From 05d53bc66fcde440c5c24574a4788e1c157e1ca1 Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Fri, 28 Mar 2025 13:28:00 -0400 Subject: [PATCH 01/33] Refactor GladiaSTTService; add support for additional params --- CHANGELOG.md | 37 +++-- src/pipecat/services/gladia.py | 290 +++++++++++++++++++++++++++++---- 2 files changed, 282 insertions(+), 45 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 695586744..1d6cb6cbf 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -29,6 +29,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - **voice-agent**: A minimal example of creating a voice agent with `SmallWebRTCTransport`. +- `GladiaSTTService` now have comprehensive support for the latest API config + options, including model, language detection, preprocessing, custom + vocabulary, custom spelling, translation, and message filtering options. + - Added `SmallWebRTCTransport`, a new P2P WebRTC transport. - Created two examples in `p2p-webrtc`: @@ -52,20 +56,16 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Pipecat services have been reorganized into packages. Each package can have one or more of the following modules (in the future new module names might be needed) depending on the services implemented: - - image: for image generation services - - llm: for LLM services - - memory: for memory services - - stt: for Speech-To-Text services - - tts: for Text-To-Speech services - - video: for video generation services - - vision: for video recognition services -### Deprecated + - image: for image generation services + - llm: for LLM services + - memory: for memory services + - stt: for Speech-To-Text services + - tts: for Text-To-Speech services + - video: for video generation services + - vision: for video recognition services -- All Pipecat services imports have been deprecated and a warning will be shown - when using the old import. The new import should be - `pipecat.services.[service].[image,llm,memory,stt,tts,video,vision]`. For - example, `from pipecat.services.openai.llm import OpenAILLMService`. +- `GladiaSTTService` now uses Gladia's default values. ### Fixed @@ -75,6 +75,19 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed an issue where `GoogleTTSService` was emitting two `TTSStoppedFrames`. +### Deprecated + +- All Pipecat services imports have been deprecated and a warning will be shown + when using the old import. The new import should be + `pipecat.services.[service].[image,llm,memory,stt,tts,video,vision]`. For + example, `from pipecat.services.openai.llm import OpenAILLMService`. + +- Deprecated the `language` parameter in `GladiaSTTService.InputParams` in + favor of `language_config`, which better aligns with Gladia's API. + +- Deprecated using `GladiaSTTService.InputParams` directly. Use the new + `GladiaInputParams` class instead. + ### Other - Added foundational example `37-mem0.py` demonstrating how to use the diff --git a/src/pipecat/services/gladia.py b/src/pipecat/services/gladia.py index 09bcd7aa3..73c36b74b 100644 --- a/src/pipecat/services/gladia.py +++ b/src/pipecat/services/gladia.py @@ -6,7 +6,8 @@ import base64 import json -from typing import AsyncGenerator, Optional +import warnings +from typing import Any, AsyncGenerator, Dict, List, Optional, Union import aiohttp from loguru import logger @@ -35,6 +36,14 @@ except ModuleNotFoundError as e: def language_to_gladia_language(language: Language) -> Optional[str]: + """Convert a Language enum to Gladia's language code format. + + Args: + language: The Language enum value to convert + + Returns: + The Gladia language code string or None if not supported + """ BASE_LANGUAGES = { Language.AF: "af", Language.AM: "am", @@ -129,14 +138,172 @@ def language_to_gladia_language(language: Language) -> Optional[str]: return result +# Configurations supported by Gladia +# Refer to the docs for more information: +# https://docs.gladia.io/api-reference/v2/live/init + + +class LanguageConfig(BaseModel): + """Configuration for language detection and handling. + + Attributes: + languages: List of language codes to use for transcription + code_switching: Whether to auto-detect language changes during transcription + """ + + languages: Optional[List[str]] = None + code_switching: Optional[bool] = None + + +class PreProcessingConfig(BaseModel): + """Configuration for audio pre-processing options. + + Attributes: + audio_enhancer: Whether to apply audio enhancement + speech_threshold: Sensitivity for speech detection (0-1) + """ + + audio_enhancer: Optional[bool] = None + speech_threshold: Optional[float] = None + + +class CustomVocabularyItem(BaseModel): + """Represents a custom vocabulary item with an intensity value. + + Attributes: + value: The vocabulary word or phrase + intensity: The bias intensity for this vocabulary item (0-1) + """ + + value: str + intensity: float + + +class CustomVocabularyConfig(BaseModel): + """Configuration for custom vocabulary. + + Attributes: + vocabulary: List of words/phrases or CustomVocabularyItem objects + default_intensity: Default intensity for simple string vocabulary items + """ + + vocabulary: Optional[List[Union[str, CustomVocabularyItem]]] = None + default_intensity: Optional[float] = None + + +class CustomSpellingConfig(BaseModel): + """Configuration for custom spelling rules. + + Attributes: + spelling_dictionary: Mapping of correct spellings to phonetic variations + """ + + spelling_dictionary: Optional[Dict[str, List[str]]] = None + + +class TranslationConfig(BaseModel): + """Configuration for real-time translation. + + Attributes: + target_languages: List of target language codes for translation + model: Translation model to use ("base" or "enhanced") + match_original_utterances: Whether to align translations with original utterances + """ + + target_languages: Optional[List[str]] = None + model: Optional[str] = None + match_original_utterances: Optional[bool] = None + + +class RealtimeProcessingConfig(BaseModel): + """Configuration for real-time processing features. + + Attributes: + words_accurate_timestamps: Whether to provide per-word timestamps + custom_vocabulary: Whether to enable custom vocabulary + custom_vocabulary_config: Custom vocabulary configuration + custom_spelling: Whether to enable custom spelling + custom_spelling_config: Custom spelling configuration + translation: Whether to enable translation + translation_config: Translation configuration + named_entity_recognition: Whether to enable named entity recognition + sentiment_analysis: Whether to enable sentiment analysis + """ + + words_accurate_timestamps: Optional[bool] = None + custom_vocabulary: Optional[bool] = None + custom_vocabulary_config: Optional[CustomVocabularyConfig] = None + custom_spelling: Optional[bool] = None + custom_spelling_config: Optional[CustomSpellingConfig] = None + translation: Optional[bool] = None + translation_config: Optional[TranslationConfig] = None + named_entity_recognition: Optional[bool] = None + sentiment_analysis: Optional[bool] = None + + +class MessagesConfig(BaseModel): + """Configuration for controlling which message types are sent via WebSocket. + + Attributes: + receive_partial_transcripts: Whether to receive intermediate transcription results + receive_final_transcripts: Whether to receive final transcription results + receive_speech_events: Whether to receive speech begin/end events + receive_pre_processing_events: Whether to receive pre-processing events + receive_realtime_processing_events: Whether to receive real-time processing events + receive_post_processing_events: Whether to receive post-processing events + receive_acknowledgments: Whether to receive acknowledgment messages + receive_errors: Whether to receive error messages + receive_lifecycle_events: Whether to receive lifecycle events + """ + + receive_partial_transcripts: Optional[bool] = None + receive_final_transcripts: Optional[bool] = None + receive_speech_events: Optional[bool] = None + receive_pre_processing_events: Optional[bool] = None + receive_realtime_processing_events: Optional[bool] = None + receive_post_processing_events: Optional[bool] = None + receive_acknowledgments: Optional[bool] = None + receive_errors: Optional[bool] = None + receive_lifecycle_events: Optional[bool] = None + + class GladiaSTTService(STTService): + """Speech-to-Text service using Gladia's API. + + This service connects to Gladia's WebSocket API for real-time transcription + with support for multiple languages, custom vocabulary, and various processing options. + + For complete API documentation, see: https://docs.gladia.io/api-reference/v2/live/init + """ + class InputParams(BaseModel): - language: Optional[Language] = Language.EN - endpointing: Optional[float] = 0.2 - maximum_duration_without_endpointing: Optional[int] = 10 - audio_enhancer: Optional[bool] = None - words_accurate_timestamps: Optional[bool] = None - speech_threshold: Optional[float] = 0.99 + """Configuration parameters for the Gladia STT service. + + Attributes: + encoding: Audio encoding format + bit_depth: Audio bit depth + channels: Number of audio channels + custom_metadata: Additional metadata to include with requests + endpointing: Silence duration in seconds to mark end of speech + maximum_duration_without_endpointing: Maximum utterance duration without silence + language: DEPRECATED - Use language_config instead + language_config: Detailed language configuration + pre_processing: Audio pre-processing options + realtime_processing: Real-time processing features + messages_config: WebSocket message filtering options + """ + + encoding: Optional[str] = "wav/pcm" + bit_depth: Optional[int] = 16 + channels: Optional[int] = 1 + custom_metadata: Optional[Dict[str, Any]] = None + endpointing: Optional[float] = None + maximum_duration_without_endpointing: Optional[int] = None + language: Optional[Language] = None # Deprecated + language_config: Optional[LanguageConfig] = None + pre_processing: Optional[PreProcessingConfig] = None + realtime_processing: Optional[RealtimeProcessingConfig] = None + messages_config: Optional[MessagesConfig] = None def __init__( self, @@ -145,51 +312,105 @@ class GladiaSTTService(STTService): url: str = "https://api.gladia.io/v2/live", confidence: float = 0.5, sample_rate: Optional[int] = None, + model: str = "fast", params: InputParams = InputParams(), **kwargs, ): + """Initialize the Gladia STT service. + + Args: + api_key: Gladia API key + url: Gladia API URL + confidence: Minimum confidence threshold for transcriptions + sample_rate: Audio sample rate in Hz + model: Model to use ("fast" or "accurate") + params: Additional configuration parameters + **kwargs: Additional arguments passed to the STTService + """ super().__init__(sample_rate=sample_rate, **kwargs) + + # Warn about deprecated language parameter if it's used + if params.language is not None: + warnings.warn( + "The 'language' parameter is deprecated and will be removed in a future version. " + "Use 'language_config' instead.", + DeprecationWarning, + stacklevel=2, + ) + self._api_key = api_key self._url = url - self._settings = { - "encoding": "wav/pcm", - "bit_depth": 16, - "sample_rate": 0, - "channels": 1, - "language_config": { - "languages": [self.language_to_service_language(params.language)] - if params.language - else [], - "code_switching": False, - }, - "endpointing": params.endpointing, - "maximum_duration_without_endpointing": params.maximum_duration_without_endpointing, - "pre_processing": { - "audio_enhancer": params.audio_enhancer, - "speech_threshold": params.speech_threshold, - }, - "realtime_processing": { - "words_accurate_timestamps": params.words_accurate_timestamps, - }, - } + self.set_model_name(model) self._confidence = confidence + self._params = params self._websocket = None self._receive_task = None def language_to_service_language(self, language: Language) -> Optional[str]: + """Convert pipecat Language enum to Gladia's language code.""" return language_to_gladia_language(language) + def _prepare_settings(self) -> Dict[str, Any]: + settings = { + "encoding": self._params.encoding or "wav/pcm", + "bit_depth": self._params.bit_depth or 16, + "sample_rate": self.sample_rate, + "channels": self._params.channels or 1, + "model": self._model_name, + } + + # Add custom_metadata if provided + if self._params.custom_metadata: + settings["custom_metadata"] = self._params.custom_metadata + + # Add endpointing parameters if provided + if self._params.endpointing is not None: + settings["endpointing"] = self._params.endpointing + if self._params.maximum_duration_without_endpointing is not None: + settings["maximum_duration_without_endpointing"] = ( + self._params.maximum_duration_without_endpointing + ) + + # Add language configuration (prioritize language_config over deprecated language) + if self._params.language_config: + settings["language_config"] = self._params.language_config.dict(exclude_none=True) + elif self._params.language: # Backward compatibility for deprecated parameter + language_code = self.language_to_service_language(self._params.language) + if language_code: + settings["language_config"] = { + "languages": [language_code], + "code_switching": False, + } + + # Add pre_processing configuration if provided + if self._params.pre_processing: + settings["pre_processing"] = self._params.pre_processing.dict(exclude_none=True) + + # Add realtime_processing configuration if provided + if self._params.realtime_processing: + settings["realtime_processing"] = self._params.realtime_processing.dict( + exclude_none=True + ) + + # Add messages_config if provided + if self._params.messages_config: + settings["messages_config"] = self._params.messages_config.dict(exclude_none=True) + + return settings + async def start(self, frame: StartFrame): + """Start the Gladia STT websocket connection.""" await super().start(frame) if self._websocket: return - self._settings["sample_rate"] = self.sample_rate - response = await self._setup_gladia() + settings = self._prepare_settings() + response = await self._setup_gladia(settings) self._websocket = await websockets.connect(response["url"]) if not self._receive_task: self._receive_task = self.create_task(self._receive_task_handler()) async def stop(self, frame: EndFrame): + """Stop the Gladia STT websocket connection.""" await super().stop(frame) await self._send_stop_recording() if self._websocket: @@ -200,6 +421,7 @@ class GladiaSTTService(STTService): self._receive_task = None async def cancel(self, frame: CancelFrame): + """Cancel the Gladia STT websocket connection.""" await super().cancel(frame) await self._websocket.close() if self._receive_task: @@ -207,17 +429,18 @@ class GladiaSTTService(STTService): self._receive_task = None async def run_stt(self, audio: bytes) -> AsyncGenerator[Frame, None]: + """Run speech-to-text on audio data.""" await self.start_processing_metrics() await self._send_audio(audio) await self.stop_processing_metrics() yield None - async def _setup_gladia(self): + async def _setup_gladia(self, settings: Dict[str, Any]): async with aiohttp.ClientSession() as session: async with session.post( self._url, headers={"X-Gladia-Key": self._api_key, "Content-Type": "application/json"}, - json=self._settings, + json=settings, ) as response: if response.ok: return await response.json() @@ -233,7 +456,8 @@ class GladiaSTTService(STTService): await self._websocket.send(json.dumps(message)) async def _send_stop_recording(self): - await