Remove SambaNovaSTTService
SambaNova no longer offers speech-to-text audio models.
This commit is contained in:
Mark Backman
@@ -87,7 +87,7 @@ Catch new features, interviews, and how-tos on our [Pipecat TV](https://www.yout
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| Category | Services |
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| ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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| 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), |
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1
changelog/4154.removed.md
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1
changelog/4154.removed.md
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@@ -0,0 +1 @@
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- Removed `SambaNovaSTTService`. SambaNova no longer offers speech-to-text audio models. Use another STT provider instead.
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@@ -1,121 +0,0 @@
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#
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# Copyright (c) 2024-2026, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import os
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import time
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.audio.vad.vad_analyzer import VADParams
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from pipecat.frames.frames import Frame, TranscriptionFrame, UserStoppedSpeakingFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.processors.audio.vad_processor import VADProcessor
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.services.sambanova.stt import SambaNovaSTTService
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.daily.transport import DailyParams
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from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
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load_dotenv(override=True)
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STOP_SECS = 2.0
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class TranscriptionLogger(FrameProcessor):
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"""Measures transcription latency.
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Uses the (intentionally) long STOP_SECS parameter to give the transcription time to finish,
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then outputs the timing between when the VAD first classified audio input as not-speech and
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the delivery of the last transcription frame.
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"""
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def __init__(self):
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super().__init__()
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self._last_transcription_time = time.time()
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async def process_frame(self, frame: Frame, direction: FrameDirection):
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await super().process_frame(frame, direction)
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if isinstance(frame, UserStoppedSpeakingFrame):
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logger.debug(
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f"Transcription latency: {(STOP_SECS - (time.time() - self._last_transcription_time)):.2f}"
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)
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if isinstance(frame, TranscriptionFrame):
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self._last_transcription_time = time.time()
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# Push all frames through
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await self.push_frame(frame, direction)
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# We use lambdas to defer transport parameter creation until the transport
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# type is selected at runtime.
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transport_params = {
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"daily": lambda: DailyParams(
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audio_in_enabled=True,
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),
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"twilio": lambda: FastAPIWebsocketParams(
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audio_in_enabled=True,
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),
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"webrtc": lambda: TransportParams(
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audio_in_enabled=True,
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),
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}
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async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Starting bot")
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stt = SambaNovaSTTService(
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settings=SambaNovaSTTService.Settings(
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model="Whisper-Large-v3",
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),
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api_key=os.getenv("SAMBANOVA_API_KEY"),
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)
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tl = TranscriptionLogger()
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vad_processor = VADProcessor(
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=STOP_SECS))
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)
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pipeline = Pipeline([transport.input(), vad_processor, stt, tl])
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task = PipelineTask(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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enable_usage_metrics=True,
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),
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idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
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)
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await task.cancel()
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.run(task)
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async def bot(runner_args: RunnerArguments):
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"""Main bot entry point compatible with Pipecat Cloud."""
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transport = await create_transport(runner_args, transport_params)
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await run_bot(transport, runner_args)
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if __name__ == "__main__":
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from pipecat.runner.run import main
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main()
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@@ -25,9 +25,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.services.cartesia.tts import CartesiaTTSService
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from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.llm_service import FunctionCallParams
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from pipecat.services.sambanova.llm import SambaNovaLLMService
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from pipecat.services.sambanova.stt import SambaNovaSTTService
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.daily.transport import DailyParams
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from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
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@@ -60,9 +60,8 @@ transport_params = {
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async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Starting bot")
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stt = SambaNovaSTTService(
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model="Whisper-Large-v3",
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api_key=os.getenv("SAMBANOVA_API_KEY"),
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stt = DeepgramSTTService(
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api_key=os.getenv("DEEPGRAM_API_KEY"),
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)
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tts = CartesiaTTSService(
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@@ -5,4 +5,3 @@
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#
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from .llm import *
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from .stt import *
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@@ -1,143 +0,0 @@
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#
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# Copyright (c) 2024-2026, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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"""SambaNova's Speech-to-Text service implementation for real-time transcription."""
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from dataclasses import dataclass
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from typing import Any, Optional
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from loguru import logger
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from pipecat.services.stt_latency import SAMBANOVA_TTFS_P99
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from pipecat.services.whisper.base_stt import (
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BaseWhisperSTTService,
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Transcription,
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)
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from pipecat.transcriptions.language import Language
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@dataclass
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class SambaNovaSTTSettings(BaseWhisperSTTService.Settings):
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"""Settings for the SambaNova STT service."""
