diff --git a/libs/community/langchain_community/callbacks/upstash_ratelimit_callback.py b/libs/community/langchain_community/callbacks/upstash_ratelimit_callback.py
index 9bd984be4f1..068bf9dc05a 100644
--- a/libs/community/langchain_community/callbacks/upstash_ratelimit_callback.py
+++ b/libs/community/langchain_community/callbacks/upstash_ratelimit_callback.py
@@ -59,7 +59,7 @@ class UpstashRatelimitHandler(BaseCallbackHandler):
     """
 
     raise_error = True
-    _checked = False
+    _checked: bool = False
 
     def __init__(
         self,
diff --git a/libs/community/langchain_community/chains/pebblo_retrieval/base.py b/libs/community/langchain_community/chains/pebblo_retrieval/base.py
index e5ecb0f5254..2be7dd68786 100644
--- a/libs/community/langchain_community/chains/pebblo_retrieval/base.py
+++ b/libs/community/langchain_community/chains/pebblo_retrieval/base.py
@@ -72,9 +72,9 @@ class PebbloRetrievalQA(Chain):
     """Pebblo cloud API key for app."""
     classifier_url: str = CLASSIFIER_URL  #: :meta private:
     """Classifier endpoint."""
-    _discover_sent = False  #: :meta private:
+    _discover_sent: bool = False  #: :meta private:
     """Flag to check if discover payload has been sent."""
-    _prompt_sent = False  #: :meta private:
+    _prompt_sent: bool = False  #: :meta private:
     """Flag to check if prompt payload has been sent."""
 
     def _call(
diff --git a/libs/community/langchain_community/chat_models/baichuan.py b/libs/community/langchain_community/chat_models/baichuan.py
index 41e8de826c4..e881b36abb9 100644
--- a/libs/community/langchain_community/chat_models/baichuan.py
+++ b/libs/community/langchain_community/chat_models/baichuan.py
@@ -97,7 +97,7 @@ class ChatBaichuan(BaseChatModel):
     """Whether to stream the results or not."""
     request_timeout: int = Field(default=60, alias="timeout")
     """request timeout for chat http requests"""
-    model = "Baichuan2-Turbo-192K"
+    model: str = "Baichuan2-Turbo-192K"
     """model name of Baichuan, default is `Baichuan2-Turbo-192K`,
     other options include `Baichuan2-Turbo`"""
     temperature: Optional[float] = Field(default=0.3)
diff --git a/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py b/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py
index 9092f067799..acd4ff5e11d 100644
--- a/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py
+++ b/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py
@@ -240,7 +240,7 @@ class OCIModelDeploymentTGI(OCIModelDeploymentLLM):
     sampling and Top-p sampling.
     """
 
-    watermark = True
+    watermark: bool = True
     """Watermarking with `A Watermark for Large Language Models <https://arxiv.org/abs/2301.10226>`_.
     Defaults to True."""
 
diff --git a/libs/community/langchain_community/retrievers/breebs.py b/libs/community/langchain_community/retrievers/breebs.py
index b9238db5b13..b6551b090bd 100644
--- a/libs/community/langchain_community/retrievers/breebs.py
+++ b/libs/community/langchain_community/retrievers/breebs.py
@@ -18,7 +18,7 @@ class BreebsRetriever(BaseRetriever):
     """
 
     breeb_key: str
-    url = "https://breebs.promptbreeders.com/knowledge"
+    url: str = "https://breebs.promptbreeders.com/knowledge"
 
     def __init__(self, breeb_key: str):
         super().__init__(breeb_key=breeb_key)  # type: ignore[call-arg]
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 9c16b08d1b3..62d73f9191b 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
@@ -37,8 +37,8 @@ class HuggingFaceTextToSpeechModelInference(BaseTool):
     api_url: str
     huggingface_api_key: SecretStr
 
-    _HUGGINGFACE_API_KEY_ENV_NAME = "HUGGINGFACE_API_KEY"
-    _HUGGINGFACE_API_URL_ROOT = "https://api-inference.huggingface.co/models"
+    _HUGGINGFACE_API_KEY_ENV_NAME: str = "HUGGINGFACE_API_KEY"
+    _HUGGINGFACE_API_URL_ROOT: str = "https://api-inference.huggingface.co/models"
 
     def __init__(
         self,
diff --git a/libs/community/langchain_community/tools/cogniswitch/tool.py b/libs/community/langchain_community/tools/cogniswitch/tool.py
index 514b3b97b16..d88120e5076 100644
--- a/libs/community/langchain_community/tools/cogniswitch/tool.py
+++ b/libs/community/langchain_community/tools/cogniswitch/tool.py
@@ -24,7 +24,7 @@ class CogniswitchKnowledgeRequest(BaseTool):
     cs_token: str
     OAI_token: str
     apiKey: str
-    api_url = "https://api.cogniswitch.ai:8243/cs-api/0.0.1/cs/knowledgeRequest"
+    api_url: str = "https://api.cogniswitch.ai:8243/cs-api/0.0.1/cs/knowledgeRequest"
 
     def _run(
         self,
diff --git a/libs/community/langchain_community/tools/e2b_data_analysis/tool.py b/libs/community/langchain_community/tools/e2b_data_analysis/tool.py
index 242b305e1bc..6de115e0b4b 100644
--- a/libs/community/langchain_community/tools/e2b_data_analysis/tool.py
+++ b/libs/community/langchain_community/tools/e2b_data_analysis/tool.py
@@ -96,7 +96,7 @@ class E2BDataAnalysisToolArguments(BaseModel):
 class E2BDataAnalysisTool(BaseTool):
     """Tool for running python code in a sandboxed environment for data analysis."""
 