self._websocket.send(json.dumps({"type": "stop_recording"})) + if self._websocket and not self._websocket.closed: + await self._websocket.send(json.dumps({"type": "stop_recording"})) async def _receive_task_handler(self): async for message in self._websocket: From 8a12470efd4daec5bb624fa882cb31662971192b Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Fri, 28 Mar 2025 13:33:15 -0400 Subject: [PATCH 02/33] Reorganize into a directory --- .../foundational/07j-interruptible-gladia.py | 13 +- src/pipecat/services/gladia/__init__.py | 13 + src/pipecat/services/gladia/config.py | 165 +++++++++++++ .../services/{gladia.py => gladia/stt.py} | 228 ++++-------------- 4 files changed, 235 insertions(+), 184 deletions(-) create mode 100644 src/pipecat/services/gladia/__init__.py create mode 100644 src/pipecat/services/gladia/config.py rename src/pipecat/services/{gladia.py => gladia/stt.py} (56%) diff --git a/examples/foundational/07j-interruptible-gladia.py b/examples/foundational/07j-interruptible-gladia.py index 7dcd44a7a..2c7d86a79 100644 --- a/examples/foundational/07j-interruptible-gladia.py +++ b/examples/foundational/07j-interruptible-gladia.py @@ -18,9 +18,11 @@ from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.task import PipelineParams, PipelineTask from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext -from pipecat.services.cartesia import CartesiaTTSService -from pipecat.services.gladia import GladiaSTTService -from pipecat.services.openai import OpenAILLMService +from pipecat.services.cartesia.tts import CartesiaTTSService +from pipecat.services.gladia.config import GladiaInputParams, LanguageConfig +from pipecat.services.gladia.stt import GladiaSTTService +from pipecat.services.openai.llm import OpenAILLMService +from pipecat.transcriptions.language import Language from pipecat.transports.services.daily import DailyParams, DailyTransport load_dotenv(override=True) @@ -47,6 +49,11 @@ async def main(): stt = GladiaSTTService( api_key=os.getenv("GLADIA_API_KEY"), + params=GladiaInputParams( + language_config=LanguageConfig( + languages=[Language.EN], + ) + ), ) tts = CartesiaTTSService( diff --git a/src/pipecat/services/gladia/__init__.py b/src/pipecat/services/gladia/__init__.py new file mode 100644 index 000000000..916988e42 --- /dev/null +++ b/src/pipecat/services/gladia/__init__.py @@ -0,0 +1,13 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +import sys + +from pipecat.services import DeprecatedModuleProxy + +from .stt import * + +sys.modules[__name__] = DeprecatedModuleProxy(globals(), "gladia", "gladia.stt") diff --git a/src/pipecat/services/gladia/config.py b/src/pipecat/services/gladia/config.py new file mode 100644 index 000000000..6014dd576 --- /dev/null +++ b/src/pipecat/services/gladia/config.py @@ -0,0 +1,165 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +from typing import Any, Dict, List, Optional, Union + +from pydantic import BaseModel + +from pipecat.transcriptions.language import Language + + +class LanguageConfig(BaseModel): + """Configuration for language detection and handling. + + Attributes: + languages: List of language codes to use for transcription + code_switching: Whether to auto-detect language changes during transcription + """ + + languages: Optional[List[str]] = None + code_switching: Optional[bool] = None + + +class PreProcessingConfig(BaseModel): + """Configuration for audio pre-processing options. + + Attributes: + audio_enhancer: Whether to apply audio enhancement + speech_threshold: Sensitivity for speech detection (0-1) + """ + + audio_enhancer: Optional[bool] = None + speech_threshold: Optional[float] = None + + +class CustomVocabularyItem(BaseModel): + """Represents a custom vocabulary item with an intensity value. + + Attributes: + value: The vocabulary word or phrase + intensity: The bias intensity for this vocabulary item (0-1) + """ + + value: str + intensity: float + + +class CustomVocabularyConfig(BaseModel): + """Configuration for custom vocabulary. + + Attributes: + vocabulary: List of words/phrases or CustomVocabularyItem objects + default_intensity: Default intensity for simple string vocabulary items + """ + + vocabulary: Optional[List[Union[str, CustomVocabularyItem]]] = None + default_intensity: Optional[float] = None + + +class CustomSpellingConfig(BaseModel): + """Configuration for custom spelling rules. + + Attributes: + spelling_dictionary: Mapping of correct spellings to phonetic variations + """ + + spelling_dictionary: Optional[Dict[str, List[str]]] = None + + +class TranslationConfig(BaseModel): + """Configuration for real-time translation. + + Attributes: + target_languages: List of target language codes for translation + model: Translation model to use ("base" or "enhanced") + match_original_utterances: Whether to align translations with original utterances + """ + + target_languages: Optional[List[str]] = None + model: Optional[str] = None + match_original_utterances: Optional[bool] = None + + +class RealtimeProcessingConfig(BaseModel): + """Configuration for real-time processing features. + + Attributes: + words_accurate_timestamps: Whether to provide per-word timestamps + custom_vocabulary: Whether to enable custom vocabulary + custom_vocabulary_config: Custom vocabulary configuration + custom_spelling: Whether to enable custom spelling + custom_spelling_config: Custom spelling configuration + translation: Whether to enable translation + translation_config: Translation configuration + named_entity_recognition: Whether to enable named entity recognition + sentiment_analysis: Whether to enable sentiment analysis + """ + + words_accurate_timestamps: Optional[bool] = None + custom_vocabulary: Optional[bool] = None + custom_vocabulary_config: Optional[CustomVocabularyConfig] = None + custom_spelling: Optional[bool] = None + custom_spelling_config: Optional[CustomSpellingConfig] = None + translation: Optional[bool] = None + translation_config: Optional[TranslationConfig] = None + named_entity_recognition: Optional[bool] = None + sentiment_analysis: Optional[bool] = None + + +class MessagesConfig(BaseModel): + """Configuration for controlling which message types are sent via WebSocket. + + Attributes: + receive_partial_transcripts: Whether to receive intermediate transcription results + receive_final_transcripts: Whether to receive final transcription results + receive_speech_events: Whether to receive speech begin/end events + receive_pre_processing_events: Whether to receive pre-processing events + receive_realtime_processing_events: Whether to receive real-time processing events + receive_post_processing_events: Whether to receive post-processing events + receive_acknowledgments: Whether to receive acknowledgment messages + receive_errors: Whether to receive error messages + receive_lifecycle_events: Whether to receive lifecycle events + """ + + receive_partial_transcripts: Optional[bool] = None + receive_final_transcripts: Optional[bool] = None + receive_speech_events: Optional[bool] = None + receive_pre_processing_events: Optional[bool] = None + receive_realtime_processing_events: Optional[bool] = None + receive_post_processing_events: Optional[bool] = None + receive_acknowledgments: Optional[bool] = None + receive_errors: Optional[bool] = None + receive_lifecycle_events: Optional[bool] = None + + +class GladiaInputParams(BaseModel): + """Configuration parameters for the Gladia STT service. + + Attributes: + encoding: Audio encoding format + bit_depth: Audio bit depth + channels: Number of audio channels + custom_metadata: Additional metadata to include with requests + endpointing: Silence duration in seconds to mark end of speech + maximum_duration_without_endpointing: Maximum utterance duration without silence + language: DEPRECATED - Use language_config instead + language_config: Detailed language configuration + pre_processing: Audio pre-processing options + realtime_processing: Real-time processing features + messages_config: WebSocket message filtering options + """ + + encoding: Optional[str] = "wav/pcm" + bit_depth: Optional[int] = 16 + channels: Optional[int] = 1 + custom_metadata: Optional[Dict[str, Any]] = None + endpointing: Optional[float] = None + maximum_duration_without_endpointing: Optional[int] = 10 + language: Optional[Language] = None # Deprecated + language_config: Optional[LanguageConfig] = None + pre_processing: Optional[PreProcessingConfig] = None + realtime_processing: Optional[RealtimeProcessingConfig] = None + messages_config: Optional[MessagesConfig] = None diff --git a/src/pipecat/services/gladia.py b/src/pipecat/services/gladia/stt.py similarity index 56% rename from src/pipecat/services/gladia.py rename to src/pipecat/services/gladia/stt.py index 73c36b74b..87c1c649d 100644 --- a/src/pipecat/services/gladia.py +++ b/src/pipecat/services/gladia/stt.py @@ -7,11 +7,10 @@ import base64 import json import warnings -from typing import Any, AsyncGenerator, Dict, List, Optional, Union +from typing import Any, AsyncGenerator, Dict, Optional import aiohttp from loguru import logger -from pydantic import BaseModel from pipecat.frames.frames import ( CancelFrame, @@ -22,6 +21,7 @@ from pipecat.frames.frames import ( TranscriptionFrame, ) from pipecat.services.ai_services import STTService +from pipecat.services.gladia.config import GladiaInputParams from pipecat.transcriptions.language import Language from pipecat.utils.time import time_now_iso8601 @@ -29,9 +29,7 @@ try: import websockets except ModuleNotFoundError as e: logger.error(f"Exception: {e}") - logger.error( - "In order to use Gladia, you need to `pip install pipecat-ai[gladia]`. Also, set `GLADIA_API_KEY` environment variable." - ) + logger.error("In order to use Gladia, you need to `pip install pipecat-ai[gladia]`.") raise Exception(f"Missing module: {e}") @@ -138,133 +136,18 @@ def language_to_gladia_language(language: Language) -> Optional[str]: return result -# Configurations supported by Gladia -# Refer to the docs for more information: -# https://docs.gladia.io/api-reference/v2/live/init +# Deprecation warning for nested InputParams +class _InputParamsDescriptor: + """Descriptor for backward compatibility with deprecation warning.""" - -class LanguageConfig(BaseModel): - """Configuration for language detection and handling. - - Attributes: - languages: List of language codes to use for transcription - code_switching: Whether to auto-detect language changes during transcription - """ - - languages: Optional[List[str]] = None - code_switching: Optional[bool] = None - - -class PreProcessingConfig(BaseModel): - """Configuration for audio pre-processing options. - - Attributes: - audio_enhancer: Whether to apply audio enhancement - speech_threshold: Sensitivity for speech detection (0-1) - """ - - audio_enhancer: Optional[bool] = None - speech_threshold: Optional[float] = None - - -class CustomVocabularyItem(BaseModel): - """Represents a custom vocabulary item with an intensity value. - - Attributes: - value: The vocabulary word or phrase - intensity: The bias intensity for this vocabulary item (0-1) - """ - - value: str - intensity: float - - -class CustomVocabularyConfig(BaseModel): - """Configuration for custom vocabulary. - - Attributes: - vocabulary: List of words/phrases or CustomVocabularyItem objects - default_intensity: Default intensity for simple string vocabulary items - """ - - vocabulary: Optional[List[Union[str, CustomVocabularyItem]]] = None - default_intensity: Optional[float] = None - - -class CustomSpellingConfig(BaseModel): - """Configuration for custom spelling rules. - - Attributes: - spelling_dictionary: Mapping of correct spellings to phonetic variations - """ - - spelling_dictionary: Optional[Dict[str, List[str]]] = None - - -class TranslationConfig(BaseModel): - """Configuration for real-time translation. - - Attributes: - target_languages: List of target language codes for translation - model: Translation model to use ("base" or "enhanced") - match_original_utterances: Whether to align translations with original utterances - """ - - target_languages: Optional[List[str]] = None - model: Optional[str] = None - match_original_utterances: Optional[bool] = None - - -class RealtimeProcessingConfig(BaseModel): - """Configuration for real-time processing features. - - Attributes: - words_accurate_timestamps: Whether to provide per-word timestamps - custom_vocabulary: Whether to enable custom vocabulary - custom_vocabulary_config: Custom vocabulary configuration - custom_spelling: Whether to enable custom spelling - custom_spelling_config: Custom spelling configuration - translation: Whether to enable translation - translation_config: Translation configuration - named_entity_recognition: Whether to enable named entity recognition - sentiment_analysis: Whether to enable sentiment analysis - """ - - words_accurate_timestamps: Optional[bool] = None - custom_vocabulary: Optional[bool] = None - custom_vocabulary_config: Optional[CustomVocabularyConfig] = None - custom_spelling: Optional[bool] = None - custom_spelling_config: Optional[CustomSpellingConfig] = None - translation: Optional[bool] = None - translation_config: Optional[TranslationConfig] = None - named_entity_recognition: Optional[bool] = None - sentiment_analysis: Optional[bool] = None - - -class MessagesConfig(BaseModel): - """Configuration for controlling which message types are sent via WebSocket. - - Attributes: - receive_partial_transcripts: Whether to receive intermediate transcription results - receive_final_transcripts: Whether to receive final transcription results - receive_speech_events: Whether to receive speech begin/end events - receive_pre_processing_events: Whether to receive pre-processing events - receive_realtime_processing_events: Whether to receive real-time processing events - receive_post_processing_events: Whether to receive post-processing events - receive_acknowledgments: Whether to receive acknowledgment messages - receive_errors: Whether to receive error messages - receive_lifecycle_events: Whether to receive lifecycle events - """ - - receive_partial_transcripts: Optional[bool] = None - receive_final_transcripts: Optional[bool] = None - receive_speech_events: Optional[bool] = None - receive_pre_processing_events: Optional[bool] = None - receive_realtime_processing_events: Optional[bool] = None - receive_post_processing_events: Optional[bool] = None - receive_acknowledgments: Optional[bool] = None - receive_errors: Optional[bool] = None - receive_lifecycle_events: Optional[bool] = None + def __get__(self, obj, objtype=None): + warnings.warn( + "GladiaSTTService.InputParams is deprecated and will be removed in a future version. " + "Import and use GladiaInputParams directly instead.", + DeprecationWarning, + stacklevel=2, + ) + return GladiaInputParams class GladiaSTTService(STTService): @@ -276,34 +159,8 @@ class GladiaSTTService(STTService): For complete API documentation, see: https://docs.gladia.io/api-reference/v2/live/init """ - class InputParams(BaseModel): - """Configuration parameters for the Gladia STT service. - - Attributes: - encoding: Audio encoding format - bit_depth: Audio bit depth - channels: Number of audio channels - custom_metadata: Additional metadata to include with requests - endpointing: Silence duration in seconds to mark end of speech - maximum_duration_without_endpointing: Maximum utterance duration without silence - language: DEPRECATED - Use language_config instead - language_config: Detailed language configuration - pre_processing: Audio pre-processing options - realtime_processing: Real-time processing features - messages_config: WebSocket message filtering options - """ - - encoding: Optional[str] = "wav/pcm" - bit_depth: Optional[int] = 16 - channels: Optional[int] = 1 - custom_metadata: Optional[Dict[str, Any]] = None - endpointing: Optional[float] = None - maximum_duration_without_endpointing: Optional[int] = None - language: Optional[Language] = None # Deprecated - language_config: Optional[LanguageConfig] = None - pre_processing: Optional[PreProcessingConfig] = None - realtime_processing: Optional[RealtimeProcessingConfig] = None - messages_config: Optional[MessagesConfig] = None + # Maintain backward compatibility + InputParams = _InputParamsDescriptor() def __init__( self, @@ -313,7 +170,7 @@ class GladiaSTTService(STTService): confidence: float = 0.5, sample_rate: Optional[int] = None, model: str = "fast", - params: InputParams = InputParams(), + params: GladiaInputParams = GladiaInputParams(), **kwargs, ): """Initialize the Gladia STT service. @@ -373,7 +230,7 @@ class GladiaSTTService(STTService): # Add language configuration (prioritize language_config over deprecated language) if self._params.language_config: - settings["language_config"] = self._params.language_config.dict(exclude_none=True) + settings["language_config"] = self._params.language_config.model_dump(exclude_none=True) elif self._params.language: # Backward compatibility for deprecated parameter language_code = self.language_to_service_language(self._params.language) if language_code: @@ -384,17 +241,17 @@ class GladiaSTTService(STTService): # Add pre_processing configuration if provided if self._params.pre_processing: - settings["pre_processing"] = self._params.pre_processing.dict(exclude_none=True) + settings["pre_processing"] = self._params.pre_processing.model_dump(exclude_none=True) # Add realtime_processing configuration if provided if self._params.realtime_processing: - settings["realtime_processing"] = self._params.realtime_processing.dict( + settings["realtime_processing"] = self._params.realtime_processing.model_dump( exclude_none=True ) # Add messages_config if provided if self._params.messages_config: - settings["messages_config"] = self._params.messages_config.dict(exclude_none=True) + settings["messages_config"] = self._params.messages_config.model_dump(exclude_none=True) return settings @@ -445,10 +302,13 @@ class GladiaSTTService(STTService): if response.ok: return await response.json() else: + error_text = await response.text() logger.error( - f"Gladia error: {response.status}: {response.text or response.reason}" + f"Gladia error: {response.status}: {error_text or response.reason}" + ) + raise Exception( + f"Failed to initialize Gladia session: {response.status} - {error_text}" ) - raise Exception(f"Failed to initialize Gladia session: {response.status}") async def _send_audio(self, audio: bytes): data = base64.b64encode(audio).decode("utf-8") @@ -460,18 +320,24 @@ class GladiaSTTService(STTService): await self._websocket.send(json.dumps({"type": "stop_recording"})) async def _receive_task_handler(self): - async for message in self._websocket: - content = json.loads(message) - if content["type"] == "transcript": - utterance = content["data"]["utterance"] - confidence = utterance.get("confidence", 0) - transcript = utterance["text"] - if confidence >= self._confidence: - if content["data"]["is_final"]: - await self.push_frame( - TranscriptionFrame(transcript, "", time_now_iso8601()) - ) - else: - await self.push_frame( - InterimTranscriptionFrame(transcript, "", time_now_iso8601()) - ) + try: + async for message in self._websocket: + content = json.loads(message) + if content["type"] == "transcript": + utterance = content["data"]["utterance"] + confidence = utterance.get("confidence", 0) + transcript = utterance["text"] + if confidence >= self._confidence: + if content["data"]["is_final"]: + await self.push_frame( + TranscriptionFrame(transcript, "", time_now_iso8601()) + ) + else: + await self.push_frame( + InterimTranscriptionFrame(transcript, "", time_now_iso8601()) + ) + except websockets.exceptions.ConnectionClosed: + # Expected when closing the connection + pass + except Exception as e: + logger.error(f"Error in Gladia WebSocket handler: {e}") From 70e28a05470de90648019401a9aea63364a7f992 Mon Sep 17 00:00:00 2001 From: Filipi Fuchter Date: Mon, 31 Mar 2025 13:12:20 -0300 Subject: [PATCH 03/33] Adding support to yuvj420p which is the format that we receive from mobile iOS. --- .../transports/network/small_webrtc.py | 46 +++++++++++++------ 1 file changed, 33 insertions(+), 13 deletions(-) diff --git a/src/pipecat/transports/network/small_webrtc.py b/src/pipecat/transports/network/small_webrtc.py index 987c412fd..cfea91441 100644 --- a/src/pipecat/transports/network/small_webrtc.py +++ b/src/pipecat/transports/network/small_webrtc.py @@ -138,6 +138,14 @@ class RawVideoTrack(VideoStreamTrack): class SmallWebRTCClient: + + FORMAT_CONVERSIONS = { + "yuv420p": cv2.COLOR_YUV2RGB_I420, + "yuvj420p": cv2.COLOR_YUV2RGB_I420, # OpenCV treats both the same + "nv12": cv2.COLOR_YUV2RGB_NV12, + "gray": cv2.COLOR_GRAY2RGB, + } + def __init__(self, webrtc_connection: SmallWebRTCConnection, callbacks: SmallWebRTCCallbacks): self._webrtc_connection = webrtc_connection self._closing = False @@ -176,6 +184,30 @@ class SmallWebRTCClient: async def on_app_message(connection: SmallWebRTCConnection, message: Any): await self._handle_app_message(message) + def _convert_frame(self, frame_array: np.ndarray, format_name: str) -> np.ndarray: + """ + Convert a given frame to RGB format based on the input format. + + Args: + frame_array (np.ndarray): The input frame. + format_name (str): The format of the input frame. + + Returns: + np.ndarray: The converted RGB frame. + + Raises: + ValueError: If the format is unsupported. + """ + if format_name.startswith("rgb"): # Already in RGB, no conversion needed + return frame_array + + conversion_code = SmallWebRTCClient.FORMAT_CONVERSIONS.get(format_name) + + if conversion_code is None: + raise ValueError(f"Unsupported format: {format_name}") + + return cv2.cvtColor(frame_array, conversion_code) + async def read_video_frame(self): """ Reads a video frame from the given MediaStreamTrack, converts it to RGB, @@ -203,21 +235,9 @@ class SmallWebRTCClient: continue format_name = frame.format.name - # Convert frame to NumPy array in its native format frame_array = frame.to_ndarray(format=format_name) - - # Handle different formats dynamically - if format_name == "yuv420p": - frame_rgb = cv2.cvtColor(frame_array, cv2.COLOR_YUV2RGB_I420) - elif format_name == "nv12": - frame_rgb = cv2.cvtColor(frame_array, cv2.COLOR_YUV2RGB_NV12) - elif format_name == "gray": - frame_rgb = cv2.cvtColor(frame_array, cv2.COLOR_GRAY2RGB) - elif format_name.startswith("rgb"): # Already RGB, no conversion needed - frame_rgb = frame_array - else: - raise ValueError(f"Unsupported format: {format_name}") + frame_rgb = self._convert_frame(frame_array, format_name) image_frame = InputImageRawFrame( image=frame_rgb.tobytes(), From 121e70a029a5a277a2103895a250fd6b7498ae3e Mon Sep 17 00:00:00 2001 From: Filipi Fuchter Date: Mon, 31 Mar 2025 17:11:38 -0300 Subject: [PATCH 04/33] Improvements on the video transform example to work on mobile. --- .../client/typescript/src/style.css | 19 ++++++++++++++----- .../transports/network/small_webrtc.py | 1 - 2 files changed, 14 insertions(+), 6 deletions(-) diff --git a/examples/p2p-webrtc/video-transform/client/typescript/src/style.css b/examples/p2p-webrtc/video-transform/client/typescript/src/style.css