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Code Issues Projects Releases Packages Wiki Activity Actions 102

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

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Fireworks AI deprecated audio inference on 2026-06-10
(https://docs.fireworks.ai/updates/changelog#audio-inference-and-image-generation-deprecation).
Live API testing confirms the endpoint is already non-functional: a valid
Fireworks API key receives HTTP 401 "Unauthorized" from
api.fireworks.ai/inference/v1/audio/transcriptions for every request,
regardless of payload. The audio-prod.api.fireworks.ai host referenced in
the test suite returns 401 for every path; the entire host is decommissioned.

Remove the dead FireworksAIAudioTranscriptionConfig class and every
reference to it across the codebase:

- Delete litellm/llms/fireworks_ai/audio_transcription/ directory (17-line
  config class that inherited from OpenAIWhisperAudioTranscriptionConfig)
- Remove the Fireworks branch from
  ProviderConfigManager.get_provider_audio_transcription_config() in
  litellm/utils.py; update the stale comment in
  get_optional_params_transcription that referenced fireworks ai
- Remove the FireworksAIAudioTranscriptionConfig entries from
  LLM_CONFIG_NAMES and _LLM_CONFIGS_IMPORT_MAP in
  litellm/_lazy_imports_registry.py
- Remove the TYPE_CHECKING re-export in litellm/__init__.py
- Remove the transcription branch in the fireworks_ai case of
  get_supported_openai_params() in
  litellm/litellm_core_utils/get_supported_openai_params.py
- Remove the whisper-v3 and whisper-v3-turbo entries from
  model_prices_and_context_window.json and
  litellm/model_prices_and_context_window_backup.json (both had
  mode: audio_transcription and zero-cost pricing)
- Remove the TestFireworksAIAudioTranscription test class and its
  imports from tests/llm_translation/test_fireworks_ai_translation.py

No other provider is affected. The openai_compatible_providers list,
FireworksAIMixin, and the OpenAI Whisper transcription handler all stay
because they are shared with other Fireworks endpoints and other
providers. The provider_endpoints_support.json registry already had
audio_transcriptions set to false for fireworks_ai.
This commit is contained in:
Ahmad Shahzad 2026-06-22 17:08:12 +05:00 • committed by GitHub
parent 45b4dca145
commit 2b29b92d0f
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8 changed files with 1 additions and 140 deletions
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3
litellm/__init__.py
View file

@ -1922,9 +1922,6 @@ if TYPE_CHECKING:
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,
)

5
litellm/_lazy_imports_registry.py
View file

@ -260,7 +260,6 @@ LLM_CONFIG_NAMES = (
"SambaNovaEmbeddingConfig",
"FireworksAIConfig",
"FireworksAITextCompletionConfig",
"FireworksAIAudioTranscriptionConfig",
"FireworksAIEmbeddingConfig",
"FriendliaiChatConfig",
"JinaAIEmbeddingConfig",
@ -1027,10 +1026,6 @@ _LLM_CONFIGS_IMPORT_MAP = {
".llms.fireworks_ai.completion.transformation",
"FireworksAITextCompletionConfig",
),
"FireworksAIAudioTranscriptionConfig": (
".llms.fireworks_ai.audio_transcription.transformation",
"FireworksAIAudioTranscriptionConfig",
),
"FireworksAIEmbeddingConfig": (
".llms.fireworks_ai.embed.fireworks_ai_transformation",
"FireworksAIEmbeddingConfig",

4
litellm/litellm_core_utils/get_supported_openai_params.py
View file

@ -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":

17
litellm/llms/fireworks_ai/audio_transcription/transformation.py
View file

@ -1,17 +0,0 @@
from typing import List
from litellm.types.llms.openai import OpenAIAudioTranscriptionOptionalParams
from ...openai.transcriptions.whisper_transformation import (
OpenAIWhisperAudioTranscriptionConfig,
)
from ..common_utils import FireworksAIMixin
class FireworksAIAudioTranscriptionConfig(
FireworksAIMixin, OpenAIWhisperAudioTranscriptionConfig
):
def get_supported_openai_params(
self, model: str
) -> List[OpenAIAudioTranscriptionOptionalParams]:
return ["language", "prompt", "response_format", "timestamp_granularities"]

18
litellm/model_prices_and_context_window_backup.json
View file

@ -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,

4
litellm/utils.py
View file

@ -3191,7 +3191,7 @@ def get_optional_params_transcription(
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(
@ -8915,8 +8915,6 @@ class ProviderConfigManager:
)
return AzureSpeechAudioTranscriptionConfig()
if litellm.LlmProviders.FIREWORKS_AI == provider:
return litellm.FireworksAIAudioTranscriptionConfig()
elif litellm.LlmProviders.DEEPGRAM == provider:
return litellm.DeepgramAudioTranscriptionConfig()
elif litellm.LlmProviders.ELEVENLABS == provider:

18
model_prices_and_context_window.json
View file

@ -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,

72
tests/llm_translation/test_fireworks_ai_translation.py
View file

@ -7,9 +7,7 @@ sys.path.insert(
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()
@ -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],