diff --git a/src/backend/langflow/api/v1/base.py b/src/backend/langflow/api/v1/base.py
index 28be40ae0..420e1645f 100644
--- a/src/backend/langflow/api/v1/base.py
+++ b/src/backend/langflow/api/v1/base.py
@@ -14,7 +14,7 @@ class Code(BaseModel):
 
 
 class FrontendNodeRequest(FrontendNode):
-    template: dict
+    template: dict  # type: ignore
 
 
 class ValidatePromptRequest(BaseModel):
diff --git a/src/backend/langflow/chat/utils.py b/src/backend/langflow/chat/utils.py
index d070a7457..7db65b8e3 100644
--- a/src/backend/langflow/chat/utils.py
+++ b/src/backend/langflow/chat/utils.py
@@ -21,6 +21,10 @@ async def process_graph(
 
     # Generate result and thought
     try:
+        if not chat_inputs.message:
+            logger.debug("No message provided")
+            raise ValueError("No message provided")
+
         logger.debug("Generating result and thought")
         result, intermediate_steps = await get_result_and_steps(
             langchain_object, chat_inputs.message, websocket=websocket
diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/langflow/interface/initialize/loading.py
index d56445f2a..37dbdcda1 100644
--- a/src/backend/langflow/interface/initialize/loading.py
+++ b/src/backend/langflow/interface/initialize/loading.py
@@ -193,7 +193,7 @@ def instantiate_prompt(node_type, class_object, params: Dict):
 
     prompt = class_object(**params)
 
-    format_kwargs = {}
+    format_kwargs: Dict[str, Any] = {}
     for input_variable in prompt.input_variables:
         if input_variable in params:
             variable = params[input_variable]
diff --git a/src/backend/langflow/processing/base.py b/src/backend/langflow/processing/base.py
index b39ad4af1..478b98816 100644
--- a/src/backend/langflow/processing/base.py
+++ b/src/backend/langflow/processing/base.py
@@ -1,3 +1,4 @@
+from typing import Union
 from langflow.api.v1.callback import (
     AsyncStreamingLLMCallbackHandler,
     StreamingLLMCallbackHandler,
@@ -6,7 +7,7 @@ from langflow.processing.process import fix_memory_inputs, format_actions
 from langflow.utils.logger import logger
 
 
-async def get_result_and_steps(langchain_object, inputs: dict, **kwargs):
+async def get_result_and_steps(langchain_object, inputs: Union[dict, str], **kwargs):
     """Get result and thought from extracted json"""
 
     try: