From 05fa727c22b63060e085c19713c786aa35be1bfe Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Thu, 5 Mar 2026 13:13:55 -0500 Subject: [PATCH 1/4] Update core dependency version ranges for flexibility Widen version ranges for stable packages (aiofiles, docstring_parser, onnxruntime) while adding upper bounds to previously uncapped packages (transformers, numba, wait_for2). Bump soxr to 1.0.0 and pyloudnorm to 0.2.0. Move silero extra to empty since onnxruntime is now a core dep. --- pyproject.toml | 22 ++++----- src/pipecat/audio/vad/silero.py | 2 +- uv.lock | 85 ++++++++++++++++----------------- 3 files changed, 53 insertions(+), 56 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 0324c311a..5b675ac8c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,10 +20,10 @@ classifiers = [ "Topic :: Scientific/Engineering :: Artificial Intelligence" ] dependencies = [ - "aiofiles>=24.1.0,<25", + "aiofiles>=24.1.0,<27", "aiohttp>=3.11.12,<4", "audioop-lts~=0.2.1; python_version>='3.13'", - "docstring_parser~=0.16", + "docstring_parser>=0.16,<1", "loguru~=0.7.3", "Markdown>=3.7,<4", "nltk>=3.9.3,<4", @@ -31,17 +31,17 @@ dependencies = [ "Pillow>=11.1.0,<13", "protobuf~=5.29.6", "pydantic>=2.10.6,<3", - "pyloudnorm~=0.1.1", + "pyloudnorm~=0.2.0", "resampy~=0.4.3", - "soxr~=0.5.0", + "soxr~=1.0.0", "openai>=1.74.0,<3", # Pinning numba to resolve package dependencies - "numba>=0.61.2", - "wait_for2>=0.4.1; python_version<'3.12'", + "numba>=0.61.2,<1", + "wait_for2>=0.4.1,<1; python_version<'3.12'", # Required by LocalSmartTurnAnalyzerV3 # Inlined here instead of using a self-referential extra for Poetry compatibility. - "transformers", - "onnxruntime~=1.23.2", + "transformers>=4.48.0,<6", + "onnxruntime>=1.23.2,<2", ] [project.urls] @@ -86,12 +86,12 @@ lemonslice = [ "pipecat-ai[daily]" ] livekit = [ "livekit~=1.0.13", "livekit-api~=1.0.5", "tenacity>=8.2.3,<10.0.0", "pyjwt>=2.10.1" ] lmnt = [ "pipecat-ai[websockets-base]" ] local = [ "pyaudio~=0.2.14" ] -local-smart-turn = [ "coremltools>=8.0", "transformers", "torch>=2.5.0,<3", "torchaudio>=2.5.0,<3" ] +local-smart-turn = [ "coremltools>=8.0", "transformers>=4.48.0,<6", "torch>=2.5.0,<3", "torchaudio>=2.5.0,<3" ] mcp = [ "mcp[cli]>=1.11.0,<2" ] mem0 = [ "mem0ai~=0.1.94" ] mistral = [] mlx-whisper = [ "mlx-whisper~=0.4.2" ] -moondream = [ "accelerate~=1.10.0", "einops~=0.8.0", "pyvips[binary]~=3.0.0", "timm~=1.0.13", "transformers>=4.48.0" ] +moondream = [ "accelerate~=1.10.0", "einops~=0.8.0", "pyvips[binary]~=3.0.0", "timm~=1.0.13", "transformers>=4.48.0,<6" ] neuphonic = [ "pipecat-ai[websockets-base]" ] noisereduce = [ "noisereduce~=3.0.3" ] nvidia = [ "nvidia-riva-client~=2.21.1" ] @@ -111,7 +111,7 @@ sagemaker = ["aws_sdk_sagemaker_runtime_http2; python_version>='3.12'"] sambanova = [] sarvam = [ "sarvamai==0.1.26a2", "pipecat-ai[websockets-base]" ] sentry = [ "sentry-sdk>=2.28.0,<3" ] -silero = [ "onnxruntime~=1.23.2" ] +silero = [] simli = [ "simli-ai~=2.0.1"] soniox = [ "pipecat-ai[websockets-base]" ] soundfile = [ "soundfile~=0.13.1" ] diff --git a/src/pipecat/audio/vad/silero.py b/src/pipecat/audio/vad/silero.py index 5b4ad9c0a..c15ba5b90 100644 --- a/src/pipecat/audio/vad/silero.py +++ b/src/pipecat/audio/vad/silero.py @@ -27,7 +27,7 @@ try: except ModuleNotFoundError as e: logger.error(f"Exception: {e}") - logger.error("In order to use Silero VAD, you need to `pip install pipecat-ai[silero]`.") + logger.error("In order to use Silero VAD, you need to `pip install pipecat-ai`.") raise Exception(f"Missing module(s): {e}") diff --git a/uv.lock b/uv.lock index 8c9d3b486..db8f68ade 100644 --- a/uv.lock +++ b/uv.lock @@ -1933,15 +1933,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e6/ab/fb21f4c939bb440104cc2b396d3be1d9b7a9fd3c6c2a53d98c45b3d7c954/fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437", size = 202505, upload-time = "2026-02-05T21:50:51.819Z" }, ] -[[package]] -name = "future" -version = "1.0.