diff --git a/litellm/llms/foundry_local/audio_transcription/transformation.py b/litellm/llms/foundry_local/audio_transcription/transformation.py
index 8463d7578a4..6c400fc33f5 100644
--- a/litellm/llms/foundry_local/audio_transcription/transformation.py
+++ b/litellm/llms/foundry_local/audio_transcription/transformation.py
@@ -63,7 +63,7 @@ class FoundryLocalAudioTranscriptionConfig(OpenAIWhisperAudioTranscriptionConfig
         litellm_params: Mapping[str, object],
     ) -> AudioTranscriptionRequestData:
         if not isinstance(audio_file, Path):
-            raise ValueError("Foundry Local audio must be prepared using audio_file_context")
+            raise TypeError("Foundry Local audio must be prepared using audio_file_context")
         if optional_params.get("stream"):
             raise ValueError("Streaming Foundry Local transcription is not supported by this integration")
         return AudioTranscriptionRequestData(
diff --git a/tests/unit/llms/foundry_local/chat/test_transformation.py b/tests/unit/llms/foundry_local/chat/test_transformation.py
index 8123c763436..10ff927b5d7 100644
--- a/tests/unit/llms/foundry_local/chat/test_transformation.py
+++ b/tests/unit/llms/foundry_local/chat/test_transformation.py
@@ -320,6 +320,12 @@ def test_should_reject_bare_audio_paths_and_unsupported_transcription_options(tm
         config.get_complete_url(None, None, "whisper-tiny", {}, {})
 
 
+def test_should_require_prepared_audio_for_transcription() -> None:
+    config: Final = FoundryLocalAudioTranscriptionConfig()
+    with pytest.raises(TypeError, match="must be prepared using audio_file_context"):
+        config.transform_audio_transcription_request("whisper-tiny", b"audio-content", {}, {})
+
+
 @pytest.mark.asyncio
 @pytest.mark.parametrize("stream", [False, True])
 async def test_should_complete_chat_asynchronously_over_foundry_http_service(stream: bool) -> None: