diff --git a/litellm/llms/openai/chat/gpt_transformation.py b/litellm/llms/openai/chat/gpt_transformation.py
index 04a10bd7fbe..6cc09dafc2f 100644
--- a/litellm/llms/openai/chat/gpt_transformation.py
+++ b/litellm/llms/openai/chat/gpt_transformation.py
@@ -25,6 +25,7 @@ from litellm.litellm_core_utils.llm_response_utils.convert_dict_to_response impo
     _handle_invalid_parallel_tool_calls,
     _should_convert_tool_call_to_json_mode,
 )
+from litellm.litellm_core_utils.core_helpers import map_finish_reason
 from litellm.litellm_core_utils.prompt_templates.common_utils import get_tool_call_names
 from litellm.litellm_core_utils.prompt_templates.image_handling import (
     async_convert_url_to_base64,
@@ -586,8 +587,10 @@ class OpenAIGPTConfig(BaseLLMModelInfo, BaseConfig):
                 enhancements=None,
             )
 
-            translated_choice.finish_reason = self._get_finish_reason(
-                translated_message, choice["finish_reason"]
+            translated_choice.finish_reason = map_finish_reason(
+                self._get_finish_reason(
+                    translated_message, choice["finish_reason"]
+                )
             )
             transformed_choices.append(translated_choice)
 
diff --git a/ui/litellm-dashboard/src/components/CostTrackingSettings/pricing_calculator/multi_cost_results.tsx b/ui/litellm-dashboard/src/components/CostTrackingSettings/pricing_calculator/multi_cost_results.tsx
index 624c297f266..db8c065d18a 100644
--- a/ui/litellm-dashboard/src/components/CostTrackingSettings/pricing_calculator/multi_cost_results.tsx
+++ b/ui/litellm-dashboard/src/components/CostTrackingSettings/pricing_calculator/multi_cost_results.tsx
@@ -181,7 +181,7 @@ const MultiCostResults: React.FC<MultiCostResultsProps> = ({ multiResult, timePe
       title: "Model",
       dataIndex: "model",
       key: "model",
-      render: (text: string, record: { id: string; provider?: string | null; error?: string | null; loading?: boolean; hasZeroCost?: boolean }) => (
+      render: (text: string, record: { id: string; provider?: string | null; error?: string | null; loading?: boolean; hasZeroCost?: boolean | null }) => (
         <div className="flex flex-col gap-1">
           <div className="flex items-center gap-2">
             <span className="font-medium text-sm">{text}</span>
diff --git a/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.tsx b/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.tsx
index 17cddc3ab16..efcf7504b28 100644
--- a/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.tsx
+++ b/ui/litellm-dashboard/src/components/playground/llm_calls/chat_completion.tsx
@@ -33,7 +33,7 @@ export async function makeOpenAIChatCompletionRequest(
   // base url should be the current base_url
   const isLocal = process.env.NODE_ENV === "development";
   if (isLocal !== true) {
-    console.log = function () {};
+    console.log = function () { };
   }
   console.log("isLocal:", isLocal);
   const proxyBaseUrl = customBaseUrl || getProxyBaseUrl();
@@ -58,7 +58,7 @@ export async function makeOpenAIChatCompletionRequest(
     // For collecting complete response text
     let fullResponseContent = "";
     let fullReasoningContent = "";
-    
+
     // Track MCP metadata from final chunk
     let mcpMetadata: {
       mcp_list_tools?: any[];
@@ -224,15 +224,15 @@ export async function makeOpenAIChatCompletionRequest(
       }
 
       // Convert mcp_tool_calls and mcp_call_results to MCPEvent[]
-      if (mcpMetadata.mcp_tool_calls && mcpMetadata.mcp_tool_calls.length > 0) {
-        mcpMetadata.mcp_tool_calls.forEach((toolCall: any, index: number) => {
+      if (mcpMetadata?.mcp_tool_calls && mcpMetadata?.mcp_tool_calls.length > 0) {
+        mcpMetadata?.mcp_tool_calls.forEach((toolCall: any, index: number) => {
           const functionName = toolCall.function?.name || toolCall.name || "";
           const functionArgs = toolCall.function?.arguments || toolCall.arguments || "{}";
-          
+
           // Find corresponding result
-          const result = mcpMetadata.mcp_call_results?.find(
+          const result = mcpMetadata?.mcp_call_results?.find(
             (r: any) => r.tool_call_id === toolCall.id || r.tool_call_id === toolCall.call_id
-          ) || mcpMetadata.mcp_call_results?.[index];
+          ) || mcpMetadata?.mcp_call_results?.[index];
 
           const callEvent: MCPEvent = {
             type: "response.output_item.done",