Merge branch 'main' into main
This commit is contained in:
Daniel Ince
46
CHANGELOG.md
46
CHANGELOG.md
@@ -13,15 +13,61 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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|||||||
|
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||||||
- Added `speech_model` parameter to `AssemblyAIConnectionParams` to access the multilingual model.
|
- Added `speech_model` parameter to `AssemblyAIConnectionParams` to access the multilingual model.
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||||||
|
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||||||
|
- Added support for updating `OpenAITTSService` settings (`instructions` and
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||||||
|
`speed`) at runtime via `TTSUpdateSettingsFrame`.
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||||||
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- Added `--whatsapp` flag to runner to better surface WhatsApp transport logs.
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||||||
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||||||
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- Added `on_connected` and `on_disconnected` events to TTS and STT
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|
websocket-based services.
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|
|
||||||
|
- Added an `aggregate_sentences` arg in `ElevenLabsHttpTTSService`, where the
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|
default value is True.
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||||||
|
|
||||||
|
- Added a `room_properties` arg to the Daily runner's `configure()` method,
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|
allowing `DailyRoomProperties` to be provided.
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|
|
||||||
- The runner `--folder` argument now supports downloading files from
|
- The runner `--folder` argument now supports downloading files from
|
||||||
subdirectories.
|
subdirectories.
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|
|
||||||
|
### Changed
|
||||||
|
|
||||||
|
- `CartesiaSTTService` now inherits from `WebsocketSTTService`.
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||||||
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||||||
|
- Package upgrades:
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|
- `openai` upgraded to support up to 2.x.x.
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|
- `openpipe` upgraded to support up to 5.x.x.
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||||||
|
|
||||||
### Fixed
|
### Fixed
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||||||
|
|
||||||
|
- Fixed multiple pipeline task cancellation issues. `asyncio.CancelledError` is
|
||||||
|
now handled properly in `PipelineTask` making it possible to cancel an asyncio
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||||||
|
task that it's executing a `PipelineRunner` cleanly. Also,
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|
`PipelineTask.cancel()` does not block anymore waiting for the `CancelFrame`
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||||||
|
to reach the end of the pipeline (going back to the behavior in < 0.0.83).
|
||||||
|
|
||||||
|
- Fixed an issue in `ElevenLabsTTSService` and `ElevenLabsHttpTTSService` where
|
||||||
|
the Flash models would split words, resulting in a space being inserted
|
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|
between words.
|
||||||
|
|
||||||
|
- Fixed an issue where audio filters' `stop()` would not be called when using
|
||||||
|
`CancelFrame`.
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||||||
|
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||||||
|
- Fixed an issue in `ElevenLabsHttpTTSService`, where
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||||||
|
`apply_text_normalization` was incorrectly set as a query parameter. It's now
|
||||||
|
being added as a request parameter.
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||||||
|
|
||||||
- Fixed an issue where `RimeHttpTTSService` and `PiperTTSService` could generate
|
- Fixed an issue where `RimeHttpTTSService` and `PiperTTSService` could generate
|
||||||
incorrectly 16-bit aligned audio frames, potentially leading to internal
|
incorrectly 16-bit aligned audio frames, potentially leading to internal
|
||||||
errors or static audio.
|
errors or static audio.
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||||||
|
|
||||||
|
### Other
|
||||||
|
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||||||
|
- Added foundational example `47-sentry-metrics.py`, demonstrating how to use the
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|
`SentryMetrics` processor.
|
||||||
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|
||||||
|
- Added foundational example `14x-function-calling-openpipe.py`.
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||||||
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|
||||||
## [0.0.90] - 2025-10-10
|
## [0.0.90] - 2025-10-10
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||||||
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|
||||||
### Added
|
### Added
|
||||||
|
|||||||
26
README.md
26
README.md
@@ -63,24 +63,24 @@ Catch new features, interviews, and how-tos on our [Pipecat TV](https://www.yout
|
|||||||
<a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/storytelling-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/storytelling-chatbot/image.png" width="400" /></a>
|
<a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/storytelling-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/storytelling-chatbot/image.png" width="400" /></a>
|
||||||
<br/>
|
<br/>
|
||||||
<a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/translation-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/translation-chatbot/image.png" width="400" /></a>
|
<a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/translation-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/translation-chatbot/image.png" width="400" /></a>
|
||||||
<a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/moondream-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/moondream-chatbot/image.png" width="400" /></a>
|
<a href="https://github.com/pipecat-ai/pipecat/blob/main/examples/foundational/12-describe-video.py"><img src="https://github.com/pipecat-ai/pipecat/blob/main/examples/foundational/assets/moondream.png" width="400" /></a>
|
||||||
</p>
|
</p>
|
||||||
|
|
||||||
## 🧩 Available services
|
## 🧩 Available services
|
||||||
|
|
||||||
| Category | Services |
|
| 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), [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), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Ultravox](https://docs.pipecat.ai/server/services/stt/ultravox), [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), [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), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Ultravox](https://docs.pipecat.ai/server/services/stt/ultravox), [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), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [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) [Together AI](https://docs.pipecat.ai/server/services/llm/together) |
|
| 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), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [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) [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), [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), [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), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) |
|
| 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), [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), [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), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [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), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai) |
|
| 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), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai) |
|
||||||
| Transport | [Daily (WebRTC)](https://docs.pipecat.ai/server/services/transport/daily), [FastAPI Websocket](https://docs.pipecat.ai/server/services/transport/fastapi-websocket), [SmallWebRTCTransport](https://docs.pipecat.ai/server/services/transport/small-webrtc), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), Local |
|
| Transport | [Daily (WebRTC)](https://docs.pipecat.ai/server/services/transport/daily), [FastAPI Websocket](https://docs.pipecat.ai/server/services/transport/fastapi-websocket), [SmallWebRTCTransport](https://docs.pipecat.ai/server/services/transport/small-webrtc), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), Local |
|
||||||
| Serializers | [Plivo](https://docs.pipecat.ai/server/utilities/serializers/plivo), [Twilio](https://docs.pipecat.ai/server/utilities/serializers/twilio), [Telnyx](https://docs.pipecat.ai/server/utilities/serializers/telnyx) |
|
| Serializers | [Plivo](https://docs.pipecat.ai/server/utilities/serializers/plivo), [Twilio](https://docs.pipecat.ai/server/utilities/serializers/twilio), [Telnyx](https://docs.pipecat.ai/server/utilities/serializers/telnyx) |
|
||||||
| Video | [HeyGen](https://docs.pipecat.ai/server/services/video/heygen), [Tavus](https://docs.pipecat.ai/server/services/video/tavus), [Simli](https://docs.pipecat.ai/server/services/video/simli) |
|
| Video | [HeyGen](https://docs.pipecat.ai/server/services/video/heygen), [Tavus](https://docs.pipecat.ai/server/services/video/tavus), [Simli](https://docs.pipecat.ai/server/services/video/simli) |
|
||||||
| Memory | [mem0](https://docs.pipecat.ai/server/services/memory/mem0) |
|
| Memory | [mem0](https://docs.pipecat.ai/server/services/memory/mem0) |
|
||||||
| Vision & Image | [fal](https://docs.pipecat.ai/server/services/image-generation/fal), [Google Imagen](https://docs.pipecat.ai/server/services/image-generation/fal), [Moondream](https://docs.pipecat.ai/server/services/vision/moondream) |
|
| Vision & Image | [fal](https://docs.pipecat.ai/server/services/image-generation/fal), [Google Imagen](https://docs.pipecat.ai/server/services/image-generation/fal), [Moondream](https://docs.pipecat.ai/server/services/vision/moondream) |
|
||||||
| Audio Processing | [Silero VAD](https://docs.pipecat.ai/server/utilities/audio/silero-vad-analyzer), [Krisp](https://docs.pipecat.ai/server/utilities/audio/krisp-filter), [Koala](https://docs.pipecat.ai/server/utilities/audio/koala-filter), [ai-coustics](https://docs.pipecat.ai/server/utilities/audio/aic-filter) |
|
| Audio Processing | [Silero VAD](https://docs.pipecat.ai/server/utilities/audio/silero-vad-analyzer), [Krisp](https://docs.pipecat.ai/server/utilities/audio/krisp-filter), [Koala](https://docs.pipecat.ai/server/utilities/audio/koala-filter), [ai-coustics](https://docs.pipecat.ai/server/utilities/audio/aic-filter) |
|
||||||
| Analytics & Metrics | [OpenTelemetry](https://docs.pipecat.ai/server/utilities/opentelemetry), [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry) |
|
| Analytics & Metrics | [OpenTelemetry](https://docs.pipecat.ai/server/utilities/opentelemetry), [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry) |
|
||||||
|
|
||||||
📚 [View full services documentation →](https://docs.pipecat.ai/server/services/supported-services)
|
📚 [View full services documentation →](https://docs.pipecat.ai/server/services/supported-services)
|
||||||
|
|
||||||
|
|||||||
@@ -21,8 +21,8 @@ from pipecat.processors.aggregators.llm_context import LLMContext
|
|||||||
from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
|
from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
|
||||||
from pipecat.runner.types import RunnerArguments
|
from pipecat.runner.types import RunnerArguments
|
||||||
from pipecat.runner.utils import create_transport
|
from pipecat.runner.utils import create_transport
|
||||||
|
from pipecat.services.cartesia.stt import CartesiaSTTService
|
||||||
from pipecat.services.cartesia.tts import CartesiaTTSService
|
from pipecat.services.cartesia.tts import CartesiaTTSService
|
||||||
from pipecat.services.deepgram.stt import DeepgramSTTService
|
|
||||||
from pipecat.services.openai.llm import OpenAILLMService
|
from pipecat.services.openai.llm import OpenAILLMService
|
||||||
from pipecat.transports.base_transport import BaseTransport, TransportParams
|
from pipecat.transports.base_transport import BaseTransport, TransportParams
|
||||||
from pipecat.transports.daily.transport import DailyParams
|
from pipecat.transports.daily.transport import DailyParams
|
||||||
@@ -58,7 +58,7 @@ transport_params = {
|
|||||||
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||||
logger.info(f"Starting bot")
|
logger.info(f"Starting bot")
|
||||||
|
|
||||||
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
|
stt = CartesiaSTTService(api_key=os.getenv("CARTESIA_API_KEY"))
|
||||||
|
|
||||||
tts = CartesiaTTSService(
|
tts = CartesiaTTSService(
|
||||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||||
|
|||||||
@@ -48,10 +48,7 @@ transport_params = {
|
|||||||
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||||
logger.info(f"Starting bot")
|
logger.info(f"Starting bot")
|
||||||
|
|
||||||
stt = CartesiaSTTService(
|
stt = CartesiaSTTService(api_key=os.getenv("CARTESIA_API_KEY"))
|
||||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
|
||||||
base_url=os.getenv("CARTESIA_BASE_URL"),
|
|
||||||
)
|
|
||||||
|
|
||||||
tl = TranscriptionLogger()
|
tl = TranscriptionLogger()
|
||||||
|
|
||||||
|
|||||||
182
examples/foundational/14x-function-calling-openpipe.py
Normal file
182
examples/foundational/14x-function-calling-openpipe.py
Normal file
@@ -0,0 +1,182 @@
|
|||||||
|
#
|
||||||
|
# Copyright (c) 2024–2025, Daily
|
||||||
|
#
|
||||||
|
# SPDX-License-Identifier: BSD 2-Clause License
|
||||||
|
#
|
||||||
|
|
||||||
|
import os
|
||||||
|
import time
|
||||||
|
|
||||||
|
from dotenv import load_dotenv
|
||||||
|
from loguru import logger
|
||||||
|
|
||||||
|
from pipecat.adapters.schemas.function_schema import FunctionSchema
|
||||||
|
from pipecat.adapters.schemas.tools_schema import ToolsSchema
|
||||||
|
from pipecat.audio.turn.smart_turn.base_smart_turn import SmartTurnParams
|
||||||
|
from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
|
||||||
|
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||||
|
from pipecat.audio.vad.vad_analyzer import VADParams
|
||||||
|
from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
|
||||||
|
from pipecat.pipeline.pipeline import Pipeline
|
||||||
|
from pipecat.pipeline.runner import PipelineRunner
|
||||||
|
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||||
|
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||||
|
from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
|
||||||
|
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.openpipe.llm import OpenPipeLLMService
|
||||||
|
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)
|
||||||
|
|
||||||
|
|
||||||
|
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||||
|
await params.result_callback({"conditions": "nice", "temperature": "75"})
|
||||||
|
|
||||||
|
|
||||||
|
async def fetch_restaurant_recommendation(params: FunctionCallParams):
|
||||||
|
await params.result_callback({"name": "The Golden Dragon"})
|
||||||
|
|
||||||
|
|
||||||
|
# We store functions so objects (e.g. SileroVADAnalyzer) don't get
|
||||||
|
# instantiated. The function will be called when the desired transport gets
|
||||||
|
# selected.
|
||||||
|
transport_params = {
|
||||||
|
"daily": lambda: DailyParams(
|
||||||
|
audio_in_enabled=True,
|
||||||
|
audio_out_enabled=True,
|
||||||
|
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
|
||||||
|
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
|
||||||
|
),
|
||||||
|
"twilio": lambda: FastAPIWebsocketParams(
|
||||||
|
audio_in_enabled=True,
|
||||||
|
audio_out_enabled=True,
|
||||||
|
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
|
||||||
|
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
|
||||||
|
),
|
||||||
|
"webrtc": lambda: TransportParams(
|
||||||
|
audio_in_enabled=True,
|
||||||
|
audio_out_enabled=True,
|
||||||
|
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
|
||||||
|
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
|
||||||
|
),
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||||
|
logger.info(f"Starting bot")
|
||||||
|
|
||||||
|
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
|
||||||
|
|
||||||
|
tts = CartesiaTTSService(
|
||||||
|
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||||
|
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
|
||||||
|
)
|
||||||
|
|
||||||
|
timestamp = int(time.time())
|
||||||
|
llm = OpenPipeLLMService(
|
||||||
|
api_key=os.getenv("OPENAI_API_KEY"),
|
||||||
|
openpipe_api_key=os.getenv("OPENPIPE_API_KEY"),
|
||||||
|
tags={"conversation_id": f"pipecat-{timestamp}"},
|
||||||
|
)
|
||||||
|
|
||||||
|
# You can also register a function_name of None to get all functions
|
||||||
|
# sent to the same callback with an additional function_name parameter.
|
||||||
|
llm.register_function("get_current_weather", fetch_weather_from_api)
|
||||||
|
llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
|
||||||
|
|
||||||
|
@llm.event_handler("on_function_calls_started")
|
||||||
|
async def on_function_calls_started(service, function_calls):
|
||||||
|
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
|
||||||
|
|
||||||
|
weather_function = FunctionSchema(
|
||||||
|
name="get_current_weather",
|
||||||
|
description="Get the current weather",
|
||||||
|
properties={
|
||||||
|
"location": {
|
||||||
|
"type": "string",
|
||||||
|
"description": "The city and state, e.g. San Francisco, CA",
|
||||||
|
},
|
||||||
|
"format": {
|
||||||
|
"type": "string",
|
||||||
|
"enum": ["celsius", "fahrenheit"],
|
||||||
|
"description": "The temperature unit to use. Infer this from the user's location.",
|
||||||
|
},
|
||||||
|
},
|
||||||
|
required=["location", "format"],
|
||||||
|
)
|
||||||
|
restaurant_function = FunctionSchema(
|
||||||
|
name="get_restaurant_recommendation",
|
||||||
|
description="Get a restaurant recommendation",
|
||||||
|
properties={
|
||||||
|
"location": {
|
||||||
|
"type": "string",
|
||||||
|
"description": "The city and state, e.g. San Francisco, CA",
|
||||||
|
},
|
||||||
|
},
|
||||||
|
required=["location"],
|
||||||
|
)
|
||||||
|
tools = ToolsSchema(standard_tools=[weather_function, restaurant_function])
|
||||||
|
|
||||||
|
messages = [
|
||||||
|
{
|
||||||
|
"role": "system",
|
||||||
|
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||||
|
},
|
||||||
|
]
|
||||||
|
|
||||||
|
context = LLMContext(messages, tools)
|
||||||
|
context_aggregator = LLMContextAggregatorPair(context)
|
||||||
|
|
||||||
|
pipeline = Pipeline(
|
||||||
|
[
|
||||||
|
transport.input(),
|
||||||
|
stt,
|
||||||
|
context_aggregator.user(),
|
||||||
|
llm,
|
||||||
|
tts,
|
||||||
|
transport.output(),
|
||||||
|
context_aggregator.assistant(),
|
||||||
|
]
|
||||||
|
)
|
||||||
|
|
||||||
|
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.
|
||||||
|
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()
|
||||||
|
|
||||||
|
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()
|
||||||
142
examples/foundational/47-sentry-metrics.py
Normal file
142
examples/foundational/47-sentry-metrics.py
Normal file
@@ -0,0 +1,142 @@
|
|||||||
|
#
|
||||||
|
# Copyright (c) 2024–2025, Daily
|
||||||
|
#
|
||||||
|
# SPDX-License-Identifier: BSD 2-Clause License
|
||||||
|
#
|
||||||
|
|
||||||
|
import os
|
||||||
|
|
||||||
|
import sentry_sdk
|
||||||
|
from dotenv import load_dotenv
|
||||||
|
from loguru import logger
|
||||||
|
|
||||||
|
from pipecat.audio.turn.smart_turn.base_smart_turn import SmartTurnParams
|
||||||
|
from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
|
||||||
|
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||||
|
from pipecat.audio.vad.vad_analyzer import VADParams
|
||||||
|
from pipecat.frames.frames import LLMRunFrame
|
||||||
|
from pipecat.pipeline.pipeline import Pipeline
|
||||||
|
from pipecat.pipeline.runner import PipelineRunner
|
||||||
|
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||||
|
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||||
|
from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
|
||||||
|
from pipecat.processors.metrics.sentry import SentryMetrics
|
||||||
|
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.openai.llm import OpenAILLMService
|
||||||
|
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)
|
||||||
|
|
||||||
|
# We store functions so objects (e.g. SileroVADAnalyzer) don't get
|
||||||
|
# instantiated. The function will be called when the desired transport gets
|
||||||
|
# selected.
|
||||||
|
transport_params = {
|
||||||
|
"daily": lambda: DailyParams(
|
||||||
|
audio_in_enabled=True,
|
||||||
|
audio_out_enabled=True,
|
||||||
|
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
|
||||||
|
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
|
||||||
|
),
|
||||||
|
"twilio": lambda: FastAPIWebsocketParams(
|
||||||
|
audio_in_enabled=True,
|
||||||
|
audio_out_enabled=True,
|
||||||
|
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
|
||||||
|
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
|
||||||
|
),
|
||||||
|
"webrtc": lambda: TransportParams(
|
||||||
|
audio_in_enabled=True,
|
||||||
|
audio_out_enabled=True,
|
||||||
|
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
|
||||||
|
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
|
||||||
|
),
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||||
|
logger.info(f"Starting bot")
|
||||||
|
|
||||||
|
# Initialize Sentry
|
||||||
|
sentry_sdk.init(
|
||||||
|
dsn=os.getenv("SENTRY_DSN"),
|
||||||
|
traces_sample_rate=1.0,
|
||||||
|
)
|
||||||
|
|
||||||
|
stt = DeepgramSTTService(
|
||||||
|
api_key=os.getenv("DEEPGRAM_API_KEY"),
|
||||||
|
metrics=SentryMetrics(),
|
||||||
|
)
|
||||||
|
|
||||||
|
tts = CartesiaTTSService(
|
||||||
|
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||||
|
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
|
||||||
|
metrics=SentryMetrics(),
|
||||||
|
)
|
||||||
|
|
||||||
|
llm = OpenAILLMService(
|
||||||
|
api_key=os.getenv("OPENAI_API_KEY"),
|
||||||
|
metrics=SentryMetrics(),
|
||||||
|
)
|
||||||
|
|
||||||
|
messages = [
|
||||||
|
{
|
||||||
|
"role": "system",
|
||||||
|
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||||
|
},
|
||||||
|
]
|
||||||
|
|
||||||
|
context = LLMContext(messages)
|
||||||
|
context_aggregator = LLMContextAggregatorPair(context)
|
||||||
|
|
||||||
|
pipeline = Pipeline(
|
||||||
|
[
|
||||||
|
transport.input(), # Transport user input
|
||||||
|
stt,
|
||||||
|
context_aggregator.user(), # User responses
|
||||||
|
llm, # LLM
|
||||||
|
tts, # TTS
|
||||||
|
transport.output(), # Transport bot output
|
||||||
|
context_aggregator.assistant(), # Assistant spoken responses
|
||||||
|
]
|
||||||
|
)
|
||||||
|
|
||||||
|
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.
|
||||||
|
messages.append({"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()
|
||||||
|
|
||||||
|
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()
|
||||||
BIN
examples/foundational/assets/moondream.png
Normal file
BIN
examples/foundational/assets/moondream.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.1 MiB |
@@ -34,7 +34,7 @@ dependencies = [
|
|||||||
"pyloudnorm~=0.1.1",
|
"pyloudnorm~=0.1.1",
|
||||||
"resampy~=0.4.3",
|
"resampy~=0.4.3",
|
||||||
"soxr~=0.5.0",
|
"soxr~=0.5.0",
|
||||||
"openai>=1.74.0,<=1.99.1",
|
"openai>=1.74.0,<3",
|
||||||
# Pinning numba to resolve package dependencies
|
# Pinning numba to resolve package dependencies
|
||||||
"numba==0.61.2",
|
"numba==0.61.2",
|
||||||
"wait_for2>=0.4.1; python_version<'3.12'",
|
"wait_for2>=0.4.1; python_version<'3.12'",
|
||||||
@@ -84,7 +84,7 @@ nim = []
|
|||||||
neuphonic = [ "pipecat-ai[websockets-base]" ]
|
neuphonic = [ "pipecat-ai[websockets-base]" ]
|
||||||
noisereduce = [ "noisereduce~=3.0.3" ]
|
noisereduce = [ "noisereduce~=3.0.3" ]
|
||||||
openai = [ "pipecat-ai[websockets-base]" ]
|
openai = [ "pipecat-ai[websockets-base]" ]
|
||||||
openpipe = [ "openpipe~=4.50.0" ]
|
openpipe = [ "openpipe>=4.50.0,<6" ]
|
||||||
openrouter = []
|
openrouter = []
|
||||||
perplexity = []
|
perplexity = []
|
||||||
playht = [ "pipecat-ai[websockets-base]" ]
|
playht = [ "pipecat-ai[websockets-base]" ]
|
||||||
|
|||||||
@@ -136,6 +136,7 @@ TESTS_14 = [
|
|||||||
("14r-function-calling-aws.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
("14r-function-calling-aws.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||||
("14v-function-calling-openai.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
("14v-function-calling-openai.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||||
("14w-function-calling-mistral.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
("14w-function-calling-mistral.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||||
|
("14x-function-calling-openpipe.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||||
# Currently not working.
|
# Currently not working.
|
||||||
# ("14c-function-calling-together.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
# ("14c-function-calling-together.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||||
# ("14l-function-calling-deepseek.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
# ("14l-function-calling-deepseek.py", PROMPT_WEATHER, EVAL_WEATHER, BOT_SPEAKS_FIRST),
|
||||||
|
|||||||
@@ -70,11 +70,15 @@ class PipelineRunner(BaseObject):
|
|||||||
"""
|
"""
|
||||||
logger.debug(f"Runner {self} started running {task}")
|
logger.debug(f"Runner {self} started running {task}")
|
||||||
self._tasks[task.name] = task
|
self._tasks[task.name] = task
|
||||||
params = PipelineTaskParams(loop=self._loop)
|
|
||||||
|
# PipelineTask handles asyncio.CancelledError to shutdown the pipeline
|
||||||
|
# properly and re-raises it in case there's more cleanup to do.
|
||||||
try:
|
try:
|
||||||
|
params = PipelineTaskParams(loop=self._loop)
|
||||||
await task.run(params)
|
await task.run(params)
|
||||||
except asyncio.CancelledError:
|
except asyncio.CancelledError:
|
||||||
await self._cancel()
|
pass
|
||||||
|
|
||||||
del self._tasks[task.name]
|
del self._tasks[task.name]
|
||||||
|
|
||||||
# Cleanup base object.
|
# Cleanup base object.
|
||||||
|
|||||||
@@ -269,6 +269,9 @@ class PipelineTask(BasePipelineTask):
|
|||||||
# StopFrame) has been received at the end of the pipeline.
|
# StopFrame) has been received at the end of the pipeline.
|
||||||
self._pipeline_end_event = asyncio.Event()
|
self._pipeline_end_event = asyncio.Event()
|
||||||
|
|
||||||
|
# This event is set when the pipeline truly finishes.
|
||||||
|
self._pipeline_finished_event = asyncio.Event()
|
||||||
|
|
||||||
# This is the final pipeline. It is composed of a source processor,
|
# This is the final pipeline. It is composed of a source processor,
|
||||||
# followed by the user pipeline, and ending with a sink processor. The
|
# followed by the user pipeline, and ending with a sink processor. The
|
||||||
# source allows us to receive and react to upstream frames, and the sink
|
# source allows us to receive and react to upstream frames, and the sink
|
||||||
@@ -401,11 +404,7 @@ class PipelineTask(BasePipelineTask):
|
|||||||
await self.queue_frame(EndFrame())
|
await self.queue_frame(EndFrame())
|
||||||
|
|
||||||
async def cancel(self):
|
async def cancel(self):
|
||||||
"""Immediately stop the running pipeline.
|
"""Request the running pipeline to cancel."""