index 6be42d2ea..82c97eb7d 100644 --- a/examples/p2p-webrtc/video-transform/client/typescript/src/style.css +++ b/examples/p2p-webrtc/video-transform/client/typescript/src/style.css @@ -32,6 +32,7 @@ select { .status-bar { display: flex; + flex-wrap: wrap; justify-content: space-between; align-items: center; padding: 10px; @@ -69,6 +70,7 @@ button:disabled { padding: 20px; margin-bottom: 20px; display: flex; + flex-wrap: wrap; } .bot-container { @@ -79,8 +81,8 @@ button:disabled { } #bot-video-container { - width: 640px; - height: 360px; + width: 90%; + aspect-ratio: 16 / 9; background-color: #e0e0e0; border-radius: 8px; overflow: hidden; @@ -98,10 +100,18 @@ button:disabled { .debug-panel { background-color: #fff; border-radius: 8px; - padding-left: 20px; width: 50%; } +@media (max-width: 768px) { + .bot-container { + width: 100%; + } + .debug-panel { + width: 100%; + } +} + .debug-panel h3 { margin: 0 0 10px 0; font-size: 16px; @@ -109,10 +119,9 @@ button:disabled { } #debug-log { - height: 500px; + height: 360px; overflow-y: auto; background-color: #f8f8f8; - padding: 10px; border-radius: 4px; font-family: monospace; font-size: 12px; diff --git a/src/pipecat/transports/network/small_webrtc.py b/src/pipecat/transports/network/small_webrtc.py index cfea91441..65df26e73 100644 --- a/src/pipecat/transports/network/small_webrtc.py +++ b/src/pipecat/transports/network/small_webrtc.py @@ -138,7 +138,6 @@ class RawVideoTrack(VideoStreamTrack): class SmallWebRTCClient: - FORMAT_CONVERSIONS = { "yuv420p": cv2.COLOR_YUV2RGB_I420, "yuvj420p": cv2.COLOR_YUV2RGB_I420, # OpenCV treats both the same From 43c255f58a70952cbd4bdf752a6f01a644f64724 Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Mon, 31 Mar 2025 16:43:03 -0400 Subject: [PATCH 05/33] Clarify the mute/unmute log line in STTMuteFilter --- src/pipecat/processors/filters/stt_mute_filter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/pipecat/processors/filters/stt_mute_filter.py b/src/pipecat/processors/filters/stt_mute_filter.py index cce087f22..ae81acc1e 100644 --- a/src/pipecat/processors/filters/stt_mute_filter.py +++ b/src/pipecat/processors/filters/stt_mute_filter.py @@ -108,7 +108,7 @@ class STTMuteFilter(FrameProcessor): async def _handle_mute_state(self, should_mute: bool): """Handles both STT muting and interruption control.""" if should_mute != self.is_muted: - logger.debug(f"STT {'muting' if should_mute else 'unmuting'}") + logger.debug(f"STTMuteFilter {'muting' if should_mute else 'unmuting'}") self._is_muted = should_mute await self.push_frame(STTMuteFrame(mute=should_mute)) From 9eba8f163706e3ed4b67b42601be3c1d0ef22889 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Mon, 31 Mar 2025 13:48:00 -0700 Subject: [PATCH 06/33] services: restructure base AI services into modules --- CHANGELOG.md | 8 + examples/phone-chatbot/bot_daily.py | 2 +- examples/phone-chatbot/bot_daily_gemini.py | 2 +- .../observers/loggers/llm_log_observer.py | 2 +- .../loggers/transcription_log_observer.py | 2 +- src/pipecat/services/__init__.py | 2 +- src/pipecat/services/ai_service.py | 105 ++ src/pipecat/services/ai_services.py | 1129 +---------------- src/pipecat/services/anthropic/llm.py | 2 +- src/pipecat/services/assemblyai/stt.py | 2 +- src/pipecat/services/aws/tts.py | 2 +- src/pipecat/services/azure/image.py | 2 +- src/pipecat/services/azure/stt.py | 2 +- src/pipecat/services/azure/tts.py | 2 +- src/pipecat/services/canonical/metrics.py | 2 +- src/pipecat/services/cartesia/tts.py | 2 +- src/pipecat/services/deepgram/stt.py | 2 +- src/pipecat/services/deepgram/tts.py | 2 +- src/pipecat/services/elevenlabs/tts.py | 2 +- src/pipecat/services/fal/image.py | 2 +- src/pipecat/services/fal/stt.py | 2 +- src/pipecat/services/fish/tts.py | 2 +- .../services/gemini_multimodal_live/gemini.py | 2 +- src/pipecat/services/gladia/stt.py | 2 +- src/pipecat/services/google/image.py | 2 +- src/pipecat/services/google/llm.py | 2 +- src/pipecat/services/google/stt.py | 2 +- src/pipecat/services/google/tts.py | 2 +- src/pipecat/services/groq/tts.py | 2 +- src/pipecat/services/image_service.py | 33 + src/pipecat/services/llm_service.py | 257 ++++ src/pipecat/services/lmnt/tts.py | 2 +- src/pipecat/services/moondream/vision.py | 2 +- src/pipecat/services/neuphonic/tts.py | 2 +- src/pipecat/services/openai/base_llm.py | 2 +- src/pipecat/services/openai/image.py | 2 +- src/pipecat/services/openai/tts.py | 2 +- .../services/openai_realtime_beta/openai.py | 2 +- src/pipecat/services/piper/tts.py | 2 +- src/pipecat/services/playht/tts.py | 2 +- src/pipecat/services/rime/tts.py | 2 +- src/pipecat/services/riva/stt.py | 2 +- src/pipecat/services/riva/tts.py | 2 +- src/pipecat/services/stt_service.py | 171 +++ src/pipecat/services/tavus/video.py | 2 +- src/pipecat/services/tts_service.py | 602 +++++++++ src/pipecat/services/ultravox/stt.py | 2 +- src/pipecat/services/vision_service.py | 34 + src/pipecat/services/whisper/base_stt.py | 2 +- src/pipecat/services/whisper/stt.py | 2 +- src/pipecat/services/xtts/tts.py | 2 +- ...st_integration_unified_function_calling.py | 2 +- 52 files changed, 1267 insertions(+), 1160 deletions(-) create mode 100644 src/pipecat/services/ai_service.py create mode 100644 src/pipecat/services/image_service.py create mode 100644 src/pipecat/services/llm_service.py create mode 100644 src/pipecat/services/stt_service.py create mode 100644 src/pipecat/services/tts_service.py create mode 100644 src/pipecat/services/vision_service.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 1d6cb6cbf..d23e82373 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -65,6 +65,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - video: for video generation services - vision: for video recognition services +- Base classes for AI services have been reorganized into modules. They can now + be found in + `pipecat.services.[ai_service,image_service,llm_service,stt_service,vision_service]`. + - `GladiaSTTService` now uses Gladia's default values. ### Fixed @@ -82,6 +86,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 `pipecat.services.[service].[image,llm,memory,stt,tts,video,vision]`. For example, `from pipecat.services.openai.llm import OpenAILLMService`. +- Import for AI services base classes from `pipecat.services.ai_services` is now + deprecated, use one of + `pipecat.services.[ai_service,image_service,llm_service,stt_service,vision_service]`. + - Deprecated the `language` parameter in `GladiaSTTService.InputParams` in favor of `language_config`, which better aligns with Gladia's API. diff --git a/examples/phone-chatbot/bot_daily.py b/examples/phone-chatbot/bot_daily.py index 6a45212d6..b38b4c4f7 100644 --- a/examples/phone-chatbot/bot_daily.py +++ b/examples/phone-chatbot/bot_daily.py @@ -21,8 +21,8 @@ from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.task import PipelineParams, PipelineTask from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import LLMService from pipecat.services.elevenlabs.tts import ElevenLabsTTSService +from pipecat.services.llm_service import LLMService from pipecat.services.openai.llm import OpenAILLMService from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport diff --git a/examples/phone-chatbot/bot_daily_gemini.py b/examples/phone-chatbot/bot_daily_gemini.py index 69efc01e3..45fd0e7f5 100644 --- a/examples/phone-chatbot/bot_daily_gemini.py +++ b/examples/phone-chatbot/bot_daily_gemini.py @@ -27,10 +27,10 @@ from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.task import PipelineParams, PipelineTask from pipecat.processors.frame_processor import FrameDirection, FrameProcessor -from pipecat.services.ai_services import LLMService from pipecat.services.deepgram.stt