chore(docker): increased number of replicas

backend/llm/knowledge_brain_qa.py

@@ -313,8 +313,6 @@ class KnowledgeBrainQA(BaseModel, QAInterface):
 
         # Combine all response tokens to form the final assistant message
         assistant = "".join(response_tokens)
-        logger.info("💋💋💋💋")
-        logger.info(streamed_chat_history)
 
         try:
             if save_answer:

backend/llm/qa_headless.py

@@ -246,7 +246,6 @@ class HeadlessQA(BaseModel, QAInterface):
             )
 
         async for token in callback.aiter():
-            logger.info("Token: %s", token)
             response_tokens.append(token)
             streamed_chat_history.assistant = token
             yield f"data: {json.dumps(streamed_chat_history.dict())}"

backend/modules/chat/controller/chat/brainful_chat.py

@@ -66,22 +66,14 @@ class BrainfulChat(ChatInterface):
                 supabase_client, embeddings, table_name="vectors"
             )
             # Get the first question from the chat_question
-            logger.info(f"Finding brain closest to {chat_question}")
-            logger.info("🔥🔥🔥🔥🔥")
+
             question = chat_question.question
-            logger.info(f"Question is {question}")
             history = chat_service.get_chat_history(chat_id)
             if history:
                 question = history[0].user_message
-                logger.info(f"Question is {question}")
             brain_id_to_use = vector_store.find_brain_closest_query(question)
-            logger.info(f"Found brain {brain_id_to_use}")
-            logger.info("🧠🧠🧠")
 
         brain = brain_service.get_brain_by_id(brain_id_to_use)
-        logger.info(f"Brain type: {brain.brain_type}")
-        logger.info(f"Id is {brain.brain_id}")
-        logger.info(f"Type of brain_id is {type(brain.brain_id)}")
         if (
             brain
             and brain.brain_type == BrainType.DOC

backend/vectorstore/supabase.py

@@ -43,9 +43,6 @@ class CustomSupabaseVectorStore(SupabaseVectorStore):
         ).execute()
 
         # Get the brain_id of the brain that is most similar to the query
-        logger.info(f"Found {len(res.data)} brains")
-        logger.info(res.data)
-        logger.info("🔥🔥🔥🔥🔥")
         brain_id = res.data[0].get("id", None)
         if not brain_id:
             return None

docker-compose.dev.yml

@@ -23,7 +23,7 @@ services:
       - "--port"
       - "5050"
       - "--workers"
-      - "2"
+      - "6"
     restart: always
 
     ports:

docker-compose.yml

@@ -41,7 +41,7 @@ services:
       - "--port"
       - "5050"
       - "--workers"
-      - "1"
+      - "6"
     restart: always
     volumes:
       - ./backend/:/code/