diff --git a/src/openlayer/lib/integrations/langchain_callback.py b/src/openlayer/lib/integrations/langchain_callback.py
index 10ff3982..6d3da477 100644
--- a/src/openlayer/lib/integrations/langchain_callback.py
+++ b/src/openlayer/lib/integrations/langchain_callback.py
@@ -2,24 +2,27 @@
 
 # pylint: disable=unused-argument
 import time
-from typing import Any, Dict, List, Optional, Union, Callable
+from typing import Any, Callable, Dict, List, Optional, Union
 from uuid import UUID
 
 try:
     try:
         from langchain_core import messages as langchain_schema
-        from langchain_core.callbacks.base import BaseCallbackHandler, AsyncCallbackHandler
+        from langchain_core.callbacks.base import (
+            AsyncCallbackHandler,
+            BaseCallbackHandler,
+        )
     except ImportError:
         from langchain import schema as langchain_schema
-        from langchain.callbacks.base import BaseCallbackHandler, AsyncCallbackHandler
+        from langchain.callbacks.base import AsyncCallbackHandler, BaseCallbackHandler
 
     HAVE_LANGCHAIN = True
 except ImportError:
     HAVE_LANGCHAIN = False
 
 
-from ..tracing import tracer, steps, traces, enums
 from .. import utils
+from ..tracing import enums, steps, tracer, traces
 
 LANGCHAIN_TO_OPENLAYER_PROVIDER_MAP = {
     "azure-openai-chat": "Azure",
@@ -156,7 +159,11 @@ def _end_step(
 
         # Only upload if this is a standalone trace (not integrated with external trace)
         # If current_step is set, we're part of a larger trace and shouldn't upload
-        if is_root_step and run_id in self._traces_by_root and tracer.get_current_step() is None:
+        if (
+            is_root_step
+            and run_id in self._traces_by_root
+            and tracer.get_current_step() is None
+        ):
             trace = self._traces_by_root.pop(run_id)
             self._process_and_upload_trace(trace)
 
@@ -187,8 +194,11 @@ def _process_and_upload_trace(self, trace: traces.Trace) -> None:
             config.update({"ground_truth_column_name": "groundTruth"})
         if "context" in trace_data:
             config.update({"context_column_name": "context"})
+
+        root_step = trace.steps[0] if trace.steps else None
         if (
-            isinstance(root_step, steps.ChatCompletionStep)
+            root_step
+            and isinstance(root_step, steps.ChatCompletionStep)
             and root_step.inputs
             and "prompt" in root_step.inputs
         ):
@@ -1107,7 +1117,7 @@ def _start_step(
             # Check if we're in an existing trace context via ContextVars
             current_step = tracer.get_current_step()
             current_trace = tracer.get_current_trace()
-            
+
             if current_step is not None:
                 # We're inside an existing step context - add as nested
                 current_step.add_nested_step(step)
@@ -1128,7 +1138,7 @@ def _start_step(
                 trace = traces.Trace()
                 trace.add_step(step)
                 self._traces_by_root[run_id] = trace
-            
+
             # Track root steps
             if parent_run_id is None:
                 self.root_steps.add(run_id)
@@ -1176,7 +1186,7 @@ def _end_step(
 
         # Only upload if this is a standalone trace (not integrated with external trace)
         has_standalone_trace = run_id in self._traces_by_root
-        
+
         # Only upload if: root step + has standalone trace + not part of external trace
         if is_root_step and has_standalone_trace and not self._has_external_trace:
             trace = self._traces_by_root.pop(run_id)