diff --git a/demos/use_cases/http_filter/src/rag_agent/context_builder.py b/demos/use_cases/http_filter/src/rag_agent/context_builder.py
index 306a9280..1f0fc748 100644
--- a/demos/use_cases/http_filter/src/rag_agent/context_builder.py
+++ b/demos/use_cases/http_filter/src/rag_agent/context_builder.py
@@ -61,7 +61,10 @@ def load_knowledge_base():
 
 
 async def find_relevant_passages(
-    query: str, traceparent: Optional[str] = None, request_id: Optional[str] = None, top_k: int = 3
+    query: str,
+    traceparent: Optional[str] = None,
+    request_id: Optional[str] = None,
+    top_k: int = 3,
 ) -> List[Dict[str, str]]:
     """Use the LLM to find the most relevant passages from the knowledge base."""
 
@@ -133,7 +136,9 @@ async def find_relevant_passages(
 
 
 async def augment_query_with_context(
-    messages: List[ChatMessage], traceparent: Optional[str] = None, request_id: Optional[str] = None
+    messages: List[ChatMessage],
+    traceparent: Optional[str] = None,
+    request_id: Optional[str] = None,
 ) -> List[ChatMessage]:
     """Extract user query, find relevant context, and augment the messages."""
 
@@ -154,7 +159,9 @@ async def augment_query_with_context(
     logger.info(f"Processing user query: '{last_user_message}'")
 
     # Find relevant passages
-    relevant_passages = await find_relevant_passages(last_user_message, traceparent, request_id)
+    relevant_passages = await find_relevant_passages(
+        last_user_message, traceparent, request_id
+    )
 
     if not relevant_passages:
         logger.info("No relevant passages found, returning original messages")
@@ -208,7 +215,9 @@ async def context_builder(
         logger.info("No traceparent header found")
 
     # Augment the user query with relevant context
-    updated_messages = await augment_query_with_context(messages, traceparent_header, request_id)
+    updated_messages = await augment_query_with_context(
+        messages, traceparent_header, request_id
+    )
 
     # Return as dict to minimize text serialization
     return [{"role": msg.role, "content": msg.content} for msg in updated_messages]
diff --git a/demos/use_cases/http_filter/src/rag_agent/input_guards.py b/demos/use_cases/http_filter/src/rag_agent/input_guards.py
index 99ba9fe5..bdfdc09e 100644
--- a/demos/use_cases/http_filter/src/rag_agent/input_guards.py
+++ b/demos/use_cases/http_filter/src/rag_agent/input_guards.py
@@ -36,7 +36,9 @@ app = FastAPI(title="RAG Agent Input Guards", version="1.0.0")
 
 
 async def validate_query_scope(
-    messages: List[ChatMessage], traceparent_header: Optional[str] = None, request_id: Optional[str] = None
+    messages: List[ChatMessage],
+    traceparent_header: Optional[str] = None,
+    request_id: Optional[str] = None,
 ) -> Dict[str, Any]:
     """Validate that the user query is within TechCorp's domain.
 
@@ -146,7 +148,9 @@ async def input_guards(
         logger.info("No traceparent header found")
 
     # Validate the query scope
-    validation_result = await validate_query_scope(messages, traceparent_header, request_id)
+    validation_result = await validate_query_scope(
+        messages, traceparent_header, request_id
+    )
 
     if not validation_result.get("is_valid", True):
         reason = validation_result.get("reason", "Query is outside TechCorp's domain")
diff --git a/demos/use_cases/http_filter/src/rag_agent/rag_agent.py b/demos/use_cases/http_filter/src/rag_agent/rag_agent.py
index 244c0f41..3f1c9855 100644
--- a/demos/use_cases/http_filter/src/rag_agent/rag_agent.py
+++ b/demos/use_cases/http_filter/src/rag_agent/rag_agent.py
@@ -76,7 +76,7 @@ async def chat_completion_http(request: Request, request_body: ChatCompletionReq
         logger.info("No traceparent header found")
 
     return StreamingResponse(
-        stream_chat_completions(request_body, traceparent_header,request_id),
+        stream_chat_completions(request_body, traceparent_header, request_id),
         media_type="text/plain",
         headers={
             "content-type": "text/event-stream",
@@ -86,7 +86,9 @@ async def chat_completion_http(request: Request, request_body: ChatCompletionReq
 
 
 async def stream_chat_completions(
-    request_body: ChatCompletionRequest, traceparent_header: str = None, request_id: str = None
+    request_body: ChatCompletionRequest,
+    traceparent_header: str = None,
+    request_id: str = None,
 ):
     """Generate streaming chat completions."""
     # Prepare messages for response generation