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fix: use TypeError for unprepared Foundry Local audio
Satisfy the strict TRY004 CI gate by distinguishing an invalid audio type from an invalid value. Add regression coverage for the rejected input. Files changed: litellm/llms/foundry_local/audio_transcription/transformation.py; tests/unit/llms/foundry_local/chat/test_transformation.py Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 4aafcdf7-d0d2-4be7-843f-e52bb16c92da
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2 changed files with 7 additions and 1 deletions
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@ -63,7 +63,7 @@ class FoundryLocalAudioTranscriptionConfig(OpenAIWhisperAudioTranscriptionConfig
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litellm_params: Mapping[str, object],
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) -> AudioTranscriptionRequestData:
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if not isinstance(audio_file, Path):
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raise ValueError("Foundry Local audio must be prepared using audio_file_context")
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raise TypeError("Foundry Local audio must be prepared using audio_file_context")
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if optional_params.get("stream"):
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raise ValueError("Streaming Foundry Local transcription is not supported by this integration")
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return AudioTranscriptionRequestData(
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@ -320,6 +320,12 @@ def test_should_reject_bare_audio_paths_and_unsupported_transcription_options(tm
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config.get_complete_url(None, None, "whisper-tiny", {}, {})
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def test_should_require_prepared_audio_for_transcription() -> None:
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config: Final = FoundryLocalAudioTranscriptionConfig()
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with pytest.raises(TypeError, match="must be prepared using audio_file_context"):
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config.transform_audio_transcription_request("whisper-tiny", b"audio-content", {}, {})
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@pytest.mark.asyncio
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@pytest.mark.parametrize("stream", [False, True])
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async def test_should_complete_chat_asynchronously_over_foundry_http_service(stream: bool) -> None:
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