diff --git a/llama_stack/core/conversations/conversations.py b/llama_stack/core/conversations/conversations.py
index bef138e69..612b2f68e 100644
--- a/llama_stack/core/conversations/conversations.py
+++ b/llama_stack/core/conversations/conversations.py
@@ -32,7 +32,7 @@ from llama_stack.providers.utils.sqlstore.sqlstore import (
     sqlstore_impl,
 )
 
-logger = get_logger(name=__name__, category="openai::conversations")
+logger = get_logger(name=__name__, category="openai_conversations")
 
 
 class ConversationServiceConfig(BaseModel):
diff --git a/llama_stack/log.py b/llama_stack/log.py
index 6f751b21d..6ccc200fc 100644
--- a/llama_stack/log.py
+++ b/llama_stack/log.py
@@ -31,12 +31,17 @@ CATEGORIES = [
     "client",
     "telemetry",
     "openai_responses",
+    "openai_conversations",
     "testing",
     "providers",
     "models",
     "files",
     "vector_io",
     "tool_runtime",
+    "cli",
+    "post_training",
+    "scoring",
+    "tests",
 ]
 UNCATEGORIZED = "uncategorized"
 
@@ -261,11 +266,10 @@ def get_logger(
         if root_category in _category_levels:
             log_level = _category_levels[root_category]
         else:
+            assert category == UNCATEGORIZED, (
+                "Unknown logging category: {category}. To resolve, choose a valid category from the CATEGORIES list or add it to the CATEGORIES list."
+            )
             log_level = _category_levels.get("root", DEFAULT_LOG_LEVEL)
-            if category != UNCATEGORIZED:
-                logging.warning(
-                    f"Unknown logging category: {category}. Falling back to default 'root' level: {log_level}"
-                )
     logger.setLevel(log_level)
     return logging.LoggerAdapter(logger, {"category": category})
 
diff --git a/llama_stack/models/llama/tokenizer_utils.py b/llama_stack/models/llama/tokenizer_utils.py
index 9830bb61b..05da410a1 100644
--- a/llama_stack/models/llama/tokenizer_utils.py
+++ b/llama_stack/models/llama/tokenizer_utils.py
@@ -9,7 +9,7 @@ from pathlib import Path
 
 from llama_stack.log import get_logger
 
-logger = get_logger(__name__, "tokenizer_utils")
+logger = get_logger(__name__, "models")
 
 
 def load_bpe_file(model_path: Path) -> dict[bytes, int]: