diff --git a/libs/community/langchain_community/adapters/openai.py b/libs/community/langchain_community/adapters/openai.py
index e6ff136f7a..4f902a6e18 100644
--- a/libs/community/langchain_community/adapters/openai.py
+++ b/libs/community/langchain_community/adapters/openai.py
@@ -95,18 +95,18 @@ def convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
     elif role == "system":
         return SystemMessage(content=_dict.get("content", ""))
     elif role == "function":
-        return FunctionMessage(content=_dict.get("content", ""), name=_dict.get("name"))
+        return FunctionMessage(content=_dict.get("content", ""), name=_dict.get("name"))  # type: ignore[arg-type]
     elif role == "tool":
         additional_kwargs = {}
         if "name" in _dict:
             additional_kwargs["name"] = _dict["name"]
         return ToolMessage(
             content=_dict.get("content", ""),
-            tool_call_id=_dict.get("tool_call_id"),
+            tool_call_id=_dict.get("tool_call_id"),  # type: ignore[arg-type]
             additional_kwargs=additional_kwargs,
         )
     else:
-        return ChatMessage(content=_dict.get("content", ""), role=role)
+        return ChatMessage(content=_dict.get("content", ""), role=role)  # type: ignore[arg-type]
 
 
 def convert_message_to_dict(message: BaseMessage) -> dict:
diff --git a/libs/community/langchain_community/agent_toolkits/azure_ai_services.py b/libs/community/langchain_community/agent_toolkits/azure_ai_services.py
index a83bd73a03..282a3aa9bc 100644
--- a/libs/community/langchain_community/agent_toolkits/azure_ai_services.py
+++ b/libs/community/langchain_community/agent_toolkits/azure_ai_services.py
@@ -21,11 +21,11 @@ class AzureAiServicesToolkit(BaseToolkit):
         """Get the tools in the toolkit."""
 
         tools: List[BaseTool] = [
-            AzureAiServicesDocumentIntelligenceTool(),
-            AzureAiServicesImageAnalysisTool(),
-            AzureAiServicesSpeechToTextTool(),
-            AzureAiServicesTextToSpeechTool(),
-            AzureAiServicesTextAnalyticsForHealthTool(),
+            AzureAiServicesDocumentIntelligenceTool(),  # type: ignore[call-arg]
+            AzureAiServicesImageAnalysisTool(),  # type: ignore[call-arg]
+            AzureAiServicesSpeechToTextTool(),  # type: ignore[call-arg]
+            AzureAiServicesTextToSpeechTool(),  # type: ignore[call-arg]
+            AzureAiServicesTextAnalyticsForHealthTool(),  # type: ignore[call-arg]
         ]
 
         return tools
diff --git a/libs/community/langchain_community/agent_toolkits/azure_cognitive_services.py b/libs/community/langchain_community/agent_toolkits/azure_cognitive_services.py
index 741648a138..d365486d39 100644
--- a/libs/community/langchain_community/agent_toolkits/azure_cognitive_services.py
+++ b/libs/community/langchain_community/agent_toolkits/azure_cognitive_services.py
@@ -21,13 +21,13 @@ class AzureCognitiveServicesToolkit(BaseToolkit):
         """Get the tools in the toolkit."""
 
         tools: List[BaseTool] = [
-            AzureCogsFormRecognizerTool(),
-            AzureCogsSpeech2TextTool(),
-            AzureCogsText2SpeechTool(),
-            AzureCogsTextAnalyticsHealthTool(),
+            AzureCogsFormRecognizerTool(),  # type: ignore[call-arg]
+            AzureCogsSpeech2TextTool(),  # type: ignore[call-arg]
+            AzureCogsText2SpeechTool(),  # type: ignore[call-arg]
+            AzureCogsTextAnalyticsHealthTool(),  # type: ignore[call-arg]
         ]
 
         # TODO: Remove check once azure-ai-vision supports MacOS.
         if sys.platform.startswith("linux") or sys.platform.startswith("win"):
-            tools.append(AzureCogsImageAnalysisTool())
+            tools.append(AzureCogsImageAnalysisTool())  # type: ignore[call-arg]
         return tools
diff --git a/libs/community/langchain_community/agent_toolkits/clickup/toolkit.py b/libs/community/langchain_community/agent_toolkits/clickup/toolkit.py
index c8d45e2711..9e0188da93 100644
--- a/libs/community/langchain_community/agent_toolkits/clickup/toolkit.py
+++ b/libs/community/langchain_community/agent_toolkits/clickup/toolkit.py
@@ -102,7 +102,7 @@ class ClickupToolkit(BaseToolkit):
             )
             for action in operations
         ]
-        return cls(tools=tools)
+        return cls(tools=tools)  # type: ignore[arg-type]
 
     def get_tools(self) -> List[BaseTool]:
         """Get the tools in the toolkit."""
diff --git a/libs/community/langchain_community/agent_toolkits/connery/toolkit.py b/libs/community/langchain_community/agent_toolkits/connery/toolkit.py
index c3fad66932..b48b16ac93 100644
--- a/libs/community/langchain_community/agent_toolkits/connery/toolkit.py
+++ b/libs/community/langchain_community/agent_toolkits/connery/toolkit.py
@@ -45,6 +45,6 @@ class ConneryToolkit(BaseToolkit):
             ConneryToolkit: The Connery Toolkit.
         """
 
-        instance = cls(tools=connery_service.list_actions())
+        instance = cls(tools=connery_service.list_actions())  # type: ignore[arg-type]
 
         return instance
diff --git a/libs/community/langchain_community/agent_toolkits/file_management/toolkit.py b/libs/community/langchain_community/agent_toolkits/file_management/toolkit.py
index 8e9122aa9a..28384c0090 100644
--- a/libs/community/langchain_community/agent_toolkits/file_management/toolkit.py
+++ b/libs/community/langchain_community/agent_toolkits/file_management/toolkit.py
@@ -73,7 +73,7 @@ class FileManagementToolkit(BaseToolkit):
         tools: List[BaseTool] = []
         for tool in allowed_tools:
             tool_cls = _FILE_TOOLS_MAP[tool]
-            tools.append(tool_cls(root_dir=self.root_dir))
+            tools.append(tool_cls(root_dir=self.root_dir))  # type: ignore[call-arg]
         return tools
 
 
diff --git a/libs/community/langchain_community/agent_toolkits/github/toolkit.py b/libs/community/langchain_community/agent_toolkits/github/toolkit.py
index f0675cc2f5..81ee2a7eec 100644
--- a/libs/community/langchain_community/agent_toolkits/github/toolkit.py
+++ b/libs/community/langchain_community/agent_toolkits/github/toolkit.py
@@ -308,7 +308,7 @@ class GitHubToolkit(BaseToolkit):
             )
             for action in operations
         ]
-        return cls(tools=tools)
+        return cls(tools=tools)  # type: ignore[arg-type]
 
     def get_tools(self) -> List[BaseTool]:
         """Get the tools in the toolkit."""
diff --git a/libs/community/langchain_community/agent_toolkits/gitlab/toolkit.py b/libs/community/langchain_community/agent_toolkits/gitlab/toolkit.py
index 6d02d6db75..739ea5f70d 100644
--- a/libs/community/langchain_community/agent_toolkits/gitlab/toolkit.py
+++ b/libs/community/langchain_community/agent_toolkits/gitlab/toolkit.py
@@ -88,7 +88,7 @@ class GitLabToolkit(BaseToolkit):
             )
             for action in operations
         ]
-        return cls(tools=tools)
+        return cls(tools=tools)  # type: ignore[arg-type]
 
     def get_tools(self) -> List[BaseTool]:
         """Get the tools in the toolkit."""
diff --git a/libs/community/langchain_community/agent_toolkits/jira/toolkit.py b/libs/community/langchain_community/agent_toolkits/jira/toolkit.py
index ddc7f50f6e..1ef1acfa68 100644
--- a/libs/community/langchain_community/agent_toolkits/jira/toolkit.py
+++ b/libs/community/langchain_community/agent_toolkits/jira/toolkit.py
@@ -64,7 +64,7 @@ class JiraToolkit(BaseToolkit):
             )
             for action in operations
         ]
-        return cls(tools=tools)
+        return cls(tools=tools)  # type: ignore[arg-type]
 
     def get_tools(self) -> List[BaseTool]:
         """Get the tools in the toolkit."""
diff --git a/libs/community/langchain_community/agent_toolkits/nasa/toolkit.py b/libs/community/langchain_community/agent_toolkits/nasa/toolkit.py
index 2704f7af4c..5a18a22e32 100644
--- a/libs/community/langchain_community/agent_toolkits/nasa/toolkit.py
+++ b/libs/community/langchain_community/agent_toolkits/nasa/toolkit.py
@@ -51,7 +51,7 @@ class NasaToolkit(BaseToolkit):
             )
             for action in operations
         ]
-        return cls(tools=tools)
+        return cls(tools=tools)  # type: ignore[arg-type]
 
     def get_tools(self) -> List[BaseTool]:
         """Get the tools in the toolkit."""
diff --git a/libs/community/langchain_community/agent_toolkits/openapi/planner.py b/libs/community/langchain_community/agent_toolkits/openapi/planner.py
index 281c8a49be..cd4a83ff92 100644
--- a/libs/community/langchain_community/agent_toolkits/openapi/planner.py
+++ b/libs/community/langchain_community/agent_toolkits/openapi/planner.py
@@ -262,12 +262,12 @@ def _create_api_controller_agent(
     get_llm_chain = LLMChain(llm=llm, prompt=PARSING_GET_PROMPT)
     post_llm_chain = LLMChain(llm=llm, prompt=PARSING_POST_PROMPT)
     tools: List[BaseTool] = [
-        RequestsGetToolWithParsing(
+        RequestsGetToolWithParsing(  # type: ignore[call-arg]
             requests_wrapper=requests_wrapper,
             llm_chain=get_llm_chain,
             allow_dangerous_requests=allow_dangerous_requests,
         ),
-        RequestsPostToolWithParsing(
+        RequestsPostToolWithParsing(  # type: ignore[call-arg]
             requests_wrapper=requests_wrapper,
             llm_chain=post_llm_chain,
             allow_dangerous_requests=allow_dangerous_requests,
diff --git a/libs/community/langchain_community/agent_toolkits/powerbi/toolkit.py b/libs/community/langchain_community/agent_toolkits/powerbi/toolkit.py
index cf1d8397fd..07f680714d 100644
--- a/libs/community/langchain_community/agent_toolkits/powerbi/toolkit.py
+++ b/libs/community/langchain_community/agent_toolkits/powerbi/toolkit.py
@@ -66,7 +66,7 @@ class PowerBIToolkit(BaseToolkit):
                 powerbi=self.powerbi,
                 examples=self.examples,
                 max_iterations=self.max_iterations,
-                output_token_limit=self.output_token_limit,
+                output_token_limit=self.output_token_limit,  # type: ignore[arg-type]
                 tiktoken_model_name=self.tiktoken_model_name,
             ),
             InfoPowerBITool(powerbi=self.powerbi),
diff --git a/libs/community/langchain_community/agent_toolkits/sql/base.py b/libs/community/langchain_community/agent_toolkits/sql/base.py
index 75f3cb97b4..e9871e076f 100644
--- a/libs/community/langchain_community/agent_toolkits/sql/base.py
+++ b/libs/community/langchain_community/agent_toolkits/sql/base.py
@@ -136,7 +136,7 @@ def create_sql_agent(
             "Must provide exactly one of 'toolkit' or 'db'. Received both."
         )
 
-    toolkit = toolkit or SQLDatabaseToolkit(llm=llm, db=db)
+    toolkit = toolkit or SQLDatabaseToolkit(llm=llm, db=db)  # type: ignore[arg-type]
     agent_type = agent_type or AgentType.ZERO_SHOT_REACT_DESCRIPTION
     tools = toolkit.get_tools() + list(extra_tools)
     if prompt is None:
diff --git a/libs/community/langchain_community/agent_toolkits/steam/toolkit.py b/libs/community/langchain_community/agent_toolkits/steam/toolkit.py
index 6033997ff5..f6c89b5aed 100644
--- a/libs/community/langchain_community/agent_toolkits/steam/toolkit.py
+++ b/libs/community/langchain_community/agent_toolkits/steam/toolkit.py
@@ -42,7 +42,7 @@ class SteamToolkit(BaseToolkit):
             )
             for action in operations
         ]
-        return cls(tools=tools)
+        return cls(tools=tools)  # type: ignore[arg-type]
 
     def get_tools(self) -> List[BaseTool]:
         """Get the tools in the toolkit."""
diff --git a/libs/community/langchain_community/agent_toolkits/zapier/toolkit.py b/libs/community/langchain_community/agent_toolkits/zapier/toolkit.py
index 3314eb3457..207133e459 100644
--- a/libs/community/langchain_community/agent_toolkits/zapier/toolkit.py
+++ b/libs/community/langchain_community/agent_toolkits/zapier/toolkit.py
@@ -29,7 +29,7 @@ class ZapierToolkit(BaseToolkit):
             )
             for action in actions
         ]
-        return cls(tools=tools)
+        return cls(tools=tools)  # type: ignore[arg-type]
 
     @classmethod
     async def async_from_zapier_nla_wrapper(
@@ -46,7 +46,7 @@ class ZapierToolkit(BaseToolkit):
             )
             for action in actions
         ]
-        return cls(tools=tools)
+        return cls(tools=tools)  # type: ignore[arg-type]
 
     def get_tools(self) -> List[BaseTool]:
         """Get the tools in the toolkit."""
diff --git a/libs/community/langchain_community/cache.py b/libs/community/langchain_community/cache.py
index 094dc3377c..eaf8b2be81 100644
--- a/libs/community/langchain_community/cache.py
+++ b/libs/community/langchain_community/cache.py
@@ -420,7 +420,7 @@ class _RedisCacheBase(BaseCache, ABC):
                     )
                     # In a previous life we stored the raw text directly
                     # in the table, so assume it's in that format.
-                    generations.append(Generation(text=text))
+                    generations.append(Generation(text=text))  # type: ignore[arg-type]
         return generations if generations else None
 
     @staticmethod
diff --git a/libs/community/langchain_community/chains/ernie_functions/base.py b/libs/community/langchain_community/chains/ernie_functions/base.py
index 3749d66776..80b10ec051 100644
--- a/libs/community/langchain_community/chains/ernie_functions/base.py
+++ b/libs/community/langchain_community/chains/ernie_functions/base.py
@@ -376,7 +376,7 @@ def create_ernie_fn_chain(
     output_key: str = "function",
     output_parser: Optional[BaseLLMOutputParser] = None,
     **kwargs: Any,
-) -> LLMChain:
+) -> LLMChain:  # type: ignore[valid-type]
     """[Legacy] Create an LLM chain that uses Ernie functions.
 
     Args:
@@ -453,7 +453,7 @@ def create_ernie_fn_chain(
     }
     if len(ernie_functions) == 1:
         llm_kwargs["function_call"] = {"name": ernie_functions[0]["name"]}
-    llm_chain = LLMChain(
+    llm_chain = LLMChain(  # type: ignore[misc]
         llm=llm,
         prompt=prompt,
         output_parser=output_parser,
@@ -472,7 +472,7 @@ def create_structured_output_chain(
     output_key: str = "function",
     output_parser: Optional[BaseLLMOutputParser] = None,
     **kwargs: Any,
-) -> LLMChain:
+) -> LLMChain:  # type: ignore[valid-type]
     """[Legacy] Create an LLMChain that uses an Ernie function to get a structured output.
 
     Args:
diff --git a/libs/community/langchain_community/chat_loaders/imessage.py b/libs/community/langchain_community/chat_loaders/imessage.py
index 8e924bcef5..b8d4e610d6 100644
--- a/libs/community/langchain_community/chat_loaders/imessage.py
+++ b/libs/community/langchain_community/chat_loaders/imessage.py
@@ -148,7 +148,7 @@ class IMessageChatLoader(BaseChatLoader):
                 continue
 
             results.append(
-                HumanMessage(
+                HumanMessage(  # type: ignore[call-arg]
                     role=sender,
                     content=content,
                     additional_kwargs={
diff --git a/libs/community/langchain_community/chat_loaders/slack.py b/libs/community/langchain_community/chat_loaders/slack.py
index b31a0f521a..fcce989aa9 100644
--- a/libs/community/langchain_community/chat_loaders/slack.py
+++ b/libs/community/langchain_community/chat_loaders/slack.py
@@ -51,7 +51,7 @@ class SlackChatLoader(BaseChatLoader):
                 )
             else:
                 results.append(
-                    HumanMessage(
+                    HumanMessage(  # type: ignore[call-arg]
                         role=sender,
                         content=text,
                         additional_kwargs={
diff --git a/libs/community/langchain_community/chat_loaders/utils.py b/libs/community/langchain_community/chat_loaders/utils.py
index 3fe9384e3d..151bc9d776 100644
--- a/libs/community/langchain_community/chat_loaders/utils.py
+++ b/libs/community/langchain_community/chat_loaders/utils.py
@@ -77,7 +77,7 @@ def map_ai_messages_in_session(chat_sessions: ChatSession, sender: str) -> ChatS
             message = AIMessage(
                 content=message.content,
                 additional_kwargs=message.additional_kwargs.copy(),
-                example=getattr(message, "example", None),
+                example=getattr(message, "example", None),  # type: ignore[arg-type]
             )
             num_converted += 1
         messages.append(message)
diff --git a/libs/community/langchain_community/chat_loaders/whatsapp.py b/libs/community/langchain_community/chat_loaders/whatsapp.py
index 9378744b96..1b3173459e 100644
--- a/libs/community/langchain_community/chat_loaders/whatsapp.py
+++ b/libs/community/langchain_community/chat_loaders/whatsapp.py
@@ -73,7 +73,7 @@ class WhatsAppChatLoader(BaseChatLoader):
                 timestamp, sender, text = result.groups()
                 if not self._ignore_lines.match(text.strip()):
                     results.append(
-                        HumanMessage(
+                        HumanMessage(  # type: ignore[call-arg]
                             role=sender,
                             content=text,
                             additional_kwargs={
diff --git a/libs/community/langchain_community/chat_models/azureml_endpoint.py b/libs/community/langchain_community/chat_models/azureml_endpoint.py
index 91947f97ff..5f2a3f59c3 100644
--- a/libs/community/langchain_community/chat_models/azureml_endpoint.py
+++ b/libs/community/langchain_community/chat_models/azureml_endpoint.py
@@ -419,4 +419,4 @@ def _convert_delta_to_message_chunk(
     elif role or default_class == ChatMessageChunk:
         return ChatMessageChunk(content=content, role=role)
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
diff --git a/libs/community/langchain_community/chat_models/baichuan.py b/libs/community/langchain_community/chat_models/baichuan.py
index d6207f7faf..41e8de826c 100644
--- a/libs/community/langchain_community/chat_models/baichuan.py
+++ b/libs/community/langchain_community/chat_models/baichuan.py
@@ -66,9 +66,9 @@ def _convert_delta_to_message_chunk(
     elif role == "assistant" or default_class == AIMessageChunk:
         return AIMessageChunk(content=content)
     elif role or default_class == ChatMessageChunk:
-        return ChatMessageChunk(content=content, role=role)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
 
 
 class ChatBaichuan(BaseChatModel):
diff --git a/libs/community/langchain_community/chat_models/baidu_qianfan_endpoint.py b/libs/community/langchain_community/chat_models/baidu_qianfan_endpoint.py
index f25f44c933..95b5fc1639 100644
--- a/libs/community/langchain_community/chat_models/baidu_qianfan_endpoint.py
+++ b/libs/community/langchain_community/chat_models/baidu_qianfan_endpoint.py
@@ -383,7 +383,7 @@ class QianfanChatEndpoint(BaseChatModel):
                 additional_kwargs = msg.additional_kwargs.get("function_call", {})
                 chunk = ChatGenerationChunk(
                     text=res["result"],
-                    message=AIMessageChunk(
+                    message=AIMessageChunk(  # type: ignore[call-arg]
                         content=msg.content,
                         role="assistant",
                         additional_kwargs=additional_kwargs,
@@ -410,7 +410,7 @@ class QianfanChatEndpoint(BaseChatModel):
                 additional_kwargs = msg.additional_kwargs.get("function_call", {})
                 chunk = ChatGenerationChunk(
                     text=res["result"],
-                    message=AIMessageChunk(
+                    message=AIMessageChunk(  # type: ignore[call-arg]
                         content=msg.content,
                         role="assistant",
                         additional_kwargs=additional_kwargs,
@@ -552,7 +552,8 @@ class QianfanChatEndpoint(BaseChatModel):
         llm = self.bind_tools([schema])
         if is_pydantic_schema:
             output_parser: OutputParserLike = PydanticToolsParser(
-                tools=[schema], first_tool_only=True
+                tools=[schema],  # type: ignore[list-item]
+                first_tool_only=True,  # type: ignore[list-item]
             )
         else:
             key_name = convert_to_openai_tool(schema)["function"]["name"]
diff --git a/libs/community/langchain_community/chat_models/coze.py b/libs/community/langchain_community/chat_models/coze.py
index c7ea63f032..733719be13 100644
--- a/libs/community/langchain_community/chat_models/coze.py
+++ b/libs/community/langchain_community/chat_models/coze.py
@@ -69,7 +69,7 @@ def _convert_delta_to_message_chunk(_dict: Mapping[str, Any]) -> BaseMessageChun
     elif role == "assistant":
         return AIMessageChunk(content=content)
     else:
-        return ChatMessageChunk(content=content, role=role)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
 
 
 class ChatCoze(BaseChatModel):
diff --git a/libs/community/langchain_community/chat_models/deepinfra.py b/libs/community/langchain_community/chat_models/deepinfra.py
index 0886e52086..51df3b634b 100644
--- a/libs/community/langchain_community/chat_models/deepinfra.py
+++ b/libs/community/langchain_community/chat_models/deepinfra.py
@@ -118,9 +118,9 @@ def _convert_delta_to_message_chunk(
     elif role == "function" or default_class == FunctionMessageChunk:
         return FunctionMessageChunk(content=content, name=_dict["name"])
     elif role or default_class == ChatMessageChunk:
-        return ChatMessageChunk(content=content, role=role)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
 
 
 def _convert_message_to_dict(message: BaseMessage) -> dict:
diff --git a/libs/community/langchain_community/chat_models/fireworks.py b/libs/community/langchain_community/chat_models/fireworks.py
index 106ea7e921..2e434f1ae6 100644
--- a/libs/community/langchain_community/chat_models/fireworks.py
+++ b/libs/community/langchain_community/chat_models/fireworks.py
@@ -58,7 +58,7 @@ def _convert_delta_to_message_chunk(
     elif role or default_class == ChatMessageChunk:
         return ChatMessageChunk(content=content, role=role)
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
 
 
 def convert_dict_to_message(_dict: Any) -> BaseMessage:
diff --git a/libs/community/langchain_community/chat_models/gigachat.py b/libs/community/langchain_community/chat_models/gigachat.py
index 76e22bb248..1e20fa84df 100644
--- a/libs/community/langchain_community/chat_models/gigachat.py
+++ b/libs/community/langchain_community/chat_models/gigachat.py
@@ -108,9 +108,9 @@ def _convert_delta_to_message_chunk(
     elif role == "function" or default_class == FunctionMessageChunk:
         return FunctionMessageChunk(content=content, name=_dict["name"])
     elif role or default_class == ChatMessageChunk:
-        return ChatMessageChunk(content=content, role=role)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
 
 
 class GigaChat(_BaseGigaChat, BaseChatModel):
diff --git a/libs/community/langchain_community/chat_models/hunyuan.py b/libs/community/langchain_community/chat_models/hunyuan.py
index 7eef887a5f..e83a48c6f7 100644
--- a/libs/community/langchain_community/chat_models/hunyuan.py
+++ b/libs/community/langchain_community/chat_models/hunyuan.py
@@ -72,9 +72,9 @@ def _convert_delta_to_message_chunk(
     elif role == "assistant" or default_class == AIMessageChunk:
         return AIMessageChunk(content=content)
     elif role or default_class == ChatMessageChunk:
-        return ChatMessageChunk(content=content, role=role)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
 
 
 # signature generation
diff --git a/libs/community/langchain_community/chat_models/jinachat.py b/libs/community/langchain_community/chat_models/jinachat.py
index 83f2e24959..75a373d515 100644
--- a/libs/community/langchain_community/chat_models/jinachat.py
+++ b/libs/community/langchain_community/chat_models/jinachat.py
@@ -103,9 +103,9 @@ def _convert_delta_to_message_chunk(
     elif role == "system" or default_class == SystemMessageChunk:
         return SystemMessageChunk(content=content)
     elif role or default_class == ChatMessageChunk:
-        return ChatMessageChunk(content=content, role=role)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
 
 
 def _convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
diff --git a/libs/community/langchain_community/chat_models/litellm.py b/libs/community/langchain_community/chat_models/litellm.py
index 2f98033780..6d338f60db 100644
--- a/libs/community/langchain_community/chat_models/litellm.py
+++ b/libs/community/langchain_community/chat_models/litellm.py
@@ -131,9 +131,9 @@ def _convert_delta_to_message_chunk(
     elif role == "function" or default_class == FunctionMessageChunk:
         return FunctionMessageChunk(content=content, name=_dict["name"])
     elif role or default_class == ChatMessageChunk:
-        return ChatMessageChunk(content=content, role=role)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
 
 
 def _convert_message_to_dict(message: BaseMessage) -> dict:
diff --git a/libs/community/langchain_community/chat_models/llama_edge.py b/libs/community/langchain_community/chat_models/llama_edge.py
index 064fe5f97b..ae603af7de 100644
--- a/libs/community/langchain_community/chat_models/llama_edge.py
+++ b/libs/community/langchain_community/chat_models/llama_edge.py
@@ -64,9 +64,9 @@ def _convert_delta_to_message_chunk(
     elif role == "assistant" or default_class == AIMessageChunk:
         return AIMessageChunk(content=content)
     elif role or default_class == ChatMessageChunk:
-        return ChatMessageChunk(content=content, role=role)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
 
 
 class LlamaEdgeChatService(BaseChatModel):
diff --git a/libs/community/langchain_community/chat_models/minimax.py b/libs/community/langchain_community/chat_models/minimax.py
index a315aa1f53..2b8419b9d1 100644
--- a/libs/community/langchain_community/chat_models/minimax.py
+++ b/libs/community/langchain_community/chat_models/minimax.py
@@ -82,7 +82,7 @@ class MiniMaxChat(MinimaxCommon, BaseChatModel):
 
         # This is required since the stop are not enforced by the model parameters
         text = text if stop is None else enforce_stop_tokens(text, stop)
-        return ChatResult(generations=[ChatGeneration(message=AIMessage(text))])
+        return ChatResult(generations=[ChatGeneration(message=AIMessage(text))])  # type: ignore[misc]
 
     async def _agenerate(
         self,
diff --git a/libs/community/langchain_community/chat_models/openai.py b/libs/community/langchain_community/chat_models/openai.py
index 694d2e0661..515570c3af 100644
--- a/libs/community/langchain_community/chat_models/openai.py
+++ b/libs/community/langchain_community/chat_models/openai.py
@@ -139,9 +139,9 @@ def _convert_delta_to_message_chunk(
     elif role == "tool" or default_class == ToolMessageChunk:
         return ToolMessageChunk(content=content, tool_call_id=_dict["tool_call_id"])
     elif role or default_class == ChatMessageChunk:
-        return ChatMessageChunk(content=content, role=role)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
 
 
 @deprecated(
diff --git a/libs/community/langchain_community/chat_models/perplexity.py b/libs/community/langchain_community/chat_models/perplexity.py
index 6c05c1a019..6538f7f3e0 100644
--- a/libs/community/langchain_community/chat_models/perplexity.py
+++ b/libs/community/langchain_community/chat_models/perplexity.py
@@ -198,9 +198,9 @@ class ChatPerplexity(BaseChatModel):
         elif role == "tool" or default_class == ToolMessageChunk:
             return ToolMessageChunk(content=content, tool_call_id=_dict["tool_call_id"])
         elif role or default_class == ChatMessageChunk:
-            return ChatMessageChunk(content=content, role=role)
+            return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
         else:
-            return default_class(content=content)
+            return default_class(content=content)  # type: ignore[call-arg]
 
     def _stream(
         self,
diff --git a/libs/community/langchain_community/chat_models/premai.py b/libs/community/langchain_community/chat_models/premai.py
index 5991506cd6..964a13fd99 100644
--- a/libs/community/langchain_community/chat_models/premai.py
+++ b/libs/community/langchain_community/chat_models/premai.py
@@ -136,7 +136,7 @@ def _convert_delta_response_to_message_chunk(
     elif role or default_class == ChatMessageChunk:
         return ChatMessageChunk(content=content, role=role), finish_reasons
     else:
-        return default_class(content=content), finish_reasons
+        return default_class(content=content), finish_reasons  # type: ignore[call-arg]
 
 
 def _messages_to_prompt_dict(
diff --git a/libs/community/langchain_community/chat_models/solar.py b/libs/community/langchain_community/chat_models/solar.py
index 312e4a992b..417880757b 100644
--- a/libs/community/langchain_community/chat_models/solar.py
+++ b/libs/community/langchain_community/chat_models/solar.py
@@ -10,7 +10,7 @@ from langchain_community.chat_models import ChatOpenAI
 from langchain_community.llms.solar import SOLAR_SERVICE_URL_BASE, SolarCommon
 
 
-@deprecated(
+@deprecated(  # type: ignore[arg-type]
     since="0.0.34", removal="0.3.0", alternative_import="langchain_upstage.ChatUpstage"
 )
 class SolarChat(SolarCommon, ChatOpenAI):
diff --git a/libs/community/langchain_community/chat_models/sparkllm.py b/libs/community/langchain_community/chat_models/sparkllm.py
index f173519746..e9efafd0c8 100644
--- a/libs/community/langchain_community/chat_models/sparkllm.py
+++ b/libs/community/langchain_community/chat_models/sparkllm.py
@@ -85,7 +85,7 @@ def _convert_delta_to_message_chunk(
     elif msg_role or default_class == ChatMessageChunk:
         return ChatMessageChunk(content=msg_content, role=msg_role)
     else:
-        return default_class(content=msg_content)
+        return default_class(content=msg_content)  # type: ignore[call-arg]
 
 
 class ChatSparkLLM(BaseChatModel):
@@ -382,10 +382,10 @@ class _SparkLLMClient:
             on_close=self.on_close,
             on_open=self.on_open,
         )
-        ws.messages = messages
-        ws.user_id = user_id
-        ws.model_kwargs = self.model_kwargs if model_kwargs is None else model_kwargs
-        ws.streaming = streaming
+        ws.messages = messages  # type: ignore[attr-defined]
+        ws.user_id = user_id  # type: ignore[attr-defined]
+        ws.model_kwargs = self.model_kwargs if model_kwargs is None else model_kwargs  # type: ignore[attr-defined]
+        ws.streaming = streaming  # type: ignore[attr-defined]
         ws.run_forever()
 
     def arun(
diff --git a/libs/community/langchain_community/chat_models/tongyi.py b/libs/community/langchain_community/chat_models/tongyi.py
index 943cace973..7c50cb064c 100644
--- a/libs/community/langchain_community/chat_models/tongyi.py
+++ b/libs/community/langchain_community/chat_models/tongyi.py
@@ -94,7 +94,7 @@ def convert_dict_to_message(
             else AIMessage(
                 content=content,
                 additional_kwargs=additional_kwargs,
-                tool_calls=tool_calls,
+                tool_calls=tool_calls,  # type: ignore[arg-type]
                 invalid_tool_calls=invalid_tool_calls,
             )
         )
diff --git a/libs/community/langchain_community/chat_models/yuan2.py b/libs/community/langchain_community/chat_models/yuan2.py
index 9cb6942fd2..5c030f870b 100644
--- a/libs/community/langchain_community/chat_models/yuan2.py
+++ b/libs/community/langchain_community/chat_models/yuan2.py
@@ -437,9 +437,9 @@ def _convert_delta_to_message_chunk(
     elif role == "system" or default_class == SystemMessageChunk:
         return SystemMessageChunk(content=content)
     elif role or default_class == ChatMessageChunk:
-        return ChatMessageChunk(content=content, role=role)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
     else:
-        return default_class(content=content)
+        return default_class(content=content)  # type: ignore[call-arg]
 
 
 def _convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
@@ -451,7 +451,7 @@ def _convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
     elif role == "system":
         return SystemMessage(content=_dict.get("content", ""))
     else:
-        return ChatMessage(content=_dict.get("content", ""), role=role)
+        return ChatMessage(content=_dict.get("content", ""), role=role)  # type: ignore[arg-type]
 
 
 def _convert_message_to_dict(message: BaseMessage) -> dict:
diff --git a/libs/community/langchain_community/chat_models/zhipuai.py b/libs/community/langchain_community/chat_models/zhipuai.py
index 5d9dd0eb88..797bd1cb54 100644
--- a/libs/community/langchain_community/chat_models/zhipuai.py
+++ b/libs/community/langchain_community/chat_models/zhipuai.py
@@ -101,7 +101,7 @@ def _convert_dict_to_message(dct: Dict[str, Any]) -> BaseMessage:
         if tool_calls is not None:
             additional_kwargs["tool_calls"] = tool_calls
         return AIMessage(content=content, additional_kwargs=additional_kwargs)
-    return ChatMessage(role=role, content=content)
+    return ChatMessage(role=role, content=content)  # type: ignore[arg-type]
 
 
 def _convert_message_to_dict(message: BaseMessage) -> Dict[str, Any]:
@@ -144,8 +144,8 @@ def _convert_delta_to_message_chunk(
     if role == "assistant" or default_class == AIMessageChunk:
         return AIMessageChunk(content=content, additional_kwargs=additional_kwargs)
     if role or default_class == ChatMessageChunk:
-        return ChatMessageChunk(content=content, role=role)
-    return default_class(content=content)
+        return ChatMessageChunk(content=content, role=role)  # type: ignore[arg-type]
+    return default_class(content=content)  # type: ignore[call-arg]
 
 
 def _truncate_params(payload: Dict[str, Any]) -> None:
diff --git a/libs/community/langchain_community/document_loaders/base_o365.py b/libs/community/langchain_community/document_loaders/base_o365.py
index 90dba6d29e..ddf95bdc76 100644
--- a/libs/community/langchain_community/document_loaders/base_o365.py
+++ b/libs/community/langchain_community/document_loaders/base_o365.py
@@ -70,7 +70,7 @@ def fetch_mime_types(file_types: Sequence[_FileType]) -> Dict[str, str]:
 class O365BaseLoader(BaseLoader, BaseModel):
     """Base class for all loaders that uses O365 Package"""
 
-    settings: _O365Settings = Field(default_factory=_O365Settings)
+    settings: _O365Settings = Field(default_factory=_O365Settings)  # type: ignore[arg-type]
     """Settings for the Office365 API client."""
     auth_with_token: bool = False
     """Whether to authenticate with a token or not. Defaults to False."""
diff --git a/libs/community/langchain_community/document_loaders/kinetica_loader.py b/libs/community/langchain_community/document_loaders/kinetica_loader.py
index d5cb1296e0..a6a15db4de 100644
--- a/libs/community/langchain_community/document_loaders/kinetica_loader.py
+++ b/libs/community/langchain_community/document_loaders/kinetica_loader.py
@@ -86,7 +86,7 @@ class KineticaLoader(BaseLoader):
         query_result = self._execute_query()
         if isinstance(query_result, Exception):
             print(f"An error occurred during the query: {query_result}")  # noqa: T201
-            return []
+            return []  # type: ignore[return-value]
         page_content_columns, metadata_columns = self._get_columns(query_result)
         if "*" in page_content_columns:
             page_content_columns = list(query_result[0].keys())
diff --git a/libs/community/langchain_community/document_loaders/mhtml.py b/libs/community/langchain_community/document_loaders/mhtml.py
index 95edc76d32..809f46c031 100644
--- a/libs/community/langchain_community/document_loaders/mhtml.py
+++ b/libs/community/langchain_community/document_loaders/mhtml.py
@@ -58,8 +58,8 @@ class MHTMLLoader(BaseLoader):
                 parts = [message]
 
             for part in parts:
-                if part.get_content_type() == "text/html":
-                    html = part.get_payload(decode=True).decode()
+                if part.get_content_type() == "text/html":  # type: ignore[union-attr]
+                    html = part.get_payload(decode=True).decode()  # type: ignore[union-attr]
 
                     soup = BeautifulSoup(html, **self.bs_kwargs)
                     text = soup.get_text(self.get_text_separator)
diff --git a/libs/community/langchain_community/document_loaders/onenote.py b/libs/community/langchain_community/document_loaders/onenote.py
index 87c5d78daf..0ecc1e1da7 100644
--- a/libs/community/langchain_community/document_loaders/onenote.py
+++ b/libs/community/langchain_community/document_loaders/onenote.py
@@ -31,7 +31,7 @@ class _OneNoteGraphSettings(BaseSettings):
 class OneNoteLoader(BaseLoader, BaseModel):
     """Load pages from OneNote notebooks."""
 
-    settings: _OneNoteGraphSettings = Field(default_factory=_OneNoteGraphSettings)
+    settings: _OneNoteGraphSettings = Field(default_factory=_OneNoteGraphSettings)  # type: ignore[arg-type]
     """Settings for the Microsoft Graph API client."""
     auth_with_token: bool = False
     """Whether to authenticate with a token or not. Defaults to False."""
diff --git a/libs/community/langchain_community/document_loaders/pdf.py b/libs/community/langchain_community/document_loaders/pdf.py
index bbddd8a79b..17063eed0d 100644
--- a/libs/community/langchain_community/document_loaders/pdf.py
+++ b/libs/community/langchain_community/document_loaders/pdf.py
@@ -691,7 +691,7 @@ class AmazonTextractPDFLoader(BasePDFLoader):
         # raises ValueError when multi-page and not on S3"""
 
         if self.web_path and self._is_s3_url(self.web_path):
-            blob = Blob(path=self.web_path)  # type: ignore[misc]
+            blob = Blob(path=self.web_path)  # type: ignore[call-arg] # type: ignore[misc]
         else:
             blob = Blob.from_path(self.file_path)  # type: ignore[attr-defined]
             if AmazonTextractPDFLoader._get_number_of_pages(blob) > 1:
diff --git a/libs/community/langchain_community/document_loaders/pubmed.py b/libs/community/langchain_community/document_loaders/pubmed.py
index 892d93affe..78d89977b5 100644
--- a/libs/community/langchain_community/document_loaders/pubmed.py
+++ b/libs/community/langchain_community/document_loaders/pubmed.py
@@ -28,8 +28,8 @@ class PubMedLoader(BaseLoader):
         """
         self.query = query
         self.load_max_docs = load_max_docs
-        self._client = PubMedAPIWrapper(
-            top_k_results=load_max_docs,
+        self._client = PubMedAPIWrapper(  # type: ignore[call-arg]
+            top_k_results=load_max_docs,  # type: ignore[arg-type]
         )
 
     def lazy_load(self) -> Iterator[Document]:
diff --git a/libs/community/langchain_community/document_loaders/snowflake_loader.py b/libs/community/langchain_community/document_loaders/snowflake_loader.py
index 3081a7b716..8a07287580 100644
--- a/libs/community/langchain_community/document_loaders/snowflake_loader.py
+++ b/libs/community/langchain_community/document_loaders/snowflake_loader.py
@@ -111,7 +111,7 @@ class SnowflakeLoader(BaseLoader):
         query_result = self._execute_query()
         if isinstance(query_result, Exception):
             print(f"An error occurred during the query: {query_result}")  # noqa: T201
-            return []
+            return []  # type: ignore[return-value]
         page_content_columns, metadata_columns = self._get_columns(query_result)
         if "*" in page_content_columns:
             page_content_columns = list(query_result[0].keys())
diff --git a/libs/community/langchain_community/document_loaders/tensorflow_datasets.py b/libs/community/langchain_community/document_loaders/tensorflow_datasets.py
index 07f6510fad..7beb292139 100644
--- a/libs/community/langchain_community/document_loaders/tensorflow_datasets.py
+++ b/libs/community/langchain_community/document_loaders/tensorflow_datasets.py
@@ -66,10 +66,10 @@ class TensorflowDatasetLoader(BaseLoader):
         ] = sample_to_document_function
         """Custom function that transform a dataset sample into a Document."""
 
