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/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.