-    name = "e2b_data_analysis"
+    name: str = "e2b_data_analysis"
     args_schema: Type[BaseModel] = E2BDataAnalysisToolArguments
     session: Any
     description: str
diff --git a/libs/community/langchain_community/tools/edenai/audio_speech_to_text.py b/libs/community/langchain_community/tools/edenai/audio_speech_to_text.py
index 00f158ed53b..ba2978399ad 100644
--- a/libs/community/langchain_community/tools/edenai/audio_speech_to_text.py
+++ b/libs/community/langchain_community/tools/edenai/audio_speech_to_text.py
@@ -28,13 +28,13 @@ class EdenAiSpeechToTextTool(EdenaiTool):
 
     edenai_api_key: Optional[str] = None
 
-    name = "edenai_speech_to_text"
+    name: str = "edenai_speech_to_text"
     description = (
         "A wrapper around edenai Services speech to text "
         "Useful for when you have to convert audio to text."
         "Input should be a url to an audio file."
     )
-    is_async = True
+    is_async: bool = True
 
     language: Optional[str] = "en"
     speakers: Optional[int]
@@ -43,7 +43,7 @@ class EdenAiSpeechToTextTool(EdenaiTool):
 
     feature: str = "audio"
     subfeature: str = "speech_to_text_async"
-    base_url = "https://api.edenai.run/v2/audio/speech_to_text_async/"
+    base_url: str = "https://api.edenai.run/v2/audio/speech_to_text_async/"
 
     @validator("providers")
     def check_only_one_provider_selected(cls, v: List[str]) -> List[str]:
diff --git a/libs/community/langchain_community/tools/edenai/audio_text_to_speech.py b/libs/community/langchain_community/tools/edenai/audio_text_to_speech.py
index 575b9a70b52..fad670e0f3f 100644
--- a/libs/community/langchain_community/tools/edenai/audio_text_to_speech.py
+++ b/libs/community/langchain_community/tools/edenai/audio_text_to_speech.py
@@ -23,7 +23,7 @@ class EdenAiTextToSpeechTool(EdenaiTool):
 
     """
 
-    name = "edenai_text_to_speech"
+    name: str = "edenai_text_to_speech"
     description = (
         "A wrapper around edenai Services text to speech."
         "Useful for when you need to convert text to speech."
diff --git a/libs/community/langchain_community/tools/edenai/image_explicitcontent.py b/libs/community/langchain_community/tools/edenai/image_explicitcontent.py
index fbeb4c1ec19..84012bff6bc 100644
--- a/libs/community/langchain_community/tools/edenai/image_explicitcontent.py
+++ b/libs/community/langchain_community/tools/edenai/image_explicitcontent.py
@@ -23,9 +23,9 @@ class EdenAiExplicitImageTool(EdenaiTool):
 
     """
 
-    name = "edenai_image_explicit_content_detection"
+    name: str = "edenai_image_explicit_content_detection"
 
-    description = (
+    description: str = (
         "A wrapper around edenai Services Explicit image detection. "
         """Useful for when you have to extract Explicit Content from images.
         it detects adult only content in images, 
@@ -35,9 +35,9 @@ class EdenAiExplicitImageTool(EdenaiTool):
         "Input should be the string url of the image ."
     )
 
-    combine_available = True
-    feature = "image"
-    subfeature = "explicit_content"
+    combine_available: bool = True
+    feature: str = "image"
+    subfeature: str = "explicit_content"
 
     def _parse_json(self, json_data: dict) -> str:
         result_str = f"nsfw_likelihood: {json_data['nsfw_likelihood']}\n"
diff --git a/libs/community/langchain_community/tools/edenai/image_objectdetection.py b/libs/community/langchain_community/tools/edenai/image_objectdetection.py
index e40d464d5c7..03b9fc36e58 100644
--- a/libs/community/langchain_community/tools/edenai/image_objectdetection.py
+++ b/libs/community/langchain_community/tools/edenai/image_objectdetection.py
@@ -22,9 +22,9 @@ class EdenAiObjectDetectionTool(EdenaiTool):
 
     """
 
-    name = "edenai_object_detection"
+    name: str = "edenai_object_detection"
 