-        self._tfds_client = TensorflowDatasets(
+        self._tfds_client = TensorflowDatasets(  # type: ignore[call-arg]
             dataset_name=self.dataset_name,
             split_name=self.split_name,
-            load_max_docs=self.load_max_docs,
+            load_max_docs=self.load_max_docs,  # type: ignore[arg-type]
             sample_to_document_function=self.sample_to_document_function,
         )
 
diff --git a/libs/community/langchain_community/document_loaders/weather.py b/libs/community/langchain_community/document_loaders/weather.py
index 51b1f27cd3..c058e68983 100644
--- a/libs/community/langchain_community/document_loaders/weather.py
+++ b/libs/community/langchain_community/document_loaders/weather.py
@@ -32,7 +32,7 @@ class WeatherDataLoader(BaseLoader):
     def from_params(
         cls, places: Sequence[str], *, openweathermap_api_key: Optional[str] = None
     ) -> WeatherDataLoader:
-        client = OpenWeatherMapAPIWrapper(openweathermap_api_key=openweathermap_api_key)
+        client = OpenWeatherMapAPIWrapper(openweathermap_api_key=openweathermap_api_key)  # type: ignore[call-arg]
         return cls(client, places)
 
     def lazy_load(
diff --git a/libs/community/langchain_community/document_loaders/wikipedia.py b/libs/community/langchain_community/document_loaders/wikipedia.py
index 2b67c51b25..582a109489 100644
--- a/libs/community/langchain_community/document_loaders/wikipedia.py
+++ b/libs/community/langchain_community/document_loaders/wikipedia.py
@@ -50,10 +50,10 @@ class WikipediaLoader(BaseLoader):
             A list of Document objects representing the loaded
                 Wikipedia pages.
         """
-        client = WikipediaAPIWrapper(
+        client = WikipediaAPIWrapper(  # type: ignore[call-arg]
             lang=self.lang,
-            top_k_results=self.load_max_docs,
-            load_all_available_meta=self.load_all_available_meta,
-            doc_content_chars_max=self.doc_content_chars_max,
+            top_k_results=self.load_max_docs,  # type: ignore[arg-type]
+            load_all_available_meta=self.load_all_available_meta,  # type: ignore[arg-type]
+            doc_content_chars_max=self.doc_content_chars_max,  # type: ignore[arg-type]
         )
         yield from client.load(self.query)
diff --git a/libs/community/langchain_community/indexes/_sql_record_manager.py b/libs/community/langchain_community/indexes/_sql_record_manager.py
index f70a1dc4f4..22e56885ae 100644
--- a/libs/community/langchain_community/indexes/_sql_record_manager.py
+++ b/libs/community/langchain_community/indexes/_sql_record_manager.py
@@ -312,7 +312,7 @@ class SQLRecordManager(RecordManager):
 
                 # Note: uses SQLite insert to make on_conflict_do_update work.
                 # This code needs to be generalized a bit to work with more dialects.
-                insert_stmt = pg_insert(UpsertionRecord).values(records_to_upsert)
+                insert_stmt = pg_insert(UpsertionRecord).values(records_to_upsert)  # type: ignore[assignment]
                 stmt = insert_stmt.on_conflict_do_update(  # type: ignore[attr-defined]
                     "uix_key_namespace",  # Name of constraint
                     set_=dict(
@@ -387,7 +387,7 @@ class SQLRecordManager(RecordManager):
 
                 # Note: uses SQLite insert to make on_conflict_do_update work.
                 # This code needs to be generalized a bit to work with more dialects.
-                insert_stmt = pg_insert(UpsertionRecord).values(records_to_upsert)
+                insert_stmt = pg_insert(UpsertionRecord).values(records_to_upsert)  # type: ignore[assignment]
                 stmt = insert_stmt.on_conflict_do_update(  # type: ignore[attr-defined]
                     "uix_key_namespace",  # Name of constraint
                     set_=dict(
@@ -470,7 +470,7 @@ class SQLRecordManager(RecordManager):
             if limit:
                 query = query.limit(limit)  # type: ignore[attr-defined]
             records = query.all()  # type: ignore[attr-defined]
-        return [r.key for r in records]
+        return [r.key for r in records]  # type: ignore[misc]
 
     async def alist_keys(
         self,
diff --git a/libs/community/langchain_community/llms/aleph_alpha.py b/libs/community/langchain_community/llms/aleph_alpha.py
index 48ea552c66..d2e56ac35d 100644
--- a/libs/community/langchain_community/llms/aleph_alpha.py
+++ b/libs/community/langchain_community/llms/aleph_alpha.py
@@ -282,6 +282,6 @@ class AlephAlpha(LLM):
 
 
 if __name__ == "__main__":
-    aa = AlephAlpha()
+    aa = AlephAlpha()  # type: ignore[call-arg]
 
     print(aa.invoke("How are you?"))  # noqa: T201
diff --git a/libs/community/langchain_community/llms/databricks.py b/libs/community/langchain_community/llms/databricks.py
index 06da23183e..8da2f1db83 100644
--- a/libs/community/langchain_community/llms/databricks.py
+++ b/libs/community/langchain_community/llms/databricks.py
@@ -490,7 +490,7 @@ class Databricks(LLM):
                 task=self.task,
             )
         elif self.cluster_id and self.cluster_driver_port:
-            self._client = _DatabricksClusterDriverProxyClient(
+            self._client = _DatabricksClusterDriverProxyClient(  # type: ignore[call-arg]
                 host=self.host,
                 api_token=self.api_token,
                 cluster_id=self.cluster_id,
diff --git a/libs/community/langchain_community/llms/minimax.py b/libs/community/langchain_community/llms/minimax.py
index ea38c36fb4..316eb67652 100644
--- a/libs/community/langchain_community/llms/minimax.py
+++ b/libs/community/langchain_community/llms/minimax.py
@@ -87,7 +87,7 @@ class MinimaxCommon(BaseModel):
             "MINIMAX_API_HOST",
             default="https://api.minimax.chat",
         )
-        values["_client"] = _MinimaxEndpointClient(
+        values["_client"] = _MinimaxEndpointClient(  # type: ignore[call-arg]
             host=values["minimax_api_host"],
             api_key=values["minimax_api_key"],
             group_id=values["minimax_group_id"],
diff --git a/libs/community/langchain_community/llms/ollama.py b/libs/community/langchain_community/llms/ollama.py
index f08fab8218..4a81871efb 100644
--- a/libs/community/langchain_community/llms/ollama.py
+++ b/libs/community/langchain_community/llms/ollama.py
@@ -423,7 +423,7 @@ class Ollama(BaseLLM, _OllamaCommon):
                 **kwargs,
             )
             generations.append([final_chunk])
-        return LLMResult(generations=generations)
+        return LLMResult(generations=generations)  # type: ignore[arg-type]
 
     async def _agenerate(  # type: ignore[override]
         self,
@@ -459,7 +459,7 @@ class Ollama(BaseLLM, _OllamaCommon):
                 **kwargs,
             )
             generations.append([final_chunk])
-        return LLMResult(generations=generations)
+        return LLMResult(generations=generations)  # type: ignore[arg-type]
 
     def _stream(
         self,
diff --git a/libs/community/langchain_community/llms/openllm.py b/libs/community/langchain_community/llms/openllm.py
index 746e12b64e..612c4d4e56 100644
--- a/libs/community/langchain_community/llms/openllm.py
+++ b/libs/community/langchain_community/llms/openllm.py
@@ -155,7 +155,7 @@ class OpenLLM(LLM):
             client = client_cls(server_url, timeout)
 
             super().__init__(
-                **{
+                **{  # type: ignore[arg-type]
                     "server_url": server_url,
                     "timeout": timeout,
                     "server_type": server_type,
@@ -180,7 +180,7 @@ class OpenLLM(LLM):
                 **llm_kwargs,
             )
             super().__init__(
-                **{
+                **{  # type: ignore[arg-type]
                     "model_name": model_name,
                     "model_id": model_id,
                     "embedded": embedded,
diff --git a/libs/community/langchain_community/llms/sparkllm.py b/libs/community/langchain_community/llms/sparkllm.py
index 467952f35c..c74abf21fd 100644
--- a/libs/community/langchain_community/llms/sparkllm.py
+++ b/libs/community/langchain_community/llms/sparkllm.py
@@ -274,10 +274,10 @@ class _SparkLLMClient:
             on_close=self.on_close,
             on_open=self.on_open,
         )
-        ws.messages = messages
-        ws.user_id = user_id
-        ws.model_kwargs = self.model_kwargs if model_kwargs is None else model_kwargs
-        ws.streaming = streaming
+        ws.messages = messages  # type: ignore[attr-defined]
+        ws.user_id = user_id  # type: ignore[attr-defined]
+        ws.model_kwargs = self.model_kwargs if model_kwargs is None else model_kwargs  # type: ignore[attr-defined]
+        ws.streaming = streaming  # type: ignore[attr-defined]
         ws.run_forever()
 
     def arun(
diff --git a/libs/community/langchain_community/llms/textgen.py b/libs/community/langchain_community/llms/textgen.py
index 9a752f844a..aa3a490fa2 100644
--- a/libs/community/langchain_community/llms/textgen.py
+++ b/libs/community/langchain_community/llms/textgen.py
@@ -330,13 +330,13 @@ class TextGen(LLM):
             result = websocket_client.recv()
             result = json.loads(result)
 
-            if result["event"] == "text_stream":
+            if result["event"] == "text_stream":  # type: ignore[call-overload, index]
                 chunk = GenerationChunk(
-                    text=result["text"],
+                    text=result["text"],  # type: ignore[call-overload, index]
                     generation_info=None,
                 )
                 yield chunk
-            elif result["event"] == "stream_end":
+            elif result["event"] == "stream_end":  # type: ignore[call-overload, index]
                 websocket_client.close()
                 return
 
@@ -403,13 +403,13 @@ class TextGen(LLM):
             result = websocket_client.recv()
             result = json.loads(result)
 
-            if result["event"] == "text_stream":
+            if result["event"] == "text_stream":  # type: ignore[call-overload, index]
                 chunk = GenerationChunk(
-                    text=result["text"],
+                    text=result["text"],  # type: ignore[call-overload, index]
                     generation_info=None,
                 )
                 yield chunk
-            elif result["event"] == "stream_end":
+            elif result["event"] == "stream_end":  # type: ignore[call-overload, index]
                 websocket_client.close()
                 return
 
diff --git a/libs/community/langchain_community/llms/titan_takeoff.py b/libs/community/langchain_community/llms/titan_takeoff.py
index 6df0d0a37e..5ff1f20a56 100644
--- a/libs/community/langchain_community/llms/titan_takeoff.py
+++ b/libs/community/langchain_community/llms/titan_takeoff.py
@@ -137,7 +137,7 @@ class TitanTakeoff(LLM):
             ImportError: If you haven't installed takeoff-client, you will
             get an ImportError. To remedy run `pip install 'takeoff-client==0.4.0'`
         """
-        super().__init__(
+        super().__init__(  # type: ignore[call-arg]
             base_url=base_url, port=port, mgmt_port=mgmt_port, streaming=streaming
         )
         try:
diff --git a/libs/community/langchain_community/llms/vertexai.py b/libs/community/langchain_community/llms/vertexai.py
index 31fd77600f..0b027a195e 100644
--- a/libs/community/langchain_community/llms/vertexai.py
+++ b/libs/community/langchain_community/llms/vertexai.py
@@ -363,7 +363,7 @@ class VertexAI(_VertexAICommon, BaseLLM):
             generations.append(
                 [self._response_to_generation(r) for r in res.candidates]
             )
-        return LLMResult(generations=generations)
+        return LLMResult(generations=generations)  # type: ignore[arg-type]
 
     def _stream(
         self,
diff --git a/libs/community/langchain_community/llms/xinference.py b/libs/community/langchain_community/llms/xinference.py
index 4828132e6a..3e38fb5fd0 100644
--- a/libs/community/langchain_community/llms/xinference.py
+++ b/libs/community/langchain_community/llms/xinference.py
@@ -100,7 +100,7 @@ class Xinference(LLM):
         model_kwargs = model_kwargs or {}
 
         super().__init__(
-            **{
+            **{  # type: ignore[arg-type]
                 "server_url": server_url,
                 "model_uid": model_uid,
                 "model_kwargs": model_kwargs,
diff --git a/libs/community/langchain_community/retrievers/breebs.py b/libs/community/langchain_community/retrievers/breebs.py
index ed42fc8fd4..b9238db5b1 100644
--- a/libs/community/langchain_community/retrievers/breebs.py
+++ b/libs/community/langchain_community/retrievers/breebs.py
@@ -21,7 +21,7 @@ class BreebsRetriever(BaseRetriever):
     url = "https://breebs.promptbreeders.com/knowledge"
 
     def __init__(self, breeb_key: str):
-        super().__init__(breeb_key=breeb_key)
+        super().__init__(breeb_key=breeb_key)  # type: ignore[call-arg]
         self.breeb_key = breeb_key
 
     def _get_relevant_documents(
diff --git a/libs/community/langchain_community/retrievers/dria_index.py b/libs/community/langchain_community/retrievers/dria_index.py
index 5da93a804e..8f3e287d8e 100644
--- a/libs/community/langchain_community/retrievers/dria_index.py
+++ b/libs/community/langchain_community/retrievers/dria_index.py
@@ -23,7 +23,7 @@ class DriaRetriever(BaseRetriever):
             contract_id: The contract ID of the knowledge base to interact with.
         """
         api_wrapper = DriaAPIWrapper(api_key=api_key, contract_id=contract_id)
-        super().__init__(api_wrapper=api_wrapper, **kwargs)
+        super().__init__(api_wrapper=api_wrapper, **kwargs)  # type: ignore[call-arg]
 
     def create_knowledge_base(
         self,
diff --git a/libs/community/langchain_community/retrievers/thirdai_neuraldb.py b/libs/community/langchain_community/retrievers/thirdai_neuraldb.py
index 83592a550b..e4a25aea4a 100644
--- a/libs/community/langchain_community/retrievers/thirdai_neuraldb.py
+++ b/libs/community/langchain_community/retrievers/thirdai_neuraldb.py
@@ -73,7 +73,7 @@ class NeuralDBRetriever(BaseRetriever):
         NeuralDBRetriever._verify_thirdai_library(thirdai_key)
         from thirdai import neural_db as ndb
 
-        return cls(thirdai_key=thirdai_key, db=ndb.NeuralDB(**model_kwargs))
+        return cls(thirdai_key=thirdai_key, db=ndb.NeuralDB(**model_kwargs))  # type: ignore[arg-type]
 
     @classmethod
     def from_checkpoint(
@@ -108,7 +108,7 @@ class NeuralDBRetriever(BaseRetriever):
         NeuralDBRetriever._verify_thirdai_library(thirdai_key)
         from thirdai import neural_db as ndb
 
-        return cls(thirdai_key=thirdai_key, db=ndb.NeuralDB.from_checkpoint(checkpoint))
+        return cls(thirdai_key=thirdai_key, db=ndb.NeuralDB.from_checkpoint(checkpoint))  # type: ignore[arg-type]
 
     @root_validator()
     def validate_environments(cls, values: Dict) -> Dict:
diff --git a/libs/community/langchain_community/tools/arxiv/tool.py b/libs/community/langchain_community/tools/arxiv/tool.py
index 423b3f5cfc..5c8ca77f1b 100644
--- a/libs/community/langchain_community/tools/arxiv/tool.py
+++ b/libs/community/langchain_community/tools/arxiv/tool.py
@@ -27,7 +27,7 @@ class ArxivQueryRun(BaseTool):
         "from scientific articles on arxiv.org. "
         "Input should be a search query."
     )
-    api_wrapper: ArxivAPIWrapper = Field(default_factory=ArxivAPIWrapper)
+    api_wrapper: ArxivAPIWrapper = Field(default_factory=ArxivAPIWrapper)  # type: ignore[arg-type]
     args_schema: Type[BaseModel] = ArxivInput
 
     def _run(
diff --git a/libs/community/langchain_community/tools/audio/huggingface_text_to_speech_inference.py b/libs/community/langchain_community/tools/audio/huggingface_text_to_speech_inference.py
index c728f8ad22..9c16b08d1b 100644
--- a/libs/community/langchain_community/tools/audio/huggingface_text_to_speech_inference.py
+++ b/libs/community/langchain_community/tools/audio/huggingface_text_to_speech_inference.py
@@ -72,7 +72,7 @@ class HuggingFaceTextToSpeechModelInference(BaseTool):
                 f"Invalid value for 'file_naming_func': {file_naming_func}"
             )
 
-        super().__init__(
+        super().__init__(  # type: ignore[call-arg]
             model=model,
             file_extension=file_extension,
             api_url=f"{self._HUGGINGFACE_API_URL_ROOT}/{model}",
diff --git a/libs/community/langchain_community/tools/github/tool.py b/libs/community/langchain_community/tools/github/tool.py
index 8925318363..ec9c3c6481 100644
--- a/libs/community/langchain_community/tools/github/tool.py
+++ b/libs/community/langchain_community/tools/github/tool.py
@@ -19,7 +19,7 @@ from langchain_community.utilities.github import GitHubAPIWrapper
 class GitHubAction(BaseTool):
     """Tool for interacting with the GitHub API."""
 
-    api_wrapper: GitHubAPIWrapper = Field(default_factory=GitHubAPIWrapper)
+    api_wrapper: GitHubAPIWrapper = Field(default_factory=GitHubAPIWrapper)  # type: ignore[arg-type]
     mode: str
     name: str = ""
     description: str = ""
diff --git a/libs/community/langchain_community/tools/gitlab/tool.py b/libs/community/langchain_community/tools/gitlab/tool.py
index 92ea8b98bf..2a2dd686b5 100644
--- a/libs/community/langchain_community/tools/gitlab/tool.py
+++ b/libs/community/langchain_community/tools/gitlab/tool.py
@@ -19,7 +19,7 @@ from langchain_community.utilities.gitlab import GitLabAPIWrapper
 class GitLabAction(BaseTool):
     """Tool for interacting with the GitLab API."""
 
-    api_wrapper: GitLabAPIWrapper = Field(default_factory=GitLabAPIWrapper)
+    api_wrapper: GitLabAPIWrapper = Field(default_factory=GitLabAPIWrapper)  # type: ignore[arg-type]
     mode: str
     name: str = ""
     description: str = ""
diff --git a/libs/community/langchain_community/tools/gmail/base.py b/libs/community/langchain_community/tools/gmail/base.py
index b96e16117f..12ea5a88a3 100644
--- a/libs/community/langchain_community/tools/gmail/base.py
+++ b/libs/community/langchain_community/tools/gmail/base.py
@@ -34,4 +34,4 @@ class GmailBaseTool(BaseTool):
         Returns:
             A tool.
         """
-        return cls(service=api_resource)
+        return cls(service=api_resource)  # type: ignore[call-arg]
diff --git a/libs/community/langchain_community/tools/gmail/get_message.py b/libs/community/langchain_community/tools/gmail/get_message.py
index 79b963453e..3be2db0853 100644
--- a/libs/community/langchain_community/tools/gmail/get_message.py
+++ b/libs/community/langchain_community/tools/gmail/get_message.py
@@ -53,10 +53,10 @@ class GmailGetMessage(GmailBaseTool):
                 ctype = part.get_content_type()
                 cdispo = str(part.get("Content-Disposition"))
                 if ctype == "text/plain" and "attachment" not in cdispo:
-                    message_body = part.get_payload(decode=True).decode("utf-8")
+                    message_body = part.get_payload(decode=True).decode("utf-8")  # type: ignore[union-attr]
                     break
         else:
-            message_body = email_msg.get_payload(decode=True).decode("utf-8")
+            message_body = email_msg.get_payload(decode=True).decode("utf-8")  # type: ignore[union-attr]
 
         body = clean_email_body(message_body)
 
diff --git a/libs/community/langchain_community/tools/gmail/search.py b/libs/community/langchain_community/tools/gmail/search.py
index 8c49db5e86..7cc93b6319 100644
--- a/libs/community/langchain_community/tools/gmail/search.py
+++ b/libs/community/langchain_community/tools/gmail/search.py
@@ -99,14 +99,14 @@ class GmailSearch(GmailBaseTool):
                     cdispo = str(part.get("Content-Disposition"))
                     if ctype == "text/plain" and "attachment" not in cdispo:
                         try:
-                            message_body = part.get_payload(decode=True).decode("utf-8")
+                            message_body = part.get_payload(decode=True).decode("utf-8")  # type: ignore[union-attr]
                         except UnicodeDecodeError:
-                            message_body = part.get_payload(decode=True).decode(
+                            message_body = part.get_payload(decode=True).decode(  # type: ignore[union-attr]
                                 "latin-1"
                             )
                         break
             else:
-                message_body = email_msg.get_payload(decode=True).decode("utf-8")
+                message_body = email_msg.get_payload(decode=True).decode("utf-8")  # type: ignore[union-attr]
 
             body = clean_email_body(message_body)
 
diff --git a/libs/community/langchain_community/tools/google_places/tool.py b/libs/community/langchain_community/tools/google_places/tool.py
index 729d11a4f9..5c7eb3dcf5 100644
--- a/libs/community/langchain_community/tools/google_places/tool.py
+++ b/libs/community/langchain_community/tools/google_places/tool.py
@@ -31,7 +31,7 @@ class GooglePlacesTool(BaseTool):
         "discover addressed from ambiguous text. "
         "Input should be a search query."
     )
-    api_wrapper: GooglePlacesAPIWrapper = Field(default_factory=GooglePlacesAPIWrapper)
+    api_wrapper: GooglePlacesAPIWrapper = Field(default_factory=GooglePlacesAPIWrapper)  # type: ignore[arg-type]
     args_schema: Type[BaseModel] = GooglePlacesSchema
 
     def _run(
diff --git a/libs/community/langchain_community/tools/jira/tool.py b/libs/community/langchain_community/tools/jira/tool.py
index dc57b13dc2..267c9944c5 100644
--- a/libs/community/langchain_community/tools/jira/tool.py
+++ b/libs/community/langchain_community/tools/jira/tool.py
@@ -30,7 +30,7 @@ from langchain_community.utilities.jira import JiraAPIWrapper
 class JiraAction(BaseTool):
     """Tool that queries the Atlassian Jira API."""
 
-    api_wrapper: JiraAPIWrapper = Field(default_factory=JiraAPIWrapper)
+    api_wrapper: JiraAPIWrapper = Field(default_factory=JiraAPIWrapper)  # type: ignore[arg-type]
     mode: str
     name: str = ""
     description: str = ""
diff --git a/libs/community/langchain_community/tools/nuclia/tool.py b/libs/community/langchain_community/tools/nuclia/tool.py
index 2f8bae73ff..dce32f5089 100644
--- a/libs/community/langchain_community/tools/nuclia/tool.py
+++ b/libs/community/langchain_community/tools/nuclia/tool.py
@@ -75,7 +75,7 @@ class NucliaUnderstandingAPI(BaseTool):
         else:
             self._config["NUA_KEY"] = key
         self._config["enable_ml"] = enable_ml
-        super().__init__()
+        super().__init__()  # type: ignore[call-arg]
 
     def _run(
         self,
diff --git a/libs/community/langchain_community/tools/openapi/utils/api_models.py b/libs/community/langchain_community/tools/openapi/utils/api_models.py
index 38ae4afca1..968f85dfa6 100644
--- a/libs/community/langchain_community/tools/openapi/utils/api_models.py
+++ b/libs/community/langchain_community/tools/openapi/utils/api_models.py
@@ -530,7 +530,7 @@ class APIOperation(BaseModel):
             description=description or "",
             base_url=spec.base_url,
             path=path,
-            method=method,
+            method=method,  # type: ignore[arg-type]
             properties=properties,
             request_body=api_request_body,
         )
diff --git a/libs/community/langchain_community/tools/openweathermap/tool.py b/libs/community/langchain_community/tools/openweathermap/tool.py
index 0cd5b94001..d716b8098d 100644
--- a/libs/community/langchain_community/tools/openweathermap/tool.py
+++ b/libs/community/langchain_community/tools/openweathermap/tool.py
@@ -13,7 +13,7 @@ class OpenWeatherMapQueryRun(BaseTool):
     """Tool that queries the OpenWeatherMap API."""
 
     api_wrapper: OpenWeatherMapAPIWrapper = Field(
-        default_factory=OpenWeatherMapAPIWrapper
+        default_factory=OpenWeatherMapAPIWrapper  # type: ignore[arg-type]
     )
 
     name: str = "open_weather_map"
diff --git a/libs/community/langchain_community/tools/playwright/base.py b/libs/community/langchain_community/tools/playwright/base.py
index 716e82907d..5fab5a2902 100644
--- a/libs/community/langchain_community/tools/playwright/base.py
+++ b/libs/community/langchain_community/tools/playwright/base.py
@@ -54,4 +54,4 @@ class BaseBrowserTool(BaseTool):
     ) -> BaseBrowserTool:
         """Instantiate the tool."""
         lazy_import_playwright_browsers()
-        return cls(sync_browser=sync_browser, async_browser=async_browser)
+        return cls(sync_browser=sync_browser, async_browser=async_browser)  # type: ignore[call-arg]
diff --git a/libs/community/langchain_community/tools/pubmed/tool.py b/libs/community/langchain_community/tools/pubmed/tool.py
index 44242379dd..7eda0fd3a5 100644
--- a/libs/community/langchain_community/tools/pubmed/tool.py
+++ b/libs/community/langchain_community/tools/pubmed/tool.py
@@ -18,7 +18,7 @@ class PubmedQueryRun(BaseTool):
         "from biomedical literature, MEDLINE, life science journals, and online books. "
         "Input should be a search query."
     )
-    api_wrapper: PubMedAPIWrapper = Field(default_factory=PubMedAPIWrapper)
+    api_wrapper: PubMedAPIWrapper = Field(default_factory=PubMedAPIWrapper)  # type: ignore[arg-type]
 
     def _run(
         self,
diff --git a/libs/community/langchain_community/tools/reddit_search/tool.py b/libs/community/langchain_community/tools/reddit_search/tool.py
index 7c0da2a01e..e245286e84 100644
--- a/libs/community/langchain_community/tools/reddit_search/tool.py
+++ b/libs/community/langchain_community/tools/reddit_search/tool.py
@@ -42,7 +42,7 @@ class RedditSearchRun(BaseTool):
         "A tool that searches for posts on Reddit."
         "Useful when you need to know post information on a subreddit."
     )
-    api_wrapper: RedditSearchAPIWrapper = Field(default_factory=RedditSearchAPIWrapper)
+    api_wrapper: RedditSearchAPIWrapper = Field(default_factory=RedditSearchAPIWrapper)  # type: ignore[arg-type]
     args_schema: Type[BaseModel] = RedditSearchSchema
 
     def _run(
diff --git a/libs/community/langchain_community/tools/scenexplain/tool.py b/libs/community/langchain_community/tools/scenexplain/tool.py
index 5806cd7bb2..3e3639c4cf 100644
--- a/libs/community/langchain_community/tools/scenexplain/tool.py
+++ b/libs/community/langchain_community/tools/scenexplain/tool.py
@@ -23,7 +23,7 @@ class SceneXplainTool(BaseTool):
         "for an image. The input can be an image file of any format, and "
         "the output will be a text description that covers every detail of the image."
     )
-    api_wrapper: SceneXplainAPIWrapper = Field(default_factory=SceneXplainAPIWrapper)
+    api_wrapper: SceneXplainAPIWrapper = Field(default_factory=SceneXplainAPIWrapper)  # type: ignore[arg-type]
 
     def _run(
         self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None
diff --git a/libs/community/langchain_community/tools/semanticscholar/tool.py b/libs/community/langchain_community/tools/semanticscholar/tool.py
index 2faee2f77f..d9bf773ea9 100644
--- a/libs/community/langchain_community/tools/semanticscholar/tool.py
+++ b/libs/community/langchain_community/tools/semanticscholar/tool.py
@@ -26,7 +26,7 @@ class SemanticScholarQueryRun(BaseTool):
         "Input should be a search query."
     )
     api_wrapper: SemanticScholarAPIWrapper = Field(
-        default_factory=SemanticScholarAPIWrapper
+        default_factory=SemanticScholarAPIWrapper  # type: ignore[arg-type]
     )
     args_schema: Type[BaseModel] = SemantscholarInput
 
diff --git a/libs/community/langchain_community/tools/spark_sql/tool.py b/libs/community/langchain_community/tools/spark_sql/tool.py
index 9110d543fd..dacf36aa3b 100644
--- a/libs/community/langchain_community/tools/spark_sql/tool.py
+++ b/libs/community/langchain_community/tools/spark_sql/tool.py
@@ -97,7 +97,7 @@ class QueryCheckerTool(BaseSparkSQLTool, BaseTool):
             from langchain.chains.llm import LLMChain
 
             values["llm_chain"] = LLMChain(
-                llm=values.get("llm"),
+                llm=values.get("llm"),  # type: ignore[arg-type]
                 prompt=PromptTemplate(
                     template=QUERY_CHECKER, input_variables=["query"]
                 ),
diff --git a/libs/community/langchain_community/tools/sql_database/tool.py b/libs/community/langchain_community/tools/sql_database/tool.py
index fa055a5a14..f3e4ff0a75 100644
--- a/libs/community/langchain_community/tools/sql_database/tool.py
+++ b/libs/community/langchain_community/tools/sql_database/tool.py
@@ -122,7 +122,7 @@ class QuerySQLCheckerTool(BaseSQLDatabaseTool, BaseTool):
             from langchain.chains.llm import LLMChain
 
             values["llm_chain"] = LLMChain(
-                llm=values.get("llm"),
+                llm=values.get("llm"),  # type: ignore[arg-type]
                 prompt=PromptTemplate(
                     template=QUERY_CHECKER, input_variables=["dialect", "query"]
                 ),
diff --git a/libs/community/langchain_community/tools/tavily_search/tool.py b/libs/community/langchain_community/tools/tavily_search/tool.py
index 4eb1ff4b45..1d05387927 100644
--- a/libs/community/langchain_community/tools/tavily_search/tool.py
+++ b/libs/community/langchain_community/tools/tavily_search/tool.py
@@ -27,7 +27,7 @@ class TavilySearchResults(BaseTool):
         "Useful for when you need to answer questions about current events. "
         "Input should be a search query."
     )
-    api_wrapper: TavilySearchAPIWrapper = Field(default_factory=TavilySearchAPIWrapper)
+    api_wrapper: TavilySearchAPIWrapper = Field(default_factory=TavilySearchAPIWrapper)  # type: ignore[arg-type]
     max_results: int = 5
     args_schema: Type[BaseModel] = TavilyInput
 
@@ -70,7 +70,7 @@ class TavilyAnswer(BaseTool):
         "Input should be a search query. "
         "This returns only the answer - not the original source data."
     )
-    api_wrapper: TavilySearchAPIWrapper = Field(default_factory=TavilySearchAPIWrapper)
+    api_wrapper: TavilySearchAPIWrapper = Field(default_factory=TavilySearchAPIWrapper)  # type: ignore[arg-type]
     args_schema: Type[BaseModel] = TavilyInput
 
     def _run(
diff --git a/libs/community/langchain_community/tools/zapier/tool.py b/libs/community/langchain_community/tools/zapier/tool.py
index 22a25b13a9..7330d24579 100644
--- a/libs/community/langchain_community/tools/zapier/tool.py
+++ b/libs/community/langchain_community/tools/zapier/tool.py
@@ -95,7 +95,7 @@ class ZapierNLARunAction(BaseTool):
 
     """
 
-    api_wrapper: ZapierNLAWrapper = Field(default_factory=ZapierNLAWrapper)
+    api_wrapper: ZapierNLAWrapper = Field(default_factory=ZapierNLAWrapper)  # type: ignore[arg-type]
     action_id: str
     params: Optional[dict] = None
     base_prompt: str = BASE_ZAPIER_TOOL_PROMPT
@@ -174,7 +174,7 @@ class ZapierNLAListActions(BaseTool):
     description: str = BASE_ZAPIER_TOOL_PROMPT + (
         "This tool returns a list of the user's exposed actions."
     )
-    api_wrapper: ZapierNLAWrapper = Field(default_factory=ZapierNLAWrapper)
+    api_wrapper: ZapierNLAWrapper = Field(default_factory=ZapierNLAWrapper)  # type: ignore[arg-type]
 
     def _run(
         self,
diff --git a/libs/community/langchain_community/utilities/redis.py b/libs/community/langchain_community/utilities/redis.py
index 5b613667b6..3840c7a63d 100644
--- a/libs/community/langchain_community/utilities/redis.py
+++ b/libs/community/langchain_community/utilities/redis.py
@@ -214,4 +214,4 @@ def _check_for_cluster(redis_client: RedisType) -> bool:
 def _redis_cluster_client(redis_url: str, **kwargs: Any) -> RedisType:
     from redis.cluster import RedisCluster
 
-    return RedisCluster.from_url(redis_url, **kwargs)
+    return RedisCluster.from_url(redis_url, **kwargs)  # type: ignore[return-value]
diff --git a/libs/community/poetry.lock b/libs/community/poetry.lock
index 8a556b044e..c9d11c44e9 100644
--- a/libs/community/poetry.lock
+++ b/libs/community/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "aenum"
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@@ -4740,52 +4741,49 @@ para = ">=0.0.1"
 
 [[package]]
 name = "mypy"
-version = "0.991"
+version = "1.10.0"
 description = "Optional static typing for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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+
+[package.dependencies]
+mypy-extensions = ">=1.0.0"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = ">=3.10"
+typing-extensions = ">=4.1.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
 install-types = ["pip"]
-python2 = ["typed-ast (>=1.4.0,<2)"]
+mypyc = ["setuptools (>=50)"]
 reports = ["lxml"]
 
 [[package]]
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     {file = "psycopg2_binary-2.9.9-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a602ea5aff39bb9fac6308e9c9d82b9a35c2bf288e184a816002c9fae930b77"},
@@ -7159,7 +7152,6 @@ files = [
     {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
-    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
     {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
     {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
     {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
@@ -10092,4 +10084,4 @@ extended-testing = ["aiosqlite", "aleph-alpha-client", "anthropic", "arxiv", "as
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "657797396fff40d21216962c43171ba5605725e1047339443d7f346e2f5f0b80"
+content-hash = "66b00eea10e05312fcafa5f68e4b863942c344051bdd93b575b0b26fce9fce21"
diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml
index b1ba5b4f7b..00328f63f6 100644
--- a/libs/community/pyproject.toml
+++ b/libs/community/pyproject.toml
@@ -174,7 +174,7 @@ optional = true
 ruff = "^0.1.5"
 
 [tool.poetry.group.typing.dependencies]
-mypy = "^0.991"
+mypy = "^1"
 types-pyyaml = "^6.0.12.2"
 types-requests = "^2.28.11.5"
 types-toml = "^0.10.8.1"
diff --git a/libs/community/tests/integration_tests/chat_models/test_anthropic.py b/libs/community/tests/integration_tests/chat_models/test_anthropic.py
index c01b5ff298..bbee040370 100644
--- a/libs/community/tests/integration_tests/chat_models/test_anthropic.py
+++ b/libs/community/tests/integration_tests/chat_models/test_anthropic.py
@@ -15,7 +15,7 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 @pytest.mark.scheduled
 def test_anthropic_call() -> None:
     """Test valid call to anthropic."""
-    chat = ChatAnthropic(model="test")
+    chat = ChatAnthropic(model="test")  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     assert isinstance(response, AIMessage)
@@ -25,7 +25,7 @@ def test_anthropic_call() -> None:
 @pytest.mark.scheduled
 def test_anthropic_generate() -> None:
     """Test generate method of anthropic."""
-    chat = ChatAnthropic(model="test")
+    chat = ChatAnthropic(model="test")  # type: ignore[call-arg]
     chat_messages: List[List[BaseMessage]] = [
         [HumanMessage(content="How many toes do dogs have?")]
     ]
@@ -42,7 +42,7 @@ def test_anthropic_generate() -> None:
 @pytest.mark.scheduled
 def test_anthropic_streaming() -> None:
     """Test streaming tokens from anthropic."""
-    chat = ChatAnthropic(model="test", streaming=True)
+    chat = ChatAnthropic(model="test", streaming=True)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     assert isinstance(response, AIMessage)
@@ -54,7 +54,7 @@ def test_anthropic_streaming_callback() -> None:
     """Test that streaming correctly invokes on_llm_new_token callback."""
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
-    chat = ChatAnthropic(
+    chat = ChatAnthropic(  # type: ignore[call-arg]
         model="test",
         streaming=True,
         callback_manager=callback_manager,
@@ -70,7 +70,7 @@ async def test_anthropic_async_streaming_callback() -> None:
     """Test that streaming correctly invokes on_llm_new_token callback."""
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
-    chat = ChatAnthropic(
+    chat = ChatAnthropic(  # type: ignore[call-arg]
         model="test",
         streaming=True,
         callback_manager=callback_manager,
diff --git a/libs/community/tests/integration_tests/chat_models/test_azure_openai.py b/libs/community/tests/integration_tests/chat_models/test_azure_openai.py
index 7d3c3cfe8c..03362273aa 100644
--- a/libs/community/tests/integration_tests/chat_models/test_azure_openai.py
+++ b/libs/community/tests/integration_tests/chat_models/test_azure_openai.py
@@ -20,7 +20,7 @@ DEPLOYMENT_NAME = os.environ.get(
 
 
 def _get_llm(**kwargs: Any) -> AzureChatOpenAI:
-    return AzureChatOpenAI(
+    return AzureChatOpenAI(  # type: ignore[call-arg]
         deployment_name=DEPLOYMENT_NAME,
         openai_api_version=OPENAI_API_VERSION,
         azure_endpoint=OPENAI_API_BASE,
diff --git a/libs/community/tests/integration_tests/chat_models/test_baichuan.py b/libs/community/tests/integration_tests/chat_models/test_baichuan.py
index a44e0c94db..62008a8ab2 100644
--- a/libs/community/tests/integration_tests/chat_models/test_baichuan.py
+++ b/libs/community/tests/integration_tests/chat_models/test_baichuan.py
@@ -23,7 +23,7 @@ def test_chat_baichuan_default_non_streaming() -> None:
 
 
 def test_chat_baichuan_turbo() -> None:
-    chat = ChatBaichuan(model="Baichuan2-Turbo", streaming=True)
+    chat = ChatBaichuan(model="Baichuan2-Turbo", streaming=True)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     assert isinstance(response, AIMessage)
@@ -31,7 +31,7 @@ def test_chat_baichuan_turbo() -> None:
 
 
 def test_chat_baichuan_turbo_non_streaming() -> None:
-    chat = ChatBaichuan(model="Baichuan2-Turbo")
+    chat = ChatBaichuan(model="Baichuan2-Turbo")  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     assert isinstance(response, AIMessage)
diff --git a/libs/community/tests/integration_tests/chat_models/test_bedrock.py b/libs/community/tests/integration_tests/chat_models/test_bedrock.py
index d1d5399bb8..54a000668e 100644
--- a/libs/community/tests/integration_tests/chat_models/test_bedrock.py
+++ b/libs/community/tests/integration_tests/chat_models/test_bedrock.py
@@ -17,7 +17,7 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 
 @pytest.fixture
 def chat() -> BedrockChat:
-    return BedrockChat(model_id="anthropic.claude-v2", model_kwargs={"temperature": 0})
+    return BedrockChat(model_id="anthropic.claude-v2", model_kwargs={"temperature": 0})  # type: ignore[call-arg]
 