|
||||||
|
|
||||||
Cancels all running tasks and stops frame processing without
|
|
||||||
waiting for completion.
|
|
||||||
"""
|
|
||||||
if not self._finished:
|
if not self._finished:
|
||||||
await self._cancel()
|
await self._cancel()
|
||||||
|
|
||||||
@@ -417,51 +416,38 @@ class PipelineTask(BasePipelineTask):
|
|||||||
"""
|
"""
|
||||||
if self.has_finished():
|
if self.has_finished():
|
||||||
return
|
return
|
||||||
cleanup_pipeline = True
|
|
||||||
|
# Setup processors.
|
||||||
|
await self._setup(params)
|
||||||
|
|
||||||
|
# Create all main tasks and wait for the main push task. This is the
|
||||||
|
# task that pushes frames to the very beginning of our pipeline (i.e. to
|
||||||
|
# our controlled source processor).
|
||||||
|
await self._create_tasks()
|
||||||
|
|
||||||
try:
|
try:
|
||||||
# Setup processors.
|
# Wait for pipeline to finish.
|
||||||
await self._setup(params)
|
await self._wait_for_pipeline_finished()
|
||||||
|
|
||||||
# Create all main tasks and wait of the main push task. This is the
|
|
||||||
# task that pushes frames to the very beginning of our pipeline (our
|
|
||||||
# controlled source processor).
|
|
||||||
push_task = await self._create_tasks()
|
|
||||||
await push_task
|
|
||||||
|
|
||||||
# We have already cleaned up the pipeline inside the task.
|
|
||||||
cleanup_pipeline = False
|
|
||||||
|
|
||||||
# Pipeline has finished nicely.
|
|
||||||
self._finished = True
|
|
||||||
except asyncio.CancelledError:
|
except asyncio.CancelledError:
|
||||||
# Raise exception back to the pipeline runner so it can cancel this
|
logger.debug(f"Pipeline task {self} got cancelled from outside...")
|
||||||
# task properly.
|
# We have been cancelled from outside, let's just cancel everything.
|
||||||
|
await self._cancel()
|
||||||
|
# Wait again for pipeline to finish. This time we have really
|
||||||
|
# cancelled, so it should really finish.
|
||||||
|
await self._wait_for_pipeline_finished()
|
||||||
|
# Re-raise in case there's more cleanup to do.
|
||||||
raise
|
raise
|
||||||
finally:
|
finally:
|
||||||
# We can reach this point for different reasons:
|
# We can reach this point for different reasons:
|
||||||
#
|
#
|
||||||
# 1. The task has finished properly (e.g. `EndFrame`).
|
# 1. The pipeline task has finished (try case).
|
||||||
# 2. By calling `PipelineTask.cancel()`.
|
# 2. By an asyncio task cancellation (except case).
|
||||||
# 3. By asyncio task cancellation.
|
logger.debug(f"Pipeline task {self} is finishing...")
|
||||||
#
|
await self._cancel_tasks()
|
||||||
# Case (1) will execute the code below without issues because
|
if self._check_dangling_tasks:
|
||||||
# `self._finished` is true.
|
self._print_dangling_tasks()
|
||||||
#
|
self._finished = True
|
||||||
# Case (2) will execute the code below without issues because
|
logger.debug(f"Pipeline task {self} has finished")
|
||||||
# `self._cancelled` is true.
|
|
||||||
#
|
|
||||||
# Case (3) will raise the exception above (because we are cancelling
|
|
||||||
# the asyncio task). This will be then captured by the
|
|
||||||
# `PipelineRunner` which will call `PipelineTask.cancel()` and
|
|
||||||
# therefore becoming case (2).
|
|
||||||
if self._finished or self._cancelled:
|
|
||||||
logger.debug(f"Pipeline task {self} is finishing cleanup...")
|
|
||||||
await self._cancel_tasks()
|
|
||||||
await self._cleanup(cleanup_pipeline)
|
|
||||||
if self._check_dangling_tasks:
|
|
||||||
self._print_dangling_tasks()
|
|
||||||
self._finished = True
|
|
||||||
logger.debug(f"Pipeline task {self} has finished")
|
|
||||||
|
|
||||||
async def queue_frame(self, frame: Frame):
|
async def queue_frame(self, frame: Frame):
|
||||||
"""Queue a single frame to be pushed down the pipeline.
|
"""Queue a single frame to be pushed down the pipeline.
|
||||||
@@ -489,19 +475,7 @@ class PipelineTask(BasePipelineTask):
|
|||||||
if not self._cancelled:
|
if not self._cancelled:
|
||||||
logger.debug(f"Cancelling pipeline task {self}")
|
logger.debug(f"Cancelling pipeline task {self}")
|
||||||
self._cancelled = True
|
self._cancelled = True
|
||||||
cancel_frame = CancelFrame()
|
await self.queue_frame(CancelFrame())
|
||||||
# Make sure everything is cleaned up downstream. This is sent
|
|
||||||
# out-of-band from the main streaming task which is what we want since
|
|
||||||
# we want to cancel right away.
|
|
||||||
await self._pipeline.queue_frame(cancel_frame)
|
|
||||||
# Wait for CancelFrame to make it through the pipeline.
|
|
||||||
await self._wait_for_pipeline_end(cancel_frame)
|
|
||||||
# Only cancel the push task, we don't want to be able to process any
|
|
||||||
# other frame after cancel. Everything else will be cancelled in
|
|
||||||
# run().
|
|
||||||
if self._process_push_task:
|
|
||||||
await self._task_manager.cancel_task(self._process_push_task)
|
|
||||||
self._process_push_task = None
|
|
||||||
|
|
||||||
async def _create_tasks(self):
|
async def _create_tasks(self):
|
||||||
"""Create and start all pipeline processing tasks."""
|
"""Create and start all pipeline processing tasks."""
|
||||||
@@ -603,6 +577,17 @@ class PipelineTask(BasePipelineTask):
|
|||||||
|
|
||||||
self._pipeline_end_event.clear()
|
self._pipeline_end_event.clear()
|
||||||
|
|
||||||
|
# We are really done.
|
||||||
|
self._pipeline_finished_event.set()
|
||||||
|
|
||||||
|
async def _wait_for_pipeline_finished(self):
|
||||||
|
await self._pipeline_finished_event.wait()
|
||||||
|
self._pipeline_finished_event.clear()
|
||||||
|
# Make sure we wait for the main task to complete.
|
||||||
|
if self._process_push_task:
|
||||||
|
await self._process_push_task
|
||||||
|
self._process_push_task = None
|
||||||
|
|
||||||
async def _setup(self, params: PipelineTaskParams):
|
async def _setup(self, params: PipelineTaskParams):
|
||||||
"""Set up the pipeline task and all processors."""
|
"""Set up the pipeline task and all processors."""
|
||||||
mgr_params = TaskManagerParams(loop=params.loop)
|
mgr_params = TaskManagerParams(loop=params.loop)
|
||||||
|
|||||||
@@ -82,6 +82,7 @@ async def configure(
|
|||||||
sip_enable_video: Optional[bool] = False,
|
sip_enable_video: Optional[bool] = False,
|
||||||
sip_num_endpoints: Optional[int] = 1,
|
sip_num_endpoints: Optional[int] = 1,
|
||||||
sip_codecs: Optional[Dict[str, List[str]]] = None,
|
sip_codecs: Optional[Dict[str, List[str]]] = None,
|
||||||
|
room_properties: Optional[DailyRoomProperties] = None,
|
||||||
) -> DailyRoomConfig:
|
) -> DailyRoomConfig:
|
||||||
"""Configure Daily room URL and token with optional SIP capabilities.
|
"""Configure Daily room URL and token with optional SIP capabilities.
|
||||||
|
|
||||||
@@ -99,6 +100,10 @@ async def configure(
|
|||||||
sip_num_endpoints: Number of allowed SIP endpoints.
|
sip_num_endpoints: Number of allowed SIP endpoints.
|
||||||
sip_codecs: Codecs to support for audio and video. If None, uses Daily defaults.
|
sip_codecs: Codecs to support for audio and video. If None, uses Daily defaults.
|
||||||
Example: {"audio": ["OPUS"], "video": ["H264"]}
|
Example: {"audio": ["OPUS"], "video": ["H264"]}
|
||||||
|
room_properties: Optional DailyRoomProperties to use instead of building from
|
||||||
|
individual parameters. When provided, this overrides room_exp_duration and
|
||||||
|
SIP-related parameters. If not provided, properties are built from the
|
||||||
|
individual parameters as before.
|
||||||
|
|
||||||
Returns:
|
Returns:
|
||||||
DailyRoomConfig: Object with room_url, token, and optional sip_endpoint.
|
DailyRoomConfig: Object with room_url, token, and optional sip_endpoint.
|
||||||
@@ -115,6 +120,13 @@ async def configure(
|
|||||||
# SIP-enabled room
|
# SIP-enabled room
|
||||||
sip_config = await configure(session, sip_caller_phone="+15551234567")
|
sip_config = await configure(session, sip_caller_phone="+15551234567")
|
||||||
print(f"SIP endpoint: {sip_config.sip_endpoint}")
|
print(f"SIP endpoint: {sip_config.sip_endpoint}")
|
||||||
|
|
||||||
|
# Custom room properties with recording enabled
|
||||||
|
custom_props = DailyRoomProperties(
|
||||||
|
enable_recording="cloud",
|
||||||
|
max_participants=2,
|
||||||
|
)
|
||||||
|
config = await configure(session, room_properties=custom_props)
|
||||||
"""
|
"""
|
||||||
# Check for required API key
|
# Check for required API key
|
||||||
api_key = os.getenv("DAILY_API_KEY")
|
api_key = os.getenv("DAILY_API_KEY")
|
||||||
@@ -124,9 +136,32 @@ async def configure(
|
|||||||
"Get your API key from https://dashboard.daily.co/developers"
|
"Get your API key from https://dashboard.daily.co/developers"
|
||||||
)
|
)
|
||||||
|
|
||||||
|
# Warn if both room_properties and individual parameters are provided
|
||||||
|
if room_properties is not None:
|
||||||
|
individual_params_provided = any(
|
||||||
|
[
|
||||||
|
room_exp_duration != 2.0,
|
||||||
|
token_exp_duration != 2.0,
|
||||||
|
sip_caller_phone is not None,
|
||||||
|
sip_enable_video is not False,
|
||||||
|
sip_num_endpoints != 1,
|
||||||
|
sip_codecs is not None,
|
||||||
|
]
|
||||||
|
)
|
||||||
|
if individual_params_provided:
|
||||||
|
logger.warning(
|
||||||
|
"Both room_properties and individual parameters (room_exp_duration, token_exp_duration, "
|
||||||
|
"sip_*) were provided. The room_properties will be used and individual parameters "
|
||||||
|
"will be ignored."
|
||||||
|
)
|
||||||
|
|
||||||
# Determine if SIP mode is enabled
|
# Determine if SIP mode is enabled
|
||||||
sip_enabled = sip_caller_phone is not None
|
sip_enabled = sip_caller_phone is not None
|
||||||
|
|
||||||
|
# If room_properties is provided, check if it has SIP configuration
|
||||||
|
if room_properties and room_properties.sip:
|
||||||
|
sip_enabled = True
|
||||||
|
|
||||||
daily_rest_helper = DailyRESTHelper(
|
daily_rest_helper = DailyRESTHelper(
|
||||||
daily_api_key=api_key,
|
daily_api_key=api_key,
|
||||||
daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
|
daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
|
||||||
@@ -150,27 +185,29 @@ async def configure(
|
|||||||
room_name = f"{room_prefix}-{uuid.uuid4().hex[:8]}"
|
room_name = f"{room_prefix}-{uuid.uuid4().hex[:8]}"
|
||||||
logger.info(f"Creating new Daily room: {room_name}")
|
logger.info(f"Creating new Daily room: {room_name}")
|
||||||
|
|
||||||
# Calculate expiration time
|
# Use provided room_properties or build from parameters
|
||||||
expiration_time = time.time() + (room_exp_duration * 60 * 60)
|
if room_properties is None:
|
||||||
|
# Calculate expiration time
|
||||||
|
expiration_time = time.time() + (room_exp_duration * 60 * 60)
|
||||||
|
|
||||||
# Create room properties
|
# Create room properties
|
||||||
room_properties = DailyRoomProperties(
|
room_properties = DailyRoomProperties(
|
||||||
exp=expiration_time,
|
exp=expiration_time,
|
||||||
eject_at_room_exp=True,
|
eject_at_room_exp=True,
|
||||||
)
|
|
||||||
|
|
||||||
# Add SIP configuration if enabled
|
|
||||||
if sip_enabled:
|
|
||||||
sip_params = DailyRoomSipParams(
|
|
||||||
display_name=sip_caller_phone,
|
|
||||||
video=sip_enable_video,
|
|
||||||
sip_mode="dial-in",
|
|
||||||
num_endpoints=sip_num_endpoints,
|
|
||||||
codecs=sip_codecs,
|
|
||||||
)
|
)
|
||||||
room_properties.sip = sip_params
|
|
||||||
room_properties.enable_dialout = True # Enable outbound calls if needed
|
# Add SIP configuration if enabled
|
||||||
room_properties.start_video_off = not sip_enable_video # Voice-only by default
|
if sip_enabled:
|
||||||
|
sip_params = DailyRoomSipParams(
|
||||||
|
display_name=sip_caller_phone,
|
||||||
|
video=sip_enable_video,
|
||||||
|
sip_mode="dial-in",
|
||||||
|
num_endpoints=sip_num_endpoints,
|
||||||
|
codecs=sip_codecs,
|
||||||
|
)
|
||||||
|
room_properties.sip = sip_params
|
||||||
|
room_properties.enable_dialout = True # Enable outbound calls if needed
|
||||||
|
room_properties.start_video_off = not sip_enable_video # Voice-only by default
|
||||||
|
|
||||||
# Create room parameters
|
# Create room parameters
|
||||||
room_params = DailyRoomParams(name=room_name, properties=room_properties)
|
room_params = DailyRoomParams(name=room_name, properties=room_properties)
|
||||||
|
|||||||
@@ -166,6 +166,7 @@ def _create_server_app(
|
|||||||
host: str = "localhost",
|
host: str = "localhost",
|
||||||
proxy: str,
|
proxy: str,
|
||||||
esp32_mode: bool = False,
|
esp32_mode: bool = False,
|
||||||
|
whatsapp_enabled: bool = False,
|
||||||
folder: Optional[str] = None,
|
folder: Optional[str] = None,
|
||||||
):
|
):
|
||||||
"""Create FastAPI app with transport-specific routes."""
