Remove SambaNovaSTTService

SambaNova no longer offers speech-to-text audio models.

README.md

@@ -87,7 +87,7 @@ Catch new features, interviews, and how-tos on our [Pipecat TV](https://www.yout
 
 | Category            | Services                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
 | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| Speech-to-Text      | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Cartesia](https://docs.pipecat.ai/server/services/stt/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/stt/elevenlabs), [Fal Wizper](https://docs.pipecat.ai/server/services/stt/fal), [Gladia](https://docs.pipecat.ai/server/services/stt/gladia), [Google](https://docs.pipecat.ai/server/services/stt/google), [Gradium](https://docs.pipecat.ai/server/services/stt/gradium), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [NVIDIA Riva](https://docs.pipecat.ai/server/services/stt/riva), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [SambaNova (Whisper)](https://docs.pipecat.ai/server/services/stt/sambanova), [Sarvam](https://docs.pipecat.ai/server/services/stt/sarvam), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper)                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
+| Speech-to-Text      | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Cartesia](https://docs.pipecat.ai/server/services/stt/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/stt/elevenlabs), [Fal Wizper](https://docs.pipecat.ai/server/services/stt/fal), [Gladia](https://docs.pipecat.ai/server/services/stt/gladia), [Google](https://docs.pipecat.ai/server/services/stt/google), [Gradium](https://docs.pipecat.ai/server/services/stt/gradium), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [NVIDIA Riva](https://docs.pipecat.ai/server/services/stt/riva), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [Sarvam](https://docs.pipecat.ai/server/services/stt/sarvam), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
 | LLMs                | [Anthropic](https://docs.pipecat.ai/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/server/services/llm/aws), [Azure](https://docs.pipecat.ai/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [Mistral](https://docs.pipecat.ai/server/services/llm/mistral), [Novita](https://docs.pipecat.ai/server/services/llm/novita), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nvidia), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [OpenRouter](https://docs.pipecat.ai/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/server/services/llm/qwen), [SambaNova](https://docs.pipecat.ai/server/services/llm/sambanova), [Sarvam](https://docs.pipecat.ai/server/services/llm/sarvam), [Together AI](https://docs.pipecat.ai/server/services/llm/together)                                                                                                                                                                                                                                                                                                                                                         |
 | Text-to-Speech      | [Async](https://docs.pipecat.ai/server/services/tts/asyncai), [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Camb AI](https://docs.pipecat.ai/server/services/tts/camb), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [Gradium](https://docs.pipecat.ai/server/services/tts/gradium), [Groq](https://docs.pipecat.ai/server/services/tts/groq), [Hume](https://docs.pipecat.ai/server/services/tts/hume), [Inworld](https://docs.pipecat.ai/server/services/tts/inworld), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/server/services/tts/minimax), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [NVIDIA Riva](https://docs.pipecat.ai/server/services/tts/riva), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [Piper](https://docs.pipecat.ai/server/services/tts/piper), [Resemble](https://docs.pipecat.ai/server/services/tts/resemble), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [Smallest](https://docs.pipecat.ai/server/services/tts/smallest), [Speechmatics](https://docs.pipecat.ai/server/services/tts/speechmatics), [xAI](https://docs.pipecat.ai/server/services/tts/xai), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) |
 | Speech-to-Speech    | [AWS Nova Sonic](https://docs.pipecat.ai/server/services/s2s/aws), [Gemini Multimodal Live](https://docs.pipecat.ai/server/services/s2s/gemini), [Grok Voice Agent](https://docs.pipecat.ai/server/services/s2s/grok), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai), [Ultravox](https://docs.pipecat.ai/server/services/s2s/ultravox),                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |

changelog/4154.removed.md

@@ -0,0 +1 @@
+- Removed `SambaNovaSTTService`. SambaNova no longer offers speech-to-text audio models. Use another STT provider instead.