 
 @pytest.mark.scheduled
@@ -63,7 +63,7 @@ def test_chat_bedrock_streaming() -> None:
     """Test that streaming correctly invokes on_llm_new_token callback."""
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
-    chat = BedrockChat(
+    chat = BedrockChat(  # type: ignore[call-arg]
         model_id="anthropic.claude-v2",
         streaming=True,
         callback_manager=callback_manager,
@@ -92,7 +92,7 @@ def test_chat_bedrock_streaming_generation_info() -> None:
 
     callback = _FakeCallback()
     callback_manager = CallbackManager([callback])
-    chat = BedrockChat(
+    chat = BedrockChat(  # type: ignore[call-arg]
         model_id="anthropic.claude-v2",
         callback_manager=callback_manager,
     )
diff --git a/libs/community/tests/integration_tests/chat_models/test_coze.py b/libs/community/tests/integration_tests/chat_models/test_coze.py
index 6ce07bce7d..7eaaa86d5e 100644
--- a/libs/community/tests/integration_tests/chat_models/test_coze.py
+++ b/libs/community/tests/integration_tests/chat_models/test_coze.py
@@ -9,7 +9,7 @@ from langchain_community.chat_models.coze import ChatCoze
 def test_chat_coze_default() -> None:
     chat = ChatCoze(
         coze_api_base="https://api.coze.com",
-        coze_api_key="pat_...",
+        coze_api_key="pat_...",  # type: ignore[arg-type]
         bot_id="7....",
         user="123",
         conversation_id="",
@@ -24,7 +24,7 @@ def test_chat_coze_default() -> None:
 def test_chat_coze_default_non_streaming() -> None:
     chat = ChatCoze(
         coze_api_base="https://api.coze.com",
-        coze_api_key="pat_...",
+        coze_api_key="pat_...",  # type: ignore[arg-type]
         bot_id="7....",
         user="123",
         conversation_id="",
diff --git a/libs/community/tests/integration_tests/chat_models/test_dappier.py b/libs/community/tests/integration_tests/chat_models/test_dappier.py
index 2fcfe1f68e..2a0c8527a7 100644
--- a/libs/community/tests/integration_tests/chat_models/test_dappier.py
+++ b/libs/community/tests/integration_tests/chat_models/test_dappier.py
@@ -12,7 +12,7 @@ from langchain_community.chat_models.dappier import (
 @pytest.mark.scheduled
 def test_dappier_chat() -> None:
     """Test ChatDappierAI wrapper."""
-    chat = ChatDappierAI(
+    chat = ChatDappierAI(  # type: ignore[call-arg]
         dappier_endpoint="https://api.dappier.com/app/datamodelconversation",
         dappier_model="dm_01hpsxyfm2fwdt2zet9cg6fdxt",
     )
@@ -25,7 +25,7 @@ def test_dappier_chat() -> None:
 @pytest.mark.scheduled
 def test_dappier_generate() -> None:
     """Test generate method of Dappier AI."""
-    chat = ChatDappierAI(
+    chat = ChatDappierAI(  # type: ignore[call-arg]
         dappier_endpoint="https://api.dappier.com/app/datamodelconversation",
         dappier_model="dm_01hpsxyfm2fwdt2zet9cg6fdxt",
     )
@@ -45,7 +45,7 @@ def test_dappier_generate() -> None:
 @pytest.mark.scheduled
 async def test_dappier_agenerate() -> None:
     """Test async generation."""
-    chat = ChatDappierAI(
+    chat = ChatDappierAI(  # type: ignore[call-arg]
         dappier_endpoint="https://api.dappier.com/app/datamodelconversation",
         dappier_model="dm_01hpsxyfm2fwdt2zet9cg6fdxt",
     )
diff --git a/libs/community/tests/integration_tests/chat_models/test_edenai.py b/libs/community/tests/integration_tests/chat_models/test_edenai.py
index e699da6ef2..52f51d022b 100644
--- a/libs/community/tests/integration_tests/chat_models/test_edenai.py
+++ b/libs/community/tests/integration_tests/chat_models/test_edenai.py
@@ -13,7 +13,7 @@ from langchain_community.chat_models.edenai import (
 @pytest.mark.scheduled
 def test_chat_edenai() -> None:
     """Test ChatEdenAI wrapper."""
-    chat = ChatEdenAI(
+    chat = ChatEdenAI(  # type: ignore[call-arg]
         provider="openai", model="gpt-3.5-turbo", temperature=0, max_tokens=1000
     )
     message = HumanMessage(content="Who are you ?")
@@ -25,7 +25,7 @@ def test_chat_edenai() -> None:
 @pytest.mark.scheduled
 def test_edenai_generate() -> None:
     """Test generate method of edenai."""
-    chat = ChatEdenAI(provider="google")
+    chat = ChatEdenAI(provider="google")  # type: ignore[call-arg]
     chat_messages: List[List[BaseMessage]] = [
         [HumanMessage(content="What is the meaning of life?")]
     ]
@@ -42,7 +42,7 @@ def test_edenai_generate() -> None:
 @pytest.mark.scheduled
 async def test_edenai_async_generate() -> None:
     """Test async generation."""
-    chat = ChatEdenAI(provider="google", max_tokens=50)
+    chat = ChatEdenAI(provider="google", max_tokens=50)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     result: LLMResult = await chat.agenerate([[message], [message]])
     assert isinstance(result, LLMResult)
@@ -55,7 +55,7 @@ async def test_edenai_async_generate() -> None:
 @pytest.mark.scheduled
 def test_edenai_streaming() -> None:
     """Test streaming EdenAI chat."""
-    llm = ChatEdenAI(provider="openai", max_tokens=50)
+    llm = ChatEdenAI(provider="openai", max_tokens=50)  # type: ignore[call-arg]
 
     for chunk in llm.stream("Generate a high fantasy story."):
         assert isinstance(chunk.content, str)
@@ -64,7 +64,7 @@ def test_edenai_streaming() -> None:
 @pytest.mark.scheduled
 async def test_edenai_astream() -> None:
     """Test streaming from EdenAI."""
-    llm = ChatEdenAI(provider="openai", max_tokens=50)
+    llm = ChatEdenAI(provider="openai", max_tokens=50)  # type: ignore[call-arg]
 
     async for token in llm.astream("Generate a high fantasy story."):
         assert isinstance(token.content, str)
diff --git a/libs/community/tests/integration_tests/chat_models/test_google_palm.py b/libs/community/tests/integration_tests/chat_models/test_google_palm.py
index 11cf35877c..e0a879bbd0 100644
--- a/libs/community/tests/integration_tests/chat_models/test_google_palm.py
+++ b/libs/community/tests/integration_tests/chat_models/test_google_palm.py
@@ -12,7 +12,7 @@ from langchain_community.chat_models import ChatGooglePalm
 
 def test_chat_google_palm() -> None:
     """Test Google PaLM Chat API wrapper."""
-    chat = ChatGooglePalm()
+    chat = ChatGooglePalm()  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     assert isinstance(response, BaseMessage)
@@ -21,7 +21,7 @@ def test_chat_google_palm() -> None:
 
 def test_chat_google_palm_system_message() -> None:
     """Test Google PaLM Chat API wrapper with system message."""
-    chat = ChatGooglePalm()
+    chat = ChatGooglePalm()  # type: ignore[call-arg]
     system_message = SystemMessage(content="You are to chat with the user.")
     human_message = HumanMessage(content="Hello")
     response = chat.invoke([system_message, human_message])
@@ -31,7 +31,7 @@ def test_chat_google_palm_system_message() -> None:
 
 def test_chat_google_palm_generate() -> None:
     """Test Google PaLM Chat API wrapper with generate."""
-    chat = ChatGooglePalm(n=2, temperature=1.0)
+    chat = ChatGooglePalm(n=2, temperature=1.0)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.generate([[message], [message]])
     assert isinstance(response, LLMResult)
@@ -48,7 +48,7 @@ def test_chat_google_palm_multiple_completions() -> None:
     """Test Google PaLM Chat API wrapper with multiple completions."""
     # The API de-dupes duplicate responses, so set temperature higher. This
     # could be a flakey test though...
-    chat = ChatGooglePalm(n=5, temperature=1.0)
+    chat = ChatGooglePalm(n=5, temperature=1.0)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat._generate([message])
     assert isinstance(response, ChatResult)
@@ -60,7 +60,7 @@ def test_chat_google_palm_multiple_completions() -> None:
 
 async def test_async_chat_google_palm() -> None:
     """Test async generation."""
-    chat = ChatGooglePalm(n=2, temperature=1.0)
+    chat = ChatGooglePalm(n=2, temperature=1.0)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = await chat.agenerate([[message], [message]])
     assert isinstance(response, LLMResult)
diff --git a/libs/community/tests/integration_tests/chat_models/test_gpt_router.py b/libs/community/tests/integration_tests/chat_models/test_gpt_router.py
index d98ba6fe4e..0b5230e98c 100644
--- a/libs/community/tests/integration_tests/chat_models/test_gpt_router.py
+++ b/libs/community/tests/integration_tests/chat_models/test_gpt_router.py
@@ -16,9 +16,9 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 
 
 def test_api_key_is_string() -> None:
-    gpt_router = GPTRouter(
+    gpt_router = GPTRouter(  # type: ignore[call-arg]
         gpt_router_api_base="https://example.com",
-        gpt_router_api_key="secret-api-key",
+        gpt_router_api_key="secret-api-key",  # type: ignore[arg-type]
     )
     assert isinstance(gpt_router.gpt_router_api_key, SecretStr)
 
@@ -26,9 +26,9 @@ def test_api_key_is_string() -> None:
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    gpt_router = GPTRouter(
+    gpt_router = GPTRouter(  # type: ignore[call-arg]
         gpt_router_api_base="https://example.com",
-        gpt_router_api_key="secret-api-key",
+        gpt_router_api_key="secret-api-key",  # type: ignore[arg-type]
     )
     print(gpt_router.gpt_router_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
diff --git a/libs/community/tests/integration_tests/chat_models/test_jinachat.py b/libs/community/tests/integration_tests/chat_models/test_jinachat.py
index 0865cfb0f1..a43b955d7e 100644
--- a/libs/community/tests/integration_tests/chat_models/test_jinachat.py
+++ b/libs/community/tests/integration_tests/chat_models/test_jinachat.py
@@ -14,7 +14,7 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 
 
 def test_jinachat_api_key_is_secret_string() -> None:
-    llm = JinaChat(jinachat_api_key="secret-api-key")
+    llm = JinaChat(jinachat_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     assert isinstance(llm.jinachat_api_key, SecretStr)
 
 
@@ -23,7 +23,7 @@ def test_jinachat_api_key_masked_when_passed_from_env(
 ) -> None:
     """Test initialization with an API key provided via an env variable"""
     monkeypatch.setenv("JINACHAT_API_KEY", "secret-api-key")
-    llm = JinaChat()
+    llm = JinaChat()  # type: ignore[call-arg]
     print(llm.jinachat_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -34,7 +34,7 @@ def test_jinachat_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
     """Test initialization with an API key provided via the initializer"""
-    llm = JinaChat(jinachat_api_key="secret-api-key")
+    llm = JinaChat(jinachat_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     print(llm.jinachat_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -43,13 +43,13 @@ def test_jinachat_api_key_masked_when_passed_via_constructor(
 
 def test_uses_actual_secret_value_from_secretstr() -> None:
     """Test that actual secret is retrieved using `.get_secret_value()`."""
-    llm = JinaChat(jinachat_api_key="secret-api-key")
+    llm = JinaChat(jinachat_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     assert cast(SecretStr, llm.jinachat_api_key).get_secret_value() == "secret-api-key"
 
 
 def test_jinachat() -> None:
     """Test JinaChat wrapper."""
-    chat = JinaChat(max_tokens=10)
+    chat = JinaChat(max_tokens=10)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     assert isinstance(response, BaseMessage)
@@ -58,7 +58,7 @@ def test_jinachat() -> None:
 
 def test_jinachat_system_message() -> None:
     """Test JinaChat wrapper with system message."""
-    chat = JinaChat(max_tokens=10)
+    chat = JinaChat(max_tokens=10)  # type: ignore[call-arg]
     system_message = SystemMessage(content="You are to chat with the user.")
     human_message = HumanMessage(content="Hello")
     response = chat.invoke([system_message, human_message])
@@ -68,7 +68,7 @@ def test_jinachat_system_message() -> None:
 
 def test_jinachat_generate() -> None:
     """Test JinaChat wrapper with generate."""
-    chat = JinaChat(max_tokens=10)
+    chat = JinaChat(max_tokens=10)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.generate([[message], [message]])
     assert isinstance(response, LLMResult)
@@ -85,7 +85,7 @@ def test_jinachat_streaming() -> None:
     """Test that streaming correctly invokes on_llm_new_token callback."""
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
-    chat = JinaChat(
+    chat = JinaChat(  # type: ignore[call-arg]
         max_tokens=10,
         streaming=True,
         temperature=0,
@@ -100,7 +100,7 @@ def test_jinachat_streaming() -> None:
 
 async def test_async_jinachat() -> None:
     """Test async generation."""
-    chat = JinaChat(max_tokens=102)
+    chat = JinaChat(max_tokens=102)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = await chat.agenerate([[message], [message]])
     assert isinstance(response, LLMResult)
@@ -117,7 +117,7 @@ async def test_async_jinachat_streaming() -> None:
     """Test that streaming correctly invokes on_llm_new_token callback."""
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
-    chat = JinaChat(
+    chat = JinaChat(  # type: ignore[call-arg]
         max_tokens=10,
         streaming=True,
         temperature=0,
@@ -140,18 +140,18 @@ async def test_async_jinachat_streaming() -> None:
 def test_jinachat_extra_kwargs() -> None:
     """Test extra kwargs to chat openai."""
     # Check that foo is saved in extra_kwargs.
-    llm = JinaChat(foo=3, max_tokens=10)
+    llm = JinaChat(foo=3, max_tokens=10)  # type: ignore[call-arg]
     assert llm.max_tokens == 10
     assert llm.model_kwargs == {"foo": 3}
 
     # Test that if extra_kwargs are provided, they are added to it.
-    llm = JinaChat(foo=3, model_kwargs={"bar": 2})
+    llm = JinaChat(foo=3, model_kwargs={"bar": 2})  # type: ignore[call-arg]
     assert llm.model_kwargs == {"foo": 3, "bar": 2}
 
     # Test that if provided twice it errors
     with pytest.raises(ValueError):
-        JinaChat(foo=3, model_kwargs={"foo": 2})
+        JinaChat(foo=3, model_kwargs={"foo": 2})  # type: ignore[call-arg]
 
     # Test that if explicit param is specified in kwargs it errors
     with pytest.raises(ValueError):
-        JinaChat(model_kwargs={"temperature": 0.2})
+        JinaChat(model_kwargs={"temperature": 0.2})  # type: ignore[call-arg]
diff --git a/libs/community/tests/integration_tests/chat_models/test_kinetica.py b/libs/community/tests/integration_tests/chat_models/test_kinetica.py
index 05f55e7a6b..8c8466bd7e 100644
--- a/libs/community/tests/integration_tests/chat_models/test_kinetica.py
+++ b/libs/community/tests/integration_tests/chat_models/test_kinetica.py
@@ -74,7 +74,7 @@ class TestChatKinetica:
         """Create an LLM instance."""
         import gpudb
 
-        kinetica_llm = ChatKinetica()
+        kinetica_llm = ChatKinetica()  # type: ignore[call-arg]
         LOG.info(kinetica_llm._identifying_params)
 
         assert isinstance(kinetica_llm.kdbc, gpudb.GPUdb)
@@ -83,7 +83,7 @@ class TestChatKinetica:
     @pytest.mark.vcr()
     def test_load_context(self) -> None:
         """Load the LLM context from the DB."""
-        kinetica_llm = ChatKinetica()
+        kinetica_llm = ChatKinetica()  # type: ignore[call-arg]
         ctx_messages = kinetica_llm.load_messages_from_context(self.context_name)
 
         system_message = ctx_messages[0]
@@ -96,7 +96,7 @@ class TestChatKinetica:
     @pytest.mark.vcr()
     def test_generate(self) -> None:
         """Generate SQL from a chain."""
-        kinetica_llm = ChatKinetica()
+        kinetica_llm = ChatKinetica()  # type: ignore[call-arg]
 
         # create chain
         ctx_messages = kinetica_llm.load_messages_from_context(self.context_name)
@@ -113,7 +113,7 @@ class TestChatKinetica:
     @pytest.mark.vcr()
     def test_full_chain(self) -> None:
         """Generate SQL from a chain and execute the query."""
-        kinetica_llm = ChatKinetica()
+        kinetica_llm = ChatKinetica()  # type: ignore[call-arg]
 
         # create chain
         ctx_messages = kinetica_llm.load_messages_from_context(self.context_name)
diff --git a/libs/community/tests/integration_tests/chat_models/test_konko.py b/libs/community/tests/integration_tests/chat_models/test_konko.py
index 94f1b652b3..a4b9977de3 100644
--- a/libs/community/tests/integration_tests/chat_models/test_konko.py
+++ b/libs/community/tests/integration_tests/chat_models/test_konko.py
@@ -192,15 +192,15 @@ def test_konko_streaming_param_validation_test() -> None:
 
 def test_konko_additional_args_test() -> None:
     """Evaluate extra arguments for ChatKonko."""
-    chat_instance = ChatKonko(extra=3, max_tokens=10)
+    chat_instance = ChatKonko(extra=3, max_tokens=10)  # type: ignore[call-arg]
     assert chat_instance.max_tokens == 10
     assert chat_instance.model_kwargs == {"extra": 3}
 
-    chat_instance = ChatKonko(extra=3, model_kwargs={"addition": 2})
+    chat_instance = ChatKonko(extra=3, model_kwargs={"addition": 2})  # type: ignore[call-arg]
     assert chat_instance.model_kwargs == {"extra": 3, "addition": 2}
 
     with pytest.raises(ValueError):
-        ChatKonko(extra=3, model_kwargs={"extra": 2})
+        ChatKonko(extra=3, model_kwargs={"extra": 2})  # type: ignore[call-arg]
 
     with pytest.raises(ValueError):
         ChatKonko(model_kwargs={"temperature": 0.2})
diff --git a/libs/community/tests/integration_tests/chat_models/test_litellm.py b/libs/community/tests/integration_tests/chat_models/test_litellm.py
index 1d29c5c7ed..e7c4cbd85e 100644
--- a/libs/community/tests/integration_tests/chat_models/test_litellm.py
+++ b/libs/community/tests/integration_tests/chat_models/test_litellm.py
@@ -13,7 +13,7 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 
 def test_litellm_call() -> None:
     """Test valid call to litellm."""
-    chat = ChatLiteLLM(
+    chat = ChatLiteLLM(  # type: ignore[call-arg]
         model="test",
     )
     message = HumanMessage(content="Hello")
@@ -24,7 +24,7 @@ def test_litellm_call() -> None:
 
 def test_litellm_generate() -> None:
     """Test generate method of anthropic."""
-    chat = ChatLiteLLM(model="test")
+    chat = ChatLiteLLM(model="test")  # type: ignore[call-arg]
     chat_messages: List[List[BaseMessage]] = [
         [HumanMessage(content="How many toes do dogs have?")]
     ]
@@ -40,7 +40,7 @@ def test_litellm_generate() -> None:
 
 def test_litellm_streaming() -> None:
     """Test streaming tokens from anthropic."""
-    chat = ChatLiteLLM(model="test", streaming=True)
+    chat = ChatLiteLLM(model="test", streaming=True)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     assert isinstance(response, AIMessage)
@@ -51,7 +51,7 @@ def test_litellm_streaming_callback() -> None:
     """Test that streaming correctly invokes on_llm_new_token callback."""
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
-    chat = ChatLiteLLM(
+    chat = ChatLiteLLM(  # type: ignore[call-arg]
         model="test",
         streaming=True,
         callback_manager=callback_manager,
diff --git a/libs/community/tests/integration_tests/chat_models/test_openai.py b/libs/community/tests/integration_tests/chat_models/test_openai.py
index dc5c6639ee..da6d382361 100644
--- a/libs/community/tests/integration_tests/chat_models/test_openai.py
+++ b/libs/community/tests/integration_tests/chat_models/test_openai.py
@@ -42,7 +42,7 @@ def test_chat_openai_model() -> None:
     """Test ChatOpenAI wrapper handles model_name."""
     chat = ChatOpenAI(model="foo")
     assert chat.model_name == "foo"
-    chat = ChatOpenAI(model_name="bar")
+    chat = ChatOpenAI(model_name="bar")  # type: ignore[call-arg]
     assert chat.model_name == "bar"
 
 
@@ -243,17 +243,17 @@ async def test_async_chat_openai_bind_functions() -> None:
 def test_chat_openai_extra_kwargs() -> None:
     """Test extra kwargs to chat openai."""
     # Check that foo is saved in extra_kwargs.
-    llm = ChatOpenAI(foo=3, max_tokens=10)
+    llm = ChatOpenAI(foo=3, max_tokens=10)  # type: ignore[call-arg]
     assert llm.max_tokens == 10
     assert llm.model_kwargs == {"foo": 3}
 
     # Test that if extra_kwargs are provided, they are added to it.
-    llm = ChatOpenAI(foo=3, model_kwargs={"bar": 2})
+    llm = ChatOpenAI(foo=3, model_kwargs={"bar": 2})  # type: ignore[call-arg]
     assert llm.model_kwargs == {"foo": 3, "bar": 2}
 
     # Test that if provided twice it errors
     with pytest.raises(ValueError):
-        ChatOpenAI(foo=3, model_kwargs={"foo": 2})
+        ChatOpenAI(foo=3, model_kwargs={"foo": 2})  # type: ignore[call-arg]
 
     # Test that if explicit param is specified in kwargs it errors
     with pytest.raises(ValueError):
diff --git a/libs/community/tests/integration_tests/chat_models/test_pai_eas_chat_endpoint.py b/libs/community/tests/integration_tests/chat_models/test_pai_eas_chat_endpoint.py
index dc114b6be7..8371503931 100644
--- a/libs/community/tests/integration_tests/chat_models/test_pai_eas_chat_endpoint.py
+++ b/libs/community/tests/integration_tests/chat_models/test_pai_eas_chat_endpoint.py
@@ -11,8 +11,8 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 
 def test_pai_eas_call() -> None:
     chat = PaiEasChatEndpoint(
-        eas_service_url=os.getenv("EAS_SERVICE_URL"),
-        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),
+        eas_service_url=os.getenv("EAS_SERVICE_URL"),  # type: ignore[arg-type]
+        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),  # type: ignore[arg-type]
     )
     response = chat.invoke([HumanMessage(content="Say foo:")])
     assert isinstance(response, BaseMessage)
@@ -22,8 +22,8 @@ def test_pai_eas_call() -> None:
 def test_multiple_history() -> None:
     """Tests multiple history works."""
     chat = PaiEasChatEndpoint(
-        eas_service_url=os.getenv("EAS_SERVICE_URL"),
-        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),
+        eas_service_url=os.getenv("EAS_SERVICE_URL"),  # type: ignore[arg-type]
+        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),  # type: ignore[arg-type]
     )
 
     response = chat.invoke(
@@ -40,8 +40,8 @@ def test_multiple_history() -> None:
 def test_stream() -> None:
     """Test that stream works."""
     chat = PaiEasChatEndpoint(
-        eas_service_url=os.getenv("EAS_SERVICE_URL"),
-        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),
+        eas_service_url=os.getenv("EAS_SERVICE_URL"),  # type: ignore[arg-type]
+        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),  # type: ignore[arg-type]
         streaming=True,
     )
     callback_handler = FakeCallbackHandler()
@@ -62,8 +62,8 @@ def test_stream() -> None:
 def test_multiple_messages() -> None:
     """Tests multiple messages works."""
     chat = PaiEasChatEndpoint(
-        eas_service_url=os.getenv("EAS_SERVICE_URL"),
-        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),
+        eas_service_url=os.getenv("EAS_SERVICE_URL"),  # type: ignore[arg-type]
+        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),  # type: ignore[arg-type]
     )
     message = HumanMessage(content="Hi, how are you.")
     response = chat.generate([[message], [message]])
diff --git a/libs/community/tests/integration_tests/chat_models/test_premai.py b/libs/community/tests/integration_tests/chat_models/test_premai.py
index 36b96dd8d5..27b2e9d661 100644
--- a/libs/community/tests/integration_tests/chat_models/test_premai.py
+++ b/libs/community/tests/integration_tests/chat_models/test_premai.py
@@ -14,12 +14,12 @@ from langchain_community.chat_models import ChatPremAI
 
 @pytest.fixture
 def chat() -> ChatPremAI:
-    return ChatPremAI(project_id=8)
+    return ChatPremAI(project_id=8)  # type: ignore[call-arg]
 
 
 def test_chat_premai() -> None:
     """Test ChatPremAI wrapper."""
-    chat = ChatPremAI(project_id=8)
+    chat = ChatPremAI(project_id=8)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     assert isinstance(response, BaseMessage)
@@ -28,7 +28,7 @@ def test_chat_premai() -> None:
 
 def test_chat_prem_system_message() -> None:
     """Test ChatPremAI wrapper for system message"""
-    chat = ChatPremAI(project_id=8)
+    chat = ChatPremAI(project_id=8)  # type: ignore[call-arg]
     system_message = SystemMessage(content="You are to chat with the user.")
     human_message = HumanMessage(content="Hello")
     response = chat.invoke([system_message, human_message])
@@ -38,13 +38,13 @@ def test_chat_prem_system_message() -> None:
 
 def test_chat_prem_model() -> None:
     """Test ChatPremAI wrapper handles model_name."""
-    chat = ChatPremAI(model="foo", project_id=8)
+    chat = ChatPremAI(model="foo", project_id=8)  # type: ignore[call-arg]
     assert chat.model == "foo"
 
 
 def test_chat_prem_generate() -> None:
     """Test ChatPremAI wrapper with generate."""
-    chat = ChatPremAI(project_id=8)
+    chat = ChatPremAI(project_id=8)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.generate([[message], [message]])
     assert isinstance(response, LLMResult)
@@ -64,7 +64,7 @@ async def test_prem_invoke(chat: ChatPremAI) -> None:
 
 def test_prem_streaming() -> None:
     """Test streaming tokens from Prem."""
-    chat = ChatPremAI(project_id=8, streaming=True)
+    chat = ChatPremAI(project_id=8, streaming=True)  # type: ignore[call-arg]
 
     for token in chat.stream("I'm Pickle Rick"):
         assert isinstance(token.content, str)
diff --git a/libs/community/tests/integration_tests/chat_models/test_promptlayer_openai.py b/libs/community/tests/integration_tests/chat_models/test_promptlayer_openai.py
index 455c2876dd..3df4d370c3 100644
--- a/libs/community/tests/integration_tests/chat_models/test_promptlayer_openai.py
+++ b/libs/community/tests/integration_tests/chat_models/test_promptlayer_openai.py
@@ -11,7 +11,7 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 
 def test_promptlayer_chat_openai() -> None:
     """Test PromptLayerChatOpenAI wrapper."""
-    chat = PromptLayerChatOpenAI(max_tokens=10)
+    chat = PromptLayerChatOpenAI(max_tokens=10)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     assert isinstance(response, BaseMessage)
@@ -20,7 +20,7 @@ def test_promptlayer_chat_openai() -> None:
 
 def test_promptlayer_chat_openai_system_message() -> None:
     """Test PromptLayerChatOpenAI wrapper with system message."""
-    chat = PromptLayerChatOpenAI(max_tokens=10)
+    chat = PromptLayerChatOpenAI(max_tokens=10)  # type: ignore[call-arg]
     system_message = SystemMessage(content="You are to chat with the user.")
     human_message = HumanMessage(content="Hello")
     response = chat.invoke([system_message, human_message])
@@ -30,7 +30,7 @@ def test_promptlayer_chat_openai_system_message() -> None:
 
 def test_promptlayer_chat_openai_generate() -> None:
     """Test PromptLayerChatOpenAI wrapper with generate."""
-    chat = PromptLayerChatOpenAI(max_tokens=10, n=2)
+    chat = PromptLayerChatOpenAI(max_tokens=10, n=2)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.generate([[message], [message]])
     assert isinstance(response, LLMResult)
@@ -45,7 +45,7 @@ def test_promptlayer_chat_openai_generate() -> None:
 
 def test_promptlayer_chat_openai_multiple_completions() -> None:
     """Test PromptLayerChatOpenAI wrapper with multiple completions."""
-    chat = PromptLayerChatOpenAI(max_tokens=10, n=5)
+    chat = PromptLayerChatOpenAI(max_tokens=10, n=5)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat._generate([message])
     assert isinstance(response, ChatResult)
@@ -59,7 +59,7 @@ def test_promptlayer_chat_openai_streaming() -> None:
     """Test that streaming correctly invokes on_llm_new_token callback."""
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
-    chat = PromptLayerChatOpenAI(
+    chat = PromptLayerChatOpenAI(  # type: ignore[call-arg]
         max_tokens=10,
         streaming=True,
         temperature=0,
@@ -75,7 +75,7 @@ def test_promptlayer_chat_openai_streaming() -> None:
 def test_promptlayer_chat_openai_invalid_streaming_params() -> None:
     """Test that streaming correctly invokes on_llm_new_token callback."""
     with pytest.raises(ValueError):
-        PromptLayerChatOpenAI(
+        PromptLayerChatOpenAI(  # type: ignore[call-arg]
             max_tokens=10,
             streaming=True,
             temperature=0,
@@ -85,7 +85,7 @@ def test_promptlayer_chat_openai_invalid_streaming_params() -> None:
 
 async def test_async_promptlayer_chat_openai() -> None:
     """Test async generation."""
-    chat = PromptLayerChatOpenAI(max_tokens=10, n=2)
+    chat = PromptLayerChatOpenAI(max_tokens=10, n=2)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = await chat.agenerate([[message], [message]])
     assert isinstance(response, LLMResult)
@@ -102,7 +102,7 @@ async def test_async_promptlayer_chat_openai_streaming() -> None:
     """Test that streaming correctly invokes on_llm_new_token callback."""
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
-    chat = PromptLayerChatOpenAI(
+    chat = PromptLayerChatOpenAI(  # type: ignore[call-arg]
         max_tokens=10,
         streaming=True,
         temperature=0,
diff --git a/libs/community/tests/integration_tests/chat_models/test_qianfan_endpoint.py b/libs/community/tests/integration_tests/chat_models/test_qianfan_endpoint.py
index c57a77495e..82e568123d 100644
--- a/libs/community/tests/integration_tests/chat_models/test_qianfan_endpoint.py
+++ b/libs/community/tests/integration_tests/chat_models/test_qianfan_endpoint.py
@@ -90,8 +90,8 @@ def test_initialization() -> None:
     """Test chat model initialization."""
 
     for model in [
-        QianfanChatEndpoint(model="BLOOMZ-7B", timeout=40),
-        QianfanChatEndpoint(model="BLOOMZ-7B", request_timeout=40),
+        QianfanChatEndpoint(model="BLOOMZ-7B", timeout=40),  # type: ignore[call-arg]
+        QianfanChatEndpoint(model="BLOOMZ-7B", request_timeout=40),  # type: ignore[call-arg]
     ]:
         assert model.model == "BLOOMZ-7B"
         assert model.request_timeout == 40
@@ -99,7 +99,7 @@ def test_initialization() -> None:
 
 def test_default_call() -> None:
     """Test default model.invoke(`ERNIE-Bot`) call."""
-    chat = QianfanChatEndpoint()
+    chat = QianfanChatEndpoint()  # type: ignore[call-arg]
     response = chat.invoke([HumanMessage(content="Hello")])
     assert isinstance(response, BaseMessage)
     assert isinstance(response.content, str)
@@ -107,7 +107,7 @@ def test_default_call() -> None:
 
 def test_model() -> None:
     """Test model kwarg works."""
-    chat = QianfanChatEndpoint(model="BLOOMZ-7B")
+    chat = QianfanChatEndpoint(model="BLOOMZ-7B")  # type: ignore[call-arg]
     response = chat.invoke([HumanMessage(content="Hello")])
     assert isinstance(response, BaseMessage)
     assert isinstance(response.content, str)
@@ -115,7 +115,7 @@ def test_model() -> None:
 
 def test_model_param() -> None:
     """Test model params works."""
-    chat = QianfanChatEndpoint()
+    chat = QianfanChatEndpoint()  # type: ignore[call-arg]
     response = chat.invoke([HumanMessage(content="Hello")], model="BLOOMZ-7B")
     assert isinstance(response, BaseMessage)
     assert isinstance(response.content, str)
@@ -123,7 +123,7 @@ def test_model_param() -> None:
 
 def test_endpoint() -> None:
     """Test user custom model deployments like some open source models."""
-    chat = QianfanChatEndpoint(endpoint="qianfan_bloomz_7b_compressed")
+    chat = QianfanChatEndpoint(endpoint="qianfan_bloomz_7b_compressed")  # type: ignore[call-arg]
     response = chat.invoke([HumanMessage(content="Hello")])
     assert isinstance(response, BaseMessage)
     assert isinstance(response.content, str)
@@ -131,9 +131,9 @@ def test_endpoint() -> None:
 
 def test_endpoint_param() -> None:
     """Test user custom model deployments like some open source models."""
-    chat = QianfanChatEndpoint()
+    chat = QianfanChatEndpoint()  # type: ignore[call-arg]
     response = chat.invoke(
-        [HumanMessage(endpoint="qianfan_bloomz_7b_compressed", content="Hello")]
+        [HumanMessage(endpoint="qianfan_bloomz_7b_compressed", content="Hello")]  # type: ignore[call-arg]
     )
     assert isinstance(response, BaseMessage)
     assert isinstance(response.content, str)
@@ -141,7 +141,7 @@ def test_endpoint_param() -> None:
 
 def test_multiple_history() -> None:
     """Tests multiple history works."""
-    chat = QianfanChatEndpoint()
+    chat = QianfanChatEndpoint()  # type: ignore[call-arg]
 
     response = chat.invoke(
         [
@@ -156,7 +156,7 @@ def test_multiple_history() -> None:
 
 def test_chat_generate() -> None:
     """Tests chat generate works."""
-    chat = QianfanChatEndpoint()
+    chat = QianfanChatEndpoint()  # type: ignore[call-arg]
     response = chat.generate(
         [
             [
@@ -175,7 +175,7 @@ def test_chat_generate() -> None:
 
 def test_stream() -> None:
     """Test that stream works."""
-    chat = QianfanChatEndpoint(streaming=True)
+    chat = QianfanChatEndpoint(streaming=True)  # type: ignore[call-arg]
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
     response = chat.invoke(
@@ -203,7 +203,7 @@ def test_stream() -> None:
 
 @pytest.mark.asyncio
 async def test_async_invoke() -> None:
-    chat = QianfanChatEndpoint()
+    chat = QianfanChatEndpoint()  # type: ignore[call-arg]
     res = await chat.ainvoke([HumanMessage(content="Hello")])
     assert isinstance(res, BaseMessage)
     assert res.content != ""
@@ -212,7 +212,7 @@ async def test_async_invoke() -> None:
 @pytest.mark.asyncio
 async def test_async_generate() -> None:
     """Tests chat agenerate works."""
-    chat = QianfanChatEndpoint()
+    chat = QianfanChatEndpoint()  # type: ignore[call-arg]
     response = await chat.agenerate(
         [
             [
@@ -231,7 +231,7 @@ async def test_async_generate() -> None:
 
 @pytest.mark.asyncio
 async def test_async_stream() -> None:
-    chat = QianfanChatEndpoint(streaming=True)
+    chat = QianfanChatEndpoint(streaming=True)  # type: ignore[call-arg]
     async for token in chat.astream(
         [
             HumanMessage(content="Hello."),
@@ -244,7 +244,7 @@ async def test_async_stream() -> None:
 
 def test_multiple_messages() -> None:
     """Tests multiple messages works."""
-    chat = QianfanChatEndpoint()
+    chat = QianfanChatEndpoint()  # type: ignore[call-arg]
     message = HumanMessage(content="Hi, how are you.")
     response = chat.generate([[message], [message]])
 
@@ -259,13 +259,13 @@ def test_multiple_messages() -> None:
 
 
 def test_functions_call_thoughts() -> None:
-    chat = QianfanChatEndpoint(model="ERNIE-Bot")
+    chat = QianfanChatEndpoint(model="ERNIE-Bot")  # type: ignore[call-arg]
 
     prompt_tmpl = "Use the given functions to answer following question: {input}"
     prompt_msgs = [
         HumanMessagePromptTemplate.from_template(prompt_tmpl),
     ]
-    prompt = ChatPromptTemplate(messages=prompt_msgs)
+    prompt = ChatPromptTemplate(messages=prompt_msgs)  # type: ignore[arg-type, call-arg]
 
     chain = prompt | chat.bind(functions=_FUNCTIONS)
 
@@ -276,9 +276,9 @@ def test_functions_call_thoughts() -> None:
 
 
 def test_functions_call() -> None:
-    chat = QianfanChatEndpoint(model="ERNIE-Bot")
+    chat = QianfanChatEndpoint(model="ERNIE-Bot")  # type: ignore[call-arg]
 
-    prompt = ChatPromptTemplate(
+    prompt = ChatPromptTemplate(  # type: ignore[call-arg]
         messages=[
             HumanMessage(content="What's the temperature in Shanghai today?"),
             AIMessage(
@@ -305,7 +305,7 @@ def test_functions_call() -> None:
 
 
 def test_rate_limit() -> None:
-    chat = QianfanChatEndpoint(model="ERNIE-Bot", init_kwargs={"query_per_second": 2})
+    chat = QianfanChatEndpoint(model="ERNIE-Bot", init_kwargs={"query_per_second": 2})  # type: ignore[call-arg]
     assert chat.client._client._rate_limiter._sync_limiter._query_per_second == 2
     responses = chat.batch(
         [
@@ -326,7 +326,7 @@ def test_qianfan_key_masked_when_passed_from_env(
     monkeypatch.setenv("QIANFAN_AK", "test-api-key")
     monkeypatch.setenv("QIANFAN_SK", "test-secret-key")
 
-    chat = QianfanChatEndpoint()
+    chat = QianfanChatEndpoint()  # type: ignore[call-arg]
     print(chat.qianfan_ak, end="")  # noqa: T201
     captured = capsys.readouterr()
     assert captured.out == "**********"
@@ -340,9 +340,9 @@ def test_qianfan_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
     """Test initialization with an API key provided via the initializer"""
-    chat = QianfanChatEndpoint(
-        qianfan_ak="test-api-key",
-        qianfan_sk="test-secret-key",
+    chat = QianfanChatEndpoint(  # type: ignore[call-arg]
+        qianfan_ak="test-api-key",  # type: ignore[arg-type]
+        qianfan_sk="test-secret-key",  # type: ignore[arg-type]
     )
     print(chat.qianfan_ak, end="")  # noqa: T201
     captured = capsys.readouterr()
@@ -356,9 +356,9 @@ def test_qianfan_key_masked_when_passed_via_constructor(
 
 def test_uses_actual_secret_value_from_secret_str() -> None:
     """Test that actual secret is retrieved using `.get_secret_value()`."""
-    chat = QianfanChatEndpoint(
-        qianfan_ak="test-api-key",
-        qianfan_sk="test-secret-key",
+    chat = QianfanChatEndpoint(  # type: ignore[call-arg]
+        qianfan_ak="test-api-key",  # type: ignore[arg-type]
+        qianfan_sk="test-secret-key",  # type: ignore[arg-type]
     )
     assert cast(SecretStr, chat.qianfan_ak).get_secret_value() == "test-api-key"
     assert cast(SecretStr, chat.qianfan_sk).get_secret_value() == "test-secret-key"
diff --git a/libs/community/tests/integration_tests/chat_models/test_sparkllm.py b/libs/community/tests/integration_tests/chat_models/test_sparkllm.py
index df5357d8e7..1a94af7eb2 100644
--- a/libs/community/tests/integration_tests/chat_models/test_sparkllm.py
+++ b/libs/community/tests/integration_tests/chat_models/test_sparkllm.py
@@ -7,13 +7,13 @@ def test_initialization() -> None:
     """Test chat model initialization."""
     for model in [
         ChatSparkLLM(timeout=30),
-        ChatSparkLLM(request_timeout=30),
+        ChatSparkLLM(request_timeout=30),  # type: ignore[call-arg]
     ]:
         assert model.request_timeout == 30
 
 
 def test_chat_spark_llm() -> None:
-    chat = ChatSparkLLM()
+    chat = ChatSparkLLM()  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     assert isinstance(response, AIMessage)
@@ -21,14 +21,14 @@ def test_chat_spark_llm() -> None:
 
 
 def test_chat_spark_llm_streaming() -> None:
-    chat = ChatSparkLLM(streaming=True)
+    chat = ChatSparkLLM(streaming=True)  # type: ignore[call-arg]
     for chunk in chat.stream("Hello!"):
         assert isinstance(chunk, AIMessageChunk)
         assert isinstance(chunk.content, str)
 
 
 def test_chat_spark_llm_with_domain() -> None:
-    chat = ChatSparkLLM(spark_llm_domain="generalv3")
+    chat = ChatSparkLLM(spark_llm_domain="generalv3")  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     print(response)  # noqa: T201
@@ -37,7 +37,7 @@ def test_chat_spark_llm_with_domain() -> None:
 
 
 def test_chat_spark_llm_with_temperature() -> None:
-    chat = ChatSparkLLM(temperature=0.9, top_k=2)
+    chat = ChatSparkLLM(temperature=0.9, top_k=2)  # type: ignore[call-arg]
     message = HumanMessage(content="Hello")
     response = chat.invoke([message])
     print(response)  # noqa: T201
diff --git a/libs/community/tests/integration_tests/chat_models/test_tongyi.py b/libs/community/tests/integration_tests/chat_models/test_tongyi.py
index 3e0a8f9442..8961821fea 100644
--- a/libs/community/tests/integration_tests/chat_models/test_tongyi.py
+++ b/libs/community/tests/integration_tests/chat_models/test_tongyi.py
@@ -36,22 +36,22 @@ _FUNCTIONS: Any = [
 def test_initialization() -> None:
     """Test chat model initialization."""
     for model in [
-        ChatTongyi(model_name="qwen-turbo", api_key="xyz"),
-        ChatTongyi(model="qwen-turbo", dashscope_api_key="xyz"),
+        ChatTongyi(model_name="qwen-turbo", api_key="xyz"),  # type: ignore[arg-type, call-arg]
+        ChatTongyi(model="qwen-turbo", dashscope_api_key="xyz"),  # type: ignore[call-arg]
     ]:
         assert model.model_name == "qwen-turbo"
         assert cast(SecretStr, model.dashscope_api_key).get_secret_value() == "xyz"
 
 
 def test_api_key_is_string() -> None:
-    llm = ChatTongyi(dashscope_api_key="secret-api-key")
+    llm = ChatTongyi(dashscope_api_key="secret-api-key")  # type: ignore[call-arg]
     assert isinstance(llm.dashscope_api_key, SecretStr)
 
 
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = ChatTongyi(dashscope_api_key="secret-api-key")
+    llm = ChatTongyi(dashscope_api_key="secret-api-key")  # type: ignore[call-arg]
     print(llm.dashscope_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -60,7 +60,7 @@ def test_api_key_masked_when_passed_via_constructor(
 
 def test_default_call() -> None:
     """Test default model call."""
-    chat = ChatTongyi()
+    chat = ChatTongyi()  # type: ignore[call-arg]
     response = chat.invoke([HumanMessage(content="Hello")])
     assert isinstance(response, BaseMessage)
     assert isinstance(response.content, str)
@@ -68,20 +68,20 @@ def test_default_call() -> None:
 
 def test_model() -> None:
     """Test model kwarg works."""
-    chat = ChatTongyi(model="qwen-plus")
+    chat = ChatTongyi(model="qwen-plus")  # type: ignore[call-arg]
     response = chat.invoke([HumanMessage(content="Hello")])
     assert isinstance(response, BaseMessage)
     assert isinstance(response.content, str)
 
 
 def test_functions_call_thoughts() -> None:
-    chat = ChatTongyi(model="qwen-plus")
+    chat = ChatTongyi(model="qwen-plus")  # type: ignore[call-arg]
 
     prompt_tmpl = "Use the given functions to answer following question: {input}"
     prompt_msgs = [
         HumanMessagePromptTemplate.from_template(prompt_tmpl),
     ]
-    prompt = ChatPromptTemplate(messages=prompt_msgs)
+    prompt = ChatPromptTemplate(messages=prompt_msgs)  # type: ignore[arg-type, call-arg]
 
     chain = prompt | chat.bind(functions=_FUNCTIONS)
 
@@ -93,7 +93,7 @@ def test_functions_call_thoughts() -> None:
 
 def test_multiple_history() -> None:
     """Tests multiple history works."""
-    chat = ChatTongyi()
+    chat = ChatTongyi()  # type: ignore[call-arg]
 
     response = chat.invoke(
         [
@@ -108,7 +108,7 @@ def test_multiple_history() -> None:
 
 def test_stream() -> None:
     """Test that stream works."""
-    chat = ChatTongyi(streaming=True)
+    chat = ChatTongyi(streaming=True)  # type: ignore[call-arg]
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
     response = chat.invoke(
@@ -126,7 +126,7 @@ def test_stream() -> None:
 
 def test_multiple_messages() -> None:
     """Tests multiple messages works."""
-    chat = ChatTongyi()
+    chat = ChatTongyi()  # type: ignore[call-arg]
     message = HumanMessage(content="Hi, how are you.")
     response = chat.generate([[message], [message]])
 
diff --git a/libs/community/tests/integration_tests/chat_models/test_vertexai.py b/libs/community/tests/integration_tests/chat_models/test_vertexai.py
index 235d3cfa8f..cca4349ea9 100644
--- a/libs/community/tests/integration_tests/chat_models/test_vertexai.py
+++ b/libs/community/tests/integration_tests/chat_models/test_vertexai.py
@@ -248,7 +248,7 @@ def test_vertexai_args_passed(stop: Optional[str]) -> None:
         mock_send_message = MagicMock(return_value=mock_response)
         mock_chat.send_message = mock_send_message
 
-        model = ChatVertexAI(**prompt_params)
+        model = ChatVertexAI(**prompt_params)  # type: ignore[arg-type]
         message = HumanMessage(content=user_prompt)
         if stop:
             response = model.invoke([message], stop=[stop])
diff --git a/libs/community/tests/integration_tests/chat_models/test_volcengine_maas.py b/libs/community/tests/integration_tests/chat_models/test_volcengine_maas.py
index 24002ec617..d236ae2251 100644
--- a/libs/community/tests/integration_tests/chat_models/test_volcengine_maas.py
+++ b/libs/community/tests/integration_tests/chat_models/test_volcengine_maas.py
@@ -10,7 +10,7 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 
 def test_default_call() -> None:
     """Test valid chat call to volc engine."""
-    chat = VolcEngineMaasChat()
+    chat = VolcEngineMaasChat()  # type: ignore[call-arg]
     response = chat.invoke([HumanMessage(content="Hello")])
     assert isinstance(response, BaseMessage)
     assert isinstance(response.content, str)
@@ -18,7 +18,7 @@ def test_default_call() -> None:
 
 def test_multiple_history() -> None:
     """Tests multiple history works."""
-    chat = VolcEngineMaasChat()
+    chat = VolcEngineMaasChat()  # type: ignore[call-arg]
 
     response = chat.invoke(
         [
@@ -33,7 +33,7 @@ def test_multiple_history() -> None:
 
 def test_stream() -> None:
     """Test that stream works."""
-    chat = VolcEngineMaasChat(streaming=True)
+    chat = VolcEngineMaasChat(streaming=True)  # type: ignore[call-arg]
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
     response = chat.invoke(
@@ -51,7 +51,7 @@ def test_stream() -> None:
 
 def test_stop() -> None:
     """Test that stop works."""
-    chat = VolcEngineMaasChat(
+    chat = VolcEngineMaasChat(  # type: ignore[call-arg]
         model="skylark2-pro-4k", model_version="1.2", streaming=True
     )
     callback_handler = FakeCallbackHandler()
@@ -73,7 +73,7 @@ def test_stop() -> None:
 
 def test_multiple_messages() -> None:
     """Tests multiple messages works."""
-    chat = VolcEngineMaasChat()
+    chat = VolcEngineMaasChat()  # type: ignore[call-arg]
     message = HumanMessage(content="Hi, how are you?")
     response = chat.generate([[message], [message]])
 
diff --git a/libs/community/tests/integration_tests/chat_models/test_yuan2.py b/libs/community/tests/integration_tests/chat_models/test_yuan2.py
index 53678016e1..07329ea409 100644
--- a/libs/community/tests/integration_tests/chat_models/test_yuan2.py
+++ b/libs/community/tests/integration_tests/chat_models/test_yuan2.py
@@ -16,7 +16,7 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 @pytest.mark.scheduled
 def test_chat_yuan2() -> None:
     """Test ChatYuan2 wrapper."""
-    chat = ChatYuan2(
+    chat = ChatYuan2(  # type: ignore[call-arg]
         yuan2_api_key="EMPTY",
         yuan2_api_base="http://127.0.0.1:8001/v1",
         temperature=1.0,
@@ -34,7 +34,7 @@ def test_chat_yuan2() -> None:
 
 def test_chat_yuan2_system_message() -> None:
     """Test ChatYuan2 wrapper with system message."""
-    chat = ChatYuan2(
+    chat = ChatYuan2(  # type: ignore[call-arg]
         yuan2_api_key="EMPTY",
         yuan2_api_base="http://127.0.0.1:8001/v1",
         temperature=1.0,
@@ -54,7 +54,7 @@ def test_chat_yuan2_system_message() -> None:
 @pytest.mark.scheduled
 def test_chat_yuan2_generate() -> None:
     """Test ChatYuan2 wrapper with generate."""
-    chat = ChatYuan2(
+    chat = ChatYuan2(  # type: ignore[call-arg]
         yuan2_api_key="EMPTY",
         yuan2_api_base="http://127.0.0.1:8001/v1",
         temperature=1.0,
@@ -82,7 +82,7 @@ def test_chat_yuan2_streaming() -> None:
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
 
-    chat = ChatYuan2(
+    chat = ChatYuan2(  # type: ignore[call-arg]
         yuan2_api_key="EMPTY",
         yuan2_api_base="http://127.0.0.1:8001/v1",
         temperature=1.0,
@@ -102,7 +102,7 @@ def test_chat_yuan2_streaming() -> None:
 @pytest.mark.asyncio
 async def test_async_chat_yuan2() -> None:
     """Test async generation."""
-    chat = ChatYuan2(
+    chat = ChatYuan2(  # type: ignore[call-arg]
         yuan2_api_key="EMPTY",
         yuan2_api_base="http://127.0.0.1:8001/v1",
         temperature=1.0,
@@ -129,7 +129,7 @@ async def test_async_chat_yuan2_streaming() -> None:
     callback_handler = FakeCallbackHandler()
     callback_manager = CallbackManager([callback_handler])
 
-    chat = ChatYuan2(
+    chat = ChatYuan2(  # type: ignore[call-arg]
         yuan2_api_key="EMPTY",
         yuan2_api_base="http://127.0.0.1:8001/v1",
         temperature=1.0,
diff --git a/libs/community/tests/integration_tests/embeddings/test_awa.py b/libs/community/tests/integration_tests/embeddings/test_awa.py
index 68a71085cd..68b044baba 100644
--- a/libs/community/tests/integration_tests/embeddings/test_awa.py
+++ b/libs/community/tests/integration_tests/embeddings/test_awa.py
@@ -5,7 +5,7 @@ from langchain_community.embeddings.awa import AwaEmbeddings
 def test_awa_embedding_documents() -> None:
     """Test Awa embeddings for documents."""
     documents = ["foo bar", "test document"]
-    embedding = AwaEmbeddings()
+    embedding = AwaEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 2
     assert len(output[0]) == 768
@@ -14,6 +14,6 @@ def test_awa_embedding_documents() -> None:
 def test_awa_embedding_query() -> None:
     """Test Awa embeddings for query."""
     document = "foo bar"
-    embedding = AwaEmbeddings()
+    embedding = AwaEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 768
diff --git a/libs/community/tests/integration_tests/embeddings/test_azure_openai.py b/libs/community/tests/integration_tests/embeddings/test_azure_openai.py
index ec1e5f4720..43deadf40e 100644
--- a/libs/community/tests/integration_tests/embeddings/test_azure_openai.py
+++ b/libs/community/tests/integration_tests/embeddings/test_azure_openai.py
@@ -17,7 +17,7 @@ DEPLOYMENT_NAME = os.environ.get(
 
 
 def _get_embeddings(**kwargs: Any) -> AzureOpenAIEmbeddings:
-    return AzureOpenAIEmbeddings(
+    return AzureOpenAIEmbeddings(  # type: ignore[call-arg]
         azure_deployment=DEPLOYMENT_NAME,
         api_version=OPENAI_API_VERSION,
         openai_api_base=OPENAI_API_BASE,
diff --git a/libs/community/tests/integration_tests/embeddings/test_baichuan.py b/libs/community/tests/integration_tests/embeddings/test_baichuan.py
index 7512b06058..b8f8e68bff 100644
--- a/libs/community/tests/integration_tests/embeddings/test_baichuan.py
+++ b/libs/community/tests/integration_tests/embeddings/test_baichuan.py
@@ -5,7 +5,7 @@ from langchain_community.embeddings.baichuan import BaichuanTextEmbeddings
 def test_baichuan_embedding_documents() -> None:
     """Test Baichuan Text Embedding for documents."""
     documents = ["今天天气不错", "今天阳光灿烂"]
-    embedding = BaichuanTextEmbeddings()
+    embedding = BaichuanTextEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 2  # type: ignore[arg-type]
     assert len(output[0]) == 1024  # type: ignore[index]
@@ -14,6 +14,6 @@ def test_baichuan_embedding_documents() -> None:
 def test_baichuan_embedding_query() -> None:
     """Test Baichuan Text Embedding for query."""
     document = "所有的小学生都会学过只因兔同笼问题。"
-    embedding = BaichuanTextEmbeddings()
+    embedding = BaichuanTextEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 1024  # type: ignore[arg-type]
diff --git a/libs/community/tests/integration_tests/embeddings/test_cohere.py b/libs/community/tests/integration_tests/embeddings/test_cohere.py
index 3ca7fd6f2c..d8e7e3d039 100644
--- a/libs/community/tests/integration_tests/embeddings/test_cohere.py
+++ b/libs/community/tests/integration_tests/embeddings/test_cohere.py
@@ -5,7 +5,7 @@ from langchain_community.embeddings.cohere import CohereEmbeddings
 def test_cohere_embedding_documents() -> None:
     """Test cohere embeddings."""
     documents = ["foo bar"]
-    embedding = CohereEmbeddings()
+    embedding = CohereEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 1
     assert len(output[0]) == 2048
@@ -14,6 +14,6 @@ def test_cohere_embedding_documents() -> None:
 def test_cohere_embedding_query() -> None:
     """Test cohere embeddings."""
     document = "foo bar"
-    embedding = CohereEmbeddings()
+    embedding = CohereEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 2048
diff --git a/libs/community/tests/integration_tests/embeddings/test_dashscope.py b/libs/community/tests/integration_tests/embeddings/test_dashscope.py
index 82e507c863..869f91ead8 100644
--- a/libs/community/tests/integration_tests/embeddings/test_dashscope.py
+++ b/libs/community/tests/integration_tests/embeddings/test_dashscope.py
@@ -7,7 +7,7 @@ from langchain_community.embeddings.dashscope import DashScopeEmbeddings
 def test_dashscope_embedding_documents() -> None:
     """Test dashscope embeddings."""
     documents = ["foo bar"]
-    embedding = DashScopeEmbeddings(model="text-embedding-v1")
+    embedding = DashScopeEmbeddings(model="text-embedding-v1")  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 1
     assert len(output[0]) == 1536
@@ -45,7 +45,7 @@ def test_dashscope_embedding_documents_multiple() -> None:
         "foo23",
         "foo24",
     ]
-    embedding = DashScopeEmbeddings(model="text-embedding-v1")
+    embedding = DashScopeEmbeddings(model="text-embedding-v1")  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 28
     assert len(output[0]) == 1536
@@ -56,7 +56,7 @@ def test_dashscope_embedding_documents_multiple() -> None:
 def test_dashscope_embedding_query() -> None:
     """Test dashscope embeddings."""
     document = "foo bar"
-    embedding = DashScopeEmbeddings(model="text-embedding-v1")
+    embedding = DashScopeEmbeddings(model="text-embedding-v1")  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 1536
 
@@ -66,7 +66,7 @@ def test_dashscope_embedding_with_empty_string() -> None:
     import dashscope
 
     document = ["", "abc"]
-    embedding = DashScopeEmbeddings(model="text-embedding-v1")
+    embedding = DashScopeEmbeddings(model="text-embedding-v1")  # type: ignore[call-arg]
     output = embedding.embed_documents(document)
     assert len(output) == 2
     assert len(output[0]) == 1536
diff --git a/libs/community/tests/integration_tests/embeddings/test_edenai.py b/libs/community/tests/integration_tests/embeddings/test_edenai.py
index f200e30d35..0b5bb1f835 100644
--- a/libs/community/tests/integration_tests/embeddings/test_edenai.py
+++ b/libs/community/tests/integration_tests/embeddings/test_edenai.py
@@ -6,7 +6,7 @@ from langchain_community.embeddings.edenai import EdenAiEmbeddings
 def test_edenai_embedding_documents() -> None:
     """Test edenai embeddings with openai."""
     documents = ["foo bar", "test text"]
-    embedding = EdenAiEmbeddings(provider="openai")
+    embedding = EdenAiEmbeddings(provider="openai")  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 2
     assert len(output[0]) == 1536
@@ -16,6 +16,6 @@ def test_edenai_embedding_documents() -> None:
 def test_edenai_embedding_query() -> None:
     """Test eden ai embeddings with google."""
     document = "foo bar"
-    embedding = EdenAiEmbeddings(provider="google")
+    embedding = EdenAiEmbeddings(provider="google")  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 768
diff --git a/libs/community/tests/integration_tests/embeddings/test_fastembed.py b/libs/community/tests/integration_tests/embeddings/test_fastembed.py
index 80215e9056..48595f7ee3 100644
--- a/libs/community/tests/integration_tests/embeddings/test_fastembed.py
+++ b/libs/community/tests/integration_tests/embeddings/test_fastembed.py
@@ -15,10 +15,10 @@ def test_fastembed_embedding_documents(
 ) -> None:
     """Test fastembed embeddings for documents."""
     documents = ["foo bar", "bar foo"]
-    embedding = FastEmbedEmbeddings(
+    embedding = FastEmbedEmbeddings(  # type: ignore[call-arg]
         model_name=model_name,
         max_length=max_length,
-        doc_embed_type=doc_embed_type,
+        doc_embed_type=doc_embed_type,  # type: ignore[arg-type]
         threads=threads,
     )
     output = embedding.embed_documents(documents)
@@ -33,7 +33,7 @@ def test_fastembed_embedding_documents(
 def test_fastembed_embedding_query(model_name: str, max_length: int) -> None:
     """Test fastembed embeddings for query."""
     document = "foo bar"
-    embedding = FastEmbedEmbeddings(model_name=model_name, max_length=max_length)
+    embedding = FastEmbedEmbeddings(model_name=model_name, max_length=max_length)  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 384
 
@@ -49,10 +49,10 @@ async def test_fastembed_async_embedding_documents(
 ) -> None:
     """Test fastembed embeddings for documents."""
     documents = ["foo bar", "bar foo"]
-    embedding = FastEmbedEmbeddings(
+    embedding = FastEmbedEmbeddings(  # type: ignore[call-arg]
         model_name=model_name,
         max_length=max_length,
-        doc_embed_type=doc_embed_type,
+        doc_embed_type=doc_embed_type,  # type: ignore[arg-type]
         threads=threads,
     )
     output = await embedding.aembed_documents(documents)
@@ -69,6 +69,6 @@ async def test_fastembed_async_embedding_query(
 ) -> None:
     """Test fastembed embeddings for query."""
     document = "foo bar"
-    embedding = FastEmbedEmbeddings(model_name=model_name, max_length=max_length)
+    embedding = FastEmbedEmbeddings(model_name=model_name, max_length=max_length)  # type: ignore[call-arg]
     output = await embedding.aembed_query(document)
     assert len(output) == 384
diff --git a/libs/community/tests/integration_tests/embeddings/test_google_palm.py b/libs/community/tests/integration_tests/embeddings/test_google_palm.py
index 047edc76e1..3481c0cfdc 100644
--- a/libs/community/tests/integration_tests/embeddings/test_google_palm.py
+++ b/libs/community/tests/integration_tests/embeddings/test_google_palm.py
@@ -9,7 +9,7 @@ from langchain_community.embeddings.google_palm import GooglePalmEmbeddings
 def test_google_palm_embedding_documents() -> None:
     """Test Google PaLM embeddings."""
     documents = ["foo bar"]
-    embedding = GooglePalmEmbeddings()
+    embedding = GooglePalmEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 1
     assert len(output[0]) == 768
@@ -18,7 +18,7 @@ def test_google_palm_embedding_documents() -> None:
 def test_google_palm_embedding_documents_multiple() -> None:
     """Test Google PaLM embeddings."""
     documents = ["foo bar", "bar foo", "foo"]
-    embedding = GooglePalmEmbeddings()
+    embedding = GooglePalmEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 3
     assert len(output[0]) == 768
@@ -29,6 +29,6 @@ def test_google_palm_embedding_documents_multiple() -> None:
 def test_google_palm_embedding_query() -> None:
     """Test Google PaLM embeddings."""
     document = "foo bar"
-    embedding = GooglePalmEmbeddings()
+    embedding = GooglePalmEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 768
diff --git a/libs/community/tests/integration_tests/embeddings/test_huggingface_hub.py b/libs/community/tests/integration_tests/embeddings/test_huggingface_hub.py
index 0a47d97f53..b6e3dc9e07 100644
--- a/libs/community/tests/integration_tests/embeddings/test_huggingface_hub.py
+++ b/libs/community/tests/integration_tests/embeddings/test_huggingface_hub.py
@@ -7,7 +7,7 @@ from langchain_community.embeddings import HuggingFaceHubEmbeddings
 def test_huggingfacehub_embedding_documents() -> None:
     """Test huggingfacehub embeddings."""
     documents = ["foo bar"]
-    embedding = HuggingFaceHubEmbeddings()
+    embedding = HuggingFaceHubEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 1
     assert len(output[0]) == 768
@@ -16,7 +16,7 @@ def test_huggingfacehub_embedding_documents() -> None:
 async def test_huggingfacehub_embedding_async_documents() -> None:
     """Test huggingfacehub embeddings."""
     documents = ["foo bar"]
-    embedding = HuggingFaceHubEmbeddings()
+    embedding = HuggingFaceHubEmbeddings()  # type: ignore[call-arg]
     output = await embedding.aembed_documents(documents)
     assert len(output) == 1
     assert len(output[0]) == 768
@@ -25,7 +25,7 @@ async def test_huggingfacehub_embedding_async_documents() -> None:
 def test_huggingfacehub_embedding_query() -> None:
     """Test huggingfacehub embeddings."""
     document = "foo bar"
-    embedding = HuggingFaceHubEmbeddings()
+    embedding = HuggingFaceHubEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 768
 
@@ -33,7 +33,7 @@ def test_huggingfacehub_embedding_query() -> None:
 async def test_huggingfacehub_embedding_async_query() -> None:
     """Test huggingfacehub embeddings."""
     document = "foo bar"
-    embedding = HuggingFaceHubEmbeddings()
+    embedding = HuggingFaceHubEmbeddings()  # type: ignore[call-arg]
     output = await embedding.aembed_query(document)
     assert len(output) == 768
 
@@ -42,4 +42,4 @@ def test_huggingfacehub_embedding_invalid_repo() -> None:
     """Test huggingfacehub embedding repo id validation."""
     # Only sentence-transformers models are currently supported.
     with pytest.raises(ValueError):
-        HuggingFaceHubEmbeddings(repo_id="allenai/specter")
+        HuggingFaceHubEmbeddings(repo_id="allenai/specter")  # type: ignore[call-arg]
diff --git a/libs/community/tests/integration_tests/embeddings/test_jina.py b/libs/community/tests/integration_tests/embeddings/test_jina.py
index 4c1dcca9b1..7d5633ca1c 100644
--- a/libs/community/tests/integration_tests/embeddings/test_jina.py
+++ b/libs/community/tests/integration_tests/embeddings/test_jina.py
@@ -5,7 +5,7 @@ from langchain_community.embeddings.jina import JinaEmbeddings
 def test_jina_embedding_documents() -> None:
     """Test jina embeddings for documents."""
     documents = ["foo bar", "bar foo"]
-    embedding = JinaEmbeddings()
+    embedding = JinaEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 2
     assert len(output[0]) == 512
@@ -14,6 +14,6 @@ def test_jina_embedding_documents() -> None:
 def test_jina_embedding_query() -> None:
     """Test jina embeddings for query."""
     document = "foo bar"
-    embedding = JinaEmbeddings()
+    embedding = JinaEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 512
diff --git a/libs/community/tests/integration_tests/embeddings/test_laser.py b/libs/community/tests/integration_tests/embeddings/test_laser.py
index b8bf9ab335..d5c20ab3cb 100644
--- a/libs/community/tests/integration_tests/embeddings/test_laser.py
+++ b/libs/community/tests/integration_tests/embeddings/test_laser.py
@@ -11,7 +11,7 @@ def test_laser_embedding_documents(lang: str) -> None:
     User warning is returned by LASER library implementation
     so will ignore in testing."""
     documents = ["hello", "world"]
-    embedding = LaserEmbeddings(lang=lang)
+    embedding = LaserEmbeddings(lang=lang)  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 2  # type: ignore[arg-type]
     assert len(output[0]) == 1024  # type: ignore[index]
@@ -24,6 +24,6 @@ def test_laser_embedding_query(lang: str) -> None:
     User warning is returned by LASER library implementation
     so will ignore in testing."""
     query = "hello world"
-    embedding = LaserEmbeddings(lang=lang)
+    embedding = LaserEmbeddings(lang=lang)  # type: ignore[call-arg]
     output = embedding.embed_query(query)
     assert len(output) == 1024
diff --git a/libs/community/tests/integration_tests/embeddings/test_llamacpp.py b/libs/community/tests/integration_tests/embeddings/test_llamacpp.py
index d604f8aa10..321a640756 100644
--- a/libs/community/tests/integration_tests/embeddings/test_llamacpp.py
+++ b/libs/community/tests/integration_tests/embeddings/test_llamacpp.py
@@ -31,7 +31,7 @@ def test_llamacpp_embedding_documents() -> None:
     """Test llamacpp embeddings."""
     documents = ["foo bar"]
     model_path = get_model()
-    embedding = LlamaCppEmbeddings(model_path=model_path)
+    embedding = LlamaCppEmbeddings(model_path=model_path)  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 1
     assert len(output[0]) == 512
@@ -41,6 +41,6 @@ def test_llamacpp_embedding_query() -> None:
     """Test llamacpp embeddings."""
     document = "foo bar"
     model_path = get_model()
-    embedding = LlamaCppEmbeddings(model_path=model_path)
+    embedding = LlamaCppEmbeddings(model_path=model_path)  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 512
diff --git a/libs/community/tests/integration_tests/embeddings/test_premai.py b/libs/community/tests/integration_tests/embeddings/test_premai.py
index f0848760bf..96218673e4 100644
--- a/libs/community/tests/integration_tests/embeddings/test_premai.py
+++ b/libs/community/tests/integration_tests/embeddings/test_premai.py
@@ -12,7 +12,7 @@ from langchain_community.embeddings.premai import PremAIEmbeddings
 
 @pytest.fixture
 def embedder() -> PremAIEmbeddings:
-    return PremAIEmbeddings(project_id=8, model="text-embedding-3-small")
+    return PremAIEmbeddings(project_id=8, model="text-embedding-3-small")  # type: ignore[call-arg]
 
 
 def test_prem_embedding_documents(embedder: PremAIEmbeddings) -> None:
diff --git a/libs/community/tests/integration_tests/embeddings/test_qianfan_endpoint.py b/libs/community/tests/integration_tests/embeddings/test_qianfan_endpoint.py
index c575f8475c..6361939f4b 100644
--- a/libs/community/tests/integration_tests/embeddings/test_qianfan_endpoint.py
+++ b/libs/community/tests/integration_tests/embeddings/test_qianfan_endpoint.py
@@ -6,7 +6,7 @@ from langchain_community.embeddings.baidu_qianfan_endpoint import (
 
 def test_embedding_multiple_documents() -> None:
     documents = ["foo", "bar"]
-    embedding = QianfanEmbeddingsEndpoint()
+    embedding = QianfanEmbeddingsEndpoint()  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 2
     assert len(output[0]) == 384
@@ -15,20 +15,20 @@ def test_embedding_multiple_documents() -> None:
 
 def test_embedding_query() -> None:
     query = "foo"
-    embedding = QianfanEmbeddingsEndpoint()
+    embedding = QianfanEmbeddingsEndpoint()  # type: ignore[call-arg]
     output = embedding.embed_query(query)
     assert len(output) == 384
 
 
 def test_model() -> None:
     documents = ["hi", "qianfan"]
-    embedding = QianfanEmbeddingsEndpoint(model="Embedding-V1")
+    embedding = QianfanEmbeddingsEndpoint(model="Embedding-V1")  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 2
 
 
 def test_rate_limit() -> None:
-    llm = QianfanEmbeddingsEndpoint(
+    llm = QianfanEmbeddingsEndpoint(  # type: ignore[call-arg]
         model="Embedding-V1", init_kwargs={"query_per_second": 2}
     )
     assert llm.client._client._rate_limiter._sync_limiter._query_per_second == 2
diff --git a/libs/community/tests/integration_tests/embeddings/test_self_hosted.py b/libs/community/tests/integration_tests/embeddings/test_self_hosted.py
index a270c2ce6b..4f84e8d877 100644
--- a/libs/community/tests/integration_tests/embeddings/test_self_hosted.py
+++ b/libs/community/tests/integration_tests/embeddings/test_self_hosted.py
@@ -77,7 +77,7 @@ def test_self_hosted_embedding_documents() -> None:
     """Test self-hosted huggingface instruct embeddings."""
     documents = ["foo bar"] * 2
     gpu = get_remote_instance()
-    embedding = SelfHostedEmbeddings(
+    embedding = SelfHostedEmbeddings(  # type: ignore[call-arg]
         model_load_fn=get_pipeline, hardware=gpu, inference_fn=inference_fn
     )
     output = embedding.embed_documents(documents)
@@ -89,7 +89,7 @@ def test_self_hosted_embedding_query() -> None:
     """Test self-hosted custom embeddings."""
     query = "foo bar"
     gpu = get_remote_instance()
-    embedding = SelfHostedEmbeddings(
+    embedding = SelfHostedEmbeddings(  # type: ignore[call-arg]
         model_load_fn=get_pipeline, hardware=gpu, inference_fn=inference_fn
     )
     output = embedding.embed_query(query)
diff --git a/libs/community/tests/integration_tests/embeddings/test_sparkllm.py b/libs/community/tests/integration_tests/embeddings/test_sparkllm.py
index b934e2e008..722b6ea8a7 100644
--- a/libs/community/tests/integration_tests/embeddings/test_sparkllm.py
+++ b/libs/community/tests/integration_tests/embeddings/test_sparkllm.py
@@ -17,7 +17,7 @@ def test_baichuan_embedding_documents() -> None:
         "understand and think, "
         "creating a better world with artificial intelligence."
     ]
-    embedding = SparkLLMTextEmbeddings()
+    embedding = SparkLLMTextEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 1  # type: ignore[arg-type]
     assert len(output[0]) == 2560  # type: ignore[index]
@@ -30,6 +30,6 @@ def test_baichuan_embedding_query() -> None:
         "first Artificial Intelligence open platform for Mobile Internet "
         "and intelligent hardware developers"
     )
-    embedding = SparkLLMTextEmbeddings()
+    embedding = SparkLLMTextEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 2560  # type: ignore[arg-type]
diff --git a/libs/community/tests/integration_tests/embeddings/test_volcano.py b/libs/community/tests/integration_tests/embeddings/test_volcano.py
index 7ef7ac33fa..3411681229 100644
--- a/libs/community/tests/integration_tests/embeddings/test_volcano.py
+++ b/libs/community/tests/integration_tests/embeddings/test_volcano.py
@@ -5,7 +5,7 @@ from langchain_community.embeddings import VolcanoEmbeddings
 def test_embedding_documents() -> None:
     """Test embeddings for documents."""
     documents = ["foo", "bar"]
-    embedding = VolcanoEmbeddings()
+    embedding = VolcanoEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 2
     assert len(output[0]) == 1024
@@ -14,6 +14,6 @@ def test_embedding_documents() -> None:
 def test_embedding_query() -> None:
     """Test embeddings for query."""
     document = "foo bar"
-    embedding = VolcanoEmbeddings()
+    embedding = VolcanoEmbeddings()  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 1024
diff --git a/libs/community/tests/integration_tests/embeddings/test_voyageai.py b/libs/community/tests/integration_tests/embeddings/test_voyageai.py
index c14c08c5db..8f48243188 100644
--- a/libs/community/tests/integration_tests/embeddings/test_voyageai.py
+++ b/libs/community/tests/integration_tests/embeddings/test_voyageai.py
@@ -8,7 +8,7 @@ MODEL = "voyage-2"
 def test_voyagi_embedding_documents() -> None:
     """Test voyage embeddings."""
     documents = ["foo bar"]
-    embedding = VoyageEmbeddings(model=MODEL)
+    embedding = VoyageEmbeddings(model=MODEL)  # type: ignore[call-arg]
     output = embedding.embed_documents(documents)
     assert len(output) == 1
     assert len(output[0]) == 1024
@@ -16,7 +16,7 @@ def test_voyagi_embedding_documents() -> None:
 
 def test_voyagi_with_default_model() -> None:
     """Test voyage embeddings."""
-    embedding = VoyageEmbeddings()
+    embedding = VoyageEmbeddings()  # type: ignore[call-arg]
     assert embedding.model == "voyage-01"
     assert embedding.batch_size == 7
     documents = [f"foo bar {i}" for i in range(72)]
@@ -40,6 +40,6 @@ def test_voyage_embedding_documents_multiple() -> None:
 def test_voyage_embedding_query() -> None:
     """Test voyage embeddings."""
     document = "foo bar"
-    embedding = VoyageEmbeddings(model=MODEL)
+    embedding = VoyageEmbeddings(model=MODEL)  # type: ignore[call-arg]
     output = embedding.embed_query(document)
     assert len(output) == 1024
diff --git a/libs/community/tests/integration_tests/llms/test_aleph_alpha.py b/libs/community/tests/integration_tests/llms/test_aleph_alpha.py
index 56d6aad2af..3ccafb99bb 100644
--- a/libs/community/tests/integration_tests/llms/test_aleph_alpha.py
+++ b/libs/community/tests/integration_tests/llms/test_aleph_alpha.py
@@ -5,6 +5,6 @@ from langchain_community.llms.aleph_alpha import AlephAlpha
 
 def test_aleph_alpha_call() -> None:
     """Test valid call to cohere."""
-    llm = AlephAlpha(maximum_tokens=10)
+    llm = AlephAlpha(maximum_tokens=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
diff --git a/libs/community/tests/integration_tests/llms/test_anthropic.py b/libs/community/tests/integration_tests/llms/test_anthropic.py
index d0e42eec5e..23dac7f9f4 100644
--- a/libs/community/tests/integration_tests/llms/test_anthropic.py
+++ b/libs/community/tests/integration_tests/llms/test_anthropic.py
@@ -17,20 +17,20 @@ def test_anthropic_model_name_param() -> None:
 
 @pytest.mark.requires("anthropic")
 def test_anthropic_model_param() -> None:
-    llm = Anthropic(model="foo")
+    llm = Anthropic(model="foo")  # type: ignore[call-arg]
     assert llm.model == "foo"
 
 
 def test_anthropic_call() -> None:
     """Test valid call to anthropic."""
-    llm = Anthropic(model="claude-instant-1")
+    llm = Anthropic(model="claude-instant-1")  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
 
 def test_anthropic_streaming() -> None:
     """Test streaming tokens from anthropic."""
-    llm = Anthropic(model="claude-instant-1")
+    llm = Anthropic(model="claude-instant-1")  # type: ignore[call-arg]
     generator = llm.stream("I'm Pickle Rick")
 
     assert isinstance(generator, Generator)
diff --git a/libs/community/tests/integration_tests/llms/test_azureml_endpoint.py b/libs/community/tests/integration_tests/llms/test_azureml_endpoint.py
index 3c4e61eb44..d6c0a9993d 100644
--- a/libs/community/tests/integration_tests/llms/test_azureml_endpoint.py
+++ b/libs/community/tests/integration_tests/llms/test_azureml_endpoint.py
@@ -22,9 +22,9 @@ from langchain_community.llms.loading import load_llm
 def test_gpt2_call() -> None:
     """Test valid call to GPT2."""
     llm = AzureMLOnlineEndpoint(
-        endpoint_api_key=os.getenv("OSS_ENDPOINT_API_KEY"),
-        endpoint_url=os.getenv("OSS_ENDPOINT_URL"),
-        deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),
+        endpoint_api_key=os.getenv("OSS_ENDPOINT_API_KEY"),  # type: ignore[arg-type]
+        endpoint_url=os.getenv("OSS_ENDPOINT_URL"),  # type: ignore[arg-type]
+        deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),  # type: ignore[arg-type]
         content_formatter=OSSContentFormatter(),
     )
     output = llm.invoke("Foo")
@@ -34,9 +34,9 @@ def test_gpt2_call() -> None:
 def test_hf_call() -> None:
     """Test valid call to HuggingFace Foundation Model."""
     llm = AzureMLOnlineEndpoint(
-        endpoint_api_key=os.getenv("HF_ENDPOINT_API_KEY"),
-        endpoint_url=os.getenv("HF_ENDPOINT_URL"),
-        deployment_name=os.getenv("HF_DEPLOYMENT_NAME"),
+        endpoint_api_key=os.getenv("HF_ENDPOINT_API_KEY"),  # type: ignore[arg-type]
+        endpoint_url=os.getenv("HF_ENDPOINT_URL"),  # type: ignore[arg-type]
+        deployment_name=os.getenv("HF_DEPLOYMENT_NAME"),  # type: ignore[arg-type]
         content_formatter=HFContentFormatter(),
     )
     output = llm.invoke("Foo")
@@ -46,9 +46,9 @@ def test_hf_call() -> None:
 def test_dolly_call() -> None:
     """Test valid call to dolly-v2."""
     llm = AzureMLOnlineEndpoint(
-        endpoint_api_key=os.getenv("DOLLY_ENDPOINT_API_KEY"),
-        endpoint_url=os.getenv("DOLLY_ENDPOINT_URL"),
-        deployment_name=os.getenv("DOLLY_DEPLOYMENT_NAME"),
+        endpoint_api_key=os.getenv("DOLLY_ENDPOINT_API_KEY"),  # type: ignore[arg-type]
+        endpoint_url=os.getenv("DOLLY_ENDPOINT_URL"),  # type: ignore[arg-type]
+        deployment_name=os.getenv("DOLLY_DEPLOYMENT_NAME"),  # type: ignore[arg-type]
         content_formatter=DollyContentFormatter(),
     )
     output = llm.invoke("Foo")
@@ -77,9 +77,9 @@ def test_custom_formatter() -> None:
             return response_json[0]["summary_text"]
 
     llm = AzureMLOnlineEndpoint(
-        endpoint_api_key=os.getenv("BART_ENDPOINT_API_KEY"),
-        endpoint_url=os.getenv("BART_ENDPOINT_URL"),
-        deployment_name=os.getenv("BART_DEPLOYMENT_NAME"),
+        endpoint_api_key=os.getenv("BART_ENDPOINT_API_KEY"),  # type: ignore[arg-type]
+        endpoint_url=os.getenv("BART_ENDPOINT_URL"),  # type: ignore[arg-type]
+        deployment_name=os.getenv("BART_DEPLOYMENT_NAME"),  # type: ignore[arg-type]
         content_formatter=CustomFormatter(),
     )
     output = llm.invoke("Foo")
@@ -90,9 +90,9 @@ def test_missing_content_formatter() -> None:
     """Test AzureML LLM without a content_formatter attribute"""
     with pytest.raises(AttributeError):
         llm = AzureMLOnlineEndpoint(
-            endpoint_api_key=os.getenv("OSS_ENDPOINT_API_KEY"),
-            endpoint_url=os.getenv("OSS_ENDPOINT_URL"),
-            deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),
+            endpoint_api_key=os.getenv("OSS_ENDPOINT_API_KEY"),  # type: ignore[arg-type]
+            endpoint_url=os.getenv("OSS_ENDPOINT_URL"),  # type: ignore[arg-type]
+            deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),  # type: ignore[arg-type]
         )
         llm.invoke("Foo")
 