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a7/b2/4140c69c6a66432916b26158687e821ba631a4c9273c474343badf84d3ba/future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05", size = 1228490, upload-time = "2024-02-21T11:52:38.461Z" } -wheels = [ - { url = 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Replace CartesiaHttpTTSService's internal use of the Cartesia SDK with direct aiohttp calls, accepting an optional aiohttp_session parameter. Replace fal-client SDK calls in FalSTTService and FalImageGenService with direct HTTP to bypass the SDK's aggressive retry/backoff logic that caused significant latency regressions. --- .../07-interruptible-cartesia-http.py | 95 ++++---- .../07c-interruptible-deepgram-sagemaker.py | 2 +- .../foundational/07w-interruptible-fal.py | 99 ++++---- pyproject.toml | 36 +-- src/pipecat/services/cartesia/tts.py | 31 +-- src/pipecat/services/fal/image.py | 28 ++- src/pipecat/services/fal/stt.py | 50 ++-- uv.lock | 213 +++++------------- 8 files changed, 246 insertions(+), 308 deletions(-) diff --git a/examples/foundational/07-interruptible-cartesia-http.py b/examples/foundational/07-interruptible-cartesia-http.py index 558217413..8ce1ed375 100644 --- a/examples/foundational/07-interruptible-cartesia-http.py +++ b/examples/foundational/07-interruptible-cartesia-http.py @@ -6,6 +6,7 @@ import os +import aiohttp from dotenv import load_dotenv from loguru import logger @@ -52,60 +53,64 @@ transport_params = { async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): logger.info(f"Starting bot") - stt = CartesiaSTTService(api_key=os.getenv("CARTESIA_API_KEY")) + async with aiohttp.ClientSession() as session: + stt = CartesiaSTTService(api_key=os.getenv("CARTESIA_API_KEY")) - tts = CartesiaHttpTTSService( - api_key=os.getenv("CARTESIA_API_KEY"), - voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady - ) + tts = CartesiaHttpTTSService( + api_key=os.getenv("CARTESIA_API_KEY"), + voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady + aiohttp_session=session, + ) - llm = OpenAILLMService( - api_key=os.getenv("OPENAI_API_KEY"), - system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.", - ) + llm = OpenAILLMService( + api_key=os.getenv("OPENAI_API_KEY"), + system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.", + ) - context = LLMContext() - user_aggregator, assistant_aggregator = LLMContextAggregatorPair( - context, - user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()), - ) + context = LLMContext() + user_aggregator, assistant_aggregator = LLMContextAggregatorPair( + context, + user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()), + ) - pipeline = Pipeline( - [ - transport.input(), # Transport user input - stt, - user_aggregator, # User responses - llm, # LLM - tts, # TTS - transport.output(), # Transport bot output - assistant_aggregator, # Assistant spoken responses - ] - ) + pipeline = Pipeline( + [ + transport.input(), # Transport user input + stt, + user_aggregator, # User responses + llm, # LLM + tts, # TTS + transport.output(), # Transport bot output + assistant_aggregator, # Assistant spoken responses + ] + ) - task = PipelineTask( - pipeline, - params=PipelineParams( - enable_metrics=True, - enable_usage_metrics=True, - ), - idle_timeout_secs=runner_args.pipeline_idle_timeout_secs, - ) + 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_connected") - async def on_client_connected(transport, client): - logger.info(f"Client connected") - # Kick off the conversation. - context.add_message({"role": "system", "content": "Please introduce yourself to the user."