of the input and the output from the Runnable.
@@ -846,7 +846,7 @@ class Runnable(Generic[Input, Output], ABC):
         Args:
             input: The input to the Runnable.
             config: The config to use for the Runnable. Defaults to None.
-            **kwargs: Additional keyword arguments to pass to the Runnable.
+            kwargs: Additional keyword arguments to pass to the Runnable.
 
         Yields:
             The output of the Runnable.
@@ -866,7 +866,7 @@ class Runnable(Generic[Input, Output], ABC):
         Args:
             input: The input to the Runnable.
             config: The config to use for the Runnable. Defaults to None.
-            **kwargs: Additional keyword arguments to pass to the Runnable.
+            kwargs: Additional keyword arguments to pass to the Runnable.
 
         Yields:
             The output of the Runnable.
@@ -943,7 +943,7 @@ class Runnable(Generic[Input, Output], ABC):
             exclude_names: Exclude logs with these names.
             exclude_types: Exclude logs with these types.
             exclude_tags: Exclude logs with these tags.
-            **kwargs: Additional keyword arguments to pass to the Runnable.
+            kwargs: Additional keyword arguments to pass to the Runnable.
 
         Yields:
             A RunLogPatch or RunLog object.
@@ -1260,7 +1260,7 @@ class Runnable(Generic[Input, Output], ABC):
         Args:
             input: An iterator of inputs to the Runnable.
             config: The config to use for the Runnable. Defaults to None.
-            **kwargs: Additional keyword arguments to pass to the Runnable.
+            kwargs: Additional keyword arguments to pass to the Runnable.
 
         Yields:
             The output of the Runnable.
@@ -1302,7 +1302,7 @@ class Runnable(Generic[Input, Output], ABC):
         Args:
             input: An async iterator of inputs to the Runnable.
             config: The config to use for the Runnable. Defaults to None.
-            **kwargs: Additional keyword arguments to pass to the Runnable.
+            kwargs: Additional keyword arguments to pass to the Runnable.
 
         Yields:
             The output of the Runnable.
@@ -4429,7 +4429,7 @@ class RunnableLambda(Runnable[Input, Output]):
         Args:
             input: The input to this Runnable.
             config: The config to use. Defaults to None.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             The output of this Runnable.
@@ -4461,7 +4461,7 @@ class RunnableLambda(Runnable[Input, Output]):
         Args:
             input: The input to this Runnable.
             config: The config to use. Defaults to None.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             The output of this Runnable.

libs/core/langchain_core/runnables/branch.py

@@ -196,7 +196,7 @@ class RunnableBranch(RunnableSerializable[Input, Output]):
         Args:
             input: The input to the Runnable.
             config: The configuration for the Runnable. Defaults to None.
-            **kwargs: Additional keyword arguments to pass to the Runnable.
+            kwargs: Additional keyword arguments to pass to the Runnable.
 
         Returns:
             The output of the branch that was run.
@@ -309,7 +309,7 @@ class RunnableBranch(RunnableSerializable[Input, Output]):
         Args:
             input: The input to the Runnable.
             config: The configuration for the Runnable. Defaults to None.
-            **kwargs: Additional keyword arguments to pass to the Runnable.
+            kwargs: Additional keyword arguments to pass to the Runnable.
 
         Yields:
             The output of the branch that was run.
@@ -396,7 +396,7 @@ class RunnableBranch(RunnableSerializable[Input, Output]):
         Args:
             input: The input to the Runnable.
             config: The configuration for the Runnable. Defaults to None.
-            **kwargs: Additional keyword arguments to pass to the Runnable.
+            kwargs: Additional keyword arguments to pass to the Runnable.
 
         Yields:
             The output of the branch that was run.

libs/core/langchain_core/tools.py

@@ -859,7 +859,7 @@ class Tool(BaseTool):
             return_direct: Whether to return the output directly. Defaults to False.
             args_schema: The schema of the tool's input arguments. Defaults to None.
             coroutine: The asynchronous version of the function. Defaults to None.
-            **kwargs: Additional arguments to pass to the tool.
+            kwargs: Additional arguments to pass to the tool.
 