@@ -119,9 +119,9 @@ def test_invalid_request_format() -> None:
 
     with pytest.raises(HTTPError):
         llm = AzureMLOnlineEndpoint(
-            endpoint_api_key=os.getenv("OSS_ENDPOINT_API_KEY"),
-            endpoint_url=os.getenv("OSS_ENDPOINT_URL"),
-            deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),
+            endpoint_api_key=os.getenv("OSS_ENDPOINT_API_KEY"),  # type: ignore[arg-type]
+            endpoint_url=os.getenv("OSS_ENDPOINT_URL"),  # type: ignore[arg-type]
+            deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),  # type: ignore[arg-type]
             content_formatter=CustomContentFormatter(),
         )
         llm.invoke("Foo")
@@ -131,9 +131,9 @@ def test_incorrect_url() -> None:
     """Testing AzureML Endpoint for an incorrect URL"""
     with pytest.raises(ValidationError):
         llm = AzureMLOnlineEndpoint(
-            endpoint_api_key=os.getenv("OSS_ENDPOINT_API_KEY"),
+            endpoint_api_key=os.getenv("OSS_ENDPOINT_API_KEY"),  # type: ignore[arg-type]
             endpoint_url="https://endpoint.inference.com",
-            deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),
+            deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),  # type: ignore[arg-type]
             content_formatter=OSSContentFormatter(),
         )
         llm.invoke("Foo")
@@ -142,10 +142,10 @@ def test_incorrect_url() -> None:
 def test_incorrect_api_type() -> None:
     with pytest.raises(ValidationError):
         llm = AzureMLOnlineEndpoint(
-            endpoint_api_key=os.getenv("OSS_ENDPOINT_API_KEY"),
-            endpoint_url=os.getenv("OSS_ENDPOINT_URL"),
-            deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),
-            endpoint_api_type="serverless",
+            endpoint_api_key=os.getenv("OSS_ENDPOINT_API_KEY"),  # type: ignore[arg-type]
+            endpoint_url=os.getenv("OSS_ENDPOINT_URL"),  # type: ignore[arg-type]
+            deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),  # type: ignore[arg-type]
+            endpoint_api_type="serverless",  # type: ignore[arg-type]
             content_formatter=OSSContentFormatter(),
         )
         llm.invoke("Foo")
@@ -155,9 +155,9 @@ def test_incorrect_key() -> None:
     """Testing AzureML Endpoint for incorrect key"""
     with pytest.raises(HTTPError):
         llm = AzureMLOnlineEndpoint(
-            endpoint_api_key="incorrect-key",
-            endpoint_url=os.getenv("OSS_ENDPOINT_URL"),
-            deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),
+            endpoint_api_key="incorrect-key",  # type: ignore[arg-type]
+            endpoint_url=os.getenv("OSS_ENDPOINT_URL"),  # type: ignore[arg-type]
+            deployment_name=os.getenv("OSS_DEPLOYMENT_NAME"),  # type: ignore[arg-type]
             content_formatter=OSSContentFormatter(),
         )
         llm.invoke("Foo")
diff --git a/libs/community/tests/integration_tests/llms/test_baseten.py b/libs/community/tests/integration_tests/llms/test_baseten.py
index 692e34790e..dc282eb859 100644
--- a/libs/community/tests/integration_tests/llms/test_baseten.py
+++ b/libs/community/tests/integration_tests/llms/test_baseten.py
@@ -8,6 +8,6 @@ from langchain_community.llms.baseten import Baseten
 
 def test_baseten_call() -> None:
     """Test valid call to Baseten."""
-    llm = Baseten(model=os.environ["BASETEN_MODEL_ID"])
+    llm = Baseten(model=os.environ["BASETEN_MODEL_ID"])  # type: ignore[call-arg]
     output = llm.invoke("Test prompt, please respond.")
     assert isinstance(output, str)
diff --git a/libs/community/tests/integration_tests/llms/test_beam.py b/libs/community/tests/integration_tests/llms/test_beam.py
index 952c70ebe6..92a96770dd 100644
--- a/libs/community/tests/integration_tests/llms/test_beam.py
+++ b/libs/community/tests/integration_tests/llms/test_beam.py
@@ -8,7 +8,7 @@ def test_beam_call() -> None:
     llm = Beam(
         model_name="gpt2",
         name="langchain-gpt2",
-        cpu=8,
+        cpu=8,  # type: ignore[arg-type]
         memory="32Gi",
         gpu="A10G",
         python_version="python3.8",
diff --git a/libs/community/tests/integration_tests/llms/test_cerebriumai.py b/libs/community/tests/integration_tests/llms/test_cerebriumai.py
index 5a33141c0a..90c3829670 100644
--- a/libs/community/tests/integration_tests/llms/test_cerebriumai.py
+++ b/libs/community/tests/integration_tests/llms/test_cerebriumai.py
@@ -5,6 +5,6 @@ from langchain_community.llms.cerebriumai import CerebriumAI
 
 def test_cerebriumai_call() -> None:
     """Test valid call to cerebriumai."""
-    llm = CerebriumAI(max_length=10)
+    llm = CerebriumAI(max_length=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
diff --git a/libs/community/tests/integration_tests/llms/test_cohere.py b/libs/community/tests/integration_tests/llms/test_cohere.py
index 2ccb86e770..5fad016491 100644
--- a/libs/community/tests/integration_tests/llms/test_cohere.py
+++ b/libs/community/tests/integration_tests/llms/test_cohere.py
@@ -12,7 +12,7 @@ from tests.integration_tests.llms.utils import assert_llm_equality
 
 def test_cohere_call() -> None:
     """Test valid call to cohere."""
-    llm = Cohere(max_tokens=10)
+    llm = Cohere(max_tokens=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
@@ -20,16 +20,16 @@ def test_cohere_call() -> None:
 def test_cohere_api_key(monkeypatch: MonkeyPatch) -> None:
     """Test that cohere api key is a secret key."""
     # test initialization from init
-    assert isinstance(Cohere(cohere_api_key="1").cohere_api_key, SecretStr)
+    assert isinstance(Cohere(cohere_api_key="1").cohere_api_key, SecretStr)  # type: ignore[arg-type, call-arg]
 
     # test initialization from env variable
     monkeypatch.setenv("COHERE_API_KEY", "secret-api-key")
-    assert isinstance(Cohere().cohere_api_key, SecretStr)
+    assert isinstance(Cohere().cohere_api_key, SecretStr)  # type: ignore[call-arg]
 
 
 def test_saving_loading_llm(tmp_path: Path) -> None:
     """Test saving/loading an Cohere LLM."""
-    llm = Cohere(max_tokens=10)
+    llm = Cohere(max_tokens=10)  # type: ignore[call-arg]
     llm.save(file_path=tmp_path / "cohere.yaml")
     loaded_llm = load_llm(tmp_path / "cohere.yaml")
     assert_llm_equality(llm, loaded_llm)
diff --git a/libs/community/tests/integration_tests/llms/test_forefrontai.py b/libs/community/tests/integration_tests/llms/test_forefrontai.py
index a71c726b2c..d99e194d85 100644
--- a/libs/community/tests/integration_tests/llms/test_forefrontai.py
+++ b/libs/community/tests/integration_tests/llms/test_forefrontai.py
@@ -5,6 +5,6 @@ from langchain_community.llms.forefrontai import ForefrontAI
 
 def test_forefrontai_call() -> None:
     """Test valid call to forefrontai."""
-    llm = ForefrontAI(length=10)
+    llm = ForefrontAI(length=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
diff --git a/libs/community/tests/integration_tests/llms/test_google_palm.py b/libs/community/tests/integration_tests/llms/test_google_palm.py
index bd052d91ac..9fc2442f05 100644
--- a/libs/community/tests/integration_tests/llms/test_google_palm.py
+++ b/libs/community/tests/integration_tests/llms/test_google_palm.py
@@ -22,9 +22,9 @@ model_names = [None, "models/text-bison-001", "gemini-pro"]
 def test_google_generativeai_call(model_name: str) -> None:
     """Test valid call to Google GenerativeAI text API."""
     if model_name:
-        llm = GooglePalm(max_output_tokens=10, model_name=model_name)
+        llm = GooglePalm(max_output_tokens=10, model_name=model_name)  # type: ignore[call-arg]
     else:
-        llm = GooglePalm(max_output_tokens=10)
+        llm = GooglePalm(max_output_tokens=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
     assert llm._llm_type == "google_palm"
@@ -41,9 +41,9 @@ def test_google_generativeai_call(model_name: str) -> None:
 def test_google_generativeai_generate(model_name: str) -> None:
     n = 1 if model_name == "gemini-pro" else 2
     if model_name:
-        llm = GooglePalm(temperature=0.3, n=n, model_name=model_name)
+        llm = GooglePalm(temperature=0.3, n=n, model_name=model_name)  # type: ignore[call-arg]
     else:
-        llm = GooglePalm(temperature=0.3, n=n)
+        llm = GooglePalm(temperature=0.3, n=n)  # type: ignore[call-arg]
     output = llm.generate(["Say foo:"])
     assert isinstance(output, LLMResult)
     assert len(output.generations) == 1
@@ -51,26 +51,26 @@ def test_google_generativeai_generate(model_name: str) -> None:
 
 
 def test_google_generativeai_get_num_tokens() -> None:
-    llm = GooglePalm()
+    llm = GooglePalm()  # type: ignore[call-arg]
     output = llm.get_num_tokens("How are you?")
     assert output == 4
 
 
 async def test_google_generativeai_agenerate() -> None:
-    llm = GooglePalm(temperature=0, model_name="gemini-pro")
+    llm = GooglePalm(temperature=0, model_name="gemini-pro")  # type: ignore[call-arg]
     output = await llm.agenerate(["Please say foo:"])
     assert isinstance(output, LLMResult)
 
 
 def test_generativeai_stream() -> None:
-    llm = GooglePalm(temperature=0, model_name="gemini-pro")
+    llm = GooglePalm(temperature=0, model_name="gemini-pro")  # type: ignore[call-arg]
     outputs = list(llm.stream("Please say foo:"))
     assert isinstance(outputs[0], str)
 
 
 def test_saving_loading_llm(tmp_path: Path) -> None:
     """Test saving/loading a Google PaLM LLM."""
-    llm = GooglePalm(max_output_tokens=10)
+    llm = GooglePalm(max_output_tokens=10)  # type: ignore[call-arg]
     llm.save(file_path=tmp_path / "google_palm.yaml")
     loaded_llm = load_llm(tmp_path / "google_palm.yaml")
     assert loaded_llm == llm
diff --git a/libs/community/tests/integration_tests/llms/test_gooseai.py b/libs/community/tests/integration_tests/llms/test_gooseai.py
index 7c890f459a..13ee8b79d4 100644
--- a/libs/community/tests/integration_tests/llms/test_gooseai.py
+++ b/libs/community/tests/integration_tests/llms/test_gooseai.py
@@ -5,14 +5,14 @@ from langchain_community.llms.gooseai import GooseAI
 
 def test_gooseai_call() -> None:
     """Test valid call to gooseai."""
-    llm = GooseAI(max_tokens=10)
+    llm = GooseAI(max_tokens=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
 
 def test_gooseai_call_fairseq() -> None:
     """Test valid call to gooseai with fairseq model."""
-    llm = GooseAI(model_name="fairseq-1-3b", max_tokens=10)
+    llm = GooseAI(model_name="fairseq-1-3b", max_tokens=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
@@ -20,9 +20,9 @@ def test_gooseai_call_fairseq() -> None:
 def test_gooseai_stop_valid() -> None:
     """Test gooseai stop logic on valid configuration."""
     query = "write an ordered list of five items"
-    first_llm = GooseAI(stop="3", temperature=0)
+    first_llm = GooseAI(stop="3", temperature=0)  # type: ignore[call-arg]
     first_output = first_llm.invoke(query)
-    second_llm = GooseAI(temperature=0)
+    second_llm = GooseAI(temperature=0)  # type: ignore[call-arg]
     second_output = second_llm.invoke(query, stop=["3"])
     # Because it stops on new lines, shouldn't return anything
     assert first_output == second_output
diff --git a/libs/community/tests/integration_tests/llms/test_huggingface_endpoint.py b/libs/community/tests/integration_tests/llms/test_huggingface_endpoint.py
index 1945c271c8..6b409eaf14 100644
--- a/libs/community/tests/integration_tests/llms/test_huggingface_endpoint.py
+++ b/libs/community/tests/integration_tests/llms/test_huggingface_endpoint.py
@@ -11,14 +11,14 @@ from tests.integration_tests.llms.utils import assert_llm_equality
 
 def test_huggingface_endpoint_call_error() -> None:
     """Test valid call to HuggingFace that errors."""
-    llm = HuggingFaceEndpoint(endpoint_url="", model_kwargs={"max_new_tokens": -1})
+    llm = HuggingFaceEndpoint(endpoint_url="", model_kwargs={"max_new_tokens": -1})  # type: ignore[call-arg]
     with pytest.raises(ValueError):
         llm.invoke("Say foo:")
 
 
 def test_saving_loading_endpoint_llm(tmp_path: Path) -> None:
     """Test saving/loading an HuggingFaceHub LLM."""
-    llm = HuggingFaceEndpoint(
+    llm = HuggingFaceEndpoint(  # type: ignore[call-arg]
         endpoint_url="", task="text-generation", model_kwargs={"max_new_tokens": 10}
     )
     llm.save(file_path=tmp_path / "hf.yaml")
@@ -28,7 +28,7 @@ def test_saving_loading_endpoint_llm(tmp_path: Path) -> None:
 
 def test_huggingface_text_generation() -> None:
     """Test valid call to HuggingFace text generation model."""
-    llm = HuggingFaceEndpoint(repo_id="gpt2", model_kwargs={"max_new_tokens": 10})
+    llm = HuggingFaceEndpoint(repo_id="gpt2", model_kwargs={"max_new_tokens": 10})  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     print(output)  # noqa: T201
     assert isinstance(output, str)
@@ -36,35 +36,35 @@ def test_huggingface_text_generation() -> None:
 
 def test_huggingface_text2text_generation() -> None:
     """Test valid call to HuggingFace text2text model."""
-    llm = HuggingFaceEndpoint(repo_id="google/flan-t5-xl")
+    llm = HuggingFaceEndpoint(repo_id="google/flan-t5-xl")  # type: ignore[call-arg]
     output = llm.invoke("The capital of New York is")
     assert output == "Albany"
 
 
 def test_huggingface_summarization() -> None:
     """Test valid call to HuggingFace summarization model."""
-    llm = HuggingFaceEndpoint(repo_id="facebook/bart-large-cnn")
+    llm = HuggingFaceEndpoint(repo_id="facebook/bart-large-cnn")  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
 
 def test_huggingface_call_error() -> None:
     """Test valid call to HuggingFace that errors."""
-    llm = HuggingFaceEndpoint(repo_id="gpt2", model_kwargs={"max_new_tokens": -1})
+    llm = HuggingFaceEndpoint(repo_id="gpt2", model_kwargs={"max_new_tokens": -1})  # type: ignore[call-arg]
     with pytest.raises(ValueError):
         llm.invoke("Say foo:")
 
 
 def test_saving_loading_llm(tmp_path: Path) -> None:
     """Test saving/loading an HuggingFaceEndpoint LLM."""
-    llm = HuggingFaceEndpoint(repo_id="gpt2", model_kwargs={"max_new_tokens": 10})
+    llm = HuggingFaceEndpoint(repo_id="gpt2", model_kwargs={"max_new_tokens": 10})  # type: ignore[call-arg]
     llm.save(file_path=tmp_path / "hf.yaml")
     loaded_llm = load_llm(tmp_path / "hf.yaml")
     assert_llm_equality(llm, loaded_llm)
 
 
 def test_invocation_params_stop_sequences() -> None:
-    llm = HuggingFaceEndpoint()
+    llm = HuggingFaceEndpoint()  # type: ignore[call-arg]
     assert llm._default_params["stop_sequences"] == []
 
     runtime_stop = None
@@ -75,7 +75,7 @@ def test_invocation_params_stop_sequences() -> None:
     assert llm._invocation_params(runtime_stop)["stop_sequences"] == ["stop"]
     assert llm._default_params["stop_sequences"] == []
 
-    llm = HuggingFaceEndpoint(stop_sequences=["."])
+    llm = HuggingFaceEndpoint(stop_sequences=["."])  # type: ignore[call-arg]
     runtime_stop = ["stop"]
     assert llm._invocation_params(runtime_stop)["stop_sequences"] == [".", "stop"]
     assert llm._default_params["stop_sequences"] == ["."]
diff --git a/libs/community/tests/integration_tests/llms/test_huggingface_hub.py b/libs/community/tests/integration_tests/llms/test_huggingface_hub.py
index 999f92ad41..678c9c7a80 100644
--- a/libs/community/tests/integration_tests/llms/test_huggingface_hub.py
+++ b/libs/community/tests/integration_tests/llms/test_huggingface_hub.py
@@ -11,35 +11,35 @@ from tests.integration_tests.llms.utils import assert_llm_equality
 
 def test_huggingface_text_generation() -> None:
     """Test valid call to HuggingFace text generation model."""
-    llm = HuggingFaceHub(repo_id="gpt2", model_kwargs={"max_new_tokens": 10})
+    llm = HuggingFaceHub(repo_id="gpt2", model_kwargs={"max_new_tokens": 10})  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
 
 def test_huggingface_text2text_generation() -> None:
     """Test valid call to HuggingFace text2text model."""
-    llm = HuggingFaceHub(repo_id="google/flan-t5-xl")
+    llm = HuggingFaceHub(repo_id="google/flan-t5-xl")  # type: ignore[call-arg]
     output = llm.invoke("The capital of New York is")
     assert output == "Albany"
 
 
 def test_huggingface_summarization() -> None:
     """Test valid call to HuggingFace summarization model."""
-    llm = HuggingFaceHub(repo_id="facebook/bart-large-cnn")
+    llm = HuggingFaceHub(repo_id="facebook/bart-large-cnn")  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
 
 def test_huggingface_call_error() -> None:
     """Test valid call to HuggingFace that errors."""
-    llm = HuggingFaceHub(model_kwargs={"max_new_tokens": -1})
+    llm = HuggingFaceHub(model_kwargs={"max_new_tokens": -1})  # type: ignore[call-arg]
     with pytest.raises(ValueError):
         llm.invoke("Say foo:")
 
 
 def test_saving_loading_llm(tmp_path: Path) -> None:
     """Test saving/loading an HuggingFaceHub LLM."""
-    llm = HuggingFaceHub(repo_id="gpt2", model_kwargs={"max_new_tokens": 10})
+    llm = HuggingFaceHub(repo_id="gpt2", model_kwargs={"max_new_tokens": 10})  # type: ignore[call-arg]
     llm.save(file_path=tmp_path / "hf.yaml")
     loaded_llm = load_llm(tmp_path / "hf.yaml")
     assert_llm_equality(llm, loaded_llm)
diff --git a/libs/community/tests/integration_tests/llms/test_layerup_security.py b/libs/community/tests/integration_tests/llms/test_layerup_security.py
index 91176a13a8..d475d774c7 100644
--- a/libs/community/tests/integration_tests/llms/test_layerup_security.py
+++ b/libs/community/tests/integration_tests/llms/test_layerup_security.py
@@ -24,7 +24,7 @@ class MockLLM(LLM):
 
 def test_layerup_security_with_invalid_api_key() -> None:
     mock_llm = MockLLM()
-    layerup_security = LayerupSecurity(
+    layerup_security = LayerupSecurity(  # type: ignore[call-arg]
         llm=mock_llm,
         layerup_api_key="-- invalid API key --",
         layerup_api_base_url="https://api.uselayerup.com/v1",
diff --git a/libs/community/tests/integration_tests/llms/test_minimax.py b/libs/community/tests/integration_tests/llms/test_minimax.py
index cc7a33fb17..87bd8b7bc5 100644
--- a/libs/community/tests/integration_tests/llms/test_minimax.py
+++ b/libs/community/tests/integration_tests/llms/test_minimax.py
@@ -4,14 +4,14 @@ from langchain_community.llms.minimax import Minimax
 
 def test_minimax_call() -> None:
     """Test valid call to minimax."""
-    llm = Minimax(max_tokens=10)
+    llm = Minimax(max_tokens=10)  # type: ignore[call-arg]
     output = llm.invoke("Hello world!")
     assert isinstance(output, str)
 
 
 def test_minimax_call_successful() -> None:
     """Test valid call to minimax."""
-    llm = Minimax()
+    llm = Minimax()  # type: ignore[call-arg]
     output = llm.invoke(
         "A chain is a serial assembly of connected pieces, called links, \
         typically made of metal, with an overall character similar to that\
diff --git a/libs/community/tests/integration_tests/llms/test_nlpcloud.py b/libs/community/tests/integration_tests/llms/test_nlpcloud.py
index 6a4635b254..85a67e3be6 100644
--- a/libs/community/tests/integration_tests/llms/test_nlpcloud.py
+++ b/libs/community/tests/integration_tests/llms/test_nlpcloud.py
@@ -13,14 +13,14 @@ from tests.integration_tests.llms.utils import assert_llm_equality
 
 def test_nlpcloud_call() -> None:
     """Test valid call to nlpcloud."""
-    llm = NLPCloud(max_length=10)
+    llm = NLPCloud(max_length=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
 
 def test_saving_loading_llm(tmp_path: Path) -> None:
     """Test saving/loading an NLPCloud LLM."""
-    llm = NLPCloud(max_length=10)
+    llm = NLPCloud(max_length=10)  # type: ignore[call-arg]
     llm.save(file_path=tmp_path / "nlpcloud.yaml")
     loaded_llm = load_llm(tmp_path / "nlpcloud.yaml")
     assert_llm_equality(llm, loaded_llm)
@@ -29,10 +29,10 @@ def test_saving_loading_llm(tmp_path: Path) -> None:
 def test_nlpcloud_api_key(monkeypatch: MonkeyPatch, capsys: CaptureFixture) -> None:
     """Test that nlpcloud api key is a secret key."""
     # test initialization from init
-    assert isinstance(NLPCloud(nlpcloud_api_key="1").nlpcloud_api_key, SecretStr)
+    assert isinstance(NLPCloud(nlpcloud_api_key="1").nlpcloud_api_key, SecretStr)  # type: ignore[arg-type, call-arg]
 
     monkeypatch.setenv("NLPCLOUD_API_KEY", "secret-api-key")
-    llm = NLPCloud()
+    llm = NLPCloud()  # type: ignore[call-arg]
     assert isinstance(llm.nlpcloud_api_key, SecretStr)
 
     assert cast(SecretStr, llm.nlpcloud_api_key).get_secret_value() == "secret-api-key"
diff --git a/libs/community/tests/integration_tests/llms/test_opaqueprompts.py b/libs/community/tests/integration_tests/llms/test_opaqueprompts.py
index 7749000aa2..e13bc33c36 100644
--- a/libs/community/tests/integration_tests/llms/test_opaqueprompts.py
+++ b/libs/community/tests/integration_tests/llms/test_opaqueprompts.py
@@ -43,7 +43,7 @@ Question: ```{question}```
 
 
 def test_opaqueprompts() -> None:
-    chain = PromptTemplate.from_template(prompt_template) | OpaquePrompts(llm=OpenAI())
+    chain = PromptTemplate.from_template(prompt_template) | OpaquePrompts(llm=OpenAI())  # type: ignore[call-arg]
     output = chain.invoke(
         {
             "question": "Write a text message to remind John to do password reset \
diff --git a/libs/community/tests/integration_tests/llms/test_openai.py b/libs/community/tests/integration_tests/llms/test_openai.py
index 1c8d1c37a4..4355805eec 100644
--- a/libs/community/tests/integration_tests/llms/test_openai.py
+++ b/libs/community/tests/integration_tests/llms/test_openai.py
@@ -33,7 +33,7 @@ def test_openai_llm_output_contains_model_name() -> None:
 def test_openai_stop_valid() -> None:
     """Test openai stop logic on valid configuration."""
     query = "write an ordered list of five items"
-    first_llm = OpenAI(stop="3", temperature=0)
+    first_llm = OpenAI(stop="3", temperature=0)  # type: ignore[call-arg]
     first_output = first_llm.invoke(query)
     second_llm = OpenAI(temperature=0)
     second_output = second_llm.invoke(query, stop=["3"])
@@ -43,7 +43,7 @@ def test_openai_stop_valid() -> None:
 
 def test_openai_stop_error() -> None:
     """Test openai stop logic on bad configuration."""
-    llm = OpenAI(stop="3", temperature=0)
+    llm = OpenAI(stop="3", temperature=0)  # type: ignore[call-arg]
     with pytest.raises(ValueError):
         llm.invoke("write an ordered list of five items", stop=["\n"])
 
diff --git a/libs/community/tests/integration_tests/llms/test_openlm.py b/libs/community/tests/integration_tests/llms/test_openlm.py
index a567a37440..d318185ddc 100644
--- a/libs/community/tests/integration_tests/llms/test_openlm.py
+++ b/libs/community/tests/integration_tests/llms/test_openlm.py
@@ -3,6 +3,6 @@ from langchain_community.llms.openlm import OpenLM
 
 def test_openlm_call() -> None:
     """Test valid call to openlm."""
-    llm = OpenLM(model_name="dolly-v2-7b", max_tokens=10)
+    llm = OpenLM(model_name="dolly-v2-7b", max_tokens=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
diff --git a/libs/community/tests/integration_tests/llms/test_pai_eas_endpoint.py b/libs/community/tests/integration_tests/llms/test_pai_eas_endpoint.py
index e8476bd2a1..1543e5ac56 100644
--- a/libs/community/tests/integration_tests/llms/test_pai_eas_endpoint.py
+++ b/libs/community/tests/integration_tests/llms/test_pai_eas_endpoint.py
@@ -8,8 +8,8 @@ from langchain_community.llms.pai_eas_endpoint import PaiEasEndpoint
 def test_pai_eas_v1_call() -> None:
     """Test valid call to PAI-EAS Service."""
     llm = PaiEasEndpoint(
-        eas_service_url=os.getenv("EAS_SERVICE_URL"),
-        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),
+        eas_service_url=os.getenv("EAS_SERVICE_URL"),  # type: ignore[arg-type]
+        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),  # type: ignore[arg-type]
         version="1.0",
     )
     output = llm.invoke("Say foo:")
@@ -18,8 +18,8 @@ def test_pai_eas_v1_call() -> None:
 
 def test_pai_eas_v2_call() -> None:
     llm = PaiEasEndpoint(
-        eas_service_url=os.getenv("EAS_SERVICE_URL"),
-        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),
+        eas_service_url=os.getenv("EAS_SERVICE_URL"),  # type: ignore[arg-type]
+        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),  # type: ignore[arg-type]
         version="2.0",
     )
     output = llm.invoke("Say foo:")
@@ -29,8 +29,8 @@ def test_pai_eas_v2_call() -> None:
 def test_pai_eas_v1_streaming() -> None:
     """Test streaming call to PAI-EAS Service."""
     llm = PaiEasEndpoint(
-        eas_service_url=os.getenv("EAS_SERVICE_URL"),
-        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),
+        eas_service_url=os.getenv("EAS_SERVICE_URL"),  # type: ignore[arg-type]
+        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),  # type: ignore[arg-type]
         version="1.0",
     )
     generator = llm.stream("Q: How do you say 'hello' in German? A:'", stop=["."])
@@ -45,8 +45,8 @@ def test_pai_eas_v1_streaming() -> None:
 
 def test_pai_eas_v2_streaming() -> None:
     llm = PaiEasEndpoint(
-        eas_service_url=os.getenv("EAS_SERVICE_URL"),
-        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),
+        eas_service_url=os.getenv("EAS_SERVICE_URL"),  # type: ignore[arg-type]
+        eas_service_token=os.getenv("EAS_SERVICE_TOKEN"),  # type: ignore[arg-type]
         version="2.0",
     )
     generator = llm.stream("Q: How do you say 'hello' in German? A:'", stop=["."])
diff --git a/libs/community/tests/integration_tests/llms/test_petals.py b/libs/community/tests/integration_tests/llms/test_petals.py
index d1af2aaed0..82a7857ec0 100644
--- a/libs/community/tests/integration_tests/llms/test_petals.py
+++ b/libs/community/tests/integration_tests/llms/test_petals.py
@@ -7,14 +7,14 @@ from langchain_community.llms.petals import Petals
 
 
 def test_api_key_is_string() -> None:
-    llm = Petals(huggingface_api_key="secret-api-key")
+    llm = Petals(huggingface_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     assert isinstance(llm.huggingface_api_key, SecretStr)
 
 
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = Petals(huggingface_api_key="secret-api-key")
+    llm = Petals(huggingface_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     print(llm.huggingface_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -23,6 +23,6 @@ def test_api_key_masked_when_passed_via_constructor(
 
 def test_gooseai_call() -> None:
     """Test valid call to gooseai."""
-    llm = Petals(max_new_tokens=10)
+    llm = Petals(max_new_tokens=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
diff --git a/libs/community/tests/integration_tests/llms/test_predictionguard.py b/libs/community/tests/integration_tests/llms/test_predictionguard.py
index fbe47e7499..77db6645bc 100644
--- a/libs/community/tests/integration_tests/llms/test_predictionguard.py
+++ b/libs/community/tests/integration_tests/llms/test_predictionguard.py
@@ -5,6 +5,6 @@ from langchain_community.llms.predictionguard import PredictionGuard
 
 def test_predictionguard_call() -> None:
     """Test valid call to prediction guard."""
-    llm = PredictionGuard(model="OpenAI-text-davinci-003")
+    llm = PredictionGuard(model="OpenAI-text-davinci-003")  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
diff --git a/libs/community/tests/integration_tests/llms/test_promptlayer_openai.py b/libs/community/tests/integration_tests/llms/test_promptlayer_openai.py
index 430a899643..be99142d78 100644
--- a/libs/community/tests/integration_tests/llms/test_promptlayer_openai.py
+++ b/libs/community/tests/integration_tests/llms/test_promptlayer_openai.py
@@ -11,7 +11,7 @@ from langchain_community.llms.promptlayer_openai import PromptLayerOpenAI
 
 def test_promptlayer_openai_call() -> None:
     """Test valid call to promptlayer openai."""
-    llm = PromptLayerOpenAI(max_tokens=10)
+    llm = PromptLayerOpenAI(max_tokens=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
@@ -19,25 +19,25 @@ def test_promptlayer_openai_call() -> None:
 def test_promptlayer_openai_extra_kwargs() -> None:
     """Test extra kwargs to promptlayer openai."""
     # Check that foo is saved in extra_kwargs.
-    llm = PromptLayerOpenAI(foo=3, max_tokens=10)
+    llm = PromptLayerOpenAI(foo=3, max_tokens=10)  # type: ignore[call-arg]
     assert llm.max_tokens == 10
     assert llm.model_kwargs == {"foo": 3}
 
     # Test that if extra_kwargs are provided, they are added to it.
-    llm = PromptLayerOpenAI(foo=3, model_kwargs={"bar": 2})
+    llm = PromptLayerOpenAI(foo=3, model_kwargs={"bar": 2})  # type: ignore[call-arg]
     assert llm.model_kwargs == {"foo": 3, "bar": 2}
 
     # Test that if provided twice it errors
     with pytest.raises(ValueError):
-        PromptLayerOpenAI(foo=3, model_kwargs={"foo": 2})
+        PromptLayerOpenAI(foo=3, model_kwargs={"foo": 2})  # type: ignore[call-arg]
 
 
 def test_promptlayer_openai_stop_valid() -> None:
     """Test promptlayer openai stop logic on valid configuration."""
     query = "write an ordered list of five items"
-    first_llm = PromptLayerOpenAI(stop="3", temperature=0)
+    first_llm = PromptLayerOpenAI(stop="3", temperature=0)  # type: ignore[call-arg]
     first_output = first_llm.invoke(query)
-    second_llm = PromptLayerOpenAI(temperature=0)
+    second_llm = PromptLayerOpenAI(temperature=0)  # type: ignore[call-arg]
     second_output = second_llm.invoke(query, stop=["3"])
     # Because it stops on new lines, shouldn't return anything
     assert first_output == second_output
@@ -45,14 +45,14 @@ def test_promptlayer_openai_stop_valid() -> None:
 
 def test_promptlayer_openai_stop_error() -> None:
     """Test promptlayer openai stop logic on bad configuration."""
-    llm = PromptLayerOpenAI(stop="3", temperature=0)
+    llm = PromptLayerOpenAI(stop="3", temperature=0)  # type: ignore[call-arg]
     with pytest.raises(ValueError):
         llm.invoke("write an ordered list of five items", stop=["\n"])
 
 
 def test_saving_loading_llm(tmp_path: Path) -> None:
     """Test saving/loading an promptlayer OpenAPI LLM."""
-    llm = PromptLayerOpenAI(max_tokens=10)
+    llm = PromptLayerOpenAI(max_tokens=10)  # type: ignore[call-arg]
     llm.save(file_path=tmp_path / "openai.yaml")
     loaded_llm = load_llm(tmp_path / "openai.yaml")
     assert loaded_llm == llm
@@ -60,7 +60,7 @@ def test_saving_loading_llm(tmp_path: Path) -> None:
 
 def test_promptlayer_openai_streaming() -> None:
     """Test streaming tokens from promptalyer OpenAI."""
-    llm = PromptLayerOpenAI(max_tokens=10)
+    llm = PromptLayerOpenAI(max_tokens=10)  # type: ignore[call-arg]
     generator = llm.stream("I'm Pickle Rick")
 
     assert isinstance(generator, Generator)
diff --git a/libs/community/tests/integration_tests/llms/test_propmptlayer_openai_chat.py b/libs/community/tests/integration_tests/llms/test_propmptlayer_openai_chat.py
index 4a1c91d276..2e3cbfe841 100644
--- a/libs/community/tests/integration_tests/llms/test_propmptlayer_openai_chat.py
+++ b/libs/community/tests/integration_tests/llms/test_propmptlayer_openai_chat.py
@@ -10,7 +10,7 @@ from langchain_community.llms.promptlayer_openai import PromptLayerOpenAIChat
 
 def test_promptlayer_openai_chat_call() -> None:
     """Test valid call to promptlayer openai."""
-    llm = PromptLayerOpenAIChat(max_tokens=10)
+    llm = PromptLayerOpenAIChat(max_tokens=10)  # type: ignore[call-arg]
     output = llm.invoke("Say foo:")
     assert isinstance(output, str)
 
