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refactor(fireworks_ai): remove deprecated audio transcriptions endpoint #30917

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Merged
Sameerlite merged 1 commit into from
Jun 22, 2026
Merged

refactor(fireworks_ai): remove deprecated audio transcriptions endpoint #30917

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3 changes: 0 additions & 3 deletions litellm/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1922,9 +1922,6 @@ def set_global_gitlab_config(config: Dict[str, Any]) -> None:
from .llms.fireworks_ai.completion.transformation import (
FireworksAITextCompletionConfig as FireworksAITextCompletionConfig,
)
from .llms.fireworks_ai.audio_transcription.transformation import (
FireworksAIAudioTranscriptionConfig as FireworksAIAudioTranscriptionConfig,
)
from .llms.fireworks_ai.embed.fireworks_ai_transformation import (
FireworksAIEmbeddingConfig as FireworksAIEmbeddingConfig,
)
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5 changes: 0 additions & 5 deletions litellm/_lazy_imports_registry.py
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Expand Up @@ -260,7 +260,6 @@
"SambaNovaEmbeddingConfig",
"FireworksAIConfig",
"FireworksAITextCompletionConfig",
"FireworksAIAudioTranscriptionConfig",
"FireworksAIEmbeddingConfig",
"FriendliaiChatConfig",
"JinaAIEmbeddingConfig",
Expand Down Expand Up @@ -1027,10 +1026,6 @@
".llms.fireworks_ai.completion.transformation",
"FireworksAITextCompletionConfig",
),
"FireworksAIAudioTranscriptionConfig": (
".llms.fireworks_ai.audio_transcription.transformation",
"FireworksAIAudioTranscriptionConfig",
),
"FireworksAIEmbeddingConfig": (
".llms.fireworks_ai.embed.fireworks_ai_transformation",
"FireworksAIEmbeddingConfig",
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4 changes: 0 additions & 4 deletions litellm/litellm_core_utils/get_supported_openai_params.py
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Expand Up @@ -85,10 +85,6 @@ def get_supported_openai_params(
return litellm.FireworksAIEmbeddingConfig().get_supported_openai_params(
model=model
)
elif request_type == "transcription":
return litellm.FireworksAIAudioTranscriptionConfig().get_supported_openai_params(
model=model
)
else:
return litellm.FireworksAIConfig().get_supported_openai_params(model=model)
elif custom_llm_provider == "nvidia_nim":
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17 changes: 0 additions & 17 deletions litellm/llms/fireworks_ai/audio_transcription/transformation.py
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This file was deleted.

18 changes: 0 additions & 18 deletions litellm/model_prices_and_context_window_backup.json
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Original file line number Diff line number Diff line change
Expand Up @@ -39908,24 +39908,6 @@
"litellm_provider": "fireworks_ai",
"mode": "chat"
},
"fireworks_ai/accounts/fireworks/models/whisper-v3": {
"max_tokens": 4096,
"max_input_tokens": 4096,
"max_output_tokens": 4096,
"input_cost_per_token": 0.0,
"output_cost_per_token": 0.0,
"litellm_provider": "fireworks_ai",
"mode": "audio_transcription"
},
"fireworks_ai/accounts/fireworks/models/whisper-v3-turbo": {
"max_tokens": 4096,
"max_input_tokens": 4096,
"max_output_tokens": 4096,
"input_cost_per_token": 0.0,
"output_cost_per_token": 0.0,
"litellm_provider": "fireworks_ai",
"mode": "audio_transcription"
},
"fireworks_ai/accounts/fireworks/models/yi-34b": {
"max_tokens": 4096,
"max_input_tokens": 4096,
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4 changes: 1 addition & 3 deletions litellm/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3191,7 +3191,7 @@ def _check_valid_arg(supported_params):
model=model,
drop_params=drop_params if drop_params is not None else False,
)
elif provider_config is not None: # handles fireworks ai, and any future providers
elif provider_config is not None: # custom audio transcription config
supported_params = provider_config.get_supported_openai_params(model=model)
_check_valid_arg(supported_params=supported_params)
optional_params = provider_config.map_openai_params(
Expand Down Expand Up @@ -8915,8 +8915,6 @@ def get_provider_audio_transcription_config(
)