|
"""Create FastAPI app with transport-specific routes."""
|
||||||
@@ -182,7 +183,8 @@ def _create_server_app(
|
|||||||
# Set up transport-specific routes
|
# Set up transport-specific routes
|
||||||
if transport_type == "webrtc":
|
if transport_type == "webrtc":
|
||||||
_setup_webrtc_routes(app, esp32_mode=esp32_mode, host=host, folder=folder)
|
_setup_webrtc_routes(app, esp32_mode=esp32_mode, host=host, folder=folder)
|
||||||
_setup_whatsapp_routes(app)
|
if whatsapp_enabled:
|
||||||
|
_setup_whatsapp_routes(app)
|
||||||
elif transport_type == "daily":
|
elif transport_type == "daily":
|
||||||
_setup_daily_routes(app)
|
_setup_daily_routes(app)
|
||||||
elif transport_type in TELEPHONY_TRANSPORTS:
|
elif transport_type in TELEPHONY_TRANSPORTS:
|
||||||
@@ -289,6 +291,29 @@ def _add_lifespan_to_app(app: FastAPI, new_lifespan):
|
|||||||
|
|
||||||
def _setup_whatsapp_routes(app: FastAPI):
|
def _setup_whatsapp_routes(app: FastAPI):
|
||||||
"""Set up WebRTC-specific routes."""
|
"""Set up WebRTC-specific routes."""
|
||||||
|
WHATSAPP_APP_SECRET = os.getenv("WHATSAPP_APP_SECRET")
|
||||||
|
WHATSAPP_PHONE_NUMBER_ID = os.getenv("WHATSAPP_PHONE_NUMBER_ID")
|
||||||
|
WHATSAPP_TOKEN = os.getenv("WHATSAPP_TOKEN")
|
||||||
|
WHATSAPP_WEBHOOK_VERIFICATION_TOKEN = os.getenv("WHATSAPP_WEBHOOK_VERIFICATION_TOKEN")
|
||||||
|
|
||||||
|
if not all(
|
||||||
|
[
|
||||||
|
WHATSAPP_APP_SECRET,
|
||||||
|
WHATSAPP_PHONE_NUMBER_ID,
|
||||||
|
WHATSAPP_TOKEN,
|
||||||
|
WHATSAPP_WEBHOOK_VERIFICATION_TOKEN,
|
||||||
|
]
|
||||||
|
):
|
||||||
|
logger.error(
|
||||||
|
"""Missing required environment variables for WhatsApp transport:
|
||||||
|
WHATSAPP_APP_SECRET
|
||||||
|
WHATSAPP_PHONE_NUMBER_ID
|
||||||
|
WHATSAPP_TOKEN
|
||||||
|
WHATSAPP_WEBHOOK_VERIFICATION_TOKEN
|
||||||
|
"""
|
||||||
|
)
|
||||||
|
return
|
||||||
|
|
||||||
try:
|
try:
|
||||||
from pipecat_ai_small_webrtc_prebuilt.frontend import SmallWebRTCPrebuiltUI
|
from pipecat_ai_small_webrtc_prebuilt.frontend import SmallWebRTCPrebuiltUI
|
||||||
|
|
||||||
@@ -300,24 +325,7 @@ def _setup_whatsapp_routes(app: FastAPI):
|
|||||||
from pipecat.transports.whatsapp.api import WhatsAppWebhookRequest
|
from pipecat.transports.whatsapp.api import WhatsAppWebhookRequest
|
||||||
from pipecat.transports.whatsapp.client import WhatsAppClient
|
from pipecat.transports.whatsapp.client import WhatsAppClient
|
||||||
except ImportError as e:
|
except ImportError as e:
|
||||||
logger.error(f"WebRTC transport dependencies not installed: {e}")
|
logger.error(f"WhatsApp transport dependencies not installed: {e}")
|
||||||
return
|
|
||||||
|
|
||||||
WHATSAPP_TOKEN = os.getenv("WHATSAPP_TOKEN")
|
|
||||||
WHATSAPP_PHONE_NUMBER_ID = os.getenv("WHATSAPP_PHONE_NUMBER_ID")
|
|
||||||
WHATSAPP_WEBHOOK_VERIFICATION_TOKEN = os.getenv("WHATSAPP_WEBHOOK_VERIFICATION_TOKEN")
|
|
||||||
WHATSAPP_APP_SECRET = os.getenv("WHATSAPP_APP_SECRET")
|
|
||||||
|
|
||||||
if not all(
|
|
||||||
[
|
|
||||||
WHATSAPP_TOKEN,
|
|
||||||
WHATSAPP_PHONE_NUMBER_ID,
|
|
||||||
WHATSAPP_WEBHOOK_VERIFICATION_TOKEN,
|
|
||||||
]
|
|
||||||
):
|
|
||||||
logger.debug(
|
|
||||||
"Missing required environment variables for WhatsApp transport. Keeping it disabled."
|
|
||||||
)
|
|
||||||
return
|
return
|
||||||
|
|
||||||
# Global WhatsApp client instance
|
# Global WhatsApp client instance
|
||||||
@@ -689,6 +697,12 @@ def main():
|
|||||||
parser.add_argument(
|
parser.add_argument(
|
||||||
"--verbose", "-v", action="count", default=0, help="Increase logging verbosity"
|
"--verbose", "-v", action="count", default=0, help="Increase logging verbosity"
|
||||||
)
|
)
|
||||||
|
parser.add_argument(
|
||||||
|
"--whatsapp",
|
||||||
|
action="store_true",
|
||||||
|
default=False,
|
||||||
|
help="Ensure requried WhatsApp environment variables are present",
|
||||||
|
)
|
||||||
|
|
||||||
args = parser.parse_args()
|
args = parser.parse_args()
|
||||||
|
|
||||||
@@ -731,10 +745,11 @@ def main():
|
|||||||
print()
|
print()
|
||||||
if args.esp32:
|
if args.esp32:
|
||||||
print(f"🚀 Bot ready! (ESP32 mode)")
|
print(f"🚀 Bot ready! (ESP32 mode)")
|
||||||
print(f" → Open http://{args.host}:{args.port}/client in your browser")
|
elif args.whatsapp:
|
||||||
|
print(f"🚀 Bot ready! (WhatsApp)")
|
||||||
else:
|
else:
|
||||||
print(f"🚀 Bot ready!")
|
print(f"🚀 Bot ready!")
|
||||||
print(f" → Open http://{args.host}:{args.port}/client in your browser")
|
print(f" → Open http://{args.host}:{args.port}/client in your browser")
|
||||||
print()
|
print()
|
||||||
elif args.transport == "daily":
|
elif args.transport == "daily":
|
||||||
print()
|
print()
|
||||||
@@ -752,6 +767,7 @@ def main():
|
|||||||
host=args.host,
|
host=args.host,
|
||||||
proxy=args.proxy,
|
proxy=args.proxy,
|
||||||
esp32_mode=args.esp32,
|
esp32_mode=args.esp32,
|
||||||
|
whatsapp_enabled=args.whatsapp,
|
||||||
folder=args.folder,
|
folder=args.folder,
|
||||||
)
|
)
|
||||||
|
|
||||||
|
|||||||
@@ -202,6 +202,8 @@ class AssemblyAISTTService(STTService):
|
|||||||
)
|
)
|
||||||
self._connected = True
|
self._connected = True
|
||||||
self._receive_task = self.create_task(self._receive_task_handler())
|
self._receive_task = self.create_task(self._receive_task_handler())
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"Failed to connect to AssemblyAI: {e}")
|
logger.error(f"Failed to connect to AssemblyAI: {e}")
|
||||||
self._connected = False
|
self._connected = False
|
||||||
@@ -243,6 +245,7 @@ class AssemblyAISTTService(STTService):
|
|||||||
self._websocket = None
|
self._websocket = None
|
||||||
self._connected = False
|
self._connected = False
|
||||||
self._receive_task = None
|
self._receive_task = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
async def _receive_task_handler(self):
|
async def _receive_task_handler(self):
|
||||||
"""Handle incoming WebSocket messages."""
|
"""Handle incoming WebSocket messages."""
|
||||||
|
|||||||
@@ -235,6 +235,8 @@ class AsyncAITTSService(InterruptibleTTSService):
|
|||||||
}
|
}
|
||||||
|
|
||||||
await self._get_websocket().send(json.dumps(init_msg))
|
await self._get_websocket().send(json.dumps(init_msg))
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} initialization error: {e}")
|
logger.error(f"{self} initialization error: {e}")
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
@@ -252,6 +254,7 @@ class AsyncAITTSService(InterruptibleTTSService):
|
|||||||
finally:
|
finally:
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
self._started = False
|
self._started = False
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
def _get_websocket(self):
|
def _get_websocket(self):
|
||||||
if self._websocket:
|
if self._websocket:
|
||||||
|
|||||||
@@ -286,6 +286,7 @@ class AWSTranscribeSTTService(STTService):
|
|||||||
|
|
||||||
logger.info(f"{self} Successfully connected to AWS Transcribe")
|
logger.info(f"{self} Successfully connected to AWS Transcribe")
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} Failed to connect to AWS Transcribe: {e}")
|
logger.error(f"{self} Failed to connect to AWS Transcribe: {e}")
|
||||||
await self._disconnect()
|
await self._disconnect()
|
||||||
@@ -310,6 +311,7 @@ class AWSTranscribeSTTService(STTService):
|
|||||||
logger.warning(f"{self} Error closing WebSocket connection: {e}")
|
logger.warning(f"{self} Error closing WebSocket connection: {e}")
|
||||||
finally:
|
finally:
|
||||||
self._ws_client = None
|
self._ws_client = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
def language_to_service_language(self, language: Language) -> str | None:
|
def language_to_service_language(self, language: Language) -> str | None:
|
||||||
"""Convert internal language enum to AWS Transcribe language code.
|
"""Convert internal language enum to AWS Transcribe language code.
|
||||||
|
|||||||
@@ -28,13 +28,12 @@ from pipecat.frames.frames import (
|
|||||||
UserStoppedSpeakingFrame,
|
UserStoppedSpeakingFrame,
|
||||||
)
|
)
|
||||||
from pipecat.processors.frame_processor import FrameDirection
|
from pipecat.processors.frame_processor import FrameDirection
|
||||||
from pipecat.services.stt_service import STTService
|
from pipecat.services.stt_service import WebsocketSTTService
|
||||||
from pipecat.transcriptions.language import Language
|
from pipecat.transcriptions.language import Language
|
||||||
from pipecat.utils.time import time_now_iso8601
|
from pipecat.utils.time import time_now_iso8601
|
||||||
from pipecat.utils.tracing.service_decorators import traced_stt
|
from pipecat.utils.tracing.service_decorators import traced_stt
|
||||||
|
|
||||||
try:
|
try:
|
||||||
import websockets
|
|
||||||
from websockets.asyncio.client import connect as websocket_connect
|
from websockets.asyncio.client import connect as websocket_connect
|
||||||
from websockets.protocol import State
|
from websockets.protocol import State
|
||||||
except ModuleNotFoundError as e:
|
except ModuleNotFoundError as e:
|
||||||
@@ -124,7 +123,7 @@ class CartesiaLiveOptions:
|
|||||||
return cls(**json.loads(json_str))
|
return cls(**json.loads(json_str))
|
||||||
|
|
||||||
|
|
||||||
class CartesiaSTTService(STTService):
|
class CartesiaSTTService(WebsocketSTTService):
|
||||||
"""Speech-to-text service using Cartesia Live API.
