community: docstrings toolkits (#23616)

Added missed docstrings. Formatted docstrings to the consistent form.

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

@@ -38,7 +38,17 @@ class AINetworkToolkit(BaseToolkit):
 
     @root_validator(pre=True)
     def set_interface(cls, values: dict) -> dict:
-        """Set the interface if not provided."""
+        """Set the interface if not provided.
+
+        If the interface is not provided, attempt to authenticate with the
+        network using the network value provided.
+
+        Args:
+            values: The values to validate.
+
+        Returns:
+            The validated values.
+        """
         if not values.get("interface"):
             values["interface"] = authenticate(network=values.get("network", "testnet"))
         return values

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

@@ -27,10 +27,13 @@ class ConneryToolkit(BaseToolkit):
         """
         Validate the attributes of the ConneryToolkit class.
 
-        Parameters:
+        Args:
             values (dict): The arguments to validate.
         Returns:
             dict: The validated arguments.
+
+        Raises:
+            ValueError: If the 'tools' attribute is not set
         """
 
         if not values.get("tools"):
@@ -45,7 +48,7 @@ class ConneryToolkit(BaseToolkit):
 
         Parameters:
             connery_service (ConneryService): The Connery Service
-                to to get the list of Connery Actions.
+                to get the list of Connery Actions.
         Returns:
             ConneryToolkit: The Connery Toolkit.
         """

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

@@ -41,6 +41,15 @@ class GitLabToolkit(BaseToolkit):
     def from_gitlab_api_wrapper(
         cls, gitlab_api_wrapper: GitLabAPIWrapper
     ) -> "GitLabToolkit":
+        """Create a GitLabToolkit from a GitLabAPIWrapper.
+
+        Args:
+            gitlab_api_wrapper: GitLabAPIWrapper. The GitLab API wrapper.
+
+        Returns:
+            GitLabToolkit. The GitLab toolkit.
+        """
+
         operations: List[Dict] = [
             {
                 "mode": "get_issues",

libs/community/langchain_community/agent_toolkits/load_tools.py

@@ -587,13 +587,17 @@ def load_huggingface_tool(
 
     Args:
         task_or_repo_id: Task or model repo id.
-        model_repo_id: Optional model repo id.
+        model_repo_id: Optional model repo id. Defaults to None.
-        token: Optional token.
+        token: Optional token. Defaults to None.
         remote: Optional remote. Defaults to False.
-        **kwargs:
+        **kwargs: Additional keyword arguments.
 
     Returns:
         A tool.
+
+    Raises:
+        ImportError: If the required libraries are not installed.
+        NotImplementedError: If multimodal outputs or inputs are not supported.
     """
     try:
         from transformers import load_tool
@@ -649,7 +653,8 @@ def load_tools(
 
     Args:
         tool_names: name of tools to load.
-        llm: An optional language model, may be needed to initialize certain tools.
+        llm: An optional language model may be needed to initialize certain tools.
+            Defaults to None.
         callbacks: Optional callback manager or list of callback handlers.
             If not provided, default global callback manager will be used.
         allow_dangerous_tools: Optional flag to allow dangerous tools.
@@ -661,9 +666,17 @@ def load_tools(
             Please note that this list may not be fully exhaustive.
             It is your responsibility to understand which tools
             you're using and the risks associated with them.
+            Defaults to False.
+        **kwargs: Additional keyword arguments.
 
     Returns:
         List of tools.
+
+    Raises:
+        ValueError: If the tool name is unknown.
+        ValueError: If the tool requires an LLM to be provided.
+        ValueError: If the tool requires some parameters that were not provided.
+        ValueError: If the tool is a dangerous tool and allow_dangerous_tools is False.
     """
     tools = []
     callbacks = _handle_callbacks(

libs/community/langchain_community/agents/openai_assistant/base.py

@@ -288,6 +288,9 @@ class OpenAIAssistantV2Runnable(OpenAIAssistantRunnable):
                 Union[List[OpenAIAssistantAction], OpenAIAssistantFinish]. Otherwise,
                 will return OpenAI types
                 Union[List[ThreadMessage], List[RequiredActionFunctionToolCall]].
+
+        Raises:
+            BaseException: If an error occurs during the invocation.
         """
 
         config = ensure_config(config)