@@ -18,9 +18,9 @@ def test_promptlayer_openai_chat_call() -> None:
 def test_promptlayer_openai_chat_stop_valid() -> None:
     """Test promptlayer openai stop logic on valid configuration."""
     query = "write an ordered list of five items"
-    first_llm = PromptLayerOpenAIChat(stop="3", temperature=0)
+    first_llm = PromptLayerOpenAIChat(stop="3", temperature=0)  # type: ignore[call-arg]
     first_output = first_llm.invoke(query)
-    second_llm = PromptLayerOpenAIChat(temperature=0)
+    second_llm = PromptLayerOpenAIChat(temperature=0)  # type: ignore[call-arg]
     second_output = second_llm.invoke(query, stop=["3"])
     # Because it stops on new lines, shouldn't return anything
     assert first_output == second_output
@@ -28,14 +28,14 @@ def test_promptlayer_openai_chat_stop_valid() -> None:
 
 def test_promptlayer_openai_chat_stop_error() -> None:
     """Test promptlayer openai stop logic on bad configuration."""
-    llm = PromptLayerOpenAIChat(stop="3", temperature=0)
+    llm = PromptLayerOpenAIChat(stop="3", temperature=0)  # type: ignore[call-arg]
     with pytest.raises(ValueError):
         llm.invoke("write an ordered list of five items", stop=["\n"])
 
 
 def test_saving_loading_llm(tmp_path: Path) -> None:
     """Test saving/loading an promptlayer OpenAPI LLM."""
-    llm = PromptLayerOpenAIChat(max_tokens=10)
+    llm = PromptLayerOpenAIChat(max_tokens=10)  # type: ignore[call-arg]
     llm.save(file_path=tmp_path / "openai.yaml")
     loaded_llm = load_llm(tmp_path / "openai.yaml")
     assert loaded_llm == llm
diff --git a/libs/community/tests/integration_tests/llms/test_qianfan_endpoint.py b/libs/community/tests/integration_tests/llms/test_qianfan_endpoint.py
index 576c6ab9e4..fcc476fdec 100644
--- a/libs/community/tests/integration_tests/llms/test_qianfan_endpoint.py
+++ b/libs/community/tests/integration_tests/llms/test_qianfan_endpoint.py
@@ -8,14 +8,14 @@ from langchain_community.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint
 
 def test_call() -> None:
     """Test valid call to qianfan."""
-    llm = QianfanLLMEndpoint()
+    llm = QianfanLLMEndpoint()  # type: ignore[call-arg]
     output = llm.invoke("write a joke")
     assert isinstance(output, str)
 
 
 def test_generate() -> None:
     """Test valid call to qianfan."""
-    llm = QianfanLLMEndpoint()
+    llm = QianfanLLMEndpoint()  # type: ignore[call-arg]
     output = llm.generate(["write a joke"])
     assert isinstance(output, LLMResult)
     assert isinstance(output.generations, list)
@@ -23,20 +23,20 @@ def test_generate() -> None:
 
 def test_generate_stream() -> None:
     """Test valid call to qianfan."""
-    llm = QianfanLLMEndpoint()
+    llm = QianfanLLMEndpoint()  # type: ignore[call-arg]
     output = llm.stream("write a joke")
     assert isinstance(output, Generator)
 
 
 async def test_qianfan_aio() -> None:
-    llm = QianfanLLMEndpoint(streaming=True)
+    llm = QianfanLLMEndpoint(streaming=True)  # type: ignore[call-arg]
 
     async for token in llm.astream("hi qianfan."):
         assert isinstance(token, str)
 
 
 def test_rate_limit() -> None:
-    llm = QianfanLLMEndpoint(model="ERNIE-Bot", init_kwargs={"query_per_second": 2})
+    llm = QianfanLLMEndpoint(model="ERNIE-Bot", init_kwargs={"query_per_second": 2})  # type: ignore[call-arg]
     assert llm.client._client._rate_limiter._sync_limiter._query_per_second == 2
     output = llm.generate(["write a joke"])
     assert isinstance(output, LLMResult)
diff --git a/libs/community/tests/integration_tests/llms/test_replicate.py b/libs/community/tests/integration_tests/llms/test_replicate.py
index 13a20ae9ee..fa58bd19c2 100644
--- a/libs/community/tests/integration_tests/llms/test_replicate.py
+++ b/libs/community/tests/integration_tests/llms/test_replicate.py
@@ -29,11 +29,11 @@ def test_replicate_streaming_call() -> None:
 
 def test_replicate_model_kwargs() -> None:
     """Test simple non-streaming call to Replicate."""
-    llm = Replicate(
+    llm = Replicate(  # type: ignore[call-arg]
         model=TEST_MODEL, model_kwargs={"max_length": 100, "temperature": 0.01}
     )
     long_output = llm.invoke("What is LangChain")
-    llm = Replicate(
+    llm = Replicate(  # type: ignore[call-arg]
         model=TEST_MODEL, model_kwargs={"max_length": 10, "temperature": 0.01}
     )
     short_output = llm.invoke("What is LangChain")
diff --git a/libs/community/tests/integration_tests/llms/test_symblai_nebula.py b/libs/community/tests/integration_tests/llms/test_symblai_nebula.py
index b1b2eb3b53..ea0a9f8764 100644
--- a/libs/community/tests/integration_tests/llms/test_symblai_nebula.py
+++ b/libs/community/tests/integration_tests/llms/test_symblai_nebula.py
@@ -34,7 +34,7 @@ Sam: Perfect! Let's keep the momentum going. Reach out if there are any
 sudden issues or support needed. Have a productive day!
 Alex: You too.
 Rhea: Thanks, bye!"""
-    llm = Nebula(nebula_api_key="<your_api_key>")
+    llm = Nebula(nebula_api_key="<your_api_key>")  # type: ignore[arg-type]
 
     instruction = """Identify the main objectives mentioned in this 
 conversation."""
diff --git a/libs/community/tests/integration_tests/llms/test_tongyi.py b/libs/community/tests/integration_tests/llms/test_tongyi.py
index 04c6e2e997..923be81441 100644
--- a/libs/community/tests/integration_tests/llms/test_tongyi.py
+++ b/libs/community/tests/integration_tests/llms/test_tongyi.py
@@ -7,14 +7,14 @@ from langchain_community.llms.tongyi import Tongyi
 
 def test_tongyi_call() -> None:
     """Test valid call to tongyi."""
-    llm = Tongyi()
+    llm = Tongyi()  # type: ignore[call-arg]
     output = llm.invoke("who are you")
     assert isinstance(output, str)
 
 
 def test_tongyi_generate() -> None:
     """Test valid call to tongyi."""
-    llm = Tongyi()
+    llm = Tongyi()  # type: ignore[call-arg]
     output = llm.generate(["who are you"])
     assert isinstance(output, LLMResult)
     assert isinstance(output.generations, list)
@@ -22,7 +22,7 @@ def test_tongyi_generate() -> None:
 
 def test_tongyi_generate_stream() -> None:
     """Test valid call to tongyi."""
-    llm = Tongyi(streaming=True)
+    llm = Tongyi(streaming=True)  # type: ignore[call-arg]
     output = llm.generate(["who are you"])
     print(output)  # noqa: T201
     assert isinstance(output, LLMResult)
diff --git a/libs/community/tests/integration_tests/llms/test_volcengine_maas.py b/libs/community/tests/integration_tests/llms/test_volcengine_maas.py
index b2af4e1d6f..7cf3e29081 100644
--- a/libs/community/tests/integration_tests/llms/test_volcengine_maas.py
+++ b/libs/community/tests/integration_tests/llms/test_volcengine_maas.py
@@ -13,9 +13,9 @@ from langchain_community.llms.volcengine_maas import (
 
 
 def test_api_key_is_string() -> None:
-    llm = VolcEngineMaasBase(
-        volc_engine_maas_ak="secret-volc-ak",
-        volc_engine_maas_sk="secret-volc-sk",
+    llm = VolcEngineMaasBase(  # type: ignore[call-arg]
+        volc_engine_maas_ak="secret-volc-ak",  # type: ignore[arg-type]
+        volc_engine_maas_sk="secret-volc-sk",  # type: ignore[arg-type]
     )
     assert isinstance(llm.volc_engine_maas_ak, SecretStr)
     assert isinstance(llm.volc_engine_maas_sk, SecretStr)
@@ -24,9 +24,9 @@ def test_api_key_is_string() -> None:
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = VolcEngineMaasBase(
-        volc_engine_maas_ak="secret-volc-ak",
-        volc_engine_maas_sk="secret-volc-sk",
+    llm = VolcEngineMaasBase(  # type: ignore[call-arg]
+        volc_engine_maas_ak="secret-volc-ak",  # type: ignore[arg-type]
+        volc_engine_maas_sk="secret-volc-sk",  # type: ignore[arg-type]
     )
     print(llm.volc_engine_maas_ak, end="")  # noqa: T201
     captured = capsys.readouterr()
@@ -36,14 +36,14 @@ def test_api_key_masked_when_passed_via_constructor(
 
 def test_default_call() -> None:
     """Test valid call to volc engine."""
-    llm = VolcEngineMaasLLM()
+    llm = VolcEngineMaasLLM()  # type: ignore[call-arg]
     output = llm.invoke("tell me a joke")
     assert isinstance(output, str)
 
 
 def test_generate() -> None:
     """Test valid call to volc engine."""
-    llm = VolcEngineMaasLLM()
+    llm = VolcEngineMaasLLM()  # type: ignore[call-arg]
     output = llm.generate(["tell me a joke"])
     assert isinstance(output, LLMResult)
     assert isinstance(output.generations, list)
@@ -51,6 +51,6 @@ def test_generate() -> None:
 
 def test_generate_stream() -> None:
     """Test valid call to volc engine."""
-    llm = VolcEngineMaasLLM(streaming=True)
+    llm = VolcEngineMaasLLM(streaming=True)  # type: ignore[call-arg]
     output = llm.stream("tell me a joke")
     assert isinstance(output, Generator)
diff --git a/libs/community/tests/integration_tests/retrievers/docarray/test_backends.py b/libs/community/tests/integration_tests/retrievers/docarray/test_backends.py
index 2e41bfc44f..1747971d16 100644
--- a/libs/community/tests/integration_tests/retrievers/docarray/test_backends.py
+++ b/libs/community/tests/integration_tests/retrievers/docarray/test_backends.py
@@ -56,7 +56,7 @@ def test_backends(request: Any, backend: Any) -> None:
         index=index,
         embeddings=embeddings,
         search_field="title_embedding",
-        search_type="mmr",
+        search_type="mmr",  # type: ignore[arg-type]
         content_field="title",
         filters=filter_query,
     )
diff --git a/libs/community/tests/integration_tests/retrievers/test_arxiv.py b/libs/community/tests/integration_tests/retrievers/test_arxiv.py
index c2cda25aa0..3f885df431 100644
--- a/libs/community/tests/integration_tests/retrievers/test_arxiv.py
+++ b/libs/community/tests/integration_tests/retrievers/test_arxiv.py
@@ -9,7 +9,7 @@ from langchain_community.retrievers import ArxivRetriever
 
 @pytest.fixture
 def retriever() -> ArxivRetriever:
-    return ArxivRetriever()
+    return ArxivRetriever()  # type: ignore[call-arg]
 
 
 def assert_docs(docs: List[Document], all_meta: bool = False) -> None:
@@ -39,7 +39,7 @@ def test_load_success_all_meta(retriever: ArxivRetriever) -> None:
 
 
 def test_load_success_init_args() -> None:
-    retriever = ArxivRetriever(load_max_docs=1, load_all_available_meta=True)
+    retriever = ArxivRetriever(load_max_docs=1, load_all_available_meta=True)  # type: ignore[call-arg]
     docs = retriever.invoke("ChatGPT")
     assert len(docs) == 1
     assert_docs(docs, all_meta=True)
diff --git a/libs/community/tests/integration_tests/retrievers/test_pubmed.py b/libs/community/tests/integration_tests/retrievers/test_pubmed.py
index a13bba31e5..7d67c58481 100644
--- a/libs/community/tests/integration_tests/retrievers/test_pubmed.py
+++ b/libs/community/tests/integration_tests/retrievers/test_pubmed.py
@@ -9,7 +9,7 @@ from langchain_community.retrievers import PubMedRetriever
 
 @pytest.fixture
 def retriever() -> PubMedRetriever:
-    return PubMedRetriever()
+    return PubMedRetriever()  # type: ignore[call-arg]
 
 
 def assert_docs(docs: List[Document]) -> None:
diff --git a/libs/community/tests/integration_tests/retrievers/test_weaviate_hybrid_search.py b/libs/community/tests/integration_tests/retrievers/test_weaviate_hybrid_search.py
index 2e80347f80..c59c8130b3 100644
--- a/libs/community/tests/integration_tests/retrievers/test_weaviate_hybrid_search.py
+++ b/libs/community/tests/integration_tests/retrievers/test_weaviate_hybrid_search.py
@@ -27,7 +27,7 @@ class TestWeaviateHybridSearchRetriever:
             raise ValueError("OPENAI_API_KEY environment variable is not set")
 
     @pytest.fixture(scope="class", autouse=True)
-    def weaviate_url(self) -> Union[str, Generator[str, None, None]]:
+    def weaviate_url(self) -> Union[str, Generator[str, None, None]]:  # type: ignore[return]
         """Return the weaviate url."""
         from weaviate import Client
 
diff --git a/libs/community/tests/integration_tests/retrievers/test_wikipedia.py b/libs/community/tests/integration_tests/retrievers/test_wikipedia.py
index 2388ad4fe5..4b3b1be761 100644
--- a/libs/community/tests/integration_tests/retrievers/test_wikipedia.py
+++ b/libs/community/tests/integration_tests/retrievers/test_wikipedia.py
@@ -9,7 +9,7 @@ from langchain_community.retrievers import WikipediaRetriever
 
 @pytest.fixture
 def retriever() -> WikipediaRetriever:
-    return WikipediaRetriever()
+    return WikipediaRetriever()  # type: ignore[call-arg]
 
 
 def assert_docs(docs: List[Document], all_meta: bool = False) -> None:
@@ -40,7 +40,7 @@ def test_load_success_all_meta(retriever: WikipediaRetriever) -> None:
 
 
 def test_load_success_init_args() -> None:
-    retriever = WikipediaRetriever(
+    retriever = WikipediaRetriever(  # type: ignore[call-arg]
         lang="en", top_k_results=1, load_all_available_meta=True
     )
     docs = retriever.invoke("HUNTER X HUNTER")
@@ -49,7 +49,7 @@ def test_load_success_init_args() -> None:
 
 
 def test_load_success_init_args_more() -> None:
-    retriever = WikipediaRetriever(
+    retriever = WikipediaRetriever(  # type: ignore[call-arg]
         lang="en", top_k_results=20, load_all_available_meta=False
     )
     docs = retriever.invoke("HUNTER X HUNTER")
diff --git a/libs/community/tests/integration_tests/retrievers/test_zep.py b/libs/community/tests/integration_tests/retrievers/test_zep.py
index 195cfd31d2..a8ecd28032 100644
--- a/libs/community/tests/integration_tests/retrievers/test_zep.py
+++ b/libs/community/tests/integration_tests/retrievers/test_zep.py
@@ -67,7 +67,7 @@ def zep_retriever(
     mock_zep_client.memory.asearch_memory.return_value = copy.deepcopy(  # type: ignore
         search_results
     )
-    zep = ZepRetriever(session_id="123", url="http://localhost:8000")
+    zep = ZepRetriever(session_id="123", url="http://localhost:8000")  # type: ignore[call-arg]
     zep.zep_client = mock_zep_client
     return zep
 
diff --git a/libs/community/tests/integration_tests/tools/edenai/test_audio_speech_to_text.py b/libs/community/tests/integration_tests/tools/edenai/test_audio_speech_to_text.py
index 000fc669cf..24c8e57727 100644
--- a/libs/community/tests/integration_tests/tools/edenai/test_audio_speech_to_text.py
+++ b/libs/community/tests/integration_tests/tools/edenai/test_audio_speech_to_text.py
@@ -13,7 +13,7 @@ from langchain_community.tools.edenai import EdenAiSpeechToTextTool
 
 def test_edenai_call() -> None:
     """Test simple call to edenai's speech to text endpoint."""
-    speech2text = EdenAiSpeechToTextTool(providers=["amazon"])
+    speech2text = EdenAiSpeechToTextTool(providers=["amazon"])  # type: ignore[call-arg]
 
     output = speech2text.invoke(
         "https://audio-samples.github.io/samples/mp3/blizzard_unconditional/sample-0.mp3"
diff --git a/libs/community/tests/integration_tests/tools/edenai/test_audio_text_to_speech.py b/libs/community/tests/integration_tests/tools/edenai/test_audio_text_to_speech.py
index 31c42ccf42..1052f9bab3 100644
--- a/libs/community/tests/integration_tests/tools/edenai/test_audio_text_to_speech.py
+++ b/libs/community/tests/integration_tests/tools/edenai/test_audio_text_to_speech.py
@@ -15,7 +15,7 @@ from langchain_community.tools.edenai import EdenAiTextToSpeechTool
 
 def test_edenai_call() -> None:
     """Test simple call to edenai's text to speech endpoint."""
-    text2speech = EdenAiTextToSpeechTool(
+    text2speech = EdenAiTextToSpeechTool(  # type: ignore[call-arg]
         providers=["amazon"], language="en", voice="MALE"
     )
 
diff --git a/libs/community/tests/integration_tests/tools/edenai/test_image_explicitcontent.py b/libs/community/tests/integration_tests/tools/edenai/test_image_explicitcontent.py
index 9f76ebdc9b..11a16d261a 100644
--- a/libs/community/tests/integration_tests/tools/edenai/test_image_explicitcontent.py
+++ b/libs/community/tests/integration_tests/tools/edenai/test_image_explicitcontent.py
@@ -13,7 +13,7 @@ from langchain_community.tools.edenai import EdenAiExplicitImageTool
 
 def test_edenai_call() -> None:
     """Test simple call to edenai's image moderation endpoint."""
-    image_moderation = EdenAiExplicitImageTool(providers=["amazon"])
+    image_moderation = EdenAiExplicitImageTool(providers=["amazon"])  # type: ignore[call-arg]
 
     output = image_moderation.invoke("https://static.javatpoint.com/images/objects.jpg")
 
diff --git a/libs/community/tests/integration_tests/tools/edenai/test_image_objectdetection.py b/libs/community/tests/integration_tests/tools/edenai/test_image_objectdetection.py
index d68b019304..197fa9956f 100644
--- a/libs/community/tests/integration_tests/tools/edenai/test_image_objectdetection.py
+++ b/libs/community/tests/integration_tests/tools/edenai/test_image_objectdetection.py
@@ -13,7 +13,7 @@ from langchain_community.tools.edenai import EdenAiObjectDetectionTool
 
 def test_edenai_call() -> None:
     """Test simple call to edenai's object detection endpoint."""
-    object_detection = EdenAiObjectDetectionTool(providers=["google"])
+    object_detection = EdenAiObjectDetectionTool(providers=["google"])  # type: ignore[call-arg]
 
     output = object_detection.invoke("https://static.javatpoint.com/images/objects.jpg")
 
diff --git a/libs/community/tests/integration_tests/tools/edenai/test_ocr_identityparser.py b/libs/community/tests/integration_tests/tools/edenai/test_ocr_identityparser.py
index c0234a673f..30b03632d1 100644
--- a/libs/community/tests/integration_tests/tools/edenai/test_ocr_identityparser.py
+++ b/libs/community/tests/integration_tests/tools/edenai/test_ocr_identityparser.py
@@ -13,7 +13,7 @@ from langchain_community.tools.edenai import EdenAiParsingIDTool
 
 def test_edenai_call() -> None:
     """Test simple call to edenai's identity parser endpoint."""
-    id_parser = EdenAiParsingIDTool(providers=["amazon"], language="en")
+    id_parser = EdenAiParsingIDTool(providers=["amazon"], language="en")  # type: ignore[call-arg]
 
     output = id_parser.invoke(
         "https://www.citizencard.com/images/citizencard-uk-id-card-2023.jpg"
diff --git a/libs/community/tests/integration_tests/tools/edenai/test_ocr_invoiceparser.py b/libs/community/tests/integration_tests/tools/edenai/test_ocr_invoiceparser.py
index c8a62b8e61..daccfb03d5 100644
--- a/libs/community/tests/integration_tests/tools/edenai/test_ocr_invoiceparser.py
+++ b/libs/community/tests/integration_tests/tools/edenai/test_ocr_invoiceparser.py
@@ -13,7 +13,7 @@ from langchain_community.tools.edenai import EdenAiParsingInvoiceTool
 
 def test_edenai_call() -> None:
     """Test simple call to edenai's invoice parser endpoint."""
-    invoice_parser = EdenAiParsingInvoiceTool(providers=["amazon"], language="en")
+    invoice_parser = EdenAiParsingInvoiceTool(providers=["amazon"], language="en")  # type: ignore[call-arg]
 
     output = invoice_parser.invoke(
         "https://app.edenai.run/assets/img/data_1.72e3bdcc.png"
diff --git a/libs/community/tests/integration_tests/tools/edenai/test_text_moderation.py b/libs/community/tests/integration_tests/tools/edenai/test_text_moderation.py
index 0a6d2e9c28..6e59e211ba 100644
--- a/libs/community/tests/integration_tests/tools/edenai/test_text_moderation.py
+++ b/libs/community/tests/integration_tests/tools/edenai/test_text_moderation.py
@@ -14,7 +14,7 @@ from langchain_community.tools.edenai.text_moderation import EdenAiTextModeratio
 def test_edenai_call() -> None:
     """Test simple call to edenai's text moderation endpoint."""
 
-    text_moderation = EdenAiTextModerationTool(providers=["openai"], language="en")
+    text_moderation = EdenAiTextModerationTool(providers=["openai"], language="en")  # type: ignore[call-arg]
 
     output = text_moderation.invoke("i hate you")
 
diff --git a/libs/community/tests/integration_tests/utilities/test_arxiv.py b/libs/community/tests/integration_tests/utilities/test_arxiv.py
index c11ae32732..e4fa9e4aa5 100644
--- a/libs/community/tests/integration_tests/utilities/test_arxiv.py
+++ b/libs/community/tests/integration_tests/utilities/test_arxiv.py
@@ -12,7 +12,7 @@ from langchain_community.utilities import ArxivAPIWrapper
 
 @pytest.fixture
 def api_client() -> ArxivAPIWrapper:
-    return ArxivAPIWrapper()
+    return ArxivAPIWrapper()  # type: ignore[call-arg]
 
 
 def test_run_success_paper_name(api_client: ArxivAPIWrapper) -> None:
@@ -102,7 +102,7 @@ def test_load_returns_no_result(api_client: ArxivAPIWrapper) -> None:
 def test_load_returns_limited_docs() -> None:
     """Test that returns several docs"""
     expected_docs = 2
-    api_client = ArxivAPIWrapper(load_max_docs=expected_docs)
+    api_client = ArxivAPIWrapper(load_max_docs=expected_docs)  # type: ignore[call-arg]
     docs = api_client.load("ChatGPT")
     assert len(docs) == expected_docs
     assert_docs(docs)
@@ -112,7 +112,7 @@ def test_load_returns_limited_doc_content_chars() -> None:
     """Test that returns limited doc_content_chars_max"""
 
     doc_content_chars_max = 100
-    api_client = ArxivAPIWrapper(doc_content_chars_max=doc_content_chars_max)
+    api_client = ArxivAPIWrapper(doc_content_chars_max=doc_content_chars_max)  # type: ignore[call-arg]
     docs = api_client.load("1605.08386")
     assert len(docs[0].page_content) == doc_content_chars_max
 
@@ -121,14 +121,14 @@ def test_load_returns_unlimited_doc_content_chars() -> None:
     """Test that returns unlimited doc_content_chars_max"""
 
     doc_content_chars_max = None
-    api_client = ArxivAPIWrapper(doc_content_chars_max=doc_content_chars_max)
+    api_client = ArxivAPIWrapper(doc_content_chars_max=doc_content_chars_max)  # type: ignore[call-arg]
     docs = api_client.load("1605.08386")
     assert len(docs[0].page_content) == pytest.approx(54338, rel=1e-2)
 
 
 def test_load_returns_full_set_of_metadata() -> None:
     """Test that returns several docs"""
-    api_client = ArxivAPIWrapper(load_max_docs=1, load_all_available_meta=True)
+    api_client = ArxivAPIWrapper(load_max_docs=1, load_all_available_meta=True)  # type: ignore[call-arg]
     docs = api_client.load("ChatGPT")
     assert len(docs) == 1
     for doc in docs:
diff --git a/libs/community/tests/integration_tests/utilities/test_bing_search.py b/libs/community/tests/integration_tests/utilities/test_bing_search.py
index 302d66dddb..a0f686a6e3 100644
--- a/libs/community/tests/integration_tests/utilities/test_bing_search.py
+++ b/libs/community/tests/integration_tests/utilities/test_bing_search.py
@@ -4,14 +4,14 @@ from langchain_community.utilities.bing_search import BingSearchAPIWrapper
 
 def test_call() -> None:
     """Test that call gives the correct answer."""
-    search = BingSearchAPIWrapper()
+    search = BingSearchAPIWrapper()  # type: ignore[call-arg]
     output = search.run("Obama's first name")
     assert "Barack Hussein Obama" in output
 
 
 def test_results() -> None:
     """Test that call gives the correct answer."""
-    search = BingSearchAPIWrapper()
+    search = BingSearchAPIWrapper()  # type: ignore[call-arg]
     results = search.results("Obama's first name", num_results=5)
     result_contents = "\n".join(
         f"{result['title']}: {result['snippet']}" for result in results
diff --git a/libs/community/tests/integration_tests/utilities/test_dataherald_api.py b/libs/community/tests/integration_tests/utilities/test_dataherald_api.py
index 8556dad408..9602bfb30c 100644
--- a/libs/community/tests/integration_tests/utilities/test_dataherald_api.py
+++ b/libs/community/tests/integration_tests/utilities/test_dataherald_api.py
@@ -4,6 +4,6 @@ from langchain_community.utilities.dataherald import DataheraldAPIWrapper
 
 def test_call() -> None:
     """Test that call gives the correct answer."""
-    search = DataheraldAPIWrapper(db_connection_id="65fb766367dd22c99ce1a12d")
+    search = DataheraldAPIWrapper(db_connection_id="65fb766367dd22c99ce1a12d")  # type: ignore[call-arg]
     output = search.run("How many employees are in the company?")
     assert "Answer: SELECT \n    COUNT(*) FROM \n    employees" in output
diff --git a/libs/community/tests/integration_tests/utilities/test_duckduckdgo_search_api.py b/libs/community/tests/integration_tests/utilities/test_duckduckdgo_search_api.py
index 220dc048a5..723827ccc9 100644
--- a/libs/community/tests/integration_tests/utilities/test_duckduckdgo_search_api.py
+++ b/libs/community/tests/integration_tests/utilities/test_duckduckdgo_search_api.py
@@ -28,7 +28,7 @@ def test_ddg_search_tool() -> None:
 @pytest.mark.skipif(not ddg_installed(), reason="requires duckduckgo-search package")
 def test_ddg_search_news_tool() -> None:
     keywords = "Tesla"
-    tool = DuckDuckGoSearchResults(source="news")
+    tool = DuckDuckGoSearchResults(source="news")  # type: ignore[call-arg]
     result = tool.invoke(keywords)
     print(result)  # noqa: T201
     assert len(result.split()) > 20
diff --git a/libs/community/tests/integration_tests/utilities/test_github.py b/libs/community/tests/integration_tests/utilities/test_github.py
index 77b87ec64f..1c5052bb40 100644
--- a/libs/community/tests/integration_tests/utilities/test_github.py
+++ b/libs/community/tests/integration_tests/utilities/test_github.py
@@ -12,7 +12,7 @@ from langchain_community.utilities.github import GitHubAPIWrapper
 
 @pytest.fixture
 def api_client() -> GitHubAPIWrapper:
-    return GitHubAPIWrapper()
+    return GitHubAPIWrapper()  # type: ignore[call-arg]
 
 
 def test_get_open_issues(api_client: GitHubAPIWrapper) -> None:
diff --git a/libs/community/tests/integration_tests/utilities/test_googlesearch_api.py b/libs/community/tests/integration_tests/utilities/test_googlesearch_api.py
index b32d05e76b..8868bfc6bc 100644
--- a/libs/community/tests/integration_tests/utilities/test_googlesearch_api.py
+++ b/libs/community/tests/integration_tests/utilities/test_googlesearch_api.py
@@ -5,14 +5,14 @@ from langchain_community.utilities.google_search import GoogleSearchAPIWrapper
 
 def test_call() -> None:
     """Test that call gives the correct answer."""
-    search = GoogleSearchAPIWrapper()
+    search = GoogleSearchAPIWrapper()  # type: ignore[call-arg]
     output = search.run("What was Obama's first name?")
     assert "Barack Hussein Obama II" in output
 
 
 def test_no_result_call() -> None:
     """Test that call gives no result."""
-    search = GoogleSearchAPIWrapper()
+    search = GoogleSearchAPIWrapper()  # type: ignore[call-arg]
     output = search.run(
         "NORESULTCALL_NORESULTCALL_NORESULTCALL_NORESULTCALL_NORESULTCALL_NORESULTCALL"
     )
@@ -22,7 +22,7 @@ def test_no_result_call() -> None:
 
 def test_result_with_params_call() -> None:
     """Test that call gives the correct answer with extra params."""
-    search = GoogleSearchAPIWrapper()
+    search = GoogleSearchAPIWrapper()  # type: ignore[call-arg]
     output = search.results(
         query="What was Obama's first name?",
         num_results=5,
diff --git a/libs/community/tests/integration_tests/utilities/test_jira_api.py b/libs/community/tests/integration_tests/utilities/test_jira_api.py
index c59721c73e..107cccee27 100644
--- a/libs/community/tests/integration_tests/utilities/test_jira_api.py
+++ b/libs/community/tests/integration_tests/utilities/test_jira_api.py
@@ -5,14 +5,14 @@ from langchain_community.utilities.jira import JiraAPIWrapper
 def test_search() -> None:
     """Test for Searching issues on JIRA"""
     jql = "project = TP"
-    jira = JiraAPIWrapper()
+    jira = JiraAPIWrapper()  # type: ignore[call-arg]
     output = jira.run("jql", jql)
     assert "issues" in output
 
 
 def test_getprojects() -> None:
     """Test for getting projects on JIRA"""
-    jira = JiraAPIWrapper()
+    jira = JiraAPIWrapper()  # type: ignore[call-arg]
     output = jira.run("get_projects", "")
     assert "projects" in output
 
@@ -23,7 +23,7 @@ def test_create_ticket() -> None:
         '{"summary": "Test Summary", "description": "Test Description",'
         ' "issuetype": {"name": "Bug"}, "project": {"key": "TP"}}'
     )
-    jira = JiraAPIWrapper()
+    jira = JiraAPIWrapper()  # type: ignore[call-arg]
     output = jira.run("create_issue", issue_string)
     assert "id" in output
     assert "key" in output
@@ -31,7 +31,7 @@ def test_create_ticket() -> None:
 
 def test_create_confluence_page() -> None:
     """Test for getting projects on JIRA"""
-    jira = JiraAPIWrapper()
+    jira = JiraAPIWrapper()  # type: ignore[call-arg]
     create_page_dict = (
         '{"space": "ROC", "title":"This is the title",'
         '"body":"This is the body. You can use '
@@ -45,7 +45,7 @@ def test_create_confluence_page() -> None:
 
 def test_other() -> None:
     """Non-exhaustive test for accessing other JIRA API methods"""
-    jira = JiraAPIWrapper()
+    jira = JiraAPIWrapper()  # type: ignore[call-arg]
     issue_create_dict = """
         {
             "function":"issue_create",
diff --git a/libs/community/tests/integration_tests/utilities/test_openweathermap.py b/libs/community/tests/integration_tests/utilities/test_openweathermap.py
index 9f6e1f2c0f..5a4415f8ff 100644
--- a/libs/community/tests/integration_tests/utilities/test_openweathermap.py
+++ b/libs/community/tests/integration_tests/utilities/test_openweathermap.py
@@ -4,7 +4,7 @@ from langchain_community.utilities.openweathermap import OpenWeatherMapAPIWrappe
 def test_openweathermap_api_wrapper() -> None:
     """Test that OpenWeatherMapAPIWrapper returns correct data for London, GB."""
 
-    weather = OpenWeatherMapAPIWrapper()
+    weather = OpenWeatherMapAPIWrapper()  # type: ignore[call-arg]
     weather_data = weather.run("London,GB")
 
     assert weather_data is not None
diff --git a/libs/community/tests/integration_tests/utilities/test_pubmed.py b/libs/community/tests/integration_tests/utilities/test_pubmed.py
index 67bd85ec89..e8541224c3 100644
--- a/libs/community/tests/integration_tests/utilities/test_pubmed.py
+++ b/libs/community/tests/integration_tests/utilities/test_pubmed.py
@@ -13,7 +13,7 @@ xmltodict = pytest.importorskip("xmltodict")
 
 @pytest.fixture
 def api_client() -> PubMedAPIWrapper:
-    return PubMedAPIWrapper()
+    return PubMedAPIWrapper()  # type: ignore[call-arg]
 
 
 def test_run_success(api_client: PubMedAPIWrapper) -> None:
@@ -115,7 +115,7 @@ def test_load_returns_no_result(api_client: PubMedAPIWrapper) -> None:
 def test_load_returns_limited_docs() -> None:
     """Test that returns several docs"""
     expected_docs = 2
-    api_client = PubMedAPIWrapper(top_k_results=expected_docs)
+    api_client = PubMedAPIWrapper(top_k_results=expected_docs)  # type: ignore[call-arg]
     docs = api_client.load_docs("ChatGPT")
     assert len(docs) == expected_docs
     assert_docs(docs)
@@ -123,7 +123,7 @@ def test_load_returns_limited_docs() -> None:
 
 def test_load_returns_full_set_of_metadata() -> None:
     """Test that returns several docs"""
-    api_client = PubMedAPIWrapper(load_max_docs=1, load_all_available_meta=True)
+    api_client = PubMedAPIWrapper(load_max_docs=1, load_all_available_meta=True)  # type: ignore[call-arg]
     docs = api_client.load_docs("ChatGPT")
     assert len(docs) == 3
     for doc in docs:
diff --git a/libs/community/tests/integration_tests/utilities/test_reddit_search_api.py b/libs/community/tests/integration_tests/utilities/test_reddit_search_api.py
index 939a647433..d80a177b86 100644
--- a/libs/community/tests/integration_tests/utilities/test_reddit_search_api.py
+++ b/libs/community/tests/integration_tests/utilities/test_reddit_search_api.py
@@ -5,7 +5,7 @@ from langchain_community.utilities.reddit_search import RedditSearchAPIWrapper
 
 @pytest.fixture
 def api_client() -> RedditSearchAPIWrapper:
-    return RedditSearchAPIWrapper()
+    return RedditSearchAPIWrapper()  # type: ignore[call-arg]
 
 
 def assert_results_exists(results: list) -> None:
diff --git a/libs/community/tests/integration_tests/utilities/test_serpapi.py b/libs/community/tests/integration_tests/utilities/test_serpapi.py
index f1a86680ce..5afdb22545 100644
--- a/libs/community/tests/integration_tests/utilities/test_serpapi.py
+++ b/libs/community/tests/integration_tests/utilities/test_serpapi.py
@@ -4,6 +4,6 @@ from langchain_community.utilities import SerpAPIWrapper
 
 def test_call() -> None:
     """Test that call gives the correct answer."""
-    chain = SerpAPIWrapper()
+    chain = SerpAPIWrapper()  # type: ignore[call-arg]
     output = chain.run("What was Obama's first name?")
     assert output == "Barack Hussein Obama II"
diff --git a/libs/community/tests/integration_tests/utilities/test_stackexchange.py b/libs/community/tests/integration_tests/utilities/test_stackexchange.py
index 96bb9dc4f5..5751801f53 100644
--- a/libs/community/tests/integration_tests/utilities/test_stackexchange.py
+++ b/libs/community/tests/integration_tests/utilities/test_stackexchange.py
@@ -4,20 +4,20 @@ from langchain_community.utilities import StackExchangeAPIWrapper
 
 def test_call() -> None:
     """Test that call runs."""
-    stackexchange = StackExchangeAPIWrapper()
+    stackexchange = StackExchangeAPIWrapper()  # type: ignore[call-arg]
     output = stackexchange.run("zsh: command not found: python")
     assert output != "hello"
 
 
 def test_failure() -> None:
     """Test that call that doesn't run."""
-    stackexchange = StackExchangeAPIWrapper()
+    stackexchange = StackExchangeAPIWrapper()  # type: ignore[call-arg]
     output = stackexchange.run("sjefbsmnf")
     assert output == "No relevant results found for 'sjefbsmnf' on Stack Overflow"
 
 
 def test_success() -> None:
     """Test that call that doesn't run."""
-    stackexchange = StackExchangeAPIWrapper()
+    stackexchange = StackExchangeAPIWrapper()  # type: ignore[call-arg]
     output = stackexchange.run("zsh: command not found: python")
     assert "zsh: command not found: python" in output
diff --git a/libs/community/tests/integration_tests/utilities/test_steam_api.py b/libs/community/tests/integration_tests/utilities/test_steam_api.py
index be61f5f1ab..96de47eeb4 100644
--- a/libs/community/tests/integration_tests/utilities/test_steam_api.py
+++ b/libs/community/tests/integration_tests/utilities/test_steam_api.py
@@ -5,7 +5,7 @@ from langchain_community.utilities.steam import SteamWebAPIWrapper
 
 def test_get_game_details() -> None:
     """Test for getting game details on Steam"""
-    steam = SteamWebAPIWrapper()
+    steam = SteamWebAPIWrapper()  # type: ignore[call-arg]
     output = steam.run("get_game_details", "Terraria")
     assert "id" in output
     assert "link" in output
@@ -16,7 +16,7 @@ def test_get_game_details() -> None:
 
 def test_get_recommended_games() -> None:
     """Test for getting recommended games on Steam"""
-    steam = SteamWebAPIWrapper()
+    steam = SteamWebAPIWrapper()  # type: ignore[call-arg]
     output = steam.run("get_recommended_games", "76561198362745711")
     output = ast.literal_eval(output)
     assert len(output) == 5
diff --git a/libs/community/tests/integration_tests/utilities/test_tensorflow_datasets.py b/libs/community/tests/integration_tests/utilities/test_tensorflow_datasets.py
index 59c5c661b0..01990bc2c4 100644
--- a/libs/community/tests/integration_tests/utilities/test_tensorflow_datasets.py
+++ b/libs/community/tests/integration_tests/utilities/test_tensorflow_datasets.py
@@ -34,7 +34,7 @@ MAX_DOCS = 10
 
 @pytest.fixture
 def tfds_client() -> TensorflowDatasets:
-    return TensorflowDatasets(
+    return TensorflowDatasets(  # type: ignore[call-arg]
         dataset_name="mlqa/en",
         split_name="test",
         load_max_docs=MAX_DOCS,
@@ -58,7 +58,7 @@ def test_load_success(tfds_client: TensorflowDatasets) -> None:
 def test_load_fail_wrong_dataset_name() -> None:
     """Test that fails to load"""
     with pytest.raises(ValidationError) as exc_info:
-        TensorflowDatasets(
+        TensorflowDatasets(  # type: ignore[call-arg]
             dataset_name="wrong_dataset_name",
             split_name="test",
             load_max_docs=MAX_DOCS,
@@ -70,7 +70,7 @@ def test_load_fail_wrong_dataset_name() -> None:
 def test_load_fail_wrong_split_name() -> None:
     """Test that fails to load"""
     with pytest.raises(ValidationError) as exc_info:
-        TensorflowDatasets(
+        TensorflowDatasets(  # type: ignore[call-arg]
             dataset_name="mlqa/en",
             split_name="wrong_split_name",
             load_max_docs=MAX_DOCS,
@@ -82,7 +82,7 @@ def test_load_fail_wrong_split_name() -> None:
 def test_load_fail_no_func() -> None:
     """Test that fails to load"""
     with pytest.raises(ValidationError) as exc_info:
-        TensorflowDatasets(
+        TensorflowDatasets(  # type: ignore[call-arg]
             dataset_name="mlqa/en",
             split_name="test",
             load_max_docs=MAX_DOCS,
diff --git a/libs/community/tests/integration_tests/utilities/test_twilio.py b/libs/community/tests/integration_tests/utilities/test_twilio.py
index 5e46840270..a5b2bf535c 100644
--- a/libs/community/tests/integration_tests/utilities/test_twilio.py
+++ b/libs/community/tests/integration_tests/utilities/test_twilio.py
@@ -4,6 +4,6 @@ from langchain_community.utilities.twilio import TwilioAPIWrapper
 
 def test_call() -> None:
     """Test that call runs."""
-    twilio = TwilioAPIWrapper()
+    twilio = TwilioAPIWrapper()  # type: ignore[call-arg]
     output = twilio.run("Message", "+16162904619")
     assert output
diff --git a/libs/community/tests/integration_tests/utilities/test_wikipedia_api.py b/libs/community/tests/integration_tests/utilities/test_wikipedia_api.py
index f1d3cee538..9123d6bd6a 100644
--- a/libs/community/tests/integration_tests/utilities/test_wikipedia_api.py
+++ b/libs/community/tests/integration_tests/utilities/test_wikipedia_api.py
@@ -9,7 +9,7 @@ from langchain_community.utilities import WikipediaAPIWrapper
 
 @pytest.fixture
 def api_client() -> WikipediaAPIWrapper:
-    return WikipediaAPIWrapper()
+    return WikipediaAPIWrapper()  # type: ignore[call-arg]
 
 
 def test_run_success(api_client: WikipediaAPIWrapper) -> None:
@@ -53,7 +53,7 @@ def test_load_success_all_meta(api_client: WikipediaAPIWrapper) -> None:
 
 def test_load_more_docs_success(api_client: WikipediaAPIWrapper) -> None:
     top_k_results = 20
-    api_client = WikipediaAPIWrapper(top_k_results=top_k_results)
+    api_client = WikipediaAPIWrapper(top_k_results=top_k_results)  # type: ignore[call-arg]
     docs = api_client.load("HUNTER X HUNTER")
     assert len(docs) > 10
     assert len(docs) <= top_k_results
diff --git a/libs/community/tests/integration_tests/utilities/test_wolfram_alpha_api.py b/libs/community/tests/integration_tests/utilities/test_wolfram_alpha_api.py
index f460e8c113..715e76963f 100644
--- a/libs/community/tests/integration_tests/utilities/test_wolfram_alpha_api.py
+++ b/libs/community/tests/integration_tests/utilities/test_wolfram_alpha_api.py
@@ -4,6 +4,6 @@ from langchain_community.utilities.wolfram_alpha import WolframAlphaAPIWrapper
 
 def test_call() -> None:
     """Test that call gives the correct answer."""
-    search = WolframAlphaAPIWrapper()
+    search = WolframAlphaAPIWrapper()  # type: ignore[call-arg]
     output = search.run("what is 2x+18=x+5?")
     assert "x = -13" in output
diff --git a/libs/community/tests/integration_tests/vectorstores/test_elastic_vector_search.py b/libs/community/tests/integration_tests/vectorstores/test_elastic_vector_search.py
index ebaeb142be..3be8b824ff 100644
--- a/libs/community/tests/integration_tests/vectorstores/test_elastic_vector_search.py
+++ b/libs/community/tests/integration_tests/vectorstores/test_elastic_vector_search.py
@@ -26,7 +26,7 @@ class TestElasticsearch:
             raise ValueError("OPENAI_API_KEY environment variable is not set")
 
