diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py b/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py
index 1950e37fc80..92adf407121 100644
--- a/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py
+++ b/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py
@@ -115,10 +115,23 @@ class AnthropicStreamWrapper(AdapterCompletionStreamWrapper):
                             "AnthropicStreamWrapper: stream yielded None as first chunk"
                         )
                     self._should_start_new_content_block(first_chunk)
-                    self.holding_chunk = LiteLLMAnthropicMessagesAdapter().translate_streaming_openai_response_to_anthropic(
+                    _translated = LiteLLMAnthropicMessagesAdapter().translate_streaming_openai_response_to_anthropic(
                         response=first_chunk,
                         current_content_block_index=self.current_content_block_index,
                     )
+                    # Don't hold an empty input_json_delta: OpenAI-style tool_use
+                    # start chunks carry arguments="" which translates to a
+                    # partial_json="" delta that should not be emitted.
+                    if (
+                        isinstance(_translated, dict)
+                        and _translated.get("type") == "content_block_delta"
+                        and isinstance(_translated.get("delta"), dict)
+                        and _translated["delta"].get("type") == "input_json_delta"
+                        and not _translated["delta"].get("partial_json")
+                    ):
+                        self.holding_chunk = None
+                    else:
+                        self.holding_chunk = _translated
                     self.chunk_queue.append(
                         {
                             "type": "content_block_start",
@@ -273,10 +286,21 @@ class AnthropicStreamWrapper(AdapterCompletionStreamWrapper):
                             "AnthropicStreamWrapper: stream yielded None as first chunk"
                         )
                     self._should_start_new_content_block(first_chunk)
-                    self.holding_chunk = LiteLLMAnthropicMessagesAdapter().translate_streaming_openai_response_to_anthropic(
+                    _translated = LiteLLMAnthropicMessagesAdapter().translate_streaming_openai_response_to_anthropic(
                         response=first_chunk,
                         current_content_block_index=self.current_content_block_index,
                     )
+                    # Don't hold an empty input_json_delta (see __next__ for explanation)
+                    if (
+                        isinstance(_translated, dict)
+                        and _translated.get("type") == "content_block_delta"
+                        and isinstance(_translated.get("delta"), dict)
+                        and _translated["delta"].get("type") == "input_json_delta"
+                        and not _translated["delta"].get("partial_json")
+                    ):
+                        self.holding_chunk = None
+                    else:
+                        self.holding_chunk = _translated
                     self.chunk_queue.append(
                         {
                             "type": "content_block_start",
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_parallel_tool_calls.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_parallel_tool_calls.py
index 1d25d719384..81f1126c954 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_parallel_tool_calls.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_parallel_tool_calls.py
@@ -134,13 +134,6 @@ def test_anthropic_stream_wrapper_single_tool_call():
     # Verify the expected sequence of chunk types
     expected_types = [
         "message_start",  # Initial message start
-        # TODO: for future contributors: if the initial content_block_start
-        # respects the upstream's starting chunk, the initial empty text block
-        # should be removed (and this test should be updated accordingly)
-        # ---------------------------------------------------------------------
-        "content_block_start",  # Initial empty text block start
-        "content_block_stop",  # End of empty text block
-        # ---------------------------------------------------------------------
         "content_block_start",  # Start of first tool_use content block
         "content_block_delta",  # {"city":
         "content_block_delta",  # "NY"}
@@ -196,13 +189,6 @@ def test_anthropic_stream_wrapper_back_to_back_tool_calls():
     # Verify the expected sequence of chunk types
     expected_types = [
         "message_start",  # Initial message start
-        # TODO: for future contributors: if the initial content_block_start
-        # respects the upstream's starting chunk, the initial empty text block
-        # should be removed (and this test should be updated accordingly)
-        # ---------------------------------------------------------------------
-        "content_block_start",  # Initial empty text block start
-        "content_block_stop",  # End of empty text block
-        # ---------------------------------------------------------------------
         "content_block_start",  # Start of first tool_use content block
         "content_block_delta",  # {"city":
         "content_block_delta",  # "NY"}
@@ -267,13 +253,6 @@ def test_anthropic_stream_wrapper_interleaved_tool_calls_and_text():
     # Verify the expected sequence of chunk types
     expected_types = [
         "message_start",  # Initial message start
-        # TODO: for future contributors: if the initial content_block_start
-        # respects the upstream's starting chunk, the initial empty text block
-        # should be removed (and this test should be updated accordingly)
-        # ---------------------------------------------------------------------
-        "content_block_start",  # Initial empty text block start
-        "content_block_stop",  # End of empty text block
-        # ---------------------------------------------------------------------
         "content_block_start",  # Start of first tool_use content block
         "content_block_delta",  # {"city":
         "content_block_delta",  # "NY"}