}) - await task.queue_frames([LLMRunFrame()]) + @transport.event_handler("on_client_connected") + async def on_client_connected(transport, client): + logger.info(f"Client connected") + # Kick off the conversation. + context.add_message( + {"role": "system", "content": "Please introduce yourself to the user."} + ) + await task.queue_frames([LLMRunFrame()]) - @transport.event_handler("on_client_disconnected") - async def on_client_disconnected(transport, client): - logger.info(f"Client disconnected") - await task.cancel() + @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) + runner = PipelineRunner(handle_sigint=runner_args.handle_sigint) - await runner.run(task) + await runner.run(task) async def bot(runner_args: RunnerArguments): diff --git a/examples/foundational/07c-interruptible-deepgram-sagemaker.py b/examples/foundational/07c-interruptible-deepgram-sagemaker.py index 8c7fc6556..406f95445 100644 --- a/examples/foundational/07c-interruptible-deepgram-sagemaker.py +++ b/examples/foundational/07c-interruptible-deepgram-sagemaker.py @@ -110,7 +110,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): async def on_client_connected(transport, client): logger.info(f"Client connected") # Kick off the conversation. - context.add_message({"role": "system", "content": "Please introduce yourself to the user."}) + context.add_message({"role": "user", "content": "Please introduce yourself to the user."}) await task.queue_frames([LLMRunFrame()]) @transport.event_handler("on_client_disconnected") diff --git a/examples/foundational/07w-interruptible-fal.py b/examples/foundational/07w-interruptible-fal.py index 2d1886ddb..6d88e8624 100644 --- a/examples/foundational/07w-interruptible-fal.py +++ b/examples/foundational/07w-interruptible-fal.py @@ -7,6 +7,7 @@ import os +import aiohttp from dotenv import load_dotenv from loguru import logger @@ -53,62 +54,66 @@ transport_params = { async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): logger.info(f"Starting bot") - stt = FalSTTService( - api_key=os.getenv("FAL_KEY"), - ) + async with aiohttp.ClientSession() as session: + stt = FalSTTService( + api_key=os.getenv("FAL_KEY"), + aiohttp_session=session, + ) - tts = CartesiaTTSService( - api_key=os.getenv("CARTESIA_API_KEY"), - voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady - ) + tts = CartesiaTTSService( + api_key=os.getenv("CARTESIA_API_KEY"), + voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady + ) - llm = OpenAILLMService( - api_key=os.getenv("OPENAI_API_KEY"), - system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.", - ) + llm = OpenAILLMService( + api_key=os.getenv("OPENAI_API_KEY"), + system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.", + ) - context = LLMContext() - user_aggregator, assistant_aggregator = LLMContextAggregatorPair( - context, - user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()), - ) + context = LLMContext() + user_aggregator, assistant_aggregator = LLMContextAggregatorPair( + context, + user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()), + ) - pipeline = Pipeline( - [ - transport.input(), # Transport user input - stt, # STT - user_aggregator, # User responses - llm, # LLM - tts, # TTS - transport.output(), # Transport bot output - assistant_aggregator, # Assistant spoken responses - ] - ) + pipeline = Pipeline( + [ + transport.input(), # Transport user input + stt, # STT + user_aggregator, # User responses + llm, # LLM + tts, # TTS + transport.output(), # Transport bot output + assistant_aggregator, # Assistant spoken responses + ] + ) - task = PipelineTask( - pipeline, - params=PipelineParams( - enable_metrics=True, - enable_usage_metrics=True, - ), - idle_timeout_secs=runner_args.pipeline_idle_timeout_secs, - ) + 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_connected") - async def on_client_connected(transport, client): - logger.info(f"Client connected") - # Kick off the conversation. - context.add_message({"role": "system", "content": "Please introduce yourself to the user."