-    description = (
+    description: str = (
         "A wrapper around edenai Services Object Detection . "
         """Useful for when you have to do an  to identify and locate
         (with bounding boxes) objects in an image """
@@ -33,8 +33,8 @@ class EdenAiObjectDetectionTool(EdenaiTool):
 
     show_positions: bool = False
 
-    feature = "image"
-    subfeature = "object_detection"
+    feature: str = "image"
+    subfeature: str = "object_detection"
 
     def _parse_json(self, json_data: dict) -> str:
         result = []
diff --git a/libs/community/langchain_community/tools/edenai/ocr_identityparser.py b/libs/community/langchain_community/tools/edenai/ocr_identityparser.py
index 6af27c92fd6..75352312e58 100644
--- a/libs/community/langchain_community/tools/edenai/ocr_identityparser.py
+++ b/libs/community/langchain_community/tools/edenai/ocr_identityparser.py
@@ -22,16 +22,16 @@ class EdenAiParsingIDTool(EdenaiTool):
 
     """
 
-    name = "edenai_identity_parsing"
+    name: str = "edenai_identity_parsing"
 
-    description = (
+    description: str = (
         "A wrapper around edenai Services Identity parsing. "
         "Useful for when you have to extract information from an ID Document "
         "Input should be the string url of the document to parse."
     )
 
-    feature = "ocr"
-    subfeature = "identity_parser"
+    feature: str = "ocr"
+    subfeature: str = "identity_parser"
 
     language: Optional[str] = None
     """
diff --git a/libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py b/libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py
index 6b2e7d8befe..4413beedf7b 100644
--- a/libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py
+++ b/libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py
@@ -22,9 +22,9 @@ class EdenAiParsingInvoiceTool(EdenaiTool):
 
     """
 
-    name = "edenai_invoice_parsing"
+    name: str = "edenai_invoice_parsing"
 
-    description = (
+    description: str = (
         "A wrapper around edenai Services invoice parsing. "
         """Useful for when you have to extract information from 
         an image it enables to take invoices 
@@ -39,8 +39,8 @@ class EdenAiParsingInvoiceTool(EdenaiTool):
     language of the image passed to the model.
     """
 
-    feature = "ocr"
-    subfeature = "invoice_parser"
+    feature: str = "ocr"
+    subfeature: str = "invoice_parser"
 
     def _parse_response(self, response: list) -> str:
         formatted_list: list = []
diff --git a/libs/community/langchain_community/tools/edenai/text_moderation.py b/libs/community/langchain_community/tools/edenai/text_moderation.py
index 44d1308117f..2486287fba1 100644
--- a/libs/community/langchain_community/tools/edenai/text_moderation.py
+++ b/libs/community/langchain_community/tools/edenai/text_moderation.py
@@ -22,9 +22,9 @@ class EdenAiTextModerationTool(EdenaiTool):
 
     """
 
-    name = "edenai_explicit_content_detection_text"
+    name: str = "edenai_explicit_content_detection_text"
 
-    description = (
+    description: str = (
         "A wrapper around edenai Services explicit content detection for text. "
         """Useful for when you have to scan text for offensive, 
         sexually explicit or suggestive content,
diff --git a/libs/community/langchain_community/tools/you/tool.py b/libs/community/langchain_community/tools/you/tool.py
index 75b06bd0139..949eca08274 100644
--- a/libs/community/langchain_community/tools/you/tool.py
+++ b/libs/community/langchain_community/tools/you/tool.py
@@ -20,8 +20,8 @@ class YouInput(BaseModel):
 class YouSearchTool(BaseTool):
     """Tool that searches the you.com API."""
 
-    name = "you_search"
-    description = (
+    name: str = "you_search"
+    description: str = (
         "The YOU APIs make LLMs and search experiences more factual and"
         "up to date with realtime web data."
     )
diff --git a/libs/community/langchain_community/utilities/mojeek_search.py b/libs/community/langchain_community/utilities/mojeek_search.py
index 4b4a7670221..8f48059dcb9 100644
--- a/libs/community/langchain_community/utilities/mojeek_search.py
+++ b/libs/community/langchain_community/utilities/mojeek_search.py
@@ -8,7 +8,7 @@ from langchain_core.pydantic_v1 import BaseModel, Field
 class MojeekSearchAPIWrapper(BaseModel):
     api_key: str
     search_kwargs: dict = Field(default_factory=dict)
-    api_url = "https://api.mojeek.com/search"
+    api_url: str = "https://api.mojeek.com/search"
 
     def run(self, query: str) -> str:
         search_results = self._search(query)
diff --git a/libs/community/tests/integration_tests/llms/test_bedrock.py b/libs/community/tests/integration_tests/llms/test_bedrock.py
index 98d02ad3a31..07dc1ce1801 100644
--- a/libs/community/tests/integration_tests/llms/test_bedrock.py
+++ b/libs/community/tests/integration_tests/llms/test_bedrock.py
@@ -26,7 +26,7 @@ GUARDRAILS_TRIGGER = os.environ.get(
 class BedrockAsyncCallbackHandler(AsyncCallbackHandler):
     """Async callback handler that can be used to handle callbacks from langchain."""
 
-    guardrails_intervened = False
+    guardrails_intervened: bool = False
 
     async def on_llm_error(
         self,