From e3fe4b86dfcd9e9e517d994ad6d7b8e9f7f58b4d Mon Sep 17 00:00:00 2001 From: Manoj Aggarwal Date: Tue, 20 Jan 2026 17:48:40 -0800 Subject: [PATCH] remove debug logs --- .../app/agents/new_chat/tools/user_memory.py | 25 ------------------- 1 file changed, 25 deletions(-) diff --git a/surfsense_backend/app/agents/new_chat/tools/user_memory.py b/surfsense_backend/app/agents/new_chat/tools/user_memory.py index 32230394e..540189a6f 100644 --- a/surfsense_backend/app/agents/new_chat/tools/user_memory.py +++ b/surfsense_backend/app/agents/new_chat/tools/user_memory.py @@ -158,10 +158,6 @@ def create_save_memory_tool( Returns: A dictionary with the save status and memory details """ - # Log at the very start - logger.info(f">>> SAVE_MEMORY TOOL CALLED: content='{content}', category='{category}'") - print(f">>> SAVE_MEMORY TOOL CALLED: content='{content}', category='{category}'") - # Normalize and validate category (LLMs may send uppercase) category = category.lower() if category else "fact" valid_categories = ["preference", "fact", "instruction", "context"] @@ -169,26 +165,19 @@ def create_save_memory_tool( category = "fact" try: - logger.info(f"save_memory called: user_id={user_id}, search_space_id={search_space_id}, content={content[:50]}...") - # Convert user_id to UUID uuid_user_id = _to_uuid(user_id) - logger.info(f"UUID conversion successful: {uuid_user_id}") # Check if we've hit the memory limit memory_count = await get_user_memory_count( db_session, user_id, search_space_id ) - logger.info(f"Current memory count: {memory_count}") - if memory_count >= MAX_MEMORIES_PER_USER: # Delete oldest memory to make room await delete_oldest_memory(db_session, user_id, search_space_id) # Generate embedding for the memory - logger.info("Generating embedding...") embedding = config.embedding_model_instance.embed(content) - logger.info(f"Embedding generated, type: {type(embedding)}, len: {len(embedding) if hasattr(embedding, '__len__') else 'N/A'}") # Convert numpy array to list of Python floats for PostgreSQL import numpy as np @@ -223,10 +212,7 @@ def create_save_memory_tool( } ) new_memory_id = result.scalar_one() - - logger.info("Committing...") await db_session.commit() - logger.info(f"Memory saved successfully with id: {new_memory_id}") return { "status": "saved", @@ -295,15 +281,10 @@ def create_recall_memory_tool( A dictionary containing relevant memories and formatted context """ top_k = min(max(top_k, 1), 20) # Clamp between 1 and 20 - - # Log at the very start - logger.info(f">>> RECALL_MEMORY TOOL CALLED: query='{query}', category='{category}', top_k={top_k}") - print(f">>> RECALL_MEMORY TOOL CALLED: query='{query}', category='{category}', top_k={top_k}") try: # Convert user_id to UUID uuid_user_id = _to_uuid(user_id) - logger.info(f"Recall memory for user: {uuid_user_id}, search_space: {search_space_id}") if query: # Semantic search using embeddings @@ -347,8 +328,6 @@ def create_recall_memory_tool( result = await db_session.execute(stmt) memories = result.scalars().all() - - logger.info(f"Found {len(memories)} memories") # Format memories for response memory_list = [ @@ -360,12 +339,8 @@ def create_recall_memory_tool( } for m in memories ] - - logger.info(f"Formatted memory list: {memory_list}") formatted_context = format_memories_for_context(memory_list) - - logger.info(f"Returning {len(memory_list)} memories") return { "status": "success",