}) - await task.queue_frames([LLMRunFrame()]) + @transport.event_handler("on_client_connected") + async def on_client_connected(transport, client): + logger.info(f"Client connected") + # Kick off the conversation. + context.add_message( + {"role": "system", "content": "Please introduce yourself to the user."} + ) + await task.queue_frames([LLMRunFrame()]) - @transport.event_handler("on_client_disconnected") - async def on_client_disconnected(transport, client): - logger.info(f"Client disconnected") - await task.cancel() + @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) + runner = PipelineRunner(handle_sigint=runner_args.handle_sigint) - await runner.run(task) + await runner.run(task) async def bot(runner_args: RunnerArguments): diff --git a/pyproject.toml b/pyproject.toml index 5b675ac8c..ec56f0ede 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -53,37 +53,37 @@ Changelog = "https://github.com/pipecat-ai/pipecat/blob/main/CHANGELOG.md" [project.optional-dependencies] aic = [ "aic-sdk~=2.1.0" ] -anthropic = [ "anthropic~=0.49.0" ] +anthropic = [ "anthropic>=0.49.0,<1" ] assemblyai = [ "pipecat-ai[websockets-base]" ] asyncai = [ "pipecat-ai[websockets-base]" ] -aws = [ "aioboto3~=15.5.0", "pipecat-ai[websockets-base]" ] -aws-nova-sonic = [ "aws_sdk_bedrock_runtime~=0.2.0; python_version>='3.12'" ] -azure = [ "azure-cognitiveservices-speech~=1.47.0"] -cartesia = [ "cartesia~=2.0.3", "pipecat-ai[websockets-base]" ] -camb = [ "camb-sdk>=1.5.4" ] +aws = [ "aioboto3>=15.5.0,<16", "pipecat-ai[websockets-base]" ] +aws-nova-sonic = [ "aws_sdk_bedrock_runtime~=0.4.0; python_version>='3.12'" ] +azure = [ "azure-cognitiveservices-speech>=1.47.0,<2"] +cartesia = [ "pipecat-ai[websockets-base]" ] +camb = [ "camb-sdk>=1.5.4,<2" ] cerebras = [] daily = [ "daily-python~=0.23.0" ] -deepgram = [ "deepgram-sdk~=6.0.1", "pipecat-ai[websockets-base]" ] +deepgram = [ "deepgram-sdk>=6.0.1,<7", "pipecat-ai[websockets-base]" ] deepseek = [] elevenlabs = [ "pipecat-ai[websockets-base]" ] -fal = [ "fal-client~=0.5.9" ] +fal = [] fireworks = [] -fish = [ "ormsgpack~=1.7.0", "pipecat-ai[websockets-base]" ] +fish = [ "ormsgpack>=1.7.0,<2", "pipecat-ai[websockets-base]" ] gladia = [ "pipecat-ai[websockets-base]" ] google = [ "google-cloud-speech>=2.33.0,<3", "google-cloud-texttospeech>=2.31.0,<3", "google-genai>=1.57.0,<2", "pipecat-ai[websockets-base]" ] gradium = [ "pipecat-ai[websockets-base]" ] grok = [] -groq = [ "groq~=0.23.0" ] +groq = [ "groq>=0.23.0,<2" ] gstreamer = [ "pygobject~=3.50.0" ] -heygen = [ "livekit>=1.0.13", "pipecat-ai[websockets-base]" ] -hume = [ "hume>=0.11.2" ] +heygen = [ "livekit>=1.0.13,<2", "pipecat-ai[websockets-base]" ] +hume = [ "hume>=0.11.2,<1" ] inworld = [] koala = [ "pvkoala~=2.0.3" ] kokoro = [ "kokoro-onnx>=0.5.0,<1", "requests>=2.32.5,<3" ] krisp = [ "pipecat-ai-krisp~=0.4.0" ] langchain = [ "langchain~=0.3.20", "langchain-community~=0.3.20", "langchain-openai~=0.3.9" ] lemonslice = [ "pipecat-ai[daily]" ] -livekit = [ "livekit~=1.0.13", "livekit-api~=1.0.5", "tenacity>=8.2.3,<10.0.0", "pyjwt>=2.10.1" ] +livekit = [ "livekit>=1.0.13,<2", "livekit-api>=1.0.5,<2", "tenacity>=8.2.3,<10.0.0", "pyjwt>=2.10.1,<3" ] lmnt = [ "pipecat-ai[websockets-base]" ] local = [ "pyaudio~=0.2.14" ] local-smart-turn = [ "coremltools>=8.0", "transformers>=4.48.0,<6", "torch>=2.5.0,<3", "torchaudio>=2.5.0,<3" ] @@ -94,7 +94,7 @@ mlx-whisper = [ "mlx-whisper~=0.4.2" ] moondream = [ "accelerate~=1.10.0", "einops~=0.8.0", "pyvips[binary]~=3.0.0", "timm~=1.0.13", "transformers>=4.48.0,<6" ] neuphonic = [ "pipecat-ai[websockets-base]" ] noisereduce = [ "noisereduce~=3.0.3" ] -nvidia = [ "nvidia-riva-client~=2.21.1" ] +nvidia = [ "nvidia-riva-client>=2.21.1,<3" ] openai = [ "pipecat-ai[websockets-base]" ] rnnoise = [ "pyrnnoise~=0.4.1" ] openpipe = [ "openpipe>=4.50.0,<6" ] @@ -106,7 +106,7 @@ remote-smart-turn = [] resembleai = [ "pipecat-ai[websockets-base]" ] rime = [ "pipecat-ai[websockets-base]" ] riva = [ "pipecat-ai[nvidia]" ] -runner = [ "python-dotenv>=1.0.0,<2.0.0", "uvicorn>=0.32.0,<1.0.0", "fastapi>=0.115.6,<0.128.0", "pipecat-ai-small-webrtc-prebuilt>=2.3.0"] +runner = [ "python-dotenv>=1.0.0,<2.0.0", "uvicorn>=0.32.0,<1.0.0", "fastapi>=0.115.6,<1", "pipecat-ai-small-webrtc-prebuilt>=2.3.0"] sagemaker = ["aws_sdk_sagemaker_runtime_http2; python_version>='3.12'"] sambanova = [] sarvam = [ "sarvamai==0.1.26a2", "pipecat-ai[websockets-base]" ] @@ -119,12 +119,12 @@ speechmatics = [ "speechmatics-voice[smart]~=0.2.8" ] strands = [ "strands-agents>=1.9.1,<2" ] tavus=[] together = [] -tracing = [ "opentelemetry-sdk>=1.33.0", "opentelemetry-api>=1.33.0", "opentelemetry-instrumentation>=0.54b0" ] +tracing = [ "opentelemetry-sdk>=1.33.0,<2", "opentelemetry-api>=1.33.0,<2", "opentelemetry-instrumentation>=0.54b0,<1" ] ultravox = [ "pipecat-ai[websockets-base]" ] webrtc = [ "aiortc>=1.14.0,<2", "opencv-python>=4.11.0.86,<5" ] -websocket = [ "pipecat-ai[websockets-base]", "fastapi>=0.115.6,<0.128.0" ] +websocket = [ "pipecat-ai[websockets-base]", "fastapi>=0.115.6,<1" ] websockets-base = [ "websockets>=13.1,<16.0" ] -whisper = [ "faster-whisper~=1.1.1" ] +whisper = [ "faster-whisper~=1.2.1" ] [dependency-groups] dev = [ diff --git a/src/pipecat/services/cartesia/tts.py b/src/pipecat/services/cartesia/tts.py index 2e637c339..a096a36b3 100644 --- a/src/pipecat/services/cartesia/tts.py +++ b/src/pipecat/services/cartesia/tts.py @@ -13,6 +13,7 @@ from dataclasses import dataclass, field from enum import Enum from typing import Any, AsyncGenerator, List, Literal, Mapping, Optional +import aiohttp from loguru import logger from pydantic import BaseModel, Field @@ -33,13 +34,8 @@ from pipecat.utils.text.base_text_aggregator import BaseTextAggregator from pipecat.utils.text.skip_tags_aggregator import SkipTagsAggregator from pipecat.utils.tracing.service_decorators import traced_tts -# Suppress regex warnings from pydub (used by cartesia) -warnings.filterwarnings("ignore", message="invalid escape sequence", category=SyntaxWarning) - - # See .env.example for Cartesia configuration needed try: - from cartesia import AsyncCartesia from websockets.asyncio.client import connect as websocket_connect from websockets.protocol import State except ModuleNotFoundError as e: @@ -721,6 +717,7 @@ class CartesiaHttpTTSService(TTSService): model: str = "sonic-3", base_url: str = "https://api.cartesia.ai", cartesia_version: str = "2024-11-13", + aiohttp_session: Optional[aiohttp.ClientSession] = None, sample_rate: Optional[int] = None, encoding: str = "pcm_s16le", container: str = "raw", @@ -735,6 +732,8 @@ class CartesiaHttpTTSService(TTSService): model: TTS model to use (e.g., "sonic-3"). base_url: Base URL for Cartesia HTTP API. cartesia_version: API version string for Cartesia service. + aiohttp_session: Optional aiohttp ClientSession for HTTP requests. + If not provided, a session will be created and managed internally. sample_rate: Audio sample rate. If None, uses default. encoding: Audio encoding format. container: Audio container format. @@ -766,10 +765,8 @@ class CartesiaHttpTTSService(TTSService): self._base_url = base_url self._cartesia_version = cartesia_version - self._client = AsyncCartesia( - api_key=api_key, - base_url=base_url, - ) + self._session: aiohttp.ClientSession | None = aiohttp_session + self._owns_session = aiohttp_session is None def can_generate_metrics(self) -> bool: """Check if this service can generate processing metrics. @@ -798,6 +795,14 @@ class CartesiaHttpTTSService(TTSService): """ await super().start(frame) self._settings.output_sample_rate = self.sample_rate + if self._owns_session: + self._session = aiohttp.ClientSession() + + async def _close_session(self): + """Close the HTTP session if we own it.""" + if self._owns_session and self._session: + await self._session.close() + self._session = None async def stop(self, frame: EndFrame): """Stop the Cartesia HTTP TTS service. @@ -806,7 +811,7 @@ class CartesiaHttpTTSService(TTSService): frame: The end frame. """ await super().stop(frame) - await self._client.close() + await self._close_session() async def cancel(self, frame: CancelFrame): """Cancel the Cartesia HTTP TTS service. @@ -815,7 +820,7 @@ class CartesiaHttpTTSService(TTSService): frame: The cancel frame. """ await super().cancel(frame) - await self._client.close() + await self._close_session() @traced_tts async def run_tts(self, text: str, context_id: str) -> AsyncGenerator[Frame, None]: @@ -874,8 +879,6 @@ class CartesiaHttpTTSService(TTSService): yield TTSStartedFrame(context_id=context_id) - session = await self._client._get_session() - headers = { "Cartesia-Version": self._cartesia_version, "X-API-Key": self._api_key, @@ -884,7 +887,7 @@ class CartesiaHttpTTSService(TTSService): url = f"{self._base_url}/tts/bytes" - async with session.post(url, json=payload, headers=headers) as response: + async with self._session.post(url, json=payload, headers=headers) as response: if response.status != 200: error_text = await response.text() yield ErrorFrame(error=f"Cartesia API error: {error_text}") diff --git a/src/pipecat/services/fal/image.py b/src/pipecat/services/fal/image.py index c16d31b43..3de48a984 100644 --- a/src/pipecat/services/fal/image.py +++ b/src/pipecat/services/fal/image.py @@ -25,13 +25,6 @@ from pipecat.frames.frames import ErrorFrame, Frame, URLImageRawFrame from pipecat.services.image_service import ImageGenService from pipecat.services.settings import ImageGenSettings -try: - import fal_client -except ModuleNotFoundError as e: - logger.error(f"Exception: {e}") - logger.error("In order to use Fal, you need to `pip install pipecat-ai[fal]`.") - raise Exception(f"Missing module: {e}") - @dataclass class FalImageGenSettings(ImageGenSettings): @@ -91,6 +84,7 @@ class FalImageGenService(ImageGenService): super().__init__(settings=FalImageGenSettings(model=model), **kwargs) self._params = params self._aiohttp_session = aiohttp_session + self._api_key = key or os.getenv("FAL_KEY", "") if key: os.environ["FAL_KEY"] = key @@ -112,10 +106,22 @@ class FalImageGenService(ImageGenService): logger.debug(f"Generating image from prompt: {prompt}") - response = await fal_client.run_async( - self._settings.model, - arguments={"prompt": prompt, **self._params.model_dump(exclude_none=True)}, - ) + headers = { + "Authorization": f"Key {self._api_key}", + "Content-Type": "application/json", + } + payload = {"prompt": prompt, **self._params.model_dump(exclude_none=True)} + + async with self._aiohttp_session.post( + f"https://fal.run/{self._settings.model}", + json=payload, + headers=headers, + ) as resp: + if resp.status != 200: + error_text = await resp.text() + yield ErrorFrame(error=f"Fal API error ({resp.status}): {error_text}") + return + response = await resp.json() image_url = response["images"][0]["url"] if response else None diff --git a/src/pipecat/services/fal/stt.py