         Returns:
             The tool.
@@ -992,7 +992,7 @@ class StructuredTool(BaseTool):
             error_on_invalid_docstring: if ``parse_docstring`` is provided, configure
                 whether to raise ValueError on invalid Google Style docstrings.
                 Defaults to False.
-            **kwargs: Additional arguments to pass to the tool
+            kwargs: Additional arguments to pass to the tool
 
         Returns:
             The tool.

libs/core/langchain_core/tracers/base.py

@@ -72,7 +72,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
             parent_run_id: The parent run ID. Defaults to None.
             metadata: The metadata for the run. Defaults to None.
             name: The name of the run.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -113,7 +113,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
             parent_run_id: The parent run ID. Defaults to None.
             metadata: The metadata for the run. Defaults to None.
             name: The name of the run.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -148,7 +148,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
             chunk: The chunk. Defaults to None.
             run_id: The run ID.
             parent_run_id: The parent run ID. Defaults to None.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -177,7 +177,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
         Args:
             retry_state: The retry state.
             run_id: The run ID.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -194,7 +194,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
         Args:
             response: The response.
             run_id: The run ID.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -221,7 +221,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
         Args:
             error: The error.
             run_id: The run ID.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -260,7 +260,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
             metadata: The metadata for the run. Defaults to None.
             run_type: The type of the run. Defaults to None.
             name: The name of the run.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -294,7 +294,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
             outputs: The outputs for the chain.
             run_id: The run ID.
             inputs: The inputs for the chain. Defaults to None.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -323,7 +323,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
             error: The error.
             inputs: The inputs for the chain. Defaults to None.
             run_id: The run ID.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -362,7 +362,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
             metadata: The metadata for the run. Defaults to None.
             name: The name of the run.
             inputs: The inputs for the tool.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -388,7 +388,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
         Args:
             output: The output for the tool.
             run_id: The run ID.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -414,7 +414,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
         Args:
             error: The error.
             run_id: The run ID.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -449,7 +449,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
             tags: The tags for the run. Defaults to None.
             metadata: The metadata for the run. Defaults to None.
             name: The name of the run.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -480,7 +480,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
         Args:
             error: The error.
             run_id: The run ID.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.
@@ -502,7 +502,7 @@ class BaseTracer(_TracerCore, BaseCallbackHandler, ABC):
         Args:
             documents: The documents.
             run_id: The run ID.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             The run.

libs/core/langchain_core/tracers/langchain.py

@@ -94,7 +94,7 @@ class LangChainTracer(BaseTracer):
             project_name: The project name. Defaults to the tracer project.
             client: The client. Defaults to the global client.
             tags: The tags. Defaults to an empty list.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
         """
         super().__init__(**kwargs)
         self.example_id = (
@@ -127,7 +127,7 @@ class LangChainTracer(BaseTracer):
             parent_run_id: The parent run ID. Defaults to None.
             metadata: The metadata. Defaults to None.
             name: The name. Defaults to None.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             Run: The run.

libs/core/langchain_core/vectorstores/base.py

@@ -145,7 +145,7 @@ class VectorStore(ABC):
         Args:
             items: Iterable of Documents to add to the vectorstore.
             batch_size: The size of each batch to upsert.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
                 kwargs should only include parameters that are common to all
                 documents. (e.g., timeout for indexing, retry policy, etc.)
                 kwargs should not include ids to avoid ambiguous semantics.
@@ -186,7 +186,7 @@ class VectorStore(ABC):
 
         Args:
             items: Sequence of Documents to add to the vectorstore.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             UpsertResponse: A response object that contains the list of IDs that were
@@ -247,7 +247,7 @@ class VectorStore(ABC):
         Args:
             items: Iterable of Documents to add to the vectorstore.
             batch_size: The size of each batch to upsert.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
                 kwargs should only include parameters that are common to all
                 documents. (e.g., timeout for indexing, retry policy, etc.)
                 kwargs should not include ids to avoid ambiguous semantics.
@@ -279,7 +279,7 @@ class VectorStore(ABC):
 
