diff --git a/letta/agent.py b/letta/agent.py
index 7280b316db..ebd73aa9ea 100644
--- a/letta/agent.py
+++ b/letta/agent.py
@@ -305,8 +305,6 @@ def __init__(
             printd(f"Agent.__init__ :: creating, state={agent_state.message_ids}")
             assert self.agent_state.id is not None and self.agent_state.user_id is not None
 
-            print("INITIALIZE MESSAGE SEQUENCE", self.agent_state.memory.get_blocks())
-
             # Generate a sequence of initial messages to put in the buffer
             init_messages = initialize_message_sequence(
                 model=self.model,
diff --git a/letta/client/client.py b/letta/client/client.py
index 2cd30d4e6d..0bf773c04a 100644
--- a/letta/client/client.py
+++ b/letta/client/client.py
@@ -2125,7 +2125,6 @@ def create_agent(
         for block in memory.get_blocks():
             self.server.block_manager.create_or_update_block(block, actor=user)
             self.server.link_block_to_agent_memory(user_id=self.user_id, agent_id=agent_state.id, block_id=block.id)
-            print("LINKING BLOCK", block.label, block.value)
 
         # TODO: get full agent state
         return self.server.get_agent(agent_state.id)
diff --git a/letta/llm_api/llm_api_tools.py b/letta/llm_api/llm_api_tools.py
index d776cd4864..9a6374b511 100644
--- a/letta/llm_api/llm_api_tools.py
+++ b/letta/llm_api/llm_api_tools.py
@@ -124,12 +124,6 @@ def create(
     """Return response to chat completion with backoff"""
     from letta.utils import printd
 
-    print("SENDING MESSAGE")
-    for message in messages:
-        from pprint import pprint
-
-        pprint(message.text)
-
     # Count the tokens first, if there's an overflow exit early by throwing an error up the stack
     # NOTE: we want to include a specific substring in the error message to trigger summarization
     messages_oai_format = [m.to_openai_dict() for m in messages]