|
"""Speech-to-text service using Cartesia Live API.
|
||||||
|
|
||||||
Provides real-time speech transcription through WebSocket connection
|
Provides real-time speech transcription through WebSocket connection
|
||||||
@@ -176,8 +175,7 @@ class CartesiaSTTService(STTService):
|
|||||||
self.set_model_name(merged_options.model)
|
self.set_model_name(merged_options.model)
|
||||||
self._api_key = api_key
|
self._api_key = api_key
|
||||||
self._base_url = base_url or "api.cartesia.ai"
|
self._base_url = base_url or "api.cartesia.ai"
|
||||||
self._connection = None
|
self._receive_task = None
|
||||||
self._receiver_task = None
|
|
||||||
|
|
||||||
def can_generate_metrics(self) -> bool:
|
def can_generate_metrics(self) -> bool:
|
||||||
"""Check if the service can generate processing metrics.
|
"""Check if the service can generate processing metrics.
|
||||||
@@ -214,6 +212,27 @@ class CartesiaSTTService(STTService):
|
|||||||
await super().cancel(frame)
|
await super().cancel(frame)
|
||||||
await self._disconnect()
|
await self._disconnect()
|
||||||
|
|
||||||
|
async def start_metrics(self):
|
||||||
|
"""Start performance metrics collection for transcription processing."""
|
||||||
|
await self.start_ttfb_metrics()
|
||||||
|
await self.start_processing_metrics()
|
||||||
|
|
||||||
|
async def process_frame(self, frame: Frame, direction: FrameDirection):
|
||||||
|
"""Process incoming frames and handle speech events.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
frame: The frame to process.
|
||||||
|
direction: Direction of frame flow in the pipeline.
|
||||||
|
"""
|
||||||
|
await super().process_frame(frame, direction)
|
||||||
|
|
||||||
|
if isinstance(frame, UserStartedSpeakingFrame):
|
||||||
|
await self.start_metrics()
|
||||||
|
elif isinstance(frame, UserStoppedSpeakingFrame):
|
||||||
|
# Send finalize command to flush the transcription session
|
||||||
|
if self._websocket and self._websocket.state is State.OPEN:
|
||||||
|
await self._websocket.send("finalize")
|
||||||
|
|
||||||
async def run_stt(self, audio: bytes) -> AsyncGenerator[Frame, None]:
|
async def run_stt(self, audio: bytes) -> AsyncGenerator[Frame, None]:
|
||||||
"""Process audio data for speech-to-text transcription.
|
"""Process audio data for speech-to-text transcription.
|
||||||
|
|
||||||
@@ -224,45 +243,71 @@ class CartesiaSTTService(STTService):
|
|||||||
None - transcription results are handled via WebSocket responses.
|
None - transcription results are handled via WebSocket responses.
|
||||||
"""
|
"""
|
||||||
# If the connection is closed, due to timeout, we need to reconnect when the user starts speaking again
|
# If the connection is closed, due to timeout, we need to reconnect when the user starts speaking again
|
||||||
if not self._connection or self._connection.state is State.CLOSED:
|
if not self._websocket or self._websocket.state is State.CLOSED:
|
||||||
await self._connect()
|
await self._connect()
|
||||||
|
|
||||||
await self._connection.send(audio)
|
await self._websocket.send(audio)
|
||||||
yield None
|
yield None
|
||||||
|
|
||||||
async def _connect(self):
|
async def _connect(self):
|
||||||
params = self._settings.to_dict()
|
await self._connect_websocket()
|
||||||
ws_url = f"wss://{self._base_url}/stt/websocket?{urllib.parse.urlencode(params)}"
|
|
||||||
logger.debug(f"Connecting to Cartesia: {ws_url}")
|
|
||||||
headers = {"Cartesia-Version": "2025-04-16", "X-API-Key": self._api_key}
|
|
||||||
|
|
||||||
|
if self._websocket and not self._receive_task:
|
||||||
|
self._receive_task = asyncio.create_task(self._receive_task_handler(self._report_error))
|
||||||
|
|
||||||
|
async def _disconnect(self):
|
||||||
|
if self._receive_task:
|
||||||
|
await self.cancel_task(self._receive_task)
|
||||||
|
self._receive_task = None
|
||||||
|
|
||||||
|
await self._disconnect_websocket()
|
||||||
|
|
||||||
|
async def _connect_websocket(self):
|
||||||
try:
|
try:
|
||||||
self._connection = await websocket_connect(ws_url, additional_headers=headers)
|
if self._websocket and self._websocket.state is State.OPEN:
|
||||||
# Setup the receiver task to handle the incoming messages from the Cartesia server
|
return
|
||||||
if self._receiver_task is None or self._receiver_task.done():
|
logger.debug("Connecting to Cartesia STT")
|
||||||
self._receiver_task = asyncio.create_task(self._receive_messages())
|
|
||||||
logger.debug(f"Connected to Cartesia")
|
params = self._settings.to_dict()
|
||||||
|
ws_url = f"wss://{self._base_url}/stt/websocket?{urllib.parse.urlencode(params)}"
|
||||||
|
headers = {"Cartesia-Version": "2025-04-16", "X-API-Key": self._api_key}
|
||||||
|
|
||||||
|
self._websocket = await websocket_connect(ws_url, additional_headers=headers)
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self}: unable to connect to Cartesia: {e}")
|
logger.error(f"{self}: unable to connect to Cartesia: {e}")
|
||||||
|
|
||||||
async def _receive_messages(self):
|
async def _disconnect_websocket(self):
|
||||||
try:
|
try:
|
||||||
while True:
|
if self._websocket and self._websocket.state is State.OPEN:
|
||||||
if not self._connection or self._connection.state is State.CLOSED:
|
logger.debug("Disconnecting from Cartesia STT")
|
||||||
break
|
await self._websocket.close()
|
||||||
|
|
||||||
message = await self._connection.recv()
|
|
||||||
try:
|
|
||||||
data = json.loads(message)
|
|
||||||
await self._process_response(data)
|
|
||||||
except json.JSONDecodeError:
|
|
||||||
logger.warning(f"Received non-JSON message: {message}")
|
|
||||||
except asyncio.CancelledError:
|
|
||||||
pass
|
|
||||||
except websockets.exceptions.ConnectionClosed as e:
|
|
||||||
logger.debug(f"WebSocket connection closed: {e}")
|
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"Error in message receiver: {e}")
|
logger.error(f"{self} error closing websocket: {e}")
|
||||||
|
finally:
|
||||||
|
self._websocket = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
|
def _get_websocket(self):
|
||||||
|
if self._websocket:
|
||||||
|
return self._websocket
|
||||||
|
raise Exception("Websocket not connected")
|
||||||
|
|
||||||
|
async def _process_messages(self):
|
||||||
|
async for message in self._get_websocket():
|
||||||
|
try:
|
||||||
|
data = json.loads(message)
|
||||||
|
await self._process_response(data)
|
||||||
|
except json.JSONDecodeError:
|
||||||
|
logger.warning(f"Received non-JSON message: {message}")
|
||||||
|
|
||||||
|
async def _receive_messages(self):
|
||||||
|
while True:
|
||||||
|
await self._process_messages()
|
||||||
|
# Cartesia times out after 5 minutes of innactivity (no keepalive
|
||||||
|
# mechanism is available). So, we try to reconnect.
|
||||||
|
logger.debug(f"{self} Cartesia connection was disconnected (timeout?), reconnecting")
|
||||||
|
await self._connect_websocket()
|
||||||
|
|
||||||
async def _process_response(self, data):
|
async def _process_response(self, data):
|
||||||
if "type" in data:
|
if "type" in data:
|
||||||
@@ -316,41 +361,3 @@ class CartesiaSTTService(STTService):
|
|||||||
language,
|
language,
|
||||||
)
|
)
|
||||||
)
|
)
|
||||||
|
|
||||||
async def _disconnect(self):
|
|
||||||
if self._receiver_task:
|
|
||||||
self._receiver_task.cancel()
|
|
||||||
try:
|
|
||||||
await self._receiver_task
|
|
||||||
except asyncio.CancelledError:
|
|
||||||
pass
|
|
||||||
except Exception as e:
|
|
||||||
logger.exception(f"Unexpected exception while cancelling task: {e}")
|
|
||||||
self._receiver_task = None
|
|
||||||
|
|
||||||
if self._connection and self._connection.state is State.OPEN:
|
|
||||||
logger.debug("Disconnecting from Cartesia")
|
|
||||||
|
|
||||||
await self._connection.close()
|
|
||||||
self._connection = None
|
|
||||||
|
|
||||||
async def start_metrics(self):
|
|
||||||
"""Start performance metrics collection for transcription processing."""
|
|
||||||
await self.start_ttfb_metrics()
|
|
||||||
await self.start_processing_metrics()
|
|
||||||
|
|
||||||
async def process_frame(self, frame: Frame, direction: FrameDirection):
|
|
||||||
"""Process incoming frames and handle speech events.
|
|
||||||
|
|
||||||
Args:
|
|
||||||
frame: The frame to process.
|
|
||||||
direction: Direction of frame flow in the pipeline.
|
|
||||||
"""
|
|
||||||
await super().process_frame(frame, direction)
|
|
||||||
|
|
||||||
if isinstance(frame, UserStartedSpeakingFrame):
|
|
||||||
await self.start_metrics()
|
|
||||||
elif isinstance(frame, UserStoppedSpeakingFrame):
|
|
||||||
# Send finalize command to flush the transcription session
|
|
||||||
if self._connection and self._connection.state is State.OPEN:
|
|
||||||
await self._connection.send("finalize")
|
|
||||||
|
|||||||
@@ -344,10 +344,11 @@ class CartesiaTTSService(AudioContextWordTTSService):
|
|||||||
try:
|
try:
|
||||||
if self._websocket and self._websocket.state is State.OPEN:
|
if self._websocket and self._websocket.state is State.OPEN:
|
||||||
return
|
return
|
||||||
logger.debug("Connecting to Cartesia")
|
logger.debug("Connecting to Cartesia TTS")
|
||||||
self._websocket = await websocket_connect(
|
self._websocket = await websocket_connect(
|
||||||
f"{self._url}?api_key={self._api_key}&cartesia_version={self._cartesia_version}"
|
f"{self._url}?api_key={self._api_key}&cartesia_version={self._cartesia_version}"
|
||||||
)
|
)
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} initialization error: {e}")
|
logger.error(f"{self} initialization error: {e}")
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
@@ -365,6 +366,7 @@ class CartesiaTTSService(AudioContextWordTTSService):
|
|||||||
finally:
|
finally:
|
||||||
self._context_id = None
|
self._context_id = None
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
def _get_websocket(self):
|
def _get_websocket(self):
|
||||||
if self._websocket:
|
if self._websocket:
|
||||||
|
|||||||
@@ -205,6 +205,7 @@ class DeepgramFluxSTTService(WebsocketSTTService):
|
|||||||
additional_headers={"Authorization": f"Token {self._api_key}"},
|
additional_headers={"Authorization": f"Token {self._api_key}"},
|
||||||
)
|
)
|
||||||
logger.debug("Connected to Deepgram Flux Websocket")
|
logger.debug("Connected to Deepgram Flux Websocket")
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} initialization error: {e}")
|
logger.error(f"{self} initialization error: {e}")
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
@@ -225,6 +226,9 @@ class DeepgramFluxSTTService(WebsocketSTTService):
|
|||||||
await self._websocket.close()
|
await self._websocket.close()
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} error closing websocket: {e}")
|
logger.error(f"{self} error closing websocket: {e}")
|
||||||
|
finally:
|
||||||
|
self._websocket = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
async def _send_close_stream(self) -> None:
|
async def _send_close_stream(self) -> None:
|
||||||
"""Sends a CloseStream control message to the Deepgram Flux WebSocket API.
|
"""Sends a CloseStream control message to the Deepgram Flux WebSocket API.
|
||||||
|
|||||||
@@ -528,6 +528,7 @@ class ElevenLabsTTSService(AudioContextWordTTSService):
|
|||||||
url, max_size=16 * 1024 * 1024, additional_headers={"xi-api-key": self._api_key}
|
url, max_size=16 * 1024 * 1024, additional_headers={"xi-api-key": self._api_key}
|
||||||
)
|
)
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} initialization error: {e}")
|
logger.error(f"{self} initialization error: {e}")
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
@@ -550,6 +551,7 @@ class ElevenLabsTTSService(AudioContextWordTTSService):
|
|||||||
self._started = False
|
self._started = False
|
||||||
self._context_id = None
|
self._context_id = None
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
def _get_websocket(self):
|
def _get_websocket(self):
|
||||||
if self._websocket:
|
if self._websocket:
|
||||||
@@ -774,6 +776,7 @@ class ElevenLabsHttpTTSService(WordTTSService):
|
|||||||
base_url: str = "https://api.elevenlabs.io",
|
base_url: str = "https://api.elevenlabs.io",
|
||||||
sample_rate: Optional[int] = None,
|
sample_rate: Optional[int] = None,
|
||||||
params: Optional[InputParams] = None,
|
params: Optional[InputParams] = None,
|
||||||
|
aggregate_sentences: Optional[bool] = True,
|
||||||
**kwargs,
|
**kwargs,
|
||||||
):
|
):
|
||||||
"""Initialize the ElevenLabs HTTP TTS service.
