diff --git a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
index 0fb6a449ab..8f3d5ec332 100644
--- a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
+++ b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
@@ -147,10 +147,26 @@ class ChunkProcessor:
                 tool_calls = delta.get("tool_calls", [])
 
                 for tool_call in tool_calls:
-                    if not tool_call or not hasattr(tool_call, "function"):
+                    # Handle both dict and object formats
+                    if not tool_call:
+                        continue
+                    
+                    # Check if tool_call has function (either as attribute or dict key)
+                    has_function = False
+                    if isinstance(tool_call, dict):
+                        has_function = "function" in tool_call and tool_call["function"] is not None
+                    else:
+                        has_function = hasattr(tool_call, "function") and tool_call.function is not None
+                    
+                    if not has_function:
                         continue
 
-                    index = getattr(tool_call, "index", 0)
+                    # Get index (handle both dict and object)
+                    if isinstance(tool_call, dict):
+                        index = tool_call.get("index", 0)
+                    else:
+                        index = getattr(tool_call, "index", 0)
+                    
                     if index not in tool_call_map:
                         tool_call_map[index] = {
                             "id": None,
@@ -160,30 +176,56 @@ class ChunkProcessor:
                             "provider_specific_fields": None,
                         }
 
-                    if hasattr(tool_call, "id") and tool_call.id:
-                        tool_call_map[index]["id"] = tool_call.id
-                    if hasattr(tool_call, "type") and tool_call.type:
-                        tool_call_map[index]["type"] = tool_call.type
-                    if hasattr(tool_call, "function"):
-                        if (
-                            hasattr(tool_call.function, "name")
-                            and tool_call.function.name
-                        ):
-                            tool_call_map[index]["name"] = tool_call.function.name
-                        if (
-                            hasattr(tool_call.function, "arguments")
-                            and tool_call.function.arguments
-                        ):
-                            tool_call_map[index]["arguments"].append(
-                                tool_call.function.arguments
-                            )
+                    # Extract id, type, and function data (handle both dict and object)
+                    if isinstance(tool_call, dict):
+                        if tool_call.get("id"):
+                            tool_call_map[index]["id"] = tool_call["id"]
+                        if tool_call.get("type"):
+                            tool_call_map[index]["type"] = tool_call["type"]
+                        
+                        function = tool_call.get("function", {})
+                        if isinstance(function, dict):
+                            if function.get("name"):
+                                tool_call_map[index]["name"] = function["name"]
+                            if function.get("arguments"):
+                                tool_call_map[index]["arguments"].append(function["arguments"])
+                        else:
+                            # function is an object
+                            if hasattr(function, "name") and function.name:
+                                tool_call_map[index]["name"] = function.name
+                            if hasattr(function, "arguments") and function.arguments:
+                                tool_call_map[index]["arguments"].append(function.arguments)
+                    else:
+                        # tool_call is an object
+                        if hasattr(tool_call, "id") and tool_call.id:
+                            tool_call_map[index]["id"] = tool_call.id
+                        if hasattr(tool_call, "type") and tool_call.type:
+                            tool_call_map[index]["type"] = tool_call.type
+                        if hasattr(tool_call, "function"):
+                            if (
+                                hasattr(tool_call.function, "name")
+                                and tool_call.function.name
+                            ):
+                                tool_call_map[index]["name"] = tool_call.function.name
+                            if (
+                                hasattr(tool_call.function, "arguments")
+                                and tool_call.function.arguments
+                            ):
+                                tool_call_map[index]["arguments"].append(
+                                    tool_call.function.arguments
+                                )
                     
                     # Preserve provider_specific_fields from streaming chunks
                     provider_fields = None
-                    if hasattr(tool_call, "provider_specific_fields") and tool_call.provider_specific_fields:
-                        provider_fields = tool_call.provider_specific_fields
-                    elif hasattr(tool_call, "function") and hasattr(tool_call.function, "provider_specific_fields") and tool_call.function.provider_specific_fields:
-                        provider_fields = tool_call.function.provider_specific_fields
+                    if isinstance(tool_call, dict):
+                        provider_fields = tool_call.get("provider_specific_fields")
+                        if not provider_fields and isinstance(tool_call.get("function"), dict):
+                            provider_fields = tool_call["function"].get("provider_specific_fields")
+                    else:
+                        if hasattr(tool_call, "provider_specific_fields") and tool_call.provider_specific_fields:
+                            provider_fields = tool_call.provider_specific_fields
+                        elif hasattr(tool_call, "function") and hasattr(tool_call.function, "provider_specific_fields") and tool_call.function.provider_specific_fields:
+                            provider_fields = tool_call.function.provider_specific_fields
                     
                     if provider_fields:
                         # Merge provider_specific_fields if multiple chunks have them
diff --git a/tests/test_litellm/google_genai/test_google_genai_adapter.py b/tests/test_litellm/google_genai/test_google_genai_adapter.py
index 884e06fdbc..a533355099 100644
--- a/tests/test_litellm/google_genai/test_google_genai_adapter.py
+++ b/tests/test_litellm/google_genai/test_google_genai_adapter.py
@@ -422,7 +422,7 @@ def test_streaming_tool_calls_transformation():
         ChatCompletionDeltaToolCall,
         Delta,
         Function,
-        ModelResponse,
+        ModelResponseStream,
         StreamingChoices,
     )
     
@@ -454,7 +454,7 @@ def test_streaming_tool_calls_transformation():
         delta=mock_delta
     )
     
-    mock_response = ModelResponse(
+    mock_response = ModelResponseStream(
         id="test-streaming",
         choices=[mock_choice],
         created=1234567890,
@@ -493,7 +493,7 @@ def test_streaming_partial_tool_calls_accumulation():
         ChatCompletionDeltaToolCall,
         Delta,
         Function,
-        ModelResponse,
+        ModelResponseStream,
         StreamingChoices,
     )
     
@@ -543,7 +543,7 @@ def test_streaming_partial_tool_calls_accumulation():
             delta=mock_delta
         )
         
-        mock_response = ModelResponse(
+        mock_response = ModelResponseStream(
             id="test-streaming",
             choices=[mock_choice],
             created=1234567890,
@@ -595,7 +595,7 @@ def test_streaming_multiple_partial_tool_calls():
         ChatCompletionDeltaToolCall,
         Delta,
         Function,
-        ModelResponse,
+        ModelResponseStream,
         StreamingChoices,
     )
     
@@ -642,7 +642,7 @@ def test_streaming_multiple_partial_tool_calls():
             delta=mock_delta
         )
         
-        mock_response = ModelResponse(
+        mock_response = ModelResponseStream(
             id="test-streaming",
             choices=[mock_choice],
             created=1234567890,