import DeepgramSTTService from pipecat.services.elevenlabs.tts import ElevenLabsTTSService from pipecat.services.google.llm import GoogleLLMContext, GoogleLLMService +from pipecat.services.llm_service import LLMService from pipecat.transports.services.daily import ( DailyDialinSettings, DailyParams, diff --git a/src/pipecat/observers/loggers/llm_log_observer.py b/src/pipecat/observers/loggers/llm_log_observer.py index 907dce70b..dd270abf5 100644 --- a/src/pipecat/observers/loggers/llm_log_observer.py +++ b/src/pipecat/observers/loggers/llm_log_observer.py @@ -18,7 +18,7 @@ from pipecat.frames.frames import ( from pipecat.observers.base_observer import BaseObserver from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContextFrame from pipecat.processors.frame_processor import FrameDirection, FrameProcessor -from pipecat.services.ai_services import LLMService +from pipecat.services.llm_service import LLMService class LLMLogObserver(BaseObserver): diff --git a/src/pipecat/observers/loggers/transcription_log_observer.py b/src/pipecat/observers/loggers/transcription_log_observer.py index 630f7ab33..4547ee54f 100644 --- a/src/pipecat/observers/loggers/transcription_log_observer.py +++ b/src/pipecat/observers/loggers/transcription_log_observer.py @@ -13,7 +13,7 @@ from pipecat.frames.frames import ( ) from pipecat.observers.base_observer import BaseObserver from pipecat.processors.frame_processor import FrameDirection, FrameProcessor -from pipecat.services.ai_services import STTService +from pipecat.services.stt_service import STTService class TranscriptionLogObserver(BaseObserver): diff --git a/src/pipecat/services/__init__.py b/src/pipecat/services/__init__.py index a541ecfe7..0df8d028f 100644 --- a/src/pipecat/services/__init__.py +++ b/src/pipecat/services/__init__.py @@ -37,4 +37,4 @@ class DeprecatedModuleProxy: def __getattr__(self, attr): if attr in self._globals: return _warn_deprecated_access(self._globals, attr, self._old, self._new) - raise AttributeError(f"module 'pipecat.{self._old}' has no attribute '{attr}'") + raise AttributeError(f"module 'pipecat.services.{self._old}' has no attribute '{attr}'") diff --git a/src/pipecat/services/ai_service.py b/src/pipecat/services/ai_service.py new file mode 100644 index 000000000..985b61c8e --- /dev/null +++ b/src/pipecat/services/ai_service.py @@ -0,0 +1,105 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +from typing import Any, AsyncGenerator, Dict, Mapping + +from loguru import logger + +from pipecat.frames.frames import ( + CancelFrame, + EndFrame, + ErrorFrame, + Frame, + StartFrame, +) +from pipecat.metrics.metrics import MetricsData +from pipecat.processors.frame_processor import FrameDirection, FrameProcessor + + +class AIService(FrameProcessor): + def __init__(self, **kwargs): + super().__init__(**kwargs) + self._model_name: str = "" + self._settings: Dict[str, Any] = {} + self._session_properties: Dict[str, Any] = {} + + @property + def model_name(self) -> str: + return self._model_name + + def set_model_name(self, model: str): + self._model_name = model + self.set_core_metrics_data(MetricsData(processor=self.name, model=self._model_name)) + + async def start(self, frame: StartFrame): + pass + + async def stop(self, frame: EndFrame): + pass + + async def cancel(self, frame: CancelFrame): + pass + + async def _update_settings(self, settings: Mapping[str, Any]): + from pipecat.services.openai_realtime_beta.events import ( + SessionProperties, + ) + + for key, value in settings.items(): + logger.debug("Update request for:", key, value) + + if key in self._settings: + logger.info(f"Updating LLM setting {key} to: [{value}]") + self._settings[key] = value + elif key in SessionProperties.model_fields: + logger.debug("Attempting to update", key, value) + + try: + from pipecat.services.openai_realtime_beta.events import ( + TurnDetection, + ) + + if isinstance(self._session_properties, SessionProperties): + current_properties = self._session_properties + else: + current_properties = SessionProperties(**self._session_properties) + + if key == "turn_detection" and isinstance(value, dict): + turn_detection = TurnDetection(**value) + setattr(current_properties, key, turn_detection) + else: + setattr(current_properties, key, value) + + validated_properties = SessionProperties.model_validate( + current_properties.model_dump() + ) + logger.info(f"Updating LLM setting {key} to: [{value}]") + self._session_properties = validated_properties.model_dump() + except Exception as e: + logger.warning(f"Unexpected error updating session property {key}: {e}") + elif key == "model": + logger.info(f"Updating LLM setting {key} to: [{value}]") + self.set_model_name(value) + else: + logger.warning(f"Unknown setting for {self.name} service: {key}") + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if isinstance(frame, StartFrame): + await self.start(frame) + elif isinstance(frame, CancelFrame): + await self.cancel(frame) + elif isinstance(frame, EndFrame): + await self.stop(frame) + + async def process_generator(self, generator: AsyncGenerator[Frame | None, None]): + async for f in generator: + if f: + if isinstance(f, ErrorFrame): + await self.push_error(f) + else: + await self.push_frame(f) diff --git a/src/pipecat/services/ai_services.py b/src/pipecat/services/ai_services.py index 97aad0d40..cda43c016 100644 --- a/src/pipecat/services/ai_services.py +++ b/src/pipecat/services/ai_services.py @@ -4,1122 +4,19 @@ # SPDX-License-Identifier: BSD 2-Clause License # -import asyncio -import io -import wave -from abc import abstractmethod -from dataclasses import dataclass -from typing import Any, AsyncGenerator, Dict, List, Mapping, Optional, Sequence, Set, Tuple, Type +import sys -from loguru import logger +from pipecat.services import DeprecatedModuleProxy -from pipecat.adapters.base_llm_adapter import BaseLLMAdapter -from pipecat.adapters.services.open_ai_adapter import OpenAILLMAdapter -from pipecat.frames.frames import ( - AudioRawFrame, - BotStartedSpeakingFrame, - BotStoppedSpeakingFrame, - CancelFrame, - EndFrame, - ErrorFrame, - Frame, - FunctionCallCancelFrame, - FunctionCallInProgressFrame, - FunctionCallResultFrame, - InterimTranscriptionFrame, - LLMFullResponseEndFrame, - StartFrame, - StartInterruptionFrame, - STTMuteFrame, - STTUpdateSettingsFrame, - TextFrame, - TranscriptionFrame, - TTSAudioRawFrame, - TTSSpeakFrame, - TTSStartedFrame, - TTSStoppedFrame, - TTSTextFrame, - TTSUpdateSettingsFrame, - UserImageRequestFrame, - UserStartedSpeakingFrame, - UserStoppedSpeakingFrame, - VisionImageRawFrame, +from .ai_service import * +from .image_service import * +from .llm_service import * +from .stt_service import * +from .tts_service import * +from .vision_service import * + +sys.modules[__name__] = DeprecatedModuleProxy( + globals(), + "ai_services", + "ai_service.[image_service,llm_service,stt_service,tts_service,vision_service]", ) -from pipecat.metrics.metrics import MetricsData -from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext -from pipecat.processors.frame_processor import FrameDirection, FrameProcessor -from pipecat.services.websocket_service import WebsocketService -from pipecat.transcriptions.language import Language -from pipecat.utils.text.base_text_aggregator import BaseTextAggregator -from pipecat.utils.text.base_text_filter import BaseTextFilter -from pipecat.utils.text.simple_text_aggregator import SimpleTextAggregator -from pipecat.utils.time import seconds_to_nanoseconds - - -class AIService(FrameProcessor): - def __init__(self, **kwargs): - super().