diff --git a/integrations/langchain/src/databricks_langchain/genie.py b/integrations/langchain/src/databricks_langchain/genie.py
index 67b4cc6..a0a7c7e 100644
--- a/integrations/langchain/src/databricks_langchain/genie.py
+++ b/integrations/langchain/src/databricks_langchain/genie.py
@@ -35,6 +35,7 @@ def _query_genie_as_agent(input, genie_space_id, genie_agent_name):
         return {"messages": [AIMessage(content="")]}
 
 
+@mlflow.trace(type="AGENT")
 def GenieAgent(genie_space_id, genie_agent_name="Genie", description=""):
     """Create a genie agent that can be used to query the API"""
     from functools import partial
diff --git a/src/databricks_ai_bridge/genie.py b/src/databricks_ai_bridge/genie.py
index c10aa10..b1542ed 100644
--- a/src/databricks_ai_bridge/genie.py
+++ b/src/databricks_ai_bridge/genie.py
@@ -30,7 +30,7 @@ def __init__(
         self.description = description
 
 
-@mlflow.trace(name="My Span")
+@mlflow.trace(type="PARSER")
 def _parse_query_result(resp) -> Union[str, pd.DataFrame]:
     columns = resp["manifest"]["schema"]["columns"]
     header = [str(col["name"]) for col in columns]