         Args:
             items: Sequence of Documents to add to the vectorstore.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             UpsertResponse: A response object that contains the list of IDs that were
@@ -1048,7 +1048,7 @@ class VectorStore(ABC):
         Args:
             documents: List of Documents to add to the vectorstore.
             embedding: Embedding function to use.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             VectorStore: VectorStore initialized from documents and embeddings.
@@ -1069,7 +1069,7 @@ class VectorStore(ABC):
         Args:
             documents: List of Documents to add to the vectorstore.
             embedding: Embedding function to use.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             VectorStore: VectorStore initialized from documents and embeddings.
@@ -1094,7 +1094,7 @@ class VectorStore(ABC):
             embedding: Embedding function to use.
             metadatas: Optional list of metadatas associated with the texts.
                 Default is None.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             VectorStore: VectorStore initialized from texts and embeddings.
@@ -1115,7 +1115,7 @@ class VectorStore(ABC):
             embedding: Embedding function to use.
             metadatas: Optional list of metadatas associated with the texts.
                 Default is None.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             VectorStore: VectorStore initialized from texts and embeddings.

libs/core/langchain_core/vectorstores/in_memory.py

@@ -324,7 +324,7 @@ class InMemoryVectorStore(VectorStore):
         Args:
             path: The path to load the vector store from.
             embedding: The embedding to use.
-            **kwargs: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
 
         Returns:
             A VectorStore object.

libs/experimental/langchain_experimental/agents/agent_toolkits/csv/base.py

@@ -25,7 +25,7 @@ def create_csv_agent(
         path: A string path, file-like object or a list of string paths/file-like
             objects that can be read in as pandas DataFrames with pd.read_csv().
         pandas_kwargs: Named arguments to pass to pd.read_csv().
-        **kwargs: Additional kwargs to pass to langchain_experimental.agents.agent_toolkits.pandas.base.create_pandas_dataframe_agent().
+        kwargs: Additional kwargs to pass to langchain_experimental.agents.agent_toolkits.pandas.base.create_pandas_dataframe_agent().
 
     Returns:
         An AgentExecutor with the specified agent_type agent and access to

libs/experimental/langchain_experimental/graph_transformers/diffbot.py

@@ -352,7 +352,7 @@ class DiffbotGraphTransformer:
 
         Args:
             documents (Sequence[Document]): The original documents.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             Sequence[GraphDocument]: The transformed documents as graphs.

libs/experimental/langchain_experimental/graph_transformers/llm.py

@@ -774,7 +774,7 @@ class LLMGraphTransformer:
 
         Args:
             documents (Sequence[Document]): The original documents.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             Sequence[GraphDocument]: The transformed documents as graphs.

libs/experimental/langchain_experimental/graph_transformers/relik.py

@@ -89,7 +89,7 @@ class RelikGraphTransformer:
 
         Args:
             documents (Sequence[Document]): The original documents.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             Sequence[GraphDocument]: The transformed documents as graphs.

libs/experimental/langchain_experimental/tabular_synthetic_data/openai.py

@@ -41,7 +41,7 @@ def create_openai_data_generator(
         from the function types.
 
 
-        **kwargs: Additional keyword arguments to be passed to
+        kwargs: Additional keyword arguments to be passed to
         `create_structured_output_chain`.
 
 

libs/langchain/langchain/agents/agent.py

@@ -156,7 +156,7 @@ class BaseSingleActionAgent(BaseModel):
             llm: Language model to use.
             tools: Tools to use.
             callback_manager: Callback manager to use.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             BaseSingleActionAgent: Agent object.
@@ -939,7 +939,7 @@ class Agent(BaseSingleActionAgent):
             tools: Tools to use.
             callback_manager: Callback manager to use.
             output_parser: Output parser to use.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             Agent: Agent object.
@@ -1110,7 +1110,7 @@ class AgentExecutor(Chain):
             agent: Agent to use.
             tools: Tools to use.
             callbacks: Callbacks to use.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             AgentExecutor: Agent executor object.
@@ -1741,7 +1741,7 @@ class AgentExecutor(Chain):
         Args:
             input: Input to the agent.
             config: Config to use.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Yields:
             AddableDict: Addable dictionary.
@@ -1772,7 +1772,7 @@ class AgentExecutor(Chain):
         Args:
             input: Input to the agent.
             config: Config to use.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Yields:
             AddableDict: Addable dictionary.

libs/langchain/langchain/agents/agent_toolkits/vectorstore/base.py

@@ -33,7 +33,7 @@ def create_vectorstore_agent(
         prefix (str, optional): The prefix prompt for the agent. If not provided uses default PREFIX.
         verbose (bool, optional): If you want to see the content of the scratchpad. [ Defaults to False ]
         agent_executor_kwargs (Optional[Dict[str, Any]], optional): If there is any other parameter you want to send to the agent. [ Defaults to None ]
-        **kwargs: Additional named parameters to pass to the ZeroShotAgent.
+        kwargs: Additional named parameters to pass to the ZeroShotAgent.
 
     Returns:
         AgentExecutor: Returns a callable AgentExecutor object. Either you can call it or use run method with the query to get the response
@@ -74,7 +74,7 @@ def create_vectorstore_router_agent(
         prefix (str, optional): The prefix prompt for the router agent. If not provided uses default ROUTER_PREFIX.
         verbose (bool, optional): If you want to see the content of the scratchpad. [ Defaults to False ]
         agent_executor_kwargs (Optional[Dict[str, Any]], optional): If there is any other parameter you want to send to the agent. [ Defaults to None ]
-        **kwargs: Additional named parameters to pass to the ZeroShotAgent.
+        kwargs: Additional named parameters to pass to the ZeroShotAgent.
 
     Returns:
         AgentExecutor: Returns a callable AgentExecutor object. Either you can call it or use run method with the query to get the response.

libs/langchain/langchain/agents/initialize.py

@@ -45,7 +45,7 @@ def initialize_agent(
         agent_kwargs: Additional keyword arguments to pass to the underlying agent.
             Defaults to None.
         tags: Tags to apply to the traced runs. Defaults to None.
-        **kwargs: Additional keyword arguments passed to the agent executor.
+        kwargs: Additional keyword arguments passed to the agent executor.
 
     Returns:
         An agent executor.

libs/langchain/langchain/agents/loading.py

@@ -44,7 +44,7 @@ def load_agent_from_config(
         config: Config dict to load agent from.
         llm: Language model to use as the agent.
         tools: List of tools this agent has access to.
-        **kwargs: Additional keyword arguments passed to the agent executor.
+        kwargs: Additional keyword arguments passed to the agent executor.
 
     Returns:
         An agent executor.
@@ -98,7 +98,7 @@ def load_agent(
 
     Args:
         path: Path to the agent file.
-        **kwargs: Additional keyword arguments passed to the agent executor.
+        kwargs: Additional keyword arguments passed to the agent executor.
 
     Returns:
         An agent executor.

libs/langchain/langchain/agents/mrkl/base.py

@@ -128,7 +128,7 @@ class ZeroShotAgent(Agent):
             format_instructions: The format instructions to use.
                 Defaults to FORMAT_INSTRUCTIONS.
             input_variables: The input variables to use. Defaults to None.
-            **kwargs: Additional parameters to pass to the agent.
+            kwargs: Additional parameters to pass to the agent.
         """
         cls._validate_tools(tools)
         prompt = cls.create_prompt(

libs/langchain/langchain/agents/openai_assistant/base.py

@@ -261,7 +261,7 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
             model: Assistant model to use.
             client: OpenAI or AzureOpenAI client.
                 Will create a default OpenAI client if not specified.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Returns:
             OpenAIAssistantRunnable configured to run using the created assistant.
@@ -418,7 +418,7 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
                 tools: Override Assistant tools for this run.
                 run_metadata: Metadata to associate with new run.
             config: Runnable config. Defaults to None.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
 
         Return:
             If self.as_agent, will return

libs/langchain/langchain/agents/openai_functions_agent/base.py

@@ -262,7 +262,7 @@ class OpenAIFunctionsAgent(BaseSingleActionAgent):
             extra_prompt_messages: Extra prompt messages to use. Defaults to None.
             system_message: The system message to use.
                 Defaults to a default system message.
-            **kwargs: Additional parameters to pass to the agent.
+            kwargs: Additional parameters to pass to the agent.
         """
         prompt = cls.create_prompt(
             extra_prompt_messages=extra_prompt_messages,

libs/langchain/langchain/agents/openai_functions_multi_agent/base.py

@@ -307,7 +307,7 @@ class OpenAIMultiFunctionsAgent(BaseMultiActionAgent):
             extra_prompt_messages: Extra prompt messages to use. Default is None.
             system_message: The system message to use.
                 Default is a default system message.
-            **kwargs: Additional arguments.
+            kwargs: Additional arguments.
         """
         prompt = cls.create_prompt(
             extra_prompt_messages=extra_prompt_messages,

libs/langchain/langchain/chains/conversational_retrieval/base.py

@@ -445,7 +445,7 @@ class ConversationalRetrievalChain(BaseConversationalRetrievalChain):
             combine_docs_chain_kwargs: Parameters to pass as kwargs to `load_qa_chain`
                 when constructing the combine_docs_chain.
             callbacks: Callbacks to pass to all subchains.
-            **kwargs: Additional parameters to pass when initializing
+            kwargs: Additional parameters to pass when initializing
                 ConversationalRetrievalChain
         """
         combine_docs_chain_kwargs = combine_docs_chain_kwargs or {}

libs/langchain/langchain/chains/elasticsearch_database/base.py

@@ -197,7 +197,7 @@ class ElasticsearchDatabaseChain(Chain):
             answer_prompt: The prompt to use for answering user question given data.
             query_output_parser: The output parser to use for parsing model-generated
                 ES query. Defaults to SimpleJsonOutputParser.
-            **kwargs: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
         """
         query_prompt = query_prompt or DSL_PROMPT
         query_output_parser = query_output_parser or SimpleJsonOutputParser()

libs/langchain/langchain/chains/flare/base.py

@@ -245,7 +245,7 @@ class FlareChain(Chain):
         Args:
             llm: Language model to use.
             max_generation_len: Maximum length of the generated response.
-            **kwargs: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
 
         Returns:
             FlareChain class with the given language model.

libs/langchain/langchain/chains/query_constructor/base.py

@@ -217,7 +217,7 @@ def get_query_constructor_prompt(
         enable_limit: Whether to enable the limit operator. Defaults to False.
         schema_prompt: Prompt for describing query schema. Should have string input
             variables allowed_comparators and allowed_operators.
-        **kwargs: Additional named params to pass to FewShotPromptTemplate init.
+        kwargs: Additional named params to pass to FewShotPromptTemplate init.
 
     Returns:
         A prompt template that can be used to construct queries.
@@ -339,7 +339,7 @@ def load_query_constructor_runnable(
             variables allowed_comparators and allowed_operators.
         fix_invalid: Whether to fix invalid filter directives by ignoring invalid
             operators, comparators and attributes.
-        **kwargs: Additional named params to pass to FewShotPromptTemplate init.
+        kwargs: Additional named params to pass to FewShotPromptTemplate init.
 
     Returns:
         A Runnable that can be used to construct queries.

libs/langchain/langchain/chains/structured_output/base.py

@@ -224,7 +224,7 @@ def create_structured_output_runnable(
             structured outputs or a single one. If True and model does not return any 
             structured outputs then chain output is None. If False and model does not 
             return any structured outputs then chain output is an empty list.
-        **kwargs: Additional named arguments.
+        kwargs: Additional named arguments.
 
     Returns:
         A runnable sequence that will return a structured output(s) matching the given 

libs/langchain/langchain/evaluation/parsing/json_schema.py

@@ -36,7 +36,7 @@ class JsonSchemaEvaluator(StringEvaluator):
         """Initializes the JsonSchemaEvaluator.
 