     @pytest.fixture(scope="class", autouse=True)
-    def elasticsearch_url(self) -> Union[str, Generator[str, None, None]]:
+    def elasticsearch_url(self) -> Union[str, Generator[str, None, None]]:  # type: ignore[return]
         """Return the elasticsearch url."""
         from elasticsearch import Elasticsearch
 
diff --git a/libs/community/tests/integration_tests/vectorstores/test_elasticsearch.py b/libs/community/tests/integration_tests/vectorstores/test_elasticsearch.py
index f9b1f04d8d..2842938986 100644
--- a/libs/community/tests/integration_tests/vectorstores/test_elasticsearch.py
+++ b/libs/community/tests/integration_tests/vectorstores/test_elasticsearch.py
@@ -49,7 +49,7 @@ class TestElasticsearch:
             raise ValueError("OPENAI_API_KEY environment variable is not set")
 
     @pytest.fixture(scope="class", autouse=True)
-    def elasticsearch_connection(self) -> Union[dict, Generator[dict, None, None]]:
+    def elasticsearch_connection(self) -> Union[dict, Generator[dict, None, None]]:  # type: ignore[return]
         # Running this integration test with Elastic Cloud
         # Required for in-stack inference testing (ELSER + model_id)
         from elasticsearch import Elasticsearch
diff --git a/libs/community/tests/integration_tests/vectorstores/test_vlite.py b/libs/community/tests/integration_tests/vectorstores/test_vlite.py
index a0fc53f3c4..7acd2e02df 100644
--- a/libs/community/tests/integration_tests/vectorstores/test_vlite.py
+++ b/libs/community/tests/integration_tests/vectorstores/test_vlite.py
@@ -9,7 +9,7 @@ from langchain_community.vectorstores import VLite
 def test_vlite() -> None:
     """Test end to end construction and search."""
     texts = ["foo", "bar", "baz"]
-    docsearch = VLite.from_texts(texts=texts, embedding=FakeEmbeddings())
+    docsearch = VLite.from_texts(texts=texts, embedding=FakeEmbeddings())  # type: ignore[call-arg]
     output = docsearch.similarity_search("foo", k=1)
     assert output == [Document(page_content="foo")]
 
@@ -19,7 +19,9 @@ def test_vlite_with_metadatas() -> None:
     texts = ["foo", "bar", "baz"]
     metadatas = [{"page": str(i)} for i in range(len(texts))]
     docsearch = VLite.from_texts(
-        texts=texts, embedding=FakeEmbeddings(), metadatas=metadatas
+        texts=texts,
+        embedding=FakeEmbeddings(),  # type: ignore[call-arg]
+        metadatas=metadatas,  # type: ignore[call-arg]
     )
     output = docsearch.similarity_search("foo", k=1)
     assert output == [Document(page_content="foo", metadata={"page": "0"})]
@@ -30,7 +32,9 @@ def test_vlite_with_metadatas_with_scores() -> None:
     texts = ["foo", "bar", "baz"]
     metadatas = [{"page": str(i)} for i in range(len(texts))]
     docsearch = VLite.from_texts(
-        texts=texts, embedding=FakeEmbeddings(), metadatas=metadatas
+        texts=texts,
+        embedding=FakeEmbeddings(),  # type: ignore[call-arg]
+        metadatas=metadatas,  # type: ignore[call-arg]
     )
     output = docsearch.similarity_search_with_score("foo", k=1)
     assert output == [(Document(page_content="foo", metadata={"page": "0"}), 0.0)]
@@ -40,7 +44,9 @@ def test_vlite_update_document() -> None:
     """Test updating a document."""
     texts = ["foo", "bar", "baz"]
     docsearch = VLite.from_texts(
-        texts=texts, embedding=FakeEmbeddings(), ids=["1", "2", "3"]
+        texts=texts,
+        embedding=FakeEmbeddings(),  # type: ignore[call-arg]
+        ids=["1", "2", "3"],  # type: ignore[call-arg]
     )
     docsearch.update_document("1", Document(page_content="updated_foo"))
     output = docsearch.similarity_search("updated_foo", k=1)
@@ -51,7 +57,9 @@ def test_vlite_delete_document() -> None:
     """Test deleting a document."""
     texts = ["foo", "bar", "baz"]
     docsearch = VLite.from_texts(
-        texts=texts, embedding=FakeEmbeddings(), ids=["1", "2", "3"]
+        texts=texts,
+        embedding=FakeEmbeddings(),  # type: ignore[call-arg]
+        ids=["1", "2", "3"],  # type: ignore[call-arg]
     )
     docsearch.delete(["1"])
     output = docsearch.similarity_search("foo", k=3)
@@ -64,7 +72,7 @@ def test_vlite_get_documents() -> None:
     metadatas = [{"page": str(i)} for i in range(len(texts))]
     docsearch = VLite.from_texts(
         texts=texts,
-        embedding=FakeEmbeddings(),
+        embedding=FakeEmbeddings(),  # type: ignore[call-arg]
         metadatas=metadatas,
         ids=["1", "2", "3"],
     )
@@ -79,10 +87,13 @@ def test_vlite_from_existing_index() -> None:
     """Test loading from an existing index."""
     texts = ["foo", "bar", "baz"]
     VLite.from_texts(
-        texts=texts, embedding=FakeEmbeddings(), collection="test_collection"
+        texts=texts,
+        embedding=FakeEmbeddings(),  # type: ignore[call-arg]
+        collection="test_collection",  # type: ignore[call-arg]
     )
     new_docsearch = VLite.from_existing_index(
-        collection="test_collection", embedding=FakeEmbeddings()
+        collection="test_collection",
+        embedding=FakeEmbeddings(),  # type: ignore[call-arg]
     )
     output = new_docsearch.similarity_search("foo", k=1)
     assert output == [Document(page_content="foo")]
diff --git a/libs/community/tests/integration_tests/vectorstores/test_weaviate.py b/libs/community/tests/integration_tests/vectorstores/test_weaviate.py
index 38c879a0d2..9867728df0 100644
--- a/libs/community/tests/integration_tests/vectorstores/test_weaviate.py
+++ b/libs/community/tests/integration_tests/vectorstores/test_weaviate.py
@@ -26,7 +26,7 @@ class TestWeaviate:
             raise ValueError("OPENAI_API_KEY environment variable is not set")
 
     @pytest.fixture(scope="class", autouse=True)
-    def weaviate_url(self) -> Union[str, Generator[str, None, None]]:
+    def weaviate_url(self) -> Union[str, Generator[str, None, None]]:  # type: ignore[return]
         """Return the weaviate url."""
         from weaviate import Client
 
diff --git a/libs/community/tests/unit_tests/chat_models/konko.py b/libs/community/tests/unit_tests/chat_models/konko.py
index 20b81d7527..88b4fe0357 100644
--- a/libs/community/tests/unit_tests/chat_models/konko.py
+++ b/libs/community/tests/unit_tests/chat_models/konko.py
@@ -149,15 +149,15 @@ def test_konko_streaming_param_validation_test() -> None:
 
 def test_konko_additional_args_test() -> None:
     """Evaluate extra arguments for ChatKonko."""
-    chat_instance = ChatKonko(extra=3, max_tokens=10)
+    chat_instance = ChatKonko(extra=3, max_tokens=10)  # type: ignore[call-arg]
     assert chat_instance.max_tokens == 10
     assert chat_instance.model_kwargs == {"extra": 3}
 
-    chat_instance = ChatKonko(extra=3, model_kwargs={"addition": 2})
+    chat_instance = ChatKonko(extra=3, model_kwargs={"addition": 2})  # type: ignore[call-arg]
     assert chat_instance.model_kwargs == {"extra": 3, "addition": 2}
 
     with pytest.raises(ValueError):
-        ChatKonko(extra=3, model_kwargs={"extra": 2})
+        ChatKonko(extra=3, model_kwargs={"extra": 2})  # type: ignore[call-arg]
 
     with pytest.raises(ValueError):
         ChatKonko(model_kwargs={"temperature": 0.2})
diff --git a/libs/community/tests/unit_tests/chat_models/test_anthropic.py b/libs/community/tests/unit_tests/chat_models/test_anthropic.py
index e883b6a9b7..7b03a7a2e8 100644
--- a/libs/community/tests/unit_tests/chat_models/test_anthropic.py
+++ b/libs/community/tests/unit_tests/chat_models/test_anthropic.py
@@ -21,7 +21,7 @@ def test_anthropic_model_name_param() -> None:
 
 @pytest.mark.requires("anthropic")
 def test_anthropic_model_param() -> None:
-    llm = ChatAnthropic(model="foo")
+    llm = ChatAnthropic(model="foo")  # type: ignore[call-arg]
     assert llm.model == "foo"
 
 
@@ -40,7 +40,7 @@ def test_anthropic_invalid_model_kwargs() -> None:
 @pytest.mark.requires("anthropic")
 def test_anthropic_incorrect_field() -> None:
     with pytest.warns(match="not default parameter"):
-        llm = ChatAnthropic(foo="bar")
+        llm = ChatAnthropic(foo="bar")  # type: ignore[call-arg]
     assert llm.model_kwargs == {"foo": "bar"}
 
 
@@ -49,7 +49,7 @@ def test_anthropic_initialization() -> None:
     """Test anthropic initialization."""
     # Verify that chat anthropic can be initialized using a secret key provided
     # as a parameter rather than an environment variable.
-    ChatAnthropic(model="test", anthropic_api_key="test")
+    ChatAnthropic(model="test", anthropic_api_key="test")  # type: ignore[arg-type, call-arg]
 
 
 @pytest.mark.parametrize(
diff --git a/libs/community/tests/unit_tests/chat_models/test_azureml_endpoint.py b/libs/community/tests/unit_tests/chat_models/test_azureml_endpoint.py
index d5dbb716d2..bf01dcae2a 100644
--- a/libs/community/tests/unit_tests/chat_models/test_azureml_endpoint.py
+++ b/libs/community/tests/unit_tests/chat_models/test_azureml_endpoint.py
@@ -27,7 +27,7 @@ def api_passed_via_constructor_fixture() -> AzureMLChatOnlineEndpoint:
     with API key passed from constructor"""
     azure_chat = AzureMLChatOnlineEndpoint(
         endpoint_url="https://<your-endpoint>.<your_region>.inference.ml.azure.com/score",
-        endpoint_api_key="my-api-key",
+        endpoint_api_key="my-api-key",  # type: ignore[arg-type]
     )
     return azure_chat
 
diff --git a/libs/community/tests/unit_tests/chat_models/test_baichuan.py b/libs/community/tests/unit_tests/chat_models/test_baichuan.py
index 6ca14998af..e79efac726 100644
--- a/libs/community/tests/unit_tests/chat_models/test_baichuan.py
+++ b/libs/community/tests/unit_tests/chat_models/test_baichuan.py
@@ -25,8 +25,8 @@ def test_initialization() -> None:
     """Test chat model initialization."""
 
     for model in [
-        ChatBaichuan(model="Baichuan2-Turbo-192K", api_key="test-api-key", timeout=40),
-        ChatBaichuan(
+        ChatBaichuan(model="Baichuan2-Turbo-192K", api_key="test-api-key", timeout=40),  # type: ignore[arg-type, call-arg]
+        ChatBaichuan(  # type: ignore[call-arg]
             model="Baichuan2-Turbo-192K",
             baichuan_api_key="test-api-key",
             request_timeout=40,
@@ -117,7 +117,7 @@ def test_baichuan_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
     """Test initialization with an API key provided via the initializer"""
-    chat = ChatBaichuan(baichuan_api_key="test-api-key")
+    chat = ChatBaichuan(baichuan_api_key="test-api-key")  # type: ignore[call-arg]
     print(chat.baichuan_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
     assert captured.out == "**********"
@@ -125,9 +125,9 @@ def test_baichuan_key_masked_when_passed_via_constructor(
 
 def test_uses_actual_secret_value_from_secret_str() -> None:
     """Test that actual secret is retrieved using `.get_secret_value()`."""
-    chat = ChatBaichuan(
+    chat = ChatBaichuan(  # type: ignore[call-arg]
         baichuan_api_key="test-api-key",
-        baichuan_secret_key="test-secret-key",  # For backward compatibility
+        baichuan_secret_key="test-secret-key",  # type: ignore[arg-type] # For backward compatibility
     )
     assert cast(SecretStr, chat.baichuan_api_key).get_secret_value() == "test-api-key"
     assert (
diff --git a/libs/community/tests/unit_tests/chat_models/test_fireworks.py b/libs/community/tests/unit_tests/chat_models/test_fireworks.py
index 211721bc08..5b9c69b4d0 100644
--- a/libs/community/tests/unit_tests/chat_models/test_fireworks.py
+++ b/libs/community/tests/unit_tests/chat_models/test_fireworks.py
@@ -14,7 +14,7 @@ if sys.version_info < (3, 9):
 
 @pytest.mark.requires("fireworks")
 def test_api_key_is_string() -> None:
-    llm = ChatFireworks(fireworks_api_key="secret-api-key")
+    llm = ChatFireworks(fireworks_api_key="secret-api-key")  # type: ignore[arg-type]
     assert isinstance(llm.fireworks_api_key, SecretStr)
 
 
@@ -22,7 +22,7 @@ def test_api_key_is_string() -> None:
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = ChatFireworks(fireworks_api_key="secret-api-key")
+    llm = ChatFireworks(fireworks_api_key="secret-api-key")  # type: ignore[arg-type]
     print(llm.fireworks_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
diff --git a/libs/community/tests/unit_tests/chat_models/test_friendli.py b/libs/community/tests/unit_tests/chat_models/test_friendli.py
index b337e185d3..e101533fb8 100644
--- a/libs/community/tests/unit_tests/chat_models/test_friendli.py
+++ b/libs/community/tests/unit_tests/chat_models/test_friendli.py
@@ -38,7 +38,7 @@ def chat_friendli(
 def test_friendli_token_is_secret_string(capsys: CaptureFixture) -> None:
     """Test if friendli token is stored as a SecretStr."""
     fake_token_value = "personal-access-token"
-    chat = ChatFriendli(friendli_token=fake_token_value)
+    chat = ChatFriendli(friendli_token=fake_token_value)  # type: ignore[arg-type]
     assert isinstance(chat.friendli_token, SecretStr)
     assert chat.friendli_token.get_secret_value() == fake_token_value
     print(chat.friendli_token, end="")  # noqa: T201
diff --git a/libs/community/tests/unit_tests/chat_models/test_google_palm.py b/libs/community/tests/unit_tests/chat_models/test_google_palm.py
index 53e201c5b3..dab998d051 100644
--- a/libs/community/tests/unit_tests/chat_models/test_google_palm.py
+++ b/libs/community/tests/unit_tests/chat_models/test_google_palm.py
@@ -92,19 +92,19 @@ def test_messages_to_prompt_dict_raises_with_example_after_real() -> None:
 def test_chat_google_raises_with_invalid_temperature() -> None:
     pytest.importorskip("google.generativeai")
     with pytest.raises(ValueError) as e:
-        ChatGooglePalm(google_api_key="fake", temperature=2.0)
+        ChatGooglePalm(google_api_key="fake", temperature=2.0)  # type: ignore[arg-type, call-arg]
     assert "must be in the range" in str(e)
 
 
 def test_chat_google_raises_with_invalid_top_p() -> None:
     pytest.importorskip("google.generativeai")
     with pytest.raises(ValueError) as e:
-        ChatGooglePalm(google_api_key="fake", top_p=2.0)
+        ChatGooglePalm(google_api_key="fake", top_p=2.0)  # type: ignore[arg-type, call-arg]
     assert "must be in the range" in str(e)
 
 
 def test_chat_google_raises_with_invalid_top_k() -> None:
     pytest.importorskip("google.generativeai")
     with pytest.raises(ValueError) as e:
-        ChatGooglePalm(google_api_key="fake", top_k=-5)
+        ChatGooglePalm(google_api_key="fake", top_k=-5)  # type: ignore[arg-type, call-arg]
     assert "must be positive" in str(e)
diff --git a/libs/community/tests/unit_tests/chat_models/test_kinetica.py b/libs/community/tests/unit_tests/chat_models/test_kinetica.py
index 8dd6239739..efc15dc6c1 100644
--- a/libs/community/tests/unit_tests/chat_models/test_kinetica.py
+++ b/libs/community/tests/unit_tests/chat_models/test_kinetica.py
@@ -55,7 +55,7 @@ class TestChatKinetica:
 
         monkeypatch.setattr(ChatKinetica, "_execute_sql", patch_execute_sql)
 
-        kinetica_llm = ChatKinetica()
+        kinetica_llm = ChatKinetica()  # type: ignore[call-arg]
 
         test_messages = kinetica_llm.load_messages_from_context("test")
         LOG.info(f"test_messages: {test_messages}")
diff --git a/libs/community/tests/unit_tests/chat_models/test_openai.py b/libs/community/tests/unit_tests/chat_models/test_openai.py
index 6a59bce98a..8315821ed3 100644
--- a/libs/community/tests/unit_tests/chat_models/test_openai.py
+++ b/libs/community/tests/unit_tests/chat_models/test_openai.py
@@ -17,9 +17,9 @@ from langchain_community.chat_models.openai import ChatOpenAI
 
 @pytest.mark.requires("openai")
 def test_openai_model_param() -> None:
-    llm = ChatOpenAI(model="foo", openai_api_key="foo")
+    llm = ChatOpenAI(model="foo", openai_api_key="foo")  # type: ignore[call-arg]
     assert llm.model_name == "foo"
-    llm = ChatOpenAI(model_name="foo", openai_api_key="foo")
+    llm = ChatOpenAI(model_name="foo", openai_api_key="foo")  # type: ignore[call-arg]
     assert llm.model_name == "foo"
 
 
@@ -81,7 +81,7 @@ def mock_completion() -> dict:
 
 @pytest.mark.requires("openai")
 def test_openai_predict(mock_completion: dict) -> None:
-    llm = ChatOpenAI(openai_api_key="foo")
+    llm = ChatOpenAI(openai_api_key="foo")  # type: ignore[call-arg]
     mock_client = MagicMock()
     completed = False
 
@@ -103,7 +103,7 @@ def test_openai_predict(mock_completion: dict) -> None:
 
 @pytest.mark.requires("openai")
 async def test_openai_apredict(mock_completion: dict) -> None:
-    llm = ChatOpenAI(openai_api_key="foo")
+    llm = ChatOpenAI(openai_api_key="foo")  # type: ignore[call-arg]
     mock_client = MagicMock()
     completed = False
 
diff --git a/libs/community/tests/unit_tests/chat_models/test_perplexity.py b/libs/community/tests/unit_tests/chat_models/test_perplexity.py
index 1ae6cd8b5f..024274f7e8 100644
--- a/libs/community/tests/unit_tests/chat_models/test_perplexity.py
+++ b/libs/community/tests/unit_tests/chat_models/test_perplexity.py
@@ -11,13 +11,13 @@ os.environ["PPLX_API_KEY"] = "foo"
 
 @pytest.mark.requires("openai")
 def test_perplexity_model_name_param() -> None:
-    llm = ChatPerplexity(model="foo")
+    llm = ChatPerplexity(model="foo")  # type: ignore[call-arg]
     assert llm.model == "foo"
 
 
 @pytest.mark.requires("openai")
 def test_perplexity_model_kwargs() -> None:
-    llm = ChatPerplexity(model="test", model_kwargs={"foo": "bar"})
+    llm = ChatPerplexity(model="test", model_kwargs={"foo": "bar"})  # type: ignore[call-arg]
     assert llm.model_kwargs == {"foo": "bar"}
 
 
@@ -27,10 +27,10 @@ def test_perplexity_initialization() -> None:
     # Verify that chat perplexity can be initialized using a secret key provided
     # as a parameter rather than an environment variable.
     for model in [
-        ChatPerplexity(
+        ChatPerplexity(  # type: ignore[call-arg]
             model="test", timeout=1, api_key="test", temperature=0.7, verbose=True
         ),
-        ChatPerplexity(
+        ChatPerplexity(  # type: ignore[call-arg]
             model="test",
             request_timeout=1,
             pplx_api_key="test",
diff --git a/libs/community/tests/unit_tests/chat_models/test_premai.py b/libs/community/tests/unit_tests/chat_models/test_premai.py
index ac5299f76f..8318fc890a 100644
--- a/libs/community/tests/unit_tests/chat_models/test_premai.py
+++ b/libs/community/tests/unit_tests/chat_models/test_premai.py
@@ -13,7 +13,7 @@ from langchain_community.chat_models.premai import _messages_to_prompt_dict
 
 @pytest.mark.requires("premai")
 def test_api_key_is_string() -> None:
-    llm = ChatPremAI(premai_api_key="secret-api-key", project_id=8)
+    llm = ChatPremAI(premai_api_key="secret-api-key", project_id=8)  # type: ignore[call-arg]
     assert isinstance(llm.premai_api_key, SecretStr)
 
 
@@ -21,7 +21,7 @@ def test_api_key_is_string() -> None:
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = ChatPremAI(premai_api_key="secret-api-key", project_id=8)
+    llm = ChatPremAI(premai_api_key="secret-api-key", project_id=8)  # type: ignore[call-arg]
     print(llm.premai_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -52,8 +52,8 @@ def test_messages_to_prompt_dict_with_valid_messages() -> None:
 @pytest.mark.requires("premai")
 def test_premai_initialization() -> None:
     for model in [
-        ChatPremAI(model="prem-ai-model", premai_api_key="xyz", project_id=8),
-        ChatPremAI(model_name="prem-ai-model", api_key="xyz", project_id=8),
+        ChatPremAI(model="prem-ai-model", premai_api_key="xyz", project_id=8),  # type: ignore[call-arg]
+        ChatPremAI(model_name="prem-ai-model", api_key="xyz", project_id=8),  # type: ignore[arg-type, call-arg]
     ]:
         assert model.model == "prem-ai-model"
         assert cast(SecretStr, model.premai_api_key).get_secret_value() == "xyz"
diff --git a/libs/community/tests/unit_tests/chat_models/test_tongyi.py b/libs/community/tests/unit_tests/chat_models/test_tongyi.py
index 62421b3e61..8bb20abc6b 100644
--- a/libs/community/tests/unit_tests/chat_models/test_tongyi.py
+++ b/libs/community/tests/unit_tests/chat_models/test_tongyi.py
@@ -58,7 +58,7 @@ def test__convert_dict_to_message_function_call() -> None:
     expected_output = AIMessage(
         content="foo",
         additional_kwargs={"tool_calls": raw_function_calls},
-        tool_calls=tool_calls,
+        tool_calls=tool_calls,  # type: ignore[arg-type]
         invalid_tool_calls=[],
     )
     assert result == expected_output
diff --git a/libs/community/tests/unit_tests/chat_models/test_yuan2.py b/libs/community/tests/unit_tests/chat_models/test_yuan2.py
index c5253375d3..74b2fb84cf 100644
--- a/libs/community/tests/unit_tests/chat_models/test_yuan2.py
+++ b/libs/community/tests/unit_tests/chat_models/test_yuan2.py
@@ -16,9 +16,9 @@ from langchain_community.chat_models.yuan2 import (
 
 @pytest.mark.requires("openai")
 def test_yuan2_model_param() -> None:
-    chat = ChatYuan2(model="foo")
+    chat = ChatYuan2(model="foo")  # type: ignore[call-arg]
     assert chat.model_name == "foo"
-    chat = ChatYuan2(model_name="foo")
+    chat = ChatYuan2(model_name="foo")  # type: ignore[call-arg]
     assert chat.model_name == "foo"
 
 
diff --git a/libs/community/tests/unit_tests/chat_models/test_zhipuai.py b/libs/community/tests/unit_tests/chat_models/test_zhipuai.py
index 31d6412885..5295b6f340 100644
--- a/libs/community/tests/unit_tests/chat_models/test_zhipuai.py
+++ b/libs/community/tests/unit_tests/chat_models/test_zhipuai.py
@@ -9,5 +9,5 @@ from langchain_community.chat_models.zhipuai import ChatZhipuAI
 def test_zhipuai_model_param() -> None:
     llm = ChatZhipuAI(api_key="test", model="foo")
     assert llm.model_name == "foo"
-    llm = ChatZhipuAI(api_key="test", model_name="foo")
+    llm = ChatZhipuAI(api_key="test", model_name="foo")  # type: ignore[call-arg]
     assert llm.model_name == "foo"
diff --git a/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_schema.py b/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_schema.py
index 15ed29af43..8829b227cf 100644
--- a/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_schema.py
+++ b/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_schema.py
@@ -120,10 +120,10 @@ def test_mime_type_inference(
 def test_blob_initialization_validator() -> None:
     """Test that blob initialization validates the arguments."""
     with pytest.raises(ValueError, match="Either data or path must be provided"):
-        Blob()
+        Blob()  # type: ignore[call-arg]
 
     assert Blob(data=b"Hello, World!") is not None
-    assert Blob(path="some_path") is not None
+    assert Blob(path="some_path") is not None  # type: ignore[call-arg]
 
 
 def test_blob_loader() -> None:
diff --git a/libs/community/tests/unit_tests/document_loaders/loaders/vendors/test_docugami.py b/libs/community/tests/unit_tests/document_loaders/loaders/vendors/test_docugami.py
index 17d0ee238a..d6c4118228 100644
--- a/libs/community/tests/unit_tests/document_loaders/loaders/vendors/test_docugami.py
+++ b/libs/community/tests/unit_tests/document_loaders/loaders/vendors/test_docugami.py
@@ -11,7 +11,7 @@ DOCUGAMI_XML_PATH = Path(__file__).parent / "test_data" / "docugami-example.xml"
 @pytest.mark.requires("dgml_utils")
 def test_docugami_loader_local() -> None:
     """Test DocugamiLoader."""
-    loader = DocugamiLoader(file_paths=[DOCUGAMI_XML_PATH])
+    loader = DocugamiLoader(file_paths=[DOCUGAMI_XML_PATH])  # type: ignore[call-arg]
     docs = loader.load()
 
     assert len(docs) == 25
@@ -24,4 +24,4 @@ def test_docugami_loader_local() -> None:
 
 def test_docugami_initialization() -> None:
     """Test correct initialization in remote mode."""
-    DocugamiLoader(access_token="test", docset_id="123")
+    DocugamiLoader(access_token="test", docset_id="123")  # type: ignore[call-arg]
diff --git a/libs/community/tests/unit_tests/document_loaders/test_github.py b/libs/community/tests/unit_tests/document_loaders/test_github.py
index bc00d37544..544681f0ae 100644
--- a/libs/community/tests/unit_tests/document_loaders/test_github.py
+++ b/libs/community/tests/unit_tests/document_loaders/test_github.py
@@ -38,19 +38,19 @@ def test_initialization_ghe() -> None:
 def test_invalid_initialization() -> None:
     # Invalid parameter
     with pytest.raises(ValueError):
-        GitHubIssuesLoader(invalid="parameter")
+        GitHubIssuesLoader(invalid="parameter")  # type: ignore[call-arg]
 
     # Invalid value for valid parameter
     with pytest.raises(ValueError):
-        GitHubIssuesLoader(state="invalid_state")
+        GitHubIssuesLoader(state="invalid_state")  # type: ignore[arg-type, call-arg]
 
     # Invalid type for labels
     with pytest.raises(ValueError):
-        GitHubIssuesLoader(labels="not_a_list")
+        GitHubIssuesLoader(labels="not_a_list")  # type: ignore[arg-type, call-arg]
 
     # Invalid date format for since
     with pytest.raises(ValueError):
-        GitHubIssuesLoader(since="not_a_date")
+        GitHubIssuesLoader(since="not_a_date")  # type: ignore[call-arg]
 
 
 def test_load_github_issue(mocker: MockerFixture) -> None:
@@ -171,7 +171,7 @@ def test_github_file_content_get_file_paths(mocker: MockerFixture) -> None:
     assert files[0]["path"] == "readme.md"
 
     # case2: didn't add file_filter
-    loader = GithubFileLoader(
+    loader = GithubFileLoader(  # type: ignore[call-arg]
         repo="shufanhao/langchain",
         access_token="access_token",
         github_api_url="https://github.com",
@@ -220,7 +220,7 @@ def test_github_file_content_loader(mocker: MockerFixture) -> None:
     mocker.patch("requests.get", side_effect=[file_path_res, file_content_res])
 
     # case1: file_extension=".md"
-    loader = GithubFileLoader(
+    loader = GithubFileLoader(  # type: ignore[call-arg]
         repo="shufanhao/langchain",
         access_token="access_token",
         github_api_url="https://github.com",
diff --git a/libs/community/tests/unit_tests/embeddings/test_edenai.py b/libs/community/tests/unit_tests/embeddings/test_edenai.py
index ba2e05c72e..d80c2279f8 100644
--- a/libs/community/tests/unit_tests/embeddings/test_edenai.py
+++ b/libs/community/tests/unit_tests/embeddings/test_edenai.py
@@ -7,14 +7,14 @@ from langchain_community.embeddings import EdenAiEmbeddings
 
 
 def test_api_key_is_string() -> None:
-    llm = EdenAiEmbeddings(edenai_api_key="secret-api-key")
+    llm = EdenAiEmbeddings(edenai_api_key="secret-api-key")  # type: ignore[arg-type]
     assert isinstance(llm.edenai_api_key, SecretStr)
 
 
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = EdenAiEmbeddings(edenai_api_key="secret-api-key")
+    llm = EdenAiEmbeddings(edenai_api_key="secret-api-key")  # type: ignore[arg-type]
     print(llm.edenai_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
diff --git a/libs/community/tests/unit_tests/embeddings/test_embaas.py b/libs/community/tests/unit_tests/embeddings/test_embaas.py
index b62092a2aa..d631be8036 100644
--- a/libs/community/tests/unit_tests/embeddings/test_embaas.py
+++ b/libs/community/tests/unit_tests/embeddings/test_embaas.py
@@ -7,14 +7,14 @@ from langchain_community.embeddings import EmbaasEmbeddings
 
 
 def test_api_key_is_string() -> None:
-    llm = EmbaasEmbeddings(embaas_api_key="secret-api-key")
+    llm = EmbaasEmbeddings(embaas_api_key="secret-api-key")  # type: ignore[arg-type]
     assert isinstance(llm.embaas_api_key, SecretStr)
 
 
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = EmbaasEmbeddings(embaas_api_key="secret-api-key")
+    llm = EmbaasEmbeddings(embaas_api_key="secret-api-key")  # type: ignore[arg-type]
     print(llm.embaas_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
diff --git a/libs/community/tests/unit_tests/embeddings/test_huggingface.py b/libs/community/tests/unit_tests/embeddings/test_huggingface.py
index 22f91acb8a..f22a104e82 100644
--- a/libs/community/tests/unit_tests/embeddings/test_huggingface.py
+++ b/libs/community/tests/unit_tests/embeddings/test_huggingface.py
@@ -3,5 +3,5 @@ from langchain_community.embeddings.huggingface import HuggingFaceInferenceAPIEm
 
 def test_hugginggface_inferenceapi_embedding_documents_init() -> None:
     """Test huggingface embeddings."""
-    embedding = HuggingFaceInferenceAPIEmbeddings(api_key="abcd123")
+    embedding = HuggingFaceInferenceAPIEmbeddings(api_key="abcd123")  # type: ignore[arg-type]
     assert "abcd123" not in repr(embedding)
diff --git a/libs/community/tests/unit_tests/embeddings/test_llm_rails.py b/libs/community/tests/unit_tests/embeddings/test_llm_rails.py
index 0715efcb4c..ccc6ff0d77 100644
--- a/libs/community/tests/unit_tests/embeddings/test_llm_rails.py
+++ b/libs/community/tests/unit_tests/embeddings/test_llm_rails.py
@@ -7,14 +7,14 @@ from langchain_community.embeddings import LLMRailsEmbeddings
 
 
 def test_api_key_is_string() -> None:
-    llm = LLMRailsEmbeddings(api_key="secret-api-key")
+    llm = LLMRailsEmbeddings(api_key="secret-api-key")  # type: ignore[arg-type]
     assert isinstance(llm.api_key, SecretStr)
 
 
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = LLMRailsEmbeddings(api_key="secret-api-key")
+    llm = LLMRailsEmbeddings(api_key="secret-api-key")  # type: ignore[arg-type]
     print(llm.api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
diff --git a/libs/community/tests/unit_tests/embeddings/test_oci_gen_ai_embedding.py b/libs/community/tests/unit_tests/embeddings/test_oci_gen_ai_embedding.py
index d43f3108b9..1262705c6f 100644
--- a/libs/community/tests/unit_tests/embeddings/test_oci_gen_ai_embedding.py
+++ b/libs/community/tests/unit_tests/embeddings/test_oci_gen_ai_embedding.py
@@ -19,7 +19,7 @@ class MockResponseDict(dict):
 def test_embedding_call(monkeypatch: MonkeyPatch, test_model_id: str) -> None:
     """Test valid call to OCI Generative AI embedding service."""
     oci_gen_ai_client = MagicMock()
-    embeddings = OCIGenAIEmbeddings(
+    embeddings = OCIGenAIEmbeddings(  # type: ignore[call-arg]
         model_id=test_model_id,
         service_endpoint="https://inference.generativeai.us-chicago-1.oci.oraclecloud.com",
         client=oci_gen_ai_client,
diff --git a/libs/community/tests/unit_tests/embeddings/test_openai.py b/libs/community/tests/unit_tests/embeddings/test_openai.py
index c9499722ff..e62bee5f94 100644
--- a/libs/community/tests/unit_tests/embeddings/test_openai.py
+++ b/libs/community/tests/unit_tests/embeddings/test_openai.py
@@ -12,5 +12,5 @@ def test_openai_invalid_model_kwargs() -> None:
 @pytest.mark.requires("openai")
 def test_openai_incorrect_field() -> None:
     with pytest.warns(match="not default parameter"):
-        llm = OpenAIEmbeddings(foo="bar", openai_api_key="foo")
+        llm = OpenAIEmbeddings(foo="bar", openai_api_key="foo")  # type: ignore[call-arg]
     assert llm.model_kwargs == {"foo": "bar"}
diff --git a/libs/community/tests/unit_tests/embeddings/test_premai.py b/libs/community/tests/unit_tests/embeddings/test_premai.py
index 3b06b19026..3d1b2b7744 100644
--- a/libs/community/tests/unit_tests/embeddings/test_premai.py
+++ b/libs/community/tests/unit_tests/embeddings/test_premai.py
@@ -9,8 +9,10 @@ from langchain_community.embeddings import PremAIEmbeddings
 
 @pytest.mark.requires("premai")
 def test_api_key_is_string() -> None:
-    llm = PremAIEmbeddings(
-        premai_api_key="secret-api-key", project_id=8, model="fake-model"
+    llm = PremAIEmbeddings(  # type: ignore[call-arg]
+        premai_api_key="secret-api-key",  # type: ignore[arg-type]
+        project_id=8,
+        model="fake-model",  # type: ignore[arg-type]
     )
     assert isinstance(llm.premai_api_key, SecretStr)
 
@@ -19,8 +21,10 @@ def test_api_key_is_string() -> None:
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = PremAIEmbeddings(
-        premai_api_key="secret-api-key", project_id=8, model="fake-model"
+    llm = PremAIEmbeddings(  # type: ignore[call-arg]
+        premai_api_key="secret-api-key",  # type: ignore[arg-type]
+        project_id=8,
+        model="fake-model",  # type: ignore[arg-type]
     )
     print(llm.premai_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
diff --git a/libs/community/tests/unit_tests/embeddings/test_yandex.py b/libs/community/tests/unit_tests/embeddings/test_yandex.py
index 2593927799..c681af05a2 100644
--- a/libs/community/tests/unit_tests/embeddings/test_yandex.py
+++ b/libs/community/tests/unit_tests/embeddings/test_yandex.py
@@ -6,12 +6,12 @@ from langchain_community.embeddings import YandexGPTEmbeddings
 def test_init() -> None:
     os.environ["YC_API_KEY"] = "foo"
     models = [
-        YandexGPTEmbeddings(folder_id="bar"),
-        YandexGPTEmbeddings(
+        YandexGPTEmbeddings(folder_id="bar"),  # type: ignore[call-arg]
+        YandexGPTEmbeddings(  # type: ignore[call-arg]
             query_model_uri="emb://bar/text-search-query/latest",
             doc_model_uri="emb://bar/text-search-doc/latest",
         ),
-        YandexGPTEmbeddings(
+        YandexGPTEmbeddings(  # type: ignore[call-arg]
             folder_id="bar",
             query_model_name="text-search-query",
             doc_model_name="text-search-doc",
diff --git a/libs/community/tests/unit_tests/llms/test_ai21.py b/libs/community/tests/unit_tests/llms/test_ai21.py
index 4e111fe1ea..788364da0c 100644
--- a/libs/community/tests/unit_tests/llms/test_ai21.py
+++ b/libs/community/tests/unit_tests/llms/test_ai21.py
@@ -9,7 +9,7 @@ from langchain_community.llms.ai21 import AI21
 
 
 def test_api_key_is_secret_string() -> None:
-    llm = AI21(ai21_api_key="secret-api-key")
+    llm = AI21(ai21_api_key="secret-api-key")  # type: ignore[arg-type]
     assert isinstance(llm.ai21_api_key, SecretStr)
 
 
@@ -29,7 +29,7 @@ def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
     """Test initialization with an API key provided via the initializer"""
-    llm = AI21(ai21_api_key="secret-api-key")
+    llm = AI21(ai21_api_key="secret-api-key")  # type: ignore[arg-type]
     print(llm.ai21_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -38,5 +38,5 @@ def test_api_key_masked_when_passed_via_constructor(
 
 def test_uses_actual_secret_value_from_secretstr() -> None:
     """Test that actual secret is retrieved using `.get_secret_value()`."""
-    llm = AI21(ai21_api_key="secret-api-key")
+    llm = AI21(ai21_api_key="secret-api-key")  # type: ignore[arg-type]
     assert cast(SecretStr, llm.ai21_api_key).get_secret_value() == "secret-api-key"
diff --git a/libs/community/tests/unit_tests/llms/test_aleph_alpha.py b/libs/community/tests/unit_tests/llms/test_aleph_alpha.py
index da3ac1f992..ae09ecd116 100644
--- a/libs/community/tests/unit_tests/llms/test_aleph_alpha.py
+++ b/libs/community/tests/unit_tests/llms/test_aleph_alpha.py
@@ -9,7 +9,7 @@ from langchain_community.llms.aleph_alpha import AlephAlpha
 
 @pytest.mark.requires("aleph_alpha_client")
 def test_api_key_is_secret_string() -> None:
-    llm = AlephAlpha(aleph_alpha_api_key="secret-api-key")
+    llm = AlephAlpha(aleph_alpha_api_key="secret-api-key")  # type: ignore[call-arg]
     assert isinstance(llm.aleph_alpha_api_key, SecretStr)
 
 
@@ -17,7 +17,7 @@ def test_api_key_is_secret_string() -> None:
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = AlephAlpha(aleph_alpha_api_key="secret-api-key")
+    llm = AlephAlpha(aleph_alpha_api_key="secret-api-key")  # type: ignore[call-arg]
     print(llm.aleph_alpha_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -29,7 +29,7 @@ def test_api_key_masked_when_passed_from_env(
     monkeypatch: MonkeyPatch, capsys: CaptureFixture
 ) -> None:
     monkeypatch.setenv("ALEPH_ALPHA_API_KEY", "secret-api-key")
-    llm = AlephAlpha()
+    llm = AlephAlpha()  # type: ignore[call-arg]
     print(llm.aleph_alpha_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
diff --git a/libs/community/tests/unit_tests/llms/test_anyscale.py b/libs/community/tests/unit_tests/llms/test_anyscale.py
index 155c4e9c10..c5896f540c 100644
--- a/libs/community/tests/unit_tests/llms/test_anyscale.py
+++ b/libs/community/tests/unit_tests/llms/test_anyscale.py
@@ -9,7 +9,7 @@ from langchain_community.llms.anyscale import Anyscale
 