b/src/pipecat/services/fal/stt.py index bf70c1c2a..8a82904d7 100644 --- a/src/pipecat/services/fal/stt.py +++ b/src/pipecat/services/fal/stt.py @@ -10,10 +10,12 @@ This module provides integration with Fal's Wizper API for speech-to-text transcription using segmented audio processing. """ +import base64 import os from dataclasses import dataclass, field -from typing import Any, AsyncGenerator, Optional +from typing import AsyncGenerator, Optional +import aiohttp from loguru import logger from pydantic import BaseModel @@ -25,15 +27,6 @@ from pipecat.transcriptions.language import Language, resolve_language from pipecat.utils.time import time_now_iso8601 from pipecat.utils.tracing.service_decorators import traced_stt -try: - import fal_client -except ModuleNotFoundError as e: - logger.error(f"Exception: {e}") - logger.error( - "In order to use Fal, you need to `pip install pipecat-ai[fal]`. Also, set `FAL_KEY` environment variable." - ) - raise Exception(f"Missing module: {e}") - def language_to_fal_language(language: Language) -> Optional[str]: """Convert a Language enum to Fal's Wizper language code. @@ -192,6 +185,7 @@ class FalSTTService(SegmentedSTTService): self, *, api_key: Optional[str] = None, + aiohttp_session: Optional[aiohttp.ClientSession] = None, sample_rate: Optional[int] = None, params: Optional[InputParams] = None, ttfs_p99_latency: Optional[float] = FAL_TTFS_P99, @@ -201,6 +195,8 @@ class FalSTTService(SegmentedSTTService): Args: api_key: Fal API key. If not provided, will check FAL_KEY environment variable. + aiohttp_session: Optional aiohttp ClientSession for HTTP requests. + If not provided, a session will be created and managed internally. sample_rate: Audio sample rate in Hz. If not provided, uses the pipeline's rate. params: Configuration parameters for the Wizper API. ttfs_p99_latency: P99 latency from speech end to final transcript in seconds. @@ -224,14 +220,14 @@ class FalSTTService(SegmentedSTTService): **kwargs, ) - if api_key: - os.environ["FAL_KEY"] = api_key - elif "FAL_KEY" not in os.environ: + self._api_key = api_key or os.getenv("FAL_KEY", "") + if not self._api_key: raise ValueError( "FAL_KEY must be provided either through api_key parameter or environment variable" ) - self._fal_client = fal_client.AsyncClient(key=api_key or os.getenv("FAL_KEY")) + self._session: aiohttp.ClientSession | None = aiohttp_session + self._owns_session = aiohttp_session is None def can_generate_metrics(self) -> bool: """Check if the service can generate processing metrics. @@ -275,12 +271,26 @@ class FalSTTService(SegmentedSTTService): try: await self.start_processing_metrics() - # Send to Fal directly (audio is already in WAV format from base class) - data_uri = fal_client.encode(audio, "audio/x-wav") - response = await self._fal_client.run( - "fal-ai/wizper", - arguments={"audio_url": data_uri, **self._settings.given_fields()}, - ) + if not self._session: + self._session = aiohttp.ClientSession() + + data_uri = f"data:audio/x-wav;base64,{base64.b64encode(audio).decode()}" + payload = {"audio_url": data_uri, **self._settings.given_fields()} + headers = { + "Authorization": f"Key {self._api_key}", + "Content-Type": "application/json", + } + + async with self._session.post( + "https://fal.run/fal-ai/wizper", + json=payload, + headers=headers, + ) as resp: + if resp.status != 200: + error_text = await resp.text() + yield ErrorFrame(error=f"Fal API error ({resp.status}): {error_text}") + return + response = await resp.json() if response and "text" in response: text = response["text"].strip() diff --git a/uv.lock b/uv.lock index db8f68ade..46a8a9a50 100644 --- a/uv.lock +++ b/uv.lock @@ -490,30 +490,30 @@ wheels = [ [[package]] name = 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