         Args:
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Raises:
             ImportError: If the jsonschema package is not installed.

libs/langchain/langchain/evaluation/schema.py

@@ -158,7 +158,7 @@ class StringEvaluator(_EvalArgsMixin, ABC):
             prediction (str): The LLM or chain prediction to evaluate.
             reference (Optional[str], optional): The reference label to evaluate against.
             input (Optional[str], optional): The input to consider during evaluation.
-            **kwargs: Additional keyword arguments, including callbacks, tags, etc.
+            kwargs: Additional keyword arguments, including callbacks, tags, etc.
         Returns:
             dict: The evaluation results containing the score or value.
                 It is recommended that the dictionary contain the following keys:
@@ -181,7 +181,7 @@ class StringEvaluator(_EvalArgsMixin, ABC):
             prediction (str): The LLM or chain prediction to evaluate.
             reference (Optional[str], optional): The reference label to evaluate against.
             input (Optional[str], optional): The input to consider during evaluation.
-            **kwargs: Additional keyword arguments, including callbacks, tags, etc.
+            kwargs: Additional keyword arguments, including callbacks, tags, etc.
         Returns:
             dict: The evaluation results containing the score or value.
                 It is recommended that the dictionary contain the following keys:
@@ -212,7 +212,7 @@ class StringEvaluator(_EvalArgsMixin, ABC):
             prediction (str): The LLM or chain prediction to evaluate.
             reference (Optional[str], optional): The reference label to evaluate against.
             input (Optional[str], optional): The input to consider during evaluation.
-            **kwargs: Additional keyword arguments, including callbacks, tags, etc.
+            kwargs: Additional keyword arguments, including callbacks, tags, etc.
         Returns:
             dict: The evaluation results containing the score or value.
         """  # noqa: E501
@@ -235,7 +235,7 @@ class StringEvaluator(_EvalArgsMixin, ABC):
             prediction (str): The LLM or chain prediction to evaluate.
             reference (Optional[str], optional): The reference label to evaluate against.
             input (Optional[str], optional): The input to consider during evaluation.
-            **kwargs: Additional keyword arguments, including callbacks, tags, etc.
+            kwargs: Additional keyword arguments, including callbacks, tags, etc.
         Returns:
             dict: The evaluation results containing the score or value.
         """  # noqa: E501
@@ -265,7 +265,7 @@ class PairwiseStringEvaluator(_EvalArgsMixin, ABC):
             prediction_b (str): The output string from the second model.
             reference (Optional[str], optional): The expected output / reference string.
             input (Optional[str], optional): The input string.
-            **kwargs: Additional keyword arguments, such as callbacks and optional reference strings.
+            kwargs: Additional keyword arguments, such as callbacks and optional reference strings.
         Returns:
             dict: A dictionary containing the preference, scores, and/or other information.
         """  # noqa: E501
@@ -286,7 +286,7 @@ class PairwiseStringEvaluator(_EvalArgsMixin, ABC):
             prediction_b (str): The output string from the second model.
             reference (Optional[str], optional): The expected output / reference string.
             input (Optional[str], optional): The input string.
-            **kwargs: Additional keyword arguments, such as callbacks and optional reference strings.
+            kwargs: Additional keyword arguments, such as callbacks and optional reference strings.
         Returns:
             dict: A dictionary containing the preference, scores, and/or other information.
         """  # noqa: E501
@@ -316,7 +316,7 @@ class PairwiseStringEvaluator(_EvalArgsMixin, ABC):
             prediction_b (str): The output string from the second model.
             reference (Optional[str], optional): The expected output / reference string.
             input (Optional[str], optional): The input string.
-            **kwargs: Additional keyword arguments, such as callbacks and optional reference strings.
+            kwargs: Additional keyword arguments, such as callbacks and optional reference strings.
         Returns:
             dict: A dictionary containing the preference, scores, and/or other information.
         """  # noqa: E501
@@ -345,7 +345,7 @@ class PairwiseStringEvaluator(_EvalArgsMixin, ABC):
             prediction_b (str): The output string from the second model.
             reference (Optional[str], optional): The expected output / reference string.
             input (Optional[str], optional): The input string.
-            **kwargs: Additional keyword arguments, such as callbacks and optional reference strings.
+            kwargs: Additional keyword arguments, such as callbacks and optional reference strings.
         Returns:
             dict: A dictionary containing the preference, scores, and/or other information.
         """  # noqa: E501