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pass
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class SambaNovaSTTService(BaseWhisperSTTService): # type: ignore
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"""SambaNova Whisper speech-to-text service.
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Uses SambaNova's Whisper API to convert audio to text.
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Requires a SambaNova API key set via the api_key parameter or SAMBANOVA_API_KEY environment variable.
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"""
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Settings = SambaNovaSTTSettings
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def __init__(
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self,
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*,
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model: Optional[str] = None,
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api_key: Optional[str] = None,
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base_url: str = "https://api.sambanova.ai/v1",
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language: Optional[Language] = None,
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prompt: Optional[str] = None,
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temperature: Optional[float] = None,
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settings: Optional[Settings] = None,
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ttfs_p99_latency: Optional[float] = SAMBANOVA_TTFS_P99,
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**kwargs: Any,
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) -> None:
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"""Initialize SambaNova STT service.
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Args:
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model: Whisper model to use.
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.. deprecated:: 0.0.105
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Use ``settings=SambaNovaSTTService.Settings(model=...)`` instead.
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api_key: SambaNova API key. Defaults to None.
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base_url: API base URL. Defaults to "https://api.sambanova.ai/v1".
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language: Language of the audio input.
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.. deprecated:: 0.0.105
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Use ``settings=SambaNovaSTTService.Settings(language=...)`` instead.
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prompt: Optional text to guide the model's style or continue a previous segment.
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.. deprecated:: 0.0.105
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Use ``settings=SambaNovaSTTService.Settings(prompt=...)`` instead.
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temperature: Optional sampling temperature between 0 and 1.
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.. deprecated:: 0.0.105
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Use ``settings=SambaNovaSTTService.Settings(temperature=...)`` instead.
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settings: Runtime-updatable settings. When provided alongside deprecated
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parameters, ``settings`` values take precedence.
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ttfs_p99_latency: P99 latency from speech end to final transcript in seconds.
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Override for your deployment. See https://github.com/pipecat-ai/stt-benchmark
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**kwargs: Additional arguments passed to `pipecat.services.whisper.base_stt.BaseWhisperSTTService`.
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"""
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# --- 1. Hardcoded defaults ---
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default_settings = self.Settings(
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model="Whisper-Large-v3",
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language=Language.EN,
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prompt=None,
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temperature=None,
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)
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# --- 2. Deprecated direct-arg overrides ---
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if model is not None:
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self._warn_init_param_moved_to_settings("model", "model")
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default_settings.model = model
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if language is not None:
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self._warn_init_param_moved_to_settings("language", "language")
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default_settings.language = language
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if prompt is not None:
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self._warn_init_param_moved_to_settings("prompt", "prompt")
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default_settings.prompt = prompt
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if temperature is not None:
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self._warn_init_param_moved_to_settings("temperature", "temperature")
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default_settings.temperature = temperature
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# --- 3. (no params object for this service) ---
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# --- 4. Settings delta (canonical API, always wins) ---
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if settings is not None:
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default_settings.apply_update(settings)
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super().__init__(
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api_key=api_key,
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base_url=base_url,
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settings=default_settings,
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ttfs_p99_latency=ttfs_p99_latency,
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**kwargs,
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)
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async def _transcribe(self, audio: bytes) -> Transcription:
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assert self._settings.language is not None
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if self._include_prob_metrics:
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# https://docs.sambanova.ai/docs/en/features/audio#request-parameters
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logger.warning(
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"SambaNova STT does not support probability metrics "
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"(include_prob_metrics parameter has no effect). "
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"Check their docs: https://docs.sambanova.ai/docs/en/features/audio#request-parameters for more details."
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)
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# Build kwargs dict with only set parameters
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kwargs = {
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"file": ("audio.wav", audio, "audio/wav"),
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"model": self._settings.model,
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"response_format": "json",
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"language": self._settings.language,
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}
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if self._settings.prompt is not None:
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kwargs["prompt"] = self._settings.prompt
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if self._settings.temperature is not None:
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kwargs["temperature"] = self._settings.temperature
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return await self._client.audio.transcriptions.create(**kwargs)
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@@ -46,7 +46,6 @@ GRADIUM_TTFS_P99: float = 1.61
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GROQ_TTFS_P99: float = 1.54
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OPENAI_TTFS_P99: float = 2.01
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OPENAI_REALTIME_TTFS_P99: float = 1.66
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SAMBANOVA_TTFS_P99: float = 2.20
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SARVAM_TTFS_P99: float = 1.17
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SONIOX_TTFS_P99: float = 0.35
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SPEECHMATICS_TTFS_P99: float = 0.74
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Reference in New Issue
Block a user