 @pytest.mark.requires("openai")
 def test_api_key_is_secret_string() -> None:
-    llm = Anyscale(anyscale_api_key="secret-api-key", anyscale_api_base="test")
+    llm = Anyscale(anyscale_api_key="secret-api-key", anyscale_api_base="test")  # type: ignore[arg-type]
     assert isinstance(llm.anyscale_api_key, SecretStr)
 
 
@@ -31,7 +31,7 @@ def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
     """Test initialization with an API key provided via the initializer"""
-    llm = Anyscale(anyscale_api_key="secret-api-key", anyscale_api_base="test")
+    llm = Anyscale(anyscale_api_key="secret-api-key", anyscale_api_base="test")  # type: ignore[arg-type]
     print(llm.anyscale_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
diff --git a/libs/community/tests/unit_tests/llms/test_bananadev.py b/libs/community/tests/unit_tests/llms/test_bananadev.py
index ea219cc815..163606a8a2 100644
--- a/libs/community/tests/unit_tests/llms/test_bananadev.py
+++ b/libs/community/tests/unit_tests/llms/test_bananadev.py
@@ -8,7 +8,7 @@ from langchain_community.llms.bananadev import Banana
 
 
 def test_api_key_is_secret_string() -> None:
-    llm = Banana(banana_api_key="secret-api-key")
+    llm = Banana(banana_api_key="secret-api-key")  # type: ignore[arg-type]
     assert isinstance(llm.banana_api_key, SecretStr)
 
 
@@ -28,7 +28,7 @@ def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
     """Test initialization with an API key provided via the initializer"""
-    llm = Banana(banana_api_key="secret-api-key")
+    llm = Banana(banana_api_key="secret-api-key")  # type: ignore[arg-type]
     print(llm.banana_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -37,5 +37,5 @@ def test_api_key_masked_when_passed_via_constructor(
 
 def test_uses_actual_secret_value_from_secretstr() -> None:
     """Test that actual secret is retrieved using `.get_secret_value()`."""
-    llm = Banana(banana_api_key="secret-api-key")
+    llm = Banana(banana_api_key="secret-api-key")  # type: ignore[arg-type]
     assert cast(SecretStr, llm.banana_api_key).get_secret_value() == "secret-api-key"
diff --git a/libs/community/tests/unit_tests/llms/test_cerebriumai.py b/libs/community/tests/unit_tests/llms/test_cerebriumai.py
index 7462b612e5..87e0439870 100644
--- a/libs/community/tests/unit_tests/llms/test_cerebriumai.py
+++ b/libs/community/tests/unit_tests/llms/test_cerebriumai.py
@@ -7,12 +7,12 @@ from langchain_community.llms.cerebriumai import CerebriumAI
 
 
 def test_api_key_is_secret_string() -> None:
-    llm = CerebriumAI(cerebriumai_api_key="test-cerebriumai-api-key")
+    llm = CerebriumAI(cerebriumai_api_key="test-cerebriumai-api-key")  # type: ignore[arg-type]
     assert isinstance(llm.cerebriumai_api_key, SecretStr)
 
 
 def test_api_key_masked_when_passed_via_constructor(capsys: CaptureFixture) -> None:
-    llm = CerebriumAI(cerebriumai_api_key="secret-api-key")
+    llm = CerebriumAI(cerebriumai_api_key="secret-api-key")  # type: ignore[arg-type]
     print(llm.cerebriumai_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
diff --git a/libs/community/tests/unit_tests/llms/test_forefrontai.py b/libs/community/tests/unit_tests/llms/test_forefrontai.py
index e9cc97c0c5..711cb2186b 100644
--- a/libs/community/tests/unit_tests/llms/test_forefrontai.py
+++ b/libs/community/tests/unit_tests/llms/test_forefrontai.py
@@ -10,7 +10,7 @@ from langchain_community.llms.forefrontai import ForefrontAI
 
 def test_forefrontai_api_key_is_secret_string() -> None:
     """Test that the API key is stored as a SecretStr."""
-    llm = ForefrontAI(forefrontai_api_key="secret-api-key", temperature=0.2)
+    llm = ForefrontAI(forefrontai_api_key="secret-api-key", temperature=0.2)  # type: ignore[arg-type]
     assert isinstance(llm.forefrontai_api_key, SecretStr)
 
 
@@ -19,7 +19,7 @@ def test_forefrontai_api_key_masked_when_passed_from_env(
 ) -> None:
     """Test that the API key is masked when passed from an environment variable."""
     monkeypatch.setenv("FOREFRONTAI_API_KEY", "secret-api-key")
-    llm = ForefrontAI(temperature=0.2)
+    llm = ForefrontAI(temperature=0.2)  # type: ignore[call-arg]
     print(llm.forefrontai_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -31,7 +31,7 @@ def test_forefrontai_api_key_masked_when_passed_via_constructor(
 ) -> None:
     """Test that the API key is masked when passed via the constructor."""
     llm = ForefrontAI(
-        forefrontai_api_key="secret-api-key",
+        forefrontai_api_key="secret-api-key",  # type: ignore[arg-type]
         temperature=0.2,
     )
     print(llm.forefrontai_api_key, end="")  # noqa: T201
@@ -43,7 +43,7 @@ def test_forefrontai_api_key_masked_when_passed_via_constructor(
 def test_forefrontai_uses_actual_secret_value_from_secretstr() -> None:
     """Test that the actual secret value is correctly retrieved."""
     llm = ForefrontAI(
-        forefrontai_api_key="secret-api-key",
+        forefrontai_api_key="secret-api-key",  # type: ignore[arg-type]
         temperature=0.2,
     )
     assert (
diff --git a/libs/community/tests/unit_tests/llms/test_friendli.py b/libs/community/tests/unit_tests/llms/test_friendli.py
index dae9eadf89..d55d6d14fa 100644
--- a/libs/community/tests/unit_tests/llms/test_friendli.py
+++ b/libs/community/tests/unit_tests/llms/test_friendli.py
@@ -38,7 +38,7 @@ def friendli_llm(
 def test_friendli_token_is_secret_string(capsys: CaptureFixture) -> None:
     """Test if friendli token is stored as a SecretStr."""
     fake_token_value = "personal-access-token"
-    chat = Friendli(friendli_token=fake_token_value)
+    chat = Friendli(friendli_token=fake_token_value)  # type: ignore[arg-type]
     assert isinstance(chat.friendli_token, SecretStr)
     assert chat.friendli_token.get_secret_value() == fake_token_value
     print(chat.friendli_token, end="")  # noqa: T201
diff --git a/libs/community/tests/unit_tests/llms/test_gooseai.py b/libs/community/tests/unit_tests/llms/test_gooseai.py
index e87dd6f40d..be467b6175 100644
--- a/libs/community/tests/unit_tests/llms/test_gooseai.py
+++ b/libs/community/tests/unit_tests/llms/test_gooseai.py
@@ -17,7 +17,7 @@ def _openai_v1_installed() -> bool:
 
 @pytest.mark.requires("openai")
 def test_api_key_is_secret_string() -> None:
-    llm = GooseAI(gooseai_api_key="secret-api-key")
+    llm = GooseAI(gooseai_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     assert isinstance(llm.gooseai_api_key, SecretStr)
     assert llm.gooseai_api_key.get_secret_value() == "secret-api-key"
 
@@ -27,7 +27,7 @@ def test_api_key_is_secret_string() -> None:
 )
 @pytest.mark.requires("openai")
 def test_api_key_masked_when_passed_via_constructor() -> None:
-    llm = GooseAI(gooseai_api_key="secret-api-key")
+    llm = GooseAI(gooseai_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     assert str(llm.gooseai_api_key) == "**********"
     assert "secret-api-key" not in repr(llm.gooseai_api_key)
     assert "secret-api-key" not in repr(llm)
@@ -40,7 +40,7 @@ def test_api_key_masked_when_passed_via_constructor() -> None:
 def test_api_key_masked_when_passed_from_env() -> None:
     with MonkeyPatch.context() as mp:
         mp.setenv("GOOSEAI_API_KEY", "secret-api-key")
-        llm = GooseAI()
+        llm = GooseAI()  # type: ignore[call-arg]
         assert str(llm.gooseai_api_key) == "**********"
         assert "secret-api-key" not in repr(llm.gooseai_api_key)
         assert "secret-api-key" not in repr(llm)
diff --git a/libs/community/tests/unit_tests/llms/test_minimax.py b/libs/community/tests/unit_tests/llms/test_minimax.py
index f92a140239..ef128ea1d5 100644
--- a/libs/community/tests/unit_tests/llms/test_minimax.py
+++ b/libs/community/tests/unit_tests/llms/test_minimax.py
@@ -9,7 +9,7 @@ from langchain_community.llms.minimax import Minimax
 
 
 def test_api_key_is_secret_string() -> None:
-    llm = Minimax(minimax_api_key="secret-api-key", minimax_group_id="group_id")
+    llm = Minimax(minimax_api_key="secret-api-key", minimax_group_id="group_id")  # type: ignore[arg-type, call-arg]
     assert isinstance(llm.minimax_api_key, SecretStr)
 
 
@@ -19,7 +19,7 @@ def test_api_key_masked_when_passed_from_env(
     """Test initialization with an API key provided via an env variable"""
     monkeypatch.setenv("MINIMAX_API_KEY", "secret-api-key")
     monkeypatch.setenv("MINIMAX_GROUP_ID", "group_id")
-    llm = Minimax()
+    llm = Minimax()  # type: ignore[call-arg]
     print(llm.minimax_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -30,7 +30,7 @@ def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
     """Test initialization with an API key provided via the initializer"""
-    llm = Minimax(minimax_api_key="secret-api-key", minimax_group_id="group_id")
+    llm = Minimax(minimax_api_key="secret-api-key", minimax_group_id="group_id")  # type: ignore[arg-type, call-arg]
     print(llm.minimax_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -39,5 +39,5 @@ def test_api_key_masked_when_passed_via_constructor(
 
 def test_uses_actual_secret_value_from_secretstr() -> None:
     """Test that actual secret is retrieved using `.get_secret_value()`."""
-    llm = Minimax(minimax_api_key="secret-api-key", minimax_group_id="group_id")
+    llm = Minimax(minimax_api_key="secret-api-key", minimax_group_id="group_id")  # type: ignore[arg-type, call-arg]
     assert cast(SecretStr, llm.minimax_api_key).get_secret_value() == "secret-api-key"
diff --git a/libs/community/tests/unit_tests/llms/test_moonshot.py b/libs/community/tests/unit_tests/llms/test_moonshot.py
index 182a61459f..fda1a5298f 100644
--- a/libs/community/tests/unit_tests/llms/test_moonshot.py
+++ b/libs/community/tests/unit_tests/llms/test_moonshot.py
@@ -9,7 +9,7 @@ os.environ["MOONSHOT_API_KEY"] = "key"
 
 @pytest.mark.requires("openai")
 def test_moonshot_model_param() -> None:
-    llm = Moonshot(model="foo")
+    llm = Moonshot(model="foo")  # type: ignore[call-arg]
     assert llm.model_name == "foo"
-    llm = Moonshot(model_name="bar")
+    llm = Moonshot(model_name="bar")  # type: ignore[call-arg]
     assert llm.model_name == "bar"
diff --git a/libs/community/tests/unit_tests/llms/test_openai.py b/libs/community/tests/unit_tests/llms/test_openai.py
index 73f6fad283..83b229d8c2 100644
--- a/libs/community/tests/unit_tests/llms/test_openai.py
+++ b/libs/community/tests/unit_tests/llms/test_openai.py
@@ -13,15 +13,15 @@ def _openai_v1_installed() -> bool:
 
 @pytest.mark.requires("openai")
 def test_openai_model_param() -> None:
-    llm = OpenAI(model="foo", openai_api_key="foo")
+    llm = OpenAI(model="foo", openai_api_key="foo")  # type: ignore[call-arg]
     assert llm.model_name == "foo"
-    llm = OpenAI(model_name="foo", openai_api_key="foo")
+    llm = OpenAI(model_name="foo", openai_api_key="foo")  # type: ignore[call-arg]
     assert llm.model_name == "foo"
 
 
 @pytest.mark.requires("openai")
 def test_openai_model_kwargs() -> None:
-    llm = OpenAI(model_kwargs={"foo": "bar"}, openai_api_key="foo")
+    llm = OpenAI(model_kwargs={"foo": "bar"}, openai_api_key="foo")  # type: ignore[call-arg]
     assert llm.model_kwargs == {"foo": "bar"}
 
 
@@ -38,7 +38,7 @@ def test_openai_invalid_model_kwargs() -> None:
 @pytest.mark.requires("openai")
 def test_openai_incorrect_field() -> None:
     with pytest.warns(match="not default parameter"):
-        llm = OpenAI(foo="bar", openai_api_key="foo")
+        llm = OpenAI(foo="bar", openai_api_key="foo")  # type: ignore[call-arg]
     assert llm.model_kwargs == {"foo": "bar"}
 
 
diff --git a/libs/community/tests/unit_tests/llms/test_pipelineai.py b/libs/community/tests/unit_tests/llms/test_pipelineai.py
index afa91752ab..3a8513650f 100644
--- a/libs/community/tests/unit_tests/llms/test_pipelineai.py
+++ b/libs/community/tests/unit_tests/llms/test_pipelineai.py
@@ -5,14 +5,14 @@ from langchain_community.llms.pipelineai import PipelineAI
 
 
 def test_api_key_is_string() -> None:
-    llm = PipelineAI(pipeline_api_key="secret-api-key")
+    llm = PipelineAI(pipeline_api_key="secret-api-key")  # type: ignore[arg-type]
     assert isinstance(llm.pipeline_api_key, SecretStr)
 
 
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = PipelineAI(pipeline_api_key="secret-api-key")
+    llm = PipelineAI(pipeline_api_key="secret-api-key")  # type: ignore[arg-type]
     print(llm.pipeline_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
diff --git a/libs/community/tests/unit_tests/llms/test_predibase.py b/libs/community/tests/unit_tests/llms/test_predibase.py
index e2b2dc128d..bb8245f1ef 100644
--- a/libs/community/tests/unit_tests/llms/test_predibase.py
+++ b/libs/community/tests/unit_tests/llms/test_predibase.py
@@ -5,14 +5,14 @@ from langchain_community.llms.predibase import Predibase
 
 
 def test_api_key_is_string() -> None:
-    llm = Predibase(model="my_llm", predibase_api_key="secret-api-key")
+    llm = Predibase(model="my_llm", predibase_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     assert isinstance(llm.predibase_api_key, SecretStr)
 
 
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = Predibase(model="my_llm", predibase_api_key="secret-api-key")
+    llm = Predibase(model="my_llm", predibase_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     print(llm.predibase_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
@@ -20,36 +20,36 @@ def test_api_key_masked_when_passed_via_constructor(
 
 
 def test_specifying_predibase_sdk_version_argument() -> None:
-    llm = Predibase(
+    llm = Predibase(  # type: ignore[call-arg]
         model="my_llm",
-        predibase_api_key="secret-api-key",
+        predibase_api_key="secret-api-key",  # type: ignore[arg-type]
     )
     assert not llm.predibase_sdk_version
 
     legacy_predibase_sdk_version = "2024.4.8"
-    llm = Predibase(
+    llm = Predibase(  # type: ignore[call-arg]
         model="my_llm",
-        predibase_api_key="secret-api-key",
+        predibase_api_key="secret-api-key",  # type: ignore[arg-type]
         predibase_sdk_version=legacy_predibase_sdk_version,
     )
     assert llm.predibase_sdk_version == legacy_predibase_sdk_version
 
 
 def test_specifying_adapter_id_argument() -> None:
-    llm = Predibase(model="my_llm", predibase_api_key="secret-api-key")
+    llm = Predibase(model="my_llm", predibase_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     assert not llm.adapter_id
 
-    llm = Predibase(
+    llm = Predibase(  # type: ignore[call-arg]
         model="my_llm",
-        predibase_api_key="secret-api-key",
+        predibase_api_key="secret-api-key",  # type: ignore[arg-type]
         adapter_id="my-hf-adapter",
     )
     assert llm.adapter_id == "my-hf-adapter"
     assert llm.adapter_version is None
 
-    llm = Predibase(
+    llm = Predibase(  # type: ignore[call-arg]
         model="my_llm",
-        predibase_api_key="secret-api-key",
+        predibase_api_key="secret-api-key",  # type: ignore[arg-type]
         adapter_id="my-other-hf-adapter",
     )
     assert llm.adapter_id == "my-other-hf-adapter"
@@ -57,21 +57,21 @@ def test_specifying_adapter_id_argument() -> None:
 
 
 def test_specifying_adapter_id_and_adapter_version_arguments() -> None:
-    llm = Predibase(model="my_llm", predibase_api_key="secret-api-key")
+    llm = Predibase(model="my_llm", predibase_api_key="secret-api-key")  # type: ignore[arg-type, call-arg]
     assert not llm.adapter_id
 
-    llm = Predibase(
+    llm = Predibase(  # type: ignore[call-arg]
         model="my_llm",
-        predibase_api_key="secret-api-key",
+        predibase_api_key="secret-api-key",  # type: ignore[arg-type]
         adapter_id="my-hf-adapter",
         adapter_version=None,
     )
     assert llm.adapter_id == "my-hf-adapter"
     assert llm.adapter_version is None
 
-    llm = Predibase(
+    llm = Predibase(  # type: ignore[call-arg]
         model="my_llm",
-        predibase_api_key="secret-api-key",
+        predibase_api_key="secret-api-key",  # type: ignore[arg-type]
         adapter_id="my-other-hf-adapter",
         adapter_version=3,
     )
diff --git a/libs/community/tests/unit_tests/llms/test_stochasticai.py b/libs/community/tests/unit_tests/llms/test_stochasticai.py
index 1fa0cfd243..285d4368f2 100644
--- a/libs/community/tests/unit_tests/llms/test_stochasticai.py
+++ b/libs/community/tests/unit_tests/llms/test_stochasticai.py
@@ -5,14 +5,14 @@ from langchain_community.llms.stochasticai import StochasticAI
 
 
 def test_api_key_is_string() -> None:
-    llm = StochasticAI(stochasticai_api_key="secret-api-key")
+    llm = StochasticAI(stochasticai_api_key="secret-api-key")  # type: ignore[arg-type]
     assert isinstance(llm.stochasticai_api_key, SecretStr)
 
 
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = StochasticAI(stochasticai_api_key="secret-api-key")
+    llm = StochasticAI(stochasticai_api_key="secret-api-key")  # type: ignore[arg-type]
     print(llm.stochasticai_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
diff --git a/libs/community/tests/unit_tests/llms/test_symblai_nebula.py b/libs/community/tests/unit_tests/llms/test_symblai_nebula.py
index 92ec7484ef..9109ee3c45 100644
--- a/libs/community/tests/unit_tests/llms/test_symblai_nebula.py
+++ b/libs/community/tests/unit_tests/llms/test_symblai_nebula.py
@@ -7,7 +7,7 @@ from langchain_community.llms.symblai_nebula import Nebula
 
 
 def test_api_key_is_secret_string() -> None:
-    llm = Nebula(nebula_api_key="secret-api-key")
+    llm = Nebula(nebula_api_key="secret-api-key")  # type: ignore[arg-type]
     assert isinstance(llm.nebula_api_key, SecretStr)
     assert llm.nebula_api_key.get_secret_value() == "secret-api-key"
 
@@ -23,7 +23,7 @@ def test_api_key_masked_when_passed_from_env(
 
 
 def test_api_key_masked_when_passed_via_constructor(capsys: CaptureFixture) -> None:
-    llm = Nebula(nebula_api_key="secret-api-key")
+    llm = Nebula(nebula_api_key="secret-api-key")  # type: ignore[arg-type]
     print(llm.nebula_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
     assert captured.out == "**********"
diff --git a/libs/community/tests/unit_tests/llms/test_together.py b/libs/community/tests/unit_tests/llms/test_together.py
index 00da416b04..0d6cf97503 100644
--- a/libs/community/tests/unit_tests/llms/test_together.py
+++ b/libs/community/tests/unit_tests/llms/test_together.py
@@ -11,7 +11,7 @@ from langchain_community.llms.together import Together
 def test_together_api_key_is_secret_string() -> None:
     """Test that the API key is stored as a SecretStr."""
     llm = Together(
-        together_api_key="secret-api-key",
+        together_api_key="secret-api-key",  # type: ignore[arg-type]
         model="togethercomputer/RedPajama-INCITE-7B-Base",
         temperature=0.2,
         max_tokens=250,
@@ -24,7 +24,7 @@ def test_together_api_key_masked_when_passed_from_env(
 ) -> None:
     """Test that the API key is masked when passed from an environment variable."""
     monkeypatch.setenv("TOGETHER_API_KEY", "secret-api-key")
-    llm = Together(
+    llm = Together(  # type: ignore[call-arg]
         model="togethercomputer/RedPajama-INCITE-7B-Base",
         temperature=0.2,
         max_tokens=250,
@@ -40,7 +40,7 @@ def test_together_api_key_masked_when_passed_via_constructor(
 ) -> None:
     """Test that the API key is masked when passed via the constructor."""
     llm = Together(
-        together_api_key="secret-api-key",
+        together_api_key="secret-api-key",  # type: ignore[arg-type]
         model="togethercomputer/RedPajama-INCITE-7B-Base",
         temperature=0.2,
         max_tokens=250,
@@ -54,7 +54,7 @@ def test_together_api_key_masked_when_passed_via_constructor(
 def test_together_uses_actual_secret_value_from_secretstr() -> None:
     """Test that the actual secret value is correctly retrieved."""
     llm = Together(
-        together_api_key="secret-api-key",
+        together_api_key="secret-api-key",  # type: ignore[arg-type]
         model="togethercomputer/RedPajama-INCITE-7B-Base",
         temperature=0.2,
         max_tokens=250,
diff --git a/libs/community/tests/unit_tests/retrievers/test_bedrock.py b/libs/community/tests/unit_tests/retrievers/test_bedrock.py
index ad2da543d4..de954e6e19 100644
--- a/libs/community/tests/unit_tests/retrievers/test_bedrock.py
+++ b/libs/community/tests/unit_tests/retrievers/test_bedrock.py
@@ -23,7 +23,7 @@ def amazon_retriever(
 ) -> AmazonKnowledgeBasesRetriever:
     return AmazonKnowledgeBasesRetriever(
         knowledge_base_id="test_kb_id",
-        retrieval_config=mock_retriever_config,
+        retrieval_config=mock_retriever_config,  # type: ignore[arg-type]
         client=mock_client,
     )
 
diff --git a/libs/community/tests/unit_tests/tools/eden_ai/test_tools.py b/libs/community/tests/unit_tests/tools/eden_ai/test_tools.py
index 3a1b4ca86a..f3976ae8c0 100644
--- a/libs/community/tests/unit_tests/tools/eden_ai/test_tools.py
+++ b/libs/community/tests/unit_tests/tools/eden_ai/test_tools.py
@@ -5,7 +5,7 @@ import pytest
 
 from langchain_community.tools.edenai import EdenAiTextModerationTool
 
-tool = EdenAiTextModerationTool(
+tool = EdenAiTextModerationTool(  # type: ignore[call-arg]
     providers=["openai"], language="en", edenai_api_key="fake_key"
 )
 
diff --git a/libs/community/tests/unit_tests/tools/test_you.py b/libs/community/tests/unit_tests/tools/test_you.py
index acbf6154b0..08caf91077 100644
--- a/libs/community/tests/unit_tests/tools/test_you.py
+++ b/libs/community/tests/unit_tests/tools/test_you.py
@@ -23,7 +23,7 @@ class TestYouSearchTool:
             responses.GET, f"{TEST_ENDPOINT}/search", json=MOCK_RESPONSE_RAW, status=200
         )
         query = "Test query text"
-        you_tool = YouSearchTool(api_wrapper=YouSearchAPIWrapper(ydc_api_key="test"))
+        you_tool = YouSearchTool(api_wrapper=YouSearchAPIWrapper(ydc_api_key="test"))  # type: ignore[call-arg]
         results = you_tool.invoke(query)
         expected_result = MOCK_PARSED_OUTPUT
         assert results == expected_result
@@ -34,7 +34,7 @@ class TestYouSearchTool:
             responses.GET, f"{TEST_ENDPOINT}/search", json=MOCK_RESPONSE_RAW, status=200
         )
         query = "Test query text"
-        you_tool = YouSearchTool(
+        you_tool = YouSearchTool(  # type: ignore[call-arg]
             api_wrapper=YouSearchAPIWrapper(ydc_api_key="test", k=2)
         )
         results = you_tool.invoke(query)
@@ -47,7 +47,7 @@ class TestYouSearchTool:
             responses.GET, f"{TEST_ENDPOINT}/search", json=MOCK_RESPONSE_RAW, status=200
         )
         query = "Test query text"
-        you_tool = YouSearchTool(
+        you_tool = YouSearchTool(  # type: ignore[call-arg]
             api_wrapper=YouSearchAPIWrapper(ydc_api_key="test", n_snippets_per_hit=1)
         )
         results = you_tool.invoke(query)
@@ -61,7 +61,7 @@ class TestYouSearchTool:
         )
 
         query = "Test news text"
-        you_tool = YouSearchTool(
+        you_tool = YouSearchTool(  # type: ignore[call-arg]
             api_wrapper=YouSearchAPIWrapper(ydc_api_key="test", endpoint_type="news")
         )
         results = you_tool.invoke(query)
@@ -70,7 +70,7 @@ class TestYouSearchTool:
 
     @pytest.mark.asyncio
     async def test_ainvoke(self) -> None:
-        you_tool = YouSearchTool(api_wrapper=YouSearchAPIWrapper(ydc_api_key="test"))
+        you_tool = YouSearchTool(api_wrapper=YouSearchAPIWrapper(ydc_api_key="test"))  # type: ignore[call-arg]
 
         # Mock response object to simulate aiohttp response
         mock_response = AsyncMock()
diff --git a/libs/community/tests/unit_tests/tools/test_zapier.py b/libs/community/tests/unit_tests/tools/test_zapier.py
index c10085ec73..7be1eacacb 100644
--- a/libs/community/tests/unit_tests/tools/test_zapier.py
+++ b/libs/community/tests/unit_tests/tools/test_zapier.py
@@ -15,7 +15,7 @@ def test_default_base_prompt() -> None:
         action_id="test",
         zapier_description="test",
         params_schema={"test": "test"},
-        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),
+        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),  # type: ignore[call-arg]
     )
 
     # Test that the base prompt was successfully assigned to the default prompt
@@ -34,7 +34,7 @@ def test_custom_base_prompt() -> None:
         zapier_description="test",
         params_schema={"test": "test"},
         base_prompt=base_prompt,
-        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),
+        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),  # type: ignore[call-arg]
     )
 
     # Test that the base prompt was successfully assigned to the default prompt
@@ -51,7 +51,7 @@ def test_custom_base_prompt_fail() -> None:
             zapier_description="test",
             params={"test": "test"},
             base_prompt=base_prompt,
-            api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),
+            api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),  # type: ignore[call-arg]
         )
 
 
@@ -61,7 +61,7 @@ def test_format_headers_api_key() -> None:
         action_id="test",
         zapier_description="test",
         params_schema={"test": "test"},
-        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),
+        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),  # type: ignore[call-arg]
     )
     headers = tool.api_wrapper._format_headers()
     assert headers["Content-Type"] == "application/json"
@@ -75,7 +75,7 @@ def test_format_headers_access_token() -> None:
         action_id="test",
         zapier_description="test",
         params_schema={"test": "test"},
-        api_wrapper=ZapierNLAWrapper(zapier_nla_oauth_access_token="test"),
+        api_wrapper=ZapierNLAWrapper(zapier_nla_oauth_access_token="test"),  # type: ignore[call-arg]
     )
     headers = tool.api_wrapper._format_headers()
     assert headers["Content-Type"] == "application/json"
@@ -89,7 +89,7 @@ def test_create_action_payload() -> None:
         action_id="test",
         zapier_description="test",
         params_schema={"test": "test"},
-        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),
+        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),  # type: ignore[call-arg]
     )
 
     payload = tool.api_wrapper._create_action_payload("some instructions")
@@ -103,7 +103,7 @@ def test_create_action_payload_preview() -> None:
         action_id="test",
         zapier_description="test",
         params_schema={"test": "test"},
-        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),
+        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),  # type: ignore[call-arg]
     )
 
     payload = tool.api_wrapper._create_action_payload(
@@ -120,7 +120,7 @@ def test_create_action_payload_with_params() -> None:
         action_id="test",
         zapier_description="test",
         params_schema={"test": "test"},
-        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),
+        api_wrapper=ZapierNLAWrapper(zapier_nla_api_key="test"),  # type: ignore[call-arg]
     )
 
     payload = tool.api_wrapper._create_action_payload(
@@ -139,7 +139,7 @@ async def test_apreview(mocker) -> None:  # type: ignore[no-untyped-def]
         action_id="test",
         zapier_description="test",
         params_schema={"test": "test"},
-        api_wrapper=ZapierNLAWrapper(
+        api_wrapper=ZapierNLAWrapper(  # type: ignore[call-arg]
             zapier_nla_api_key="test",
             zapier_nla_api_base="http://localhost:8080/v1/",
         ),
@@ -167,7 +167,7 @@ async def test_arun(mocker) -> None:  # type: ignore[no-untyped-def]
         action_id="test",
         zapier_description="test",
         params_schema={"test": "test"},
-        api_wrapper=ZapierNLAWrapper(
+        api_wrapper=ZapierNLAWrapper(  # type: ignore[call-arg]
             zapier_nla_api_key="test",
             zapier_nla_api_base="http://localhost:8080/v1/",
         ),
@@ -191,7 +191,7 @@ async def test_alist(mocker) -> None:  # type: ignore[no-untyped-def]
         action_id="test",
         zapier_description="test",
         params_schema={"test": "test"},
-        api_wrapper=ZapierNLAWrapper(
+        api_wrapper=ZapierNLAWrapper(  # type: ignore[call-arg]
             zapier_nla_api_key="test",
             zapier_nla_api_base="http://localhost:8080/v1/",
         ),
@@ -207,17 +207,17 @@ async def test_alist(mocker) -> None:  # type: ignore[no-untyped-def]
 def test_wrapper_fails_no_api_key_or_access_token_initialization() -> None:
     """Test Wrapper requires either an API Key or OAuth Access Token."""
     with pytest.raises(ValueError):
-        ZapierNLAWrapper()
+        ZapierNLAWrapper()  # type: ignore[call-arg]
 
 
 def test_wrapper_api_key_initialization() -> None:
     """Test Wrapper initializes with an API Key."""
-    ZapierNLAWrapper(zapier_nla_api_key="test")
+    ZapierNLAWrapper(zapier_nla_api_key="test")  # type: ignore[call-arg]
 
 
 def test_wrapper_access_token_initialization() -> None:
     """Test Wrapper initializes with an API Key."""
-    ZapierNLAWrapper(zapier_nla_oauth_access_token="test")
+    ZapierNLAWrapper(zapier_nla_oauth_access_token="test")  # type: ignore[call-arg]
 
 
 def test_list_raises_401_invalid_api_key() -> None:
@@ -233,7 +233,7 @@ def test_list_raises_401_invalid_api_key() -> None:
     mock_session.get.return_value = mock_response
 
     with patch("requests.Session", return_value=mock_session):
-        wrapper = ZapierNLAWrapper(zapier_nla_api_key="test")
+        wrapper = ZapierNLAWrapper(zapier_nla_api_key="test")  # type: ignore[call-arg]
 
         with pytest.raises(requests.HTTPError) as err:
             wrapper.list()
@@ -257,7 +257,7 @@ def test_list_raises_401_invalid_access_token() -> None:
     mock_session.get.return_value = mock_response
 
     with patch("requests.Session", return_value=mock_session):
-        wrapper = ZapierNLAWrapper(zapier_nla_oauth_access_token="test")
+        wrapper = ZapierNLAWrapper(zapier_nla_oauth_access_token="test")  # type: ignore[call-arg]
 
         with pytest.raises(requests.HTTPError) as err:
             wrapper.list()
@@ -280,7 +280,7 @@ def test_list_raises_other_error() -> None:
     mock_session.get.return_value = mock_response
 
     with patch("requests.Session", return_value=mock_session):
-        wrapper = ZapierNLAWrapper(zapier_nla_oauth_access_token="test")
+        wrapper = ZapierNLAWrapper(zapier_nla_oauth_access_token="test")  # type: ignore[call-arg]
 
         with pytest.raises(requests.HTTPError) as err:
             wrapper.list()
diff --git a/libs/community/tests/unit_tests/utilities/test_arxiv.py b/libs/community/tests/unit_tests/utilities/test_arxiv.py
index ace8740192..061a3a547c 100644
--- a/libs/community/tests/unit_tests/utilities/test_arxiv.py
+++ b/libs/community/tests/unit_tests/utilities/test_arxiv.py
@@ -6,7 +6,7 @@ from langchain_community.utilities import ArxivAPIWrapper
 @pytest.mark.requires("arxiv")
 def test_is_arxiv_identifier() -> None:
     """Test that is_arxiv_identifier returns True for valid arxiv identifiers"""
-    api_client = ArxivAPIWrapper()
+    api_client = ArxivAPIWrapper()  # type: ignore[call-arg]
     assert api_client.is_arxiv_identifier("1605.08386v1")
     assert api_client.is_arxiv_identifier("0705.0123")
     assert api_client.is_arxiv_identifier("2308.07912")
diff --git a/libs/community/tests/unit_tests/utilities/test_graphql.py b/libs/community/tests/unit_tests/utilities/test_graphql.py
index 82c75e21c0..51d43bb49e 100644
--- a/libs/community/tests/unit_tests/utilities/test_graphql.py
+++ b/libs/community/tests/unit_tests/utilities/test_graphql.py
@@ -82,7 +82,7 @@ def test_run() -> None:
     responses.add(responses.POST, TEST_ENDPOINT, json=MOCK_RESPONSE, status=200)
 
     query = "query { allUsers { name } }"
-    graphql_wrapper = GraphQLAPIWrapper(
+    graphql_wrapper = GraphQLAPIWrapper(  # type: ignore[call-arg]
         graphql_endpoint=TEST_ENDPOINT,
         custom_headers={"Authorization": "Bearer testtoken"},
         fetch_schema_from_transport=True,
diff --git a/libs/community/tests/unit_tests/utilities/test_nvidia_riva_asr.py b/libs/community/tests/unit_tests/utilities/test_nvidia_riva_asr.py
index b9072dbfbb..e95e41dc4f 100644
--- a/libs/community/tests/unit_tests/utilities/test_nvidia_riva_asr.py
+++ b/libs/community/tests/unit_tests/utilities/test_nvidia_riva_asr.py
@@ -109,7 +109,7 @@ def riva_asr_stub_init_patch(
 @pytest.fixture
 def asr() -> RivaASR:
     """Initialize a copy of the runnable."""
-    return RivaASR(**CONFIG)
+    return RivaASR(**CONFIG)  # type: ignore[arg-type]
 
 
 @pytest.fixture
@@ -132,7 +132,7 @@ def test_init(asr: RivaASR) -> None:
 @pytest.mark.requires("riva.client")
 def test_init_defaults() -> None:
     """Ensure the runnable can be loaded with no arguments."""
-    _ = RivaASR()
+    _ = RivaASR()  # type: ignore[call-arg]
 
 
 @pytest.mark.requires("riva.client")
diff --git a/libs/community/tests/unit_tests/utilities/test_nvidia_riva_tts.py b/libs/community/tests/unit_tests/utilities/test_nvidia_riva_tts.py
index 321f6d1ea8..3024ff5885 100644
--- a/libs/community/tests/unit_tests/utilities/test_nvidia_riva_tts.py
+++ b/libs/community/tests/unit_tests/utilities/test_nvidia_riva_tts.py
@@ -50,7 +50,7 @@ def riva_tts_stub_init_patch(
 @pytest.fixture
 def tts() -> RivaTTS:
     """Initialize a copy of the runnable."""
-    return RivaTTS(**CONFIG)
+    return RivaTTS(**CONFIG)  # type: ignore[arg-type]
 
 
 @pytest.mark.requires("riva.client")
@@ -63,7 +63,7 @@ def test_init(tts: RivaTTS) -> None:
 @pytest.mark.requires("riva.client")
 def test_init_defaults() -> None:
     """Ensure the runnable can be loaded with no arguments."""
-    _ = RivaTTS()
+    _ = RivaTTS()  # type: ignore[call-arg]
 
 
 @pytest.mark.requires("riva.client")
diff --git a/libs/community/tests/unit_tests/utilities/test_tavily.py b/libs/community/tests/unit_tests/utilities/test_tavily.py
index 751bca0cca..9d0ebb3660 100644
--- a/libs/community/tests/unit_tests/utilities/test_tavily.py
+++ b/libs/community/tests/unit_tests/utilities/test_tavily.py
@@ -3,5 +3,5 @@ from langchain_community.utilities.tavily_search import TavilySearchAPIWrapper
 
 def test_api_wrapper_api_key_not_visible() -> None:
     """Test that an exception is raised if the API key is not present."""
-    wrapper = TavilySearchAPIWrapper(tavily_api_key="abcd123")
+    wrapper = TavilySearchAPIWrapper(tavily_api_key="abcd123")  # type: ignore[arg-type]
     assert "abcd123" not in repr(wrapper)
diff --git a/libs/community/tests/unit_tests/vectorstores/redis/test_redis_schema.py b/libs/community/tests/unit_tests/vectorstores/redis/test_redis_schema.py
index c8cab81924..90196a7f3e 100644
--- a/libs/community/tests/unit_tests/vectorstores/redis/test_redis_schema.py
+++ b/libs/community/tests/unit_tests/vectorstores/redis/test_redis_schema.py
@@ -58,7 +58,7 @@ def test_flat_vector_field_defaults() -> None:
         "algorithm": "FLAT",
     }
 
-    flat_vector = FlatVectorField(**flat_vector_field_data)
+    flat_vector = FlatVectorField(**flat_vector_field_data)  # type: ignore[arg-type]
     assert flat_vector.datatype == "FLOAT32"
     assert flat_vector.distance_metric == "COSINE"
     assert flat_vector.initial_cap is None
@@ -75,7 +75,7 @@ def test_flat_vector_field_optional_values() -> None:
         "block_size": 10,
     }
 
-    flat_vector = FlatVectorField(**flat_vector_field_data)
+    flat_vector = FlatVectorField(**flat_vector_field_data)  # type: ignore[arg-type]
     assert flat_vector.initial_cap == 1000
     assert flat_vector.block_size == 10
 
@@ -88,7 +88,7 @@ def test_hnsw_vector_field_defaults() -> None:
         "algorithm": "HNSW",
     }
 
-    hnsw_vector = HNSWVectorField(**hnsw_vector_field_data)
+    hnsw_vector = HNSWVectorField(**hnsw_vector_field_data)  # type: ignore[arg-type]
     assert hnsw_vector.datatype == "FLOAT32"
     assert hnsw_vector.distance_metric == "COSINE"
     assert hnsw_vector.initial_cap is None
@@ -110,7 +110,7 @@ def test_hnsw_vector_field_optional_values() -> None:
         "ef_runtime": 15,
         "epsilon": 0.05,
     }
-    hnsw_vector = HNSWVectorField(**hnsw_vector_field_data)
+    hnsw_vector = HNSWVectorField(**hnsw_vector_field_data)  # type: ignore[arg-type]
     assert hnsw_vector.initial_cap == 2000
     assert hnsw_vector.m == 10
     assert hnsw_vector.ef_construction == 250