libs/langchain/langchain/evaluation/string_distance/base.py

@@ -278,7 +278,7 @@ class StringDistanceEvalChain(StringEvaluator, _RapidFuzzChainMixin):
             reference (Optional[str], optional): The reference string.
             input (Optional[str], optional): The input string.
             callbacks (Callbacks, optional): The callbacks to use.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             dict: The evaluation results containing the score.
@@ -314,7 +314,7 @@ class StringDistanceEvalChain(StringEvaluator, _RapidFuzzChainMixin):
             reference (Optional[str], optional): The reference string.
             input (Optional[str], optional): The input string.
             callbacks (Callbacks, optional): The callbacks to use.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             dict: The evaluation results containing the score.
@@ -412,7 +412,7 @@ class PairwiseStringDistanceEvalChain(PairwiseStringEvaluator, _RapidFuzzChainMi
             callbacks (Callbacks, optional): The callbacks to use.
             tags (List[str], optional): Tags to apply to traces.
             metadata (Dict[str, Any], optional): Metadata to apply to traces.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             dict: The evaluation results containing the score.
@@ -446,7 +446,7 @@ class PairwiseStringDistanceEvalChain(PairwiseStringEvaluator, _RapidFuzzChainMi
             callbacks (Callbacks, optional): The callbacks to use.
             tags (List[str], optional): Tags to apply to traces.
             metadata (Dict[str, Any], optional): Metadata to apply to traces.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             dict: The evaluation results containing the score.

libs/langchain/langchain/retrievers/document_compressors/chain_filter.py

@@ -104,7 +104,7 @@ class LLMChainFilter(BaseDocumentCompressor):
         Args:
             llm: The language model to use for filtering.
             prompt: The prompt to use for the filter.
-            **kwargs: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
 
         Returns:
             A LLMChainFilter that uses the given language model.

libs/langchain/langchain/retrievers/document_compressors/listwise_rerank.py

@@ -105,7 +105,7 @@ class LLMListwiseRerank(BaseDocumentCompressor):
             llm: The language model to use for filtering. **Must implement
                 BaseLanguageModel.with_structured_output().**
             prompt: The prompt to use for the filter.
-            **kwargs: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
 
         Returns:
             A LLMListwiseRerank document compressor that uses the given language model.

libs/partners/chroma/langchain_chroma/vectorstores.py

@@ -250,7 +250,7 @@ class Chroma(VectorStore):
                     e.g. {"color" : "red", "price": 4.20}.
             where_document: dict used to filter by the documents.
                     E.g. {$contains: {"text": "hello"}}.
-            **kwargs: Additional keyword arguments to pass to Chroma collection query.
+            kwargs: Additional keyword arguments to pass to Chroma collection query.
 
         Returns:
             List of `n_results` nearest neighbor embeddings for provided
@@ -286,7 +286,7 @@ class Chroma(VectorStore):
             metadatas: Optional list of metadatas.
                     When querying, you can filter on this metadata.
             ids: Optional list of IDs.
-            **kwargs: Additional keyword arguments to pass.
+            kwargs: Additional keyword arguments to pass.
 
         Returns:
             List of IDs of the added images.
@@ -374,7 +374,7 @@ class Chroma(VectorStore):
             metadatas: Optional list of metadatas.
                     When querying, you can filter on this metadata.
             ids: Optional list of IDs.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
 
         Returns:
             List of IDs of the added texts.
@@ -456,7 +456,7 @@ class Chroma(VectorStore):
             query: Query text to search for.
             k: Number of results to return. Defaults to 4.
             filter: Filter by metadata. Defaults to None.
-            **kwargs: Additional keyword arguments to pass to Chroma collection query.
+            kwargs: Additional keyword arguments to pass to Chroma collection query.
 
         Returns:
             List of documents most similar to the query text.
@@ -482,7 +482,7 @@ class Chroma(VectorStore):
             filter: Filter by metadata. Defaults to None.
             where_document: dict used to filter by the documents.
                     E.g. {$contains: {"text": "hello"}}.
-            **kwargs: Additional keyword arguments to pass to Chroma collection query.
+            kwargs: Additional keyword arguments to pass to Chroma collection query.
 