__init__(**kwargs) - self._model_name: str = "" - self._settings: Dict[str, Any] = {} - self._session_properties: Dict[str, Any] = {} - - @property - def model_name(self) -> str: - return self._model_name - - def set_model_name(self, model: str): - self._model_name = model - self.set_core_metrics_data(MetricsData(processor=self.name, model=self._model_name)) - - async def start(self, frame: StartFrame): - pass - - async def stop(self, frame: EndFrame): - pass - - async def cancel(self, frame: CancelFrame): - pass - - async def _update_settings(self, settings: Mapping[str, Any]): - from pipecat.services.openai_realtime_beta.events import ( - SessionProperties, - ) - - for key, value in settings.items(): - logger.debug("Update request for:", key, value) - - if key in self._settings: - logger.info(f"Updating LLM setting {key} to: [{value}]") - self._settings[key] = value - elif key in SessionProperties.model_fields: - logger.debug("Attempting to update", key, value) - - try: - from pipecat.services.openai_realtime_beta.events import ( - TurnDetection, - ) - - if isinstance(self._session_properties, SessionProperties): - current_properties = self._session_properties - else: - current_properties = SessionProperties(**self._session_properties) - - if key == "turn_detection" and isinstance(value, dict): - turn_detection = TurnDetection(**value) - setattr(current_properties, key, turn_detection) - else: - setattr(current_properties, key, value) - - validated_properties = SessionProperties.model_validate( - current_properties.model_dump() - ) - logger.info(f"Updating LLM setting {key} to: [{value}]") - self._session_properties = validated_properties.model_dump() - except Exception as e: - logger.warning(f"Unexpected error updating session property {key}: {e}") - elif key == "model": - logger.info(f"Updating LLM setting {key} to: [{value}]") - self.set_model_name(value) - else: - logger.warning(f"Unknown setting for {self.name} service: {key}") - - async def process_frame(self, frame: Frame, direction: FrameDirection): - await super().process_frame(frame, direction) - - if isinstance(frame, StartFrame): - await self.start(frame) - elif isinstance(frame, CancelFrame): - await self.cancel(frame) - elif isinstance(frame, EndFrame): - await self.stop(frame) - - async def process_generator(self, generator: AsyncGenerator[Frame | None, None]): - async for f in generator: - if f: - if isinstance(f, ErrorFrame): - await self.push_error(f) - else: - await self.push_frame(f) - - -@dataclass -class FunctionEntry: - function_name: Optional[str] - callback: Any # TODO(aleix): add proper typing. - cancel_on_interruption: bool - - -class LLMService(AIService): - """This class is a no-op but serves as a base class for LLM services.""" - - # OpenAILLMAdapter is used as the default adapter since it aligns with most LLM implementations. - # However, subclasses should override this with a more specific adapter when necessary. - adapter_class: Type[BaseLLMAdapter] = OpenAILLMAdapter - - def __init__(self, **kwargs): - super().__init__(**kwargs) - self._functions = {} - self._start_callbacks = {} - self._adapter = self.adapter_class() - self._function_call_tasks: Set[Tuple[asyncio.Task, str, str]] = set() - - self._register_event_handler("on_completion_timeout") - - def get_llm_adapter(self) -> BaseLLMAdapter: - return self._adapter - - def create_context_aggregator( - self, - context: OpenAILLMContext, - *, - user_kwargs: Mapping[str, Any] = {}, - assistant_kwargs: Mapping[str, Any] = {}, - ) -> Any: - pass - - async def process_frame(self, frame: Frame, direction: FrameDirection): - await super().process_frame(frame, direction) - - if isinstance(frame, StartInterruptionFrame): - await self._handle_interruptions(frame) - - async def _handle_interruptions(self, frame: StartInterruptionFrame): - for function_name, entry in self._functions.items(): - if entry.cancel_on_interruption: - await self._cancel_function_call(function_name) - - def register_function( - self, - function_name: Optional[str], - callback: Any, - start_callback=None, - *, - cancel_on_interruption: bool = False, - ): - # Registering a function with the function_name set to None will run that callback - # for all functions - self._functions[function_name] = FunctionEntry( - function_name=function_name, - callback=callback, - cancel_on_interruption=cancel_on_interruption, - ) - - # Start callbacks are now deprecated. - if start_callback: - import warnings - - with warnings.catch_warnings(): - warnings.simplefilter("always") - warnings.warn( - "Parameter 'start_callback' is deprecated, just put your code on top of the actual function call instead.", - DeprecationWarning, - ) - - self._start_callbacks[function_name] = start_callback - - def unregister_function(self, function_name: Optional[str]): - del self._functions[function_name] - if self._start_callbacks[function_name]: - del self._start_callbacks[function_name] - - def has_function(self, function_name: str): - if None in self._functions.keys(): - return True - return function_name in self._functions.keys() - - async def call_function( - self, - *, - context: OpenAILLMContext, - tool_call_id: str, - function_name: str, - arguments: str, - run_llm: bool = True, - ): - if not function_name in self._functions.keys() and not None in self._functions.keys(): - return - - task = self.create_task( - self._run_function_call(context, tool_call_id, function_name, arguments, run_llm) - ) - - self._function_call_tasks.add((task, tool_call_id, function_name)) - - task.add_done_callback(self._function_call_task_finished) - - async def call_start_function(self, context: OpenAILLMContext, function_name: str): - if function_name in self._start_callbacks.keys(): - await self._start_callbacks[function_name](function_name, self, context) - elif None in self._start_callbacks.keys(): - return await self._start_callbacks[None](function_name, self, context) - - async def request_image_frame( - self, - user_id: str, - *, - function_name: Optional[str] = None, - tool_call_id: Optional[str] = None, - text_content: Optional[str] = None, - ): - await self.push_frame( - UserImageRequestFrame( - user_id=user_id, - function_name=function_name, - tool_call_id=tool_call_id, - context=text_content, - ), - FrameDirection.UPSTREAM, - ) - - async def _run_function_call( - self, - context: OpenAILLMContext, - tool_call_id: str, - function_name: str, - arguments: str, - run_llm: bool = True, - ): - if function_name in self._functions.keys(): - entry = self._functions[function_name] - elif None in self._functions.keys(): - entry = self._functions[None] - else: - return - - logger.debug( - f"{self} Calling function [{function_name}:{tool_call_id}] with arguments {arguments}" - ) - - # NOTE(aleix): This needs to be removed after we remove the deprecation. - await self.call_start_function(context, function_name) - - # Push a SystemFrame downstream. This frame will let our assistant context aggregator - # know that we are in the middle of a function call. Some contexts/aggregators may - # not need this. But some definitely do (Anthropic, for example). - # Also push a SystemFrame upstream for use by other processors, like STTMuteFilter. - progress_frame_downstream = FunctionCallInProgressFrame( - function_name=function_name, - tool_call_id=tool_call_id, - arguments=arguments, - cancel_on_interruption=entry.cancel_on_interruption, - ) - progress_frame_upstream = FunctionCallInProgressFrame( - function_name=function_name, - tool_call_id=tool_call_id, - arguments=arguments, - cancel_on_interruption=entry.cancel_on_interruption, - ) - - # Push frame both downstream and upstream - await self.push_frame(progress_frame_downstream, FrameDirection.DOWNSTREAM) - await self.push_frame(progress_frame_upstream, FrameDirection.UPSTREAM) - - # Define a callback function that pushes a