|
"""Initialize the ElevenLabs HTTP TTS service.
|
||||||
@@ -786,10 +789,11 @@ class ElevenLabsHttpTTSService(WordTTSService):
|
|||||||
base_url: Base URL for ElevenLabs HTTP API.
|
base_url: Base URL for ElevenLabs HTTP API.
|
||||||
sample_rate: Audio sample rate. If None, uses default.
|
sample_rate: Audio sample rate. If None, uses default.
|
||||||
params: Additional input parameters for voice customization.
|
params: Additional input parameters for voice customization.
|
||||||
|
aggregate_sentences: Whether to aggregate sentences within the TTSService.
|
||||||
**kwargs: Additional arguments passed to the parent service.
|
**kwargs: Additional arguments passed to the parent service.
|
||||||
"""
|
"""
|
||||||
super().__init__(
|
super().__init__(
|
||||||
aggregate_sentences=True,
|
aggregate_sentences=aggregate_sentences,
|
||||||
push_text_frames=False,
|
push_text_frames=False,
|
||||||
push_stop_frames=True,
|
push_stop_frames=True,
|
||||||
sample_rate=sample_rate,
|
sample_rate=sample_rate,
|
||||||
@@ -983,6 +987,9 @@ class ElevenLabsHttpTTSService(WordTTSService):
|
|||||||
if self._voice_settings:
|
if self._voice_settings:
|
||||||
payload["voice_settings"] = self._voice_settings
|
payload["voice_settings"] = self._voice_settings
|
||||||
|
|
||||||
|
if self._settings["apply_text_normalization"] is not None:
|
||||||
|
payload["apply_text_normalization"] = self._settings["apply_text_normalization"]
|
||||||
|
|
||||||
language = self._settings["language"]
|
language = self._settings["language"]
|
||||||
if self._model_name in ELEVENLABS_MULTILINGUAL_MODELS and language:
|
if self._model_name in ELEVENLABS_MULTILINGUAL_MODELS and language:
|
||||||
payload["language_code"] = language
|
payload["language_code"] = language
|
||||||
@@ -1003,8 +1010,6 @@ class ElevenLabsHttpTTSService(WordTTSService):
|
|||||||
}
|
}
|
||||||
if self._settings["optimize_streaming_latency"] is not None:
|
if self._settings["optimize_streaming_latency"] is not None:
|
||||||
params["optimize_streaming_latency"] = self._settings["optimize_streaming_latency"]
|
params["optimize_streaming_latency"] = self._settings["optimize_streaming_latency"]
|
||||||
if self._settings["apply_text_normalization"] is not None:
|
|
||||||
params["apply_text_normalization"] = self._settings["apply_text_normalization"]
|
|
||||||
|
|
||||||
try:
|
try:
|
||||||
await self.start_ttfb_metrics()
|
await self.start_ttfb_metrics()
|
||||||
@@ -1065,6 +1070,14 @@ class ElevenLabsHttpTTSService(WordTTSService):
|
|||||||
logger.error(f"Error processing response: {e}", exc_info=True)
|
logger.error(f"Error processing response: {e}", exc_info=True)
|
||||||
continue
|
continue
|
||||||
|
|
||||||
|
# After processing all chunks, emit any remaining partial word
|
||||||
|
# since this is the end of the utterance
|
||||||
|
if self._partial_word:
|
||||||
|
final_word_time = [(self._partial_word, self._partial_word_start_time)]
|
||||||
|
await self.add_word_timestamps(final_word_time)
|
||||||
|
self._partial_word = ""
|
||||||
|
self._partial_word_start_time = 0.0
|
||||||
|
|
||||||
# After processing all chunks, add the total utterance duration
|
# After processing all chunks, add the total utterance duration
|
||||||
# to the cumulative time to ensure next utterance starts after this one
|
# to the cumulative time to ensure next utterance starts after this one
|
||||||
if utterance_duration > 0:
|
if utterance_duration > 0:
|
||||||
|
|||||||
@@ -225,6 +225,8 @@ class FishAudioTTSService(InterruptibleTTSService):
|
|||||||
start_message = {"event": "start", "request": {"text": "", **self._settings}}
|
start_message = {"event": "start", "request": {"text": "", **self._settings}}
|
||||||
await self._websocket.send(ormsgpack.packb(start_message))
|
await self._websocket.send(ormsgpack.packb(start_message))
|
||||||
logger.debug("Sent start message to Fish Audio")
|
logger.debug("Sent start message to Fish Audio")
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"Fish Audio initialization error: {e}")
|
logger.error(f"Fish Audio initialization error: {e}")
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
@@ -245,6 +247,7 @@ class FishAudioTTSService(InterruptibleTTSService):
|
|||||||
self._request_id = None
|
self._request_id = None
|
||||||
self._started = False
|
self._started = False
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
async def flush_audio(self):
|
async def flush_audio(self):
|
||||||
"""Flush any buffered audio by sending a flush event to Fish Audio."""
|
"""Flush any buffered audio by sending a flush event to Fish Audio."""
|
||||||
|
|||||||
@@ -730,6 +730,8 @@ class GoogleSTTService(STTService):
|
|||||||
self._request_queue = asyncio.Queue()
|
self._request_queue = asyncio.Queue()
|
||||||
self._streaming_task = self.create_task(self._stream_audio())
|
self._streaming_task = self.create_task(self._stream_audio())
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
|
|
||||||
async def _disconnect(self):
|
async def _disconnect(self):
|
||||||
"""Clean up streaming recognition resources."""
|
"""Clean up streaming recognition resources."""
|
||||||
if self._streaming_task:
|
if self._streaming_task:
|
||||||
@@ -737,6 +739,8 @@ class GoogleSTTService(STTService):
|
|||||||
await self.cancel_task(self._streaming_task)
|
await self.cancel_task(self._streaming_task)
|
||||||
self._streaming_task = None
|
self._streaming_task = None
|
||||||
|
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
async def _request_generator(self):
|
async def _request_generator(self):
|
||||||
"""Generates requests for the streaming recognize method."""
|
"""Generates requests for the streaming recognize method."""
|
||||||
recognizer_path = f"projects/{self._project_id}/locations/{self._location}/recognizers/_"
|
recognizer_path = f"projects/{self._project_id}/locations/{self._location}/recognizers/_"
|
||||||
|
|||||||
@@ -222,6 +222,7 @@ class LmntTTSService(InterruptibleTTSService):
|
|||||||
# Send initialization message
|
# Send initialization message
|
||||||
await self._websocket.send(json.dumps(init_msg))
|
await self._websocket.send(json.dumps(init_msg))
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} initialization error: {e}")
|
logger.error(f"{self} initialization error: {e}")
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
@@ -243,6 +244,7 @@ class LmntTTSService(InterruptibleTTSService):
|
|||||||
finally:
|
finally:
|
||||||
self._started = False
|
self._started = False
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
def _get_websocket(self):
|
def _get_websocket(self):
|
||||||
"""Get the WebSocket connection if available."""
|
"""Get the WebSocket connection if available."""
|
||||||
|
|||||||
@@ -293,6 +293,8 @@ class NeuphonicTTSService(InterruptibleTTSService):
|
|||||||
headers = {"x-api-key": self._api_key}
|
headers = {"x-api-key": self._api_key}
|
||||||
|
|
||||||
self._websocket = await websocket_connect(url, additional_headers=headers)
|
self._websocket = await websocket_connect(url, additional_headers=headers)
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} initialization error: {e}")
|
logger.error(f"{self} initialization error: {e}")
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
@@ -311,6 +313,7 @@ class NeuphonicTTSService(InterruptibleTTSService):
|
|||||||
finally:
|
finally:
|
||||||
self._started = False
|
self._started = False
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
async def _receive_messages(self):
|
async def _receive_messages(self):
|
||||||
"""Receive and process messages from Neuphonic WebSocket."""
|
"""Receive and process messages from Neuphonic WebSocket."""
|
||||||
|
|||||||
@@ -14,6 +14,7 @@ from typing import AsyncGenerator, Dict, Literal, Optional
|
|||||||
|
|
||||||
from loguru import logger
|
from loguru import logger
|
||||||
from openai import AsyncOpenAI, BadRequestError
|
from openai import AsyncOpenAI, BadRequestError
|
||||||
|
from pydantic import BaseModel
|
||||||
|
|
||||||
from pipecat.frames.frames import (
|
from pipecat.frames.frames import (
|
||||||
ErrorFrame,
|
ErrorFrame,
|
||||||
@@ -55,6 +56,17 @@ class OpenAITTSService(TTSService):
|
|||||||
|
|
||||||
OPENAI_SAMPLE_RATE = 24000 # OpenAI TTS always outputs at 24kHz
|
OPENAI_SAMPLE_RATE = 24000 # OpenAI TTS always outputs at 24kHz
|
||||||
|
|
||||||
|
class InputParams(BaseModel):
|
||||||
|
"""Input parameters for OpenAI TTS configuration.
|
||||||
|
|
||||||
|
Parameters:
|
||||||
|
instructions: Instructions to guide voice synthesis behavior.
|
||||||
|
speed: Voice speed control (0.25 to 4.0, default 1.0).
|
||||||
|
"""
|
||||||
|
|
||||||
|
instructions: Optional[str] = None
|
||||||
|
speed: Optional[float] = None
|
||||||
|
|
||||||
def __init__(
|
def __init__(
|
||||||
self,
|
self,
|
||||||
*,
|
*,
|
||||||
@@ -65,6 +77,7 @@ class OpenAITTSService(TTSService):
|
|||||||
sample_rate: Optional[int] = None,
|
sample_rate: Optional[int] = None,
|
||||||
instructions: Optional[str] = None,
|
instructions: Optional[str] = None,
|
||||||
speed: Optional[float] = None,
|
speed: Optional[float] = None,
|
||||||
|
params: Optional[InputParams] = None,
|
||||||
**kwargs,
|
**kwargs,
|
||||||
):
|
):
|
||||||
"""Initialize OpenAI TTS service.
|
"""Initialize OpenAI TTS service.
|
||||||
@@ -77,7 +90,11 @@ class OpenAITTSService(TTSService):
|
|||||||
sample_rate: Output audio sample rate in Hz. If None, uses OpenAI's default 24kHz.
|
sample_rate: Output audio sample rate in Hz. If None, uses OpenAI's default 24kHz.
|
||||||
instructions: Optional instructions to guide voice synthesis behavior.
|
instructions: Optional instructions to guide voice synthesis behavior.
|
||||||
speed: Voice speed control (0.25 to 4.0, default 1.0).
|
speed: Voice speed control (0.25 to 4.0, default 1.0).
|
||||||
|
params: Optional synthesis controls (acting instructions, speed, ...).
|
||||||
**kwargs: Additional keyword arguments passed to TTSService.
|
**kwargs: Additional keyword arguments passed to TTSService.
|
||||||
|
|
||||||
|
.. deprecated:: 0.0.91
|
||||||
|
The `instructions` and `speed` parameters are deprecated, use `InputParams` instead.
|
||||||
"""
|
"""
|
||||||
if sample_rate and sample_rate != self.OPENAI_SAMPLE_RATE:
|
if sample_rate and sample_rate != self.OPENAI_SAMPLE_RATE:
|
||||||
logger.warning(
|
logger.warning(
|
||||||
@@ -86,12 +103,26 @@ class OpenAITTSService(TTSService):
|
|||||||
)
|
)
|
||||||
super().__init__(sample_rate=sample_rate, **kwargs)
|
super().__init__(sample_rate=sample_rate, **kwargs)
|
||||||
|
|
||||||
self._speed = speed
|
|
||||||
self.set_model_name(model)
|
self.set_model_name(model)
|
||||||
self.set_voice(voice)
|
self.set_voice(voice)
|
||||||
self._instructions = instructions
|
|
||||||
self._client = AsyncOpenAI(api_key=api_key, base_url=base_url)
|
self._client = AsyncOpenAI(api_key=api_key, base_url=base_url)
|
||||||
|
|
||||||
|
if instructions or speed:
|
||||||
|
import warnings
|
||||||
|
|
||||||
|
with warnings.catch_warnings():
|
||||||
|
warnings.simplefilter("always")
|
||||||
|
warnings.warn(
|
||||||
|
"The `instructions` and `speed` parameters are deprecated, use `InputParams` instead.",
|
||||||
|
DeprecationWarning,
|
||||||
|
stacklevel=2,
|
||||||
|
)
|
||||||
|
|
||||||
|
self._settings = {
|
||||||
|
"instructions": params.instructions if params else instructions,
|
||||||
|
"speed": params.speed if params else speed,
|
||||||
|
}
|
||||||
|
|
||||||
def can_generate_metrics(self) -> bool:
|
def can_generate_metrics(self) -> bool:
|
||||||
"""Check if this service can generate processing metrics.