         Returns:
             List of Documents most similar to the query vector.
@@ -512,7 +512,7 @@ class Chroma(VectorStore):
             filter: Filter by metadata. Defaults to None.
             where_document: dict used to filter by the documents.
                     E.g. {$contains: {"text": "hello"}}.
-            **kwargs: Additional keyword arguments to pass to Chroma collection query.
+            kwargs: Additional keyword arguments to pass to Chroma collection query.
 
         Returns:
             List of documents most similar to the query text and relevance score
@@ -543,7 +543,7 @@ class Chroma(VectorStore):
             filter: Filter by metadata. Defaults to None.
             where_document: dict used to filter by the documents.
                     E.g. {$contains: {"text": "hello"}}.
-            **kwargs: Additional keyword arguments to pass to Chroma collection query.
+            kwargs: Additional keyword arguments to pass to Chroma collection query.
 
         Returns:
             List of documents most similar to the query text and
@@ -722,7 +722,7 @@ class Chroma(VectorStore):
             filter: Filter by metadata. Defaults to None.
             where_document: dict used to filter by the documents.
                     E.g. {$contains: {"text": "hello"}}.
-            **kwargs: Additional keyword arguments to pass to Chroma collection query.
+            kwargs: Additional keyword arguments to pass to Chroma collection query.
 
         Returns:
             List of Documents selected by maximal marginal relevance.
@@ -773,7 +773,7 @@ class Chroma(VectorStore):
             filter: Filter by metadata. Defaults to None.
             where_document: dict used to filter by the documents.
                     E.g. {$contains: {"text": "hello"}}.
-            **kwargs: Additional keyword arguments to pass to Chroma collection query.
+            kwargs: Additional keyword arguments to pass to Chroma collection query.
 
         Returns:
             List of Documents selected by maximal marginal relevance.
@@ -935,7 +935,7 @@ class Chroma(VectorStore):
                     https://docs.trychroma.com/reference/js-client#class:-chromaclient
             collection_metadata: Collection configurations.
                                                   Defaults to None.
-            **kwargs: Additional keyword arguments to initialize a Chroma client.
+            kwargs: Additional keyword arguments to initialize a Chroma client.
 
         Returns:
             Chroma: Chroma vectorstore.
@@ -1000,7 +1000,7 @@ class Chroma(VectorStore):
                     https://docs.trychroma.com/reference/js-client#class:-chromaclient
             collection_metadata: Collection configurations.
                                                   Defaults to None.
-            **kwargs: Additional keyword arguments to initialize a Chroma client.
+            kwargs: Additional keyword arguments to initialize a Chroma client.
 
         Returns:
             Chroma: Chroma vectorstore.
@@ -1025,6 +1025,6 @@ class Chroma(VectorStore):
 
         Args:
             ids: List of ids to delete.
-            **kwargs: Additional keyword arguments.
+            kwargs: Additional keyword arguments.
         """
         self._collection.delete(ids=ids)

libs/partners/qdrant/langchain_qdrant/fastembed_sparse.py

@@ -34,7 +34,7 @@ class FastEmbedSparse(SparseEmbeddings):
                                       If `None`, don't use data-parallel processing,\
                                       use default onnxruntime threading instead.\
                                       Defaults to None.
-            **kwargs: Additional options to pass to fastembed.SparseTextEmbedding
+            kwargs: Additional options to pass to fastembed.SparseTextEmbedding
         Raises:
             ValueError: If the model_name is not supported in SparseTextEmbedding.
         """

libs/partners/together/langchain_together/llms.py

@@ -135,7 +135,7 @@ class Together(LLM):
             prompt: The prompt to pass into the model.
             stop: Optional list of stop words to use when generating.
             run_manager: The CallbackManager for LLM run, it's not used at the moment.
-            **kwargs: Additional parameters to pass to the model.
+            kwargs: Additional parameters to pass to the model.
 
         Returns:
             The string generated by the model..
@@ -185,7 +185,7 @@ class Together(LLM):
             prompt: The prompt to pass into the model.
             stop: Optional list of stop words to use when generating.
             run_manager: The CallbackManager for LLM run, it's not used at the moment.
-            **kwargs: Additional parameters to pass to the model.
+            kwargs: Additional parameters to pass to the model.
 
         Returns:
             The string generated by the model.