Remove SambaNovaSTTService

SambaNova no longer offers speech-to-text audio models.
This commit is contained in:
Mark Backman
2026-03-26 12:22:06 -04:00
parent 5ad4aa9bea
commit ca2bfd6f12
7 changed files with 5 additions and 271 deletions

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@@ -5,4 +5,3 @@
#
from .llm import *
from .stt import *

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@@ -1,143 +0,0 @@
#
# Copyright (c) 2024-2026, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
"""SambaNova's Speech-to-Text service implementation for real-time transcription."""
from dataclasses import dataclass
from typing import Any, Optional
from loguru import logger
from pipecat.services.stt_latency import SAMBANOVA_TTFS_P99
from pipecat.services.whisper.base_stt import (
BaseWhisperSTTService,
Transcription,
)
from pipecat.transcriptions.language import Language
@dataclass
class SambaNovaSTTSettings(BaseWhisperSTTService.Settings):
"""Settings for the SambaNova STT service."""
pass
class SambaNovaSTTService(BaseWhisperSTTService): # type: ignore
"""SambaNova Whisper speech-to-text service.
Uses SambaNova's Whisper API to convert audio to text.
Requires a SambaNova API key set via the api_key parameter or SAMBANOVA_API_KEY environment variable.
"""
Settings = SambaNovaSTTSettings
def __init__(
self,
*,
model: Optional[str] = None,
api_key: Optional[str] = None,
base_url: str = "https://api.sambanova.ai/v1",
language: Optional[Language] = None,
prompt: Optional[str] = None,
temperature: Optional[float] = None,
settings: Optional[Settings] = None,
ttfs_p99_latency: Optional[float] = SAMBANOVA_TTFS_P99,
**kwargs: Any,
) -> None:
"""Initialize SambaNova STT service.
Args:
model: Whisper model to use.
.. deprecated:: 0.0.105
Use ``settings=SambaNovaSTTService.Settings(model=...)`` instead.
api_key: SambaNova API key. Defaults to None.
base_url: API base URL. Defaults to "https://api.sambanova.ai/v1".
language: Language of the audio input.
.. deprecated:: 0.0.105
Use ``settings=SambaNovaSTTService.Settings(language=...)`` instead.
prompt: Optional text to guide the model's style or continue a previous segment.
.. deprecated:: 0.0.105
Use ``settings=SambaNovaSTTService.Settings(prompt=...)`` instead.
temperature: Optional sampling temperature between 0 and 1.
.. deprecated:: 0.0.105
Use ``settings=SambaNovaSTTService.Settings(temperature=...)`` instead.
settings: Runtime-updatable settings. When provided alongside deprecated
parameters, ``settings`` values take precedence.
ttfs_p99_latency: P99 latency from speech end to final transcript in seconds.
Override for your deployment. See https://github.com/pipecat-ai/stt-benchmark
**kwargs: Additional arguments passed to `pipecat.services.whisper.base_stt.BaseWhisperSTTService`.
"""
# --- 1. Hardcoded defaults ---
default_settings = self.Settings(
model="Whisper-Large-v3",
language=Language.EN,
prompt=None,
temperature=None,
)
# --- 2. Deprecated direct-arg overrides ---
if model is not None:
self._warn_init_param_moved_to_settings("model", "model")
default_settings.model = model
if language is not None:
self._warn_init_param_moved_to_settings("language", "language")
default_settings.language = language
if prompt is not None:
self._warn_init_param_moved_to_settings("prompt", "prompt")
default_settings.prompt = prompt
if temperature is not None:
self._warn_init_param_moved_to_settings("temperature", "temperature")
default_settings.temperature = temperature
# --- 3. (no params object for this service) ---
# --- 4. Settings delta (canonical API, always wins) ---
if settings is not None:
default_settings.apply_update(settings)
super().__init__(
api_key=api_key,
base_url=base_url,
settings=default_settings,
ttfs_p99_latency=ttfs_p99_latency,
**kwargs,
)
async def _transcribe(self, audio: bytes) -> Transcription:
assert self._settings.language is not None
if self._include_prob_metrics:
# https://docs.sambanova.ai/docs/en/features/audio#request-parameters
logger.warning(
"SambaNova STT does not support probability metrics "
"(include_prob_metrics parameter has no effect). "
"Check their docs: https://docs.sambanova.ai/docs/en/features/audio#request-parameters for more details."
)
# Build kwargs dict with only set parameters
kwargs = {
"file": ("audio.wav", audio, "audio/wav"),
"model": self._settings.model,
"response_format": "json",
"language": self._settings.language,
}
if self._settings.prompt is not None:
kwargs["prompt"] = self._settings.prompt
if self._settings.temperature is not None:
kwargs["temperature"] = self._settings.temperature
return await self._client.audio.transcriptions.create(**kwargs)

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@@ -46,7 +46,6 @@ GRADIUM_TTFS_P99: float = 1.61
GROQ_TTFS_P99: float = 1.54
OPENAI_TTFS_P99: float = 2.01
OPENAI_REALTIME_TTFS_P99: float = 1.66
SAMBANOVA_TTFS_P99: float = 2.20
SARVAM_TTFS_P99: float = 1.17
SONIOX_TTFS_P99: float = 0.35
SPEECHMATICS_TTFS_P99: float = 0.74