return AzureSpeechAudioTranscriptionConfig()
if litellm.LlmProviders.FIREWORKS_AI == provider:
return litellm.FireworksAIAudioTranscriptionConfig()
elif litellm.LlmProviders.DEEPGRAM == provider:
return litellm.DeepgramAudioTranscriptionConfig()
elif litellm.LlmProviders.ELEVENLABS == provider:
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18 changes: 0 additions & 18 deletions model_prices_and_context_window.json
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Original file line number Diff line number Diff line change
Expand Up @@ -39946,24 +39946,6 @@
"litellm_provider": "fireworks_ai",
"mode": "chat"
},
"fireworks_ai/accounts/fireworks/models/whisper-v3": {
"max_tokens": 4096,
"max_input_tokens": 4096,
"max_output_tokens": 4096,
"input_cost_per_token": 0.0,
"output_cost_per_token": 0.0,
"litellm_provider": "fireworks_ai",
"mode": "audio_transcription"
},
"fireworks_ai/accounts/fireworks/models/whisper-v3-turbo": {
"max_tokens": 4096,
"max_input_tokens": 4096,
"max_output_tokens": 4096,
"input_cost_per_token": 0.0,
"output_cost_per_token": 0.0,
"litellm_provider": "fireworks_ai",
"mode": "audio_transcription"
},
"fireworks_ai/accounts/fireworks/models/yi-34b": {
"max_tokens": 4096,
"max_input_tokens": 4096,
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72 changes: 0 additions & 72 deletions tests/llm_translation/test_fireworks_ai_translation.py
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Expand Up @@ -7,9 +7,7 @@
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import litellm
from litellm import transcription
from litellm.llms.fireworks_ai.chat.transformation import FireworksAIConfig
from base_audio_transcription_unit_tests import BaseLLMAudioTranscriptionTest

fireworks = FireworksAIConfig()

Expand Down Expand Up @@ -69,76 +67,6 @@ def test_map_response_format():
assert result == {"response_format": response_format}


_AUDIO_FILE_PATH = os.path.join(
os.path.dirname(os.path.realpath(__file__)), "gettysburg.wav"
)


class TestFireworksAIAudioTranscription(BaseLLMAudioTranscriptionTest):
def get_base_audio_transcription_call_args(self) -> dict:
return {
"model": "fireworks_ai/whisper-v3",
"api_base": "https://audio-prod.api.fireworks.ai/v1",
}

def get_custom_llm_provider(self) -> litellm.LlmProviders:
return litellm.LlmProviders.FIREWORKS_AI

def test_audio_transcription(self):
from unittest.mock import MagicMock

from openai.types.audio import Transcription

audio_file = open(_AUDIO_FILE_PATH, "rb")
mock_client = MagicMock()
mock_client.audio.transcriptions.create.return_value = Transcription(
text="four score and seven years ago"
)

transcript = transcription(
**self.get_base_audio_transcription_call_args(),
file=audio_file,
api_key="fw-test-key",
client=mock_client,
)

assert transcript.text == "four score and seven years ago"
sent = mock_client.audio.transcriptions.create.call_args.kwargs
assert sent["model"] == "whisper-v3"
assert sent["file"] is audio_file

@pytest.mark.asyncio
async def test_audio_transcription_async(self):
from unittest.mock import AsyncMock, MagicMock

from openai.types.audio import Transcription

audio_file = open(_AUDIO_FILE_PATH, "rb")
raw_response = MagicMock()
raw_response.headers = {}
raw_response.parse.return_value = Transcription(
text="four score and seven years ago"
)
mock_client = MagicMock()
mock_client.audio.transcriptions.with_raw_response.create = AsyncMock(
return_value=raw_response
)

transcript = await litellm.atranscription(
**self.get_base_audio_transcription_call_args(),
file=audio_file,
api_key="fw-test-key",
client=mock_client,
)

assert transcript.text == "four score and seven years ago"
sent = (
mock_client.audio.transcriptions.with_raw_response.create.call_args.kwargs
)
assert sent["model"] == "whisper-v3"
assert sent["file"] is audio_file


@pytest.mark.parametrize(
"disable_add_transform_inline_image_block",
[True, False],
Expand Down
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