|
"""Check if this service can generate processing metrics.
|
||||||
|
|
||||||
@@ -144,11 +175,11 @@ class OpenAITTSService(TTSService):
|
|||||||
"response_format": "pcm",
|
"response_format": "pcm",
|
||||||
}
|
}
|
||||||
|
|
||||||
if self._instructions:
|
if self._settings["instructions"]:
|
||||||
create_params["instructions"] = self._instructions
|
create_params["instructions"] = self._settings["instructions"]
|
||||||
|
|
||||||
if self._speed:
|
if self._settings["speed"]:
|
||||||
create_params["speed"] = self._speed
|
create_params["speed"] = self._settings["speed"]
|
||||||
|
|
||||||
async with self._client.audio.speech.with_streaming_response.create(
|
async with self._client.audio.speech.with_streaming_response.create(
|
||||||
**create_params
|
**create_params
|
||||||
|
|||||||
@@ -269,6 +269,8 @@ class PlayHTTTSService(InterruptibleTTSService):
|
|||||||
raise ValueError("WebSocket URL is not a string")
|
raise ValueError("WebSocket URL is not a string")
|
||||||
|
|
||||||
self._websocket = await websocket_connect(self._websocket_url)
|
self._websocket = await websocket_connect(self._websocket_url)
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except ValueError as e:
|
except ValueError as e:
|
||||||
logger.error(f"{self} initialization error: {e}")
|
logger.error(f"{self} initialization error: {e}")
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
@@ -291,6 +293,7 @@ class PlayHTTTSService(InterruptibleTTSService):
|
|||||||
finally:
|
finally:
|
||||||
self._request_id = None
|
self._request_id = None
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
async def _get_websocket_url(self):
|
async def _get_websocket_url(self):
|
||||||
"""Retrieve WebSocket URL from PlayHT API."""
|
"""Retrieve WebSocket URL from PlayHT API."""
|
||||||
|
|||||||
@@ -255,6 +255,8 @@ class RimeTTSService(AudioContextWordTTSService):
|
|||||||
url = f"{self._url}?{params}"
|
url = f"{self._url}?{params}"
|
||||||
headers = {"Authorization": f"Bearer {self._api_key}"}
|
headers = {"Authorization": f"Bearer {self._api_key}"}
|
||||||
self._websocket = await websocket_connect(url, additional_headers=headers)
|
self._websocket = await websocket_connect(url, additional_headers=headers)
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} initialization error: {e}")
|
logger.error(f"{self} initialization error: {e}")
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
@@ -272,6 +274,7 @@ class RimeTTSService(AudioContextWordTTSService):
|
|||||||
finally:
|
finally:
|
||||||
self._context_id = None
|
self._context_id = None
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
def _get_websocket(self):
|
def _get_websocket(self):
|
||||||
"""Get active websocket connection or raise exception."""
|
"""Get active websocket connection or raise exception."""
|
||||||
|
|||||||
@@ -525,6 +525,7 @@ class SarvamTTSService(InterruptibleTTSService):
|
|||||||
logger.debug("Connected to Sarvam TTS Websocket")
|
logger.debug("Connected to Sarvam TTS Websocket")
|
||||||
await self._send_config()
|
await self._send_config()
|
||||||
|
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} initialization error: {e}")
|
logger.error(f"{self} initialization error: {e}")
|
||||||
self._websocket = None
|
self._websocket = None
|
||||||
@@ -556,6 +557,10 @@ class SarvamTTSService(InterruptibleTTSService):
|
|||||||
await self._websocket.close()
|
await self._websocket.close()
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} error closing websocket: {e}")
|
logger.error(f"{self} error closing websocket: {e}")
|
||||||
|
finally:
|
||||||
|
self._started = False
|
||||||
|
self._websocket = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
def _get_websocket(self):
|
def _get_websocket(self):
|
||||||
if self._websocket:
|
if self._websocket:
|
||||||
|
|||||||
@@ -577,6 +577,7 @@ class SpeechmaticsSTTService(STTService):
|
|||||||
),
|
),
|
||||||
)
|
)
|
||||||
logger.debug(f"{self} Connected to Speechmatics STT service")
|
logger.debug(f"{self} Connected to Speechmatics STT service")
|
||||||
|
await self._call_event_handler("on_connected")
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.error(f"{self} Error connecting to Speechmatics: {e}")
|
logger.error(f"{self} Error connecting to Speechmatics: {e}")
|
||||||
self._client = None
|
self._client = None
|
||||||
@@ -595,6 +596,7 @@ class SpeechmaticsSTTService(STTService):
|
|||||||
logger.error(f"{self} Error closing Speechmatics client: {e}")
|
logger.error(f"{self} Error closing Speechmatics client: {e}")
|
||||||
finally:
|
finally:
|
||||||
self._client = None
|
self._client = None
|
||||||
|
await self._call_event_handler("on_disconnected")
|
||||||
|
|
||||||
def _process_config(self) -> None:
|
def _process_config(self) -> None:
|
||||||
"""Create a formatted STT transcription config.
|
"""Create a formatted STT transcription config.
|
||||||
|
|||||||
@@ -35,6 +35,25 @@ class STTService(AIService):
|
|||||||
Provides common functionality for STT services including audio passthrough,
|
Provides common functionality for STT services including audio passthrough,
|
||||||
muting, settings management, and audio processing. Subclasses must implement
|
muting, settings management, and audio processing. Subclasses must implement
|
||||||
the run_stt method to provide actual speech recognition.
|
the run_stt method to provide actual speech recognition.
|
||||||
|
|
||||||
|
Event handlers:
|
||||||
|
on_connected: Called when connected to the STT service.
|
||||||
|
on_connected: Called when disconnected from the STT service.
|
||||||
|
on_connection_error: Called when a connection to the STT service error occurs.
|
||||||
|
|
||||||
|
Example::
|
||||||
|
|
||||||
|
@stt.event_handler("on_connected")
|
||||||
|
async def on_connected(stt: STTService):
|
||||||
|
logger.debug(f"STT connected")
|
||||||
|
|
||||||
|
@stt.event_handler("on_disconnected")
|
||||||
|
async def on_disconnected(stt: STTService):
|
||||||
|
logger.debug(f"STT disconnected")
|
||||||
|
|
||||||
|
@stt.event_handler("on_connection_error")
|
||||||
|
async def on_connection_error(stt: STTService, error: str):
|
||||||
|
logger.error(f"STT connection error: {error}")
|
||||||
"""
|
"""
|
||||||
|
|
||||||
def __init__(
|
def __init__(
|
||||||
@@ -62,6 +81,10 @@ class STTService(AIService):
|
|||||||
self._muted: bool = False
|
self._muted: bool = False
|
||||||
self._user_id: str = ""
|
self._user_id: str = ""
|
||||||
|
|
||||||
|
self._register_event_handler("on_connected")
|
||||||
|
self._register_event_handler("on_disconnected")
|
||||||
|
self._register_event_handler("on_connection_error")
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def is_muted(self) -> bool:
|
def is_muted(self) -> bool:
|
||||||
"""Check if the STT service is currently muted.
|
"""Check if the STT service is currently muted.
|
||||||
@@ -292,15 +315,6 @@ class WebsocketSTTService(STTService, WebsocketService):
|
|||||||
|
|
||||||
Combines STT functionality with websocket connectivity, providing automatic
|
Combines STT functionality with websocket connectivity, providing automatic
|
||||||
error handling and reconnection capabilities.
|
error handling and reconnection capabilities.
|
||||||
|
|
||||||
Event handlers:
|
|
||||||
on_connection_error: Called when a websocket connection error occurs.
|
|
||||||
|
|
||||||
Example::
|
|
||||||
|
|
||||||
@stt.event_handler("on_connection_error")
|
|
||||||
async def on_connection_error(stt: STTService, error: str):
|
|
||||||
logger.error(f"STT connection error: {error}")
|
|
||||||
"""
|
"""
|
||||||
|
|
||||||
def __init__(self, *, reconnect_on_error: bool = True, **kwargs):
|
def __init__(self, *, reconnect_on_error: bool = True, **kwargs):
|
||||||
@@ -312,7 +326,6 @@ class WebsocketSTTService(STTService, WebsocketService):
|
|||||||
"""
|
"""
|
||||||
STTService.__init__(self, **kwargs)
|
STTService.__init__(self, **kwargs)
|
||||||
WebsocketService.__init__(self, reconnect_on_error=reconnect_on_error, **kwargs)
|
WebsocketService.__init__(self, reconnect_on_error=reconnect_on_error, **kwargs)
|
||||||
self._register_event_handler("on_connection_error")
|
|
||||||
|
|
||||||
async def _report_error(self, error: ErrorFrame):
|
async def _report_error(self, error: ErrorFrame):
|
||||||
await self._call_event_handler("on_connection_error", error.error)
|
await self._call_event_handler("on_connection_error", error.error)
|
||||||
|
|||||||
@@ -59,6 +59,25 @@ class TTSService(AIService):
|
|||||||
Provides common functionality for TTS services including text aggregation,
|
Provides common functionality for TTS services including text aggregation,
|
||||||
filtering, audio generation, and frame management. Supports configurable
|
filtering, audio generation, and frame management. Supports configurable
|
||||||
sentence aggregation, silence insertion, and frame processing control.
|
sentence aggregation, silence insertion, and frame processing control.
|
||||||
|
|
||||||
|
Event handlers:
|
||||||
|
on_connected: Called when connected to the STT service.
|
||||||
|
on_connected: Called when disconnected from the STT service.
|
||||||
|
on_connection_error: Called when a connection to the STT service error occurs.
|
||||||
|
|
||||||
|
Example::
|
||||||
|
|
||||||
|
@tts.event_handler("on_connected")
|
||||||
|
async def on_connected(tts: TTSService):
|
||||||
|
logger.debug(f"TTS connected")
|
||||||
|
|
||||||
|
@tts.event_handler("on_disconnected")
|
||||||
|
async def on_disconnected(tts: TTSService):
|
||||||
|
logger.debug(f"TTS disconnected")
|
||||||
|
|
||||||
|
@tts.event_handler("on_connection_error")
|
||||||
|
async def on_connection_error(stt: TTSService, error: str):
|
||||||
|
logger.error(f"TTS connection error: {error}")
|
||||||
"""
|
"""
|
||||||
|
|
||||||
def __init__(
|
def __init__(
|
||||||
@@ -143,6 +162,10 @@ class TTSService(AIService):
|
|||||||
|
|
||||||
self._processing_text: bool = False
|
self._processing_text: bool = False
|
||||||
|
|
||||||
|
self._register_event_handler("on_connected")
|
||||||
|
self._register_event_handler("on_disconnected")
|
||||||
|
self._register_event_handler("on_connection_error")
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def sample_rate(self) -> int:
|
def sample_rate(self) -> int:
|
||||||
"""Get the current sample rate for audio output.
|
"""Get the current sample rate for audio output.
|
||||||
@@ -626,7 +649,6 @@ class WebsocketTTSService(TTSService, WebsocketService):
|
|||||||
"""
|
"""
|
||||||
TTSService.__init__(self, **kwargs)
|
TTSService.__init__(self, **kwargs)
|
||||||
WebsocketService.__init__(self, reconnect_on_error=reconnect_on_error, **kwargs)
|
WebsocketService.__init__(self, reconnect_on_error=reconnect_on_error, **kwargs)
|
||||||
self._register_event_handler("on_connection_error")
|
|
||||||
|
|
||||||
async def _report_error(self, error: ErrorFrame):
|
async def _report_error(self, error: ErrorFrame):
|
||||||
await self._call_event_handler("on_connection_error", error.error)
|
await self._call_event_handler("on_connection_error", error.error)
|
||||||
@@ -678,15 +700,6 @@ class WebsocketWordTTSService(WordTTSService, WebsocketService):
|
|||||||
"""Base class for websocket-based TTS services that support word timestamps.
|
"""Base class for websocket-based TTS services that support word timestamps.
|
||||||
|
|
||||||
Combines word timestamp functionality with websocket connectivity.
|
Combines word timestamp functionality with websocket connectivity.
|
||||||
|
|
||||||
Event handlers:
|
|
||||||
on_connection_error: Called when a websocket connection error occurs.
|
|
||||||
|
|
||||||
Example::
|
|
||||||
|
|
||||||
@tts.event_handler("on_connection_error")
|
|
||||||
async def on_connection_error(tts: TTSService, error: str):
|
|
||||||
logger.error(f"TTS connection error: {error}")
|
|
||||||
"""
|
"""
|
||||||
|
|
||||||
def __init__(self, *, reconnect_on_error: bool = True, **kwargs):
|
def __init__(self, *, reconnect_on_error: bool = True, **kwargs):
|
||||||
@@ -698,7 +711,6 @@ class WebsocketWordTTSService(WordTTSService, WebsocketService):
|
|||||||
"""
|
"""
|
||||||
WordTTSService.__init__(self, **kwargs)
|
WordTTSService.__init__(self, **kwargs)
|
||||||
WebsocketService.__init__(self, reconnect_on_error=reconnect_on_error, **kwargs)
|
WebsocketService.__init__(self, reconnect_on_error=reconnect_on_error, **kwargs)
|
||||||
self._register_event_handler("on_connection_error")
|
|
||||||
|
|
||||||
async def _report_error(self, error: ErrorFrame):
|
async def _report_error(self, error: ErrorFrame):
|
||||||
await self._call_event_handler("on_connection_error", error.error)
|
await self._call_event_handler("on_connection_error", error.error)
|
||||||
|
|||||||
@@ -232,6 +232,9 @@ class BaseInputTransport(FrameProcessor):
|
|||||||
"""
|
"""
|
||||||
# Cancel and wait for the audio input task to finish.
|
# Cancel and wait for the audio input task to finish.
|
||||||
await self._cancel_audio_task()
|
await self._cancel_audio_task()
|
||||||
|
# Stop audio filter.
|
||||||
|
if self._params.audio_in_filter:
|
||||||
|
await self._params.audio_in_filter.stop()
|
||||||
|
|
||||||
async def set_transport_ready(self, frame: StartFrame):
|
async def set_transport_ready(self, frame: StartFrame):
|
||||||
"""Called when the transport is ready to stream.
|
"""Called when the transport is ready to stream.
|
||||||
|
|||||||
@@ -254,7 +254,7 @@ class TestPipelineTask(unittest.IsolatedAsyncioTestCase):
|
|||||||
|
|
||||||
try:
|
try:
|
||||||
await asyncio.wait_for(
|
await asyncio.wait_for(
|
||||||
asyncio.shield(task.run(PipelineTaskParams(loop=asyncio.get_event_loop()))),
|
task.run(PipelineTaskParams(loop=asyncio.get_event_loop())),
|
||||||
timeout=1.0,
|
timeout=1.0,
|
||||||
)
|
)
|
||||||
except asyncio.TimeoutError:
|
except asyncio.TimeoutError:
|
||||||
@@ -290,7 +290,7 @@ class TestPipelineTask(unittest.IsolatedAsyncioTestCase):
|
|||||||
await task.queue_frame(TextFrame(text="Hello!"))
|
await task.queue_frame(TextFrame(text="Hello!"))
|
||||||
try:
|
try:
|
||||||
await asyncio.wait_for(
|
await asyncio.wait_for(
|
||||||
asyncio.shield(task.run(PipelineTaskParams(loop=asyncio.get_event_loop()))),
|
task.run(PipelineTaskParams(loop=asyncio.get_event_loop())),
|
||||||
timeout=1.0,
|
timeout=1.0,
|
||||||
)
|
)
|
||||||
except asyncio.TimeoutError:
|
except asyncio.TimeoutError:
|
||||||
@@ -301,11 +301,8 @@ class TestPipelineTask(unittest.IsolatedAsyncioTestCase):
|
|||||||
identity = IdentityFilter()
|
identity = IdentityFilter()
|
||||||
pipeline = Pipeline([identity])
|
pipeline = Pipeline([identity])
|
||||||
task = PipelineTask(pipeline, idle_timeout_secs=0.2)
|
task = PipelineTask(pipeline, idle_timeout_secs=0.2)
|
||||||
try:
|
# This shouldn't freeze, so nothing to check really.
|
||||||
await task.run(PipelineTaskParams(loop=asyncio.get_event_loop()))
|
await task.run(PipelineTaskParams(loop=asyncio.get_event_loop()))
|
||||||
assert False
|
|
||||||
except asyncio.CancelledError:
|
|
||||||
assert True
|
|
||||||
|
|
||||||
async def test_no_idle_task(self):
|
async def test_no_idle_task(self):
|
||||||
identity = IdentityFilter()
|
identity = IdentityFilter()
|
||||||
@@ -313,7 +310,7 @@ class TestPipelineTask(unittest.IsolatedAsyncioTestCase):
|
|||||||
task = PipelineTask(pipeline, idle_timeout_secs=0.2, cancel_on_idle_timeout=False)
|
task = PipelineTask(pipeline, idle_timeout_secs=0.2, cancel_on_idle_timeout=False)
|
||||||
try:
|
try:
|
||||||
await asyncio.wait_for(
|
await asyncio.wait_for(
|
||||||
asyncio.shield(task.run(PipelineTaskParams(loop=asyncio.get_event_loop()))),
|
task.run(PipelineTaskParams(loop=asyncio.get_event_loop())),
|
||||||
timeout=0.3,
|
timeout=0.3,
|
||||||
)
|
)
|
||||||
except asyncio.TimeoutError:
|
except asyncio.TimeoutError:
|
||||||
@@ -332,11 +329,7 @@ class TestPipelineTask(unittest.IsolatedAsyncioTestCase):
|
|||||||
),
|
),
|
||||||
idle_timeout_secs=0.3,
|
idle_timeout_secs=0.3,
|
||||||
)
|
)
|
||||||
try:
|
await task.run(PipelineTaskParams(loop=asyncio.get_event_loop()))
|
||||||
await task.run(PipelineTaskParams(loop=asyncio.get_event_loop()))
|
|
||||||
assert False
|
|
||||||
except asyncio.CancelledError:
|
|
||||||
assert True
|
|
||||||
|
|
||||||
async def test_idle_task_event_handler_no_frames(self):
|
async def test_idle_task_event_handler_no_frames(self):
|
||||||
identity = IdentityFilter()
|
identity = IdentityFilter()
|
||||||
@@ -351,11 +344,8 @@ class TestPipelineTask(unittest.IsolatedAsyncioTestCase):
|
|||||||
idle_timeout = True
|
idle_timeout = True
|
||||||
await task.cancel()
|
await task.cancel()
|
||||||
|
|
||||||
try:
|
await task.run(PipelineTaskParams(loop=asyncio.get_event_loop()))
|
||||||
await task.run(PipelineTaskParams(loop=asyncio.get_event_loop()))
|
assert idle_timeout
|
||||||
assert False
|
|
||||||
except asyncio.CancelledError:
|
|
||||||
assert idle_timeout
|
|
||||||
|
|
||||||
async def test_idle_task_event_handler_quiet_user(self):
|
async def test_idle_task_event_handler_quiet_user(self):
|
||||||
identity = IdentityFilter()
|
identity = IdentityFilter()
|
||||||
@@ -416,12 +406,15 @@ class TestPipelineTask(unittest.IsolatedAsyncioTestCase):
|
|||||||
asyncio.create_task(delayed_frames()),
|
asyncio.create_task(delayed_frames()),
|
||||||
]
|
]
|
||||||
|
|
||||||
await asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED)
|
_, pending = await asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED)
|
||||||
|
|
||||||
diff_time = time.time() - start_time
|
diff_time = time.time() - start_time
|
||||||
|
|
||||||
self.assertGreater(diff_time, sleep_time_secs * 3)
|
self.assertGreater(diff_time, sleep_time_secs * 3)
|
||||||
|
|
||||||
|
# Wait for the pending tasks to complete.
|
||||||
|
await asyncio.gather(*pending)
|
||||||
|
|
||||||
async def test_task_cancel_timeout(self):
|
async def test_task_cancel_timeout(self):
|
||||||
class CancelFilter(FrameProcessor):
|
class CancelFilter(FrameProcessor):
|
||||||
def __init__(self, **kwargs):
|
def __init__(self, **kwargs):
|
||||||
|
|||||||
337
uv.lock
generated
337
uv.lock
generated
@@ -569,6 +569,30 @@ wheels = [
|
|||||||
{ url = "https://files.pythonhosted.org/packages/39/54/db7a801933dd2537f5376fb8a9e28caff488ef5c2d61f3a8fced55fe6336/blake3-1.0.7-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:d9046bb1e22a8607e1d0d7c3ff47e56e0a197c988502df4bf4d78563f3e9fe2c", size = 553411, upload-time = "2025-09-29T16:40:45.667Z" },
|
{ url = "https://files.pythonhosted.org/packages/39/54/db7a801933dd2537f5376fb8a9e28caff488ef5c2d61f3a8fced55fe6336/blake3-1.0.7-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:d9046bb1e22a8607e1d0d7c3ff47e56e0a197c988502df4bf4d78563f3e9fe2c", size = 553411, upload-time = "2025-09-29T16:40:45.667Z" },
|
||||||
{ url = "https://files.pythonhosted.org/packages/2c/08/949cf68d16d1f731d502968bb1486e1a4bf7ef032c38fbc2ef26a2353494/blake3-1.0.7-cp313-cp313t-win32.whl", hash = "sha256:bd2f638bcc00fc09ce985ea3c642d45940e1eda198ab1f4b90cfdecbebbc9315", size = 227049, upload-time = "2025-09-29T16:40:47.446Z" },
|
{ url = "https://files.pythonhosted.org/packages/2c/08/949cf68d16d1f731d502968bb1486e1a4bf7ef032c38fbc2ef26a2353494/blake3-1.0.7-cp313-cp313t-win32.whl", hash = "sha256:bd2f638bcc00fc09ce985ea3c642d45940e1eda198ab1f4b90cfdecbebbc9315", size = 227049, upload-time = "2025-09-29T16:40:47.446Z" },
|
||||||
{ url = "https://files.pythonhosted.org/packages/f2/ae/6783a5ca6235024e00a1e92ab6ca2cd855f4c61c763cf8d6d643846d110c/blake3-1.0.7-cp313-cp313t-win_amd64.whl", hash = "sha256:cb3aa1db14231c2ef0ec5acd805505ce128c39ffa510deb3384eed96fe4addcb", size = 214101, upload-time = "2025-09-29T16:40:48.656Z" },
|
{ url = "https://files.pythonhosted.org/packages/f2/ae/6783a5ca6235024e00a1e92ab6ca2cd855f4c61c763cf8d6d643846d110c/blake3-1.0.7-cp313-cp313t-win_amd64.whl", hash = "sha256:cb3aa1db14231c2ef0ec5acd805505ce128c39ffa510deb3384eed96fe4addcb", size = 214101, upload-time = "2025-09-29T16:40:48.656Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/32/aa/99b4b6c22972b9a854f77d97846a717448a77d079e4bd38e46a3f8ecea76/blake3-1.0.7-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:f7db997205aa420d59fb5639346e40beafb9c09252e2ec6efedca8f230f7520c", size = 346664, upload-time = "2025-10-11T18:02:54.609Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/f9/44/e98bc5450be415a335a191b154e299e335046d11fe9514d93961902b7aed/blake3-1.0.7-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:19afec6e276f3bc154541248d92b1ecb198af2ee920025f7ce521028f9a69d8b", size = 324576, upload-time = "2025-10-11T18:02:57.062Z" },
|
||||||
|
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[[package]]
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[[package]]
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name = "pycairo"
|
name = "pycairo"
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version = "1.28.0"
|
version = "1.28.0"
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@@ -7528,7 +7451,7 @@ wheels = [
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[[package]]
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[[package]]
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name = "vllm"
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name = "vllm"
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version = "0.9.1"
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source = { registry = "https://pypi.org/simple" }
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{ name = "aiohttp" },
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{ name = "aiohttp" },
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@@ -7552,6 +7475,10 @@ dependencies = [
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|
{ name = "numpy" },
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{ name = "openai" },
|
{ name = "openai" },
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{ name = "opencv-python-headless" },
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{ name = "opencv-python-headless" },
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|
{ name = "opentelemetry-api" },
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|
{ name = "opentelemetry-exporter-otlp" },
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|
{ name = "opentelemetry-sdk" },
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|
{ name = "opentelemetry-semantic-conventions-ai" },
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{ name = "outlines" },
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{ name = "partial-json-parser" },
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{ name = "pillow" },
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@@ -7560,7 +7487,6 @@ dependencies = [
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|
{ name = "psutil" },
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{ name = "py-cpuinfo" },
|
{ name = "py-cpuinfo" },
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{ name = "pybase64" },
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{ name = "pydantic" },
|
{ name = "pydantic" },
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{ name = "python-json-logger" },
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{ name = "python-json-logger" },
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{ name = "pyyaml" },
|
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@@ -7583,11 +7509,11 @@ dependencies = [
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|
{ name = "typing-extensions" },
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{ name = "watchfiles" },
|
{ name = "watchfiles" },
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{ name = "xformers", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
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{ name = "xgrammar", marker = "platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'x86_64'" },
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wheels = [
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[[package]]
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@@ -7897,7 +7823,6 @@ name = "xgrammar"
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|
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{ name = "ninja" },
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{ name = "pydantic" },
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{ name = "pydantic" },
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{ name = "sentencepiece" },
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Reference in New Issue
Block a user