examples/foundational/13g-sambanova-transcription.py

@@ -1,121 +0,0 @@
-#
-# Copyright (c) 2024-2026, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import os
-import time
-
-from dotenv import load_dotenv
-from loguru import logger
-
-from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.audio.vad.vad_analyzer import VADParams
-from pipecat.frames.frames import Frame, TranscriptionFrame, UserStoppedSpeakingFrame
-from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.runner import PipelineRunner
-from pipecat.pipeline.task import PipelineParams, PipelineTask
-from pipecat.processors.audio.vad_processor import VADProcessor
-from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-from pipecat.runner.types import RunnerArguments
-from pipecat.runner.utils import create_transport
-from pipecat.services.sambanova.stt import SambaNovaSTTService
-from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.daily.transport import DailyParams
-from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-
-load_dotenv(override=True)
-
-
-STOP_SECS = 2.0
-
-
-class TranscriptionLogger(FrameProcessor):
-    """Measures transcription latency.
-
-    Uses the (intentionally) long STOP_SECS parameter to give the transcription time to finish,
-    then outputs the timing between when the VAD first classified audio input as not-speech and
-    the delivery of the last transcription frame.
-    """
-
-    def __init__(self):
-        super().__init__()
-        self._last_transcription_time = time.time()
-
-    async def process_frame(self, frame: Frame, direction: FrameDirection):
-        await super().process_frame(frame, direction)
-
-        if isinstance(frame, UserStoppedSpeakingFrame):
-            logger.debug(
-                f"Transcription latency: {(STOP_SECS - (time.time() - self._last_transcription_time)):.2f}"
-            )
-
-        if isinstance(frame, TranscriptionFrame):
-            self._last_transcription_time = time.time()
-
-        # Push all frames through
-        await self.push_frame(frame, direction)
-
-
-# We use lambdas to defer transport parameter creation until the transport
-# type is selected at runtime.
-transport_params = {
-    "daily": lambda: DailyParams(
-        audio_in_enabled=True,
-    ),
-    "twilio": lambda: FastAPIWebsocketParams(
-        audio_in_enabled=True,
-    ),
-    "webrtc": lambda: TransportParams(
-        audio_in_enabled=True,
-    ),
-}
-
-
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
-    logger.info(f"Starting bot")
-
-    stt = SambaNovaSTTService(
-        settings=SambaNovaSTTService.Settings(
-            model="Whisper-Large-v3",
-        ),
-        api_key=os.getenv("SAMBANOVA_API_KEY"),
-    )
-
-    tl = TranscriptionLogger()
-    vad_processor = VADProcessor(
-        vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=STOP_SECS))
-    )
-
-    pipeline = Pipeline([transport.input(), vad_processor, stt, tl])
-
-    task = PipelineTask(
-        pipeline,
-        params=PipelineParams(
-            enable_metrics=True,
-            enable_usage_metrics=True,
-        ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
-    )
-
-    @transport.event_handler("on_client_disconnected")
-    async def on_client_disconnected(transport, client):
-        logger.info(f"Client disconnected")
-        await task.cancel()
-
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
-
-    await runner.run(task)
-
-
-async def bot(runner_args: RunnerArguments):
-    """Main bot entry point compatible with Pipecat Cloud."""
-    transport = await create_transport(runner_args, transport_params)
-    await run_bot(transport, runner_args)
-
-
-if __name__ == "__main__":
-    from pipecat.runner.run import main
-
-    main()

examples/foundational/14s-function-calling-sambanova.py

@@ -25,9 +25,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.services.sambanova.llm import SambaNovaLLMService
-from pipecat.services.sambanova.stt import SambaNovaSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -60,9 +60,8 @@ transport_params = {
 async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     logger.info(f"Starting bot")
 
-    stt = SambaNovaSTTService(
+    stt = DeepgramSTTService(
-        model="Whisper-Large-v3",
+        api_key=os.getenv("DEEPGRAM_API_KEY"),
-        api_key=os.getenv("SAMBANOVA_API_KEY"),
     )
 
     tts = CartesiaTTSService(

src/pipecat/services/sambanova/__init__.py

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

src/pipecat/services/sambanova/stt.py

@@ -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)

src/pipecat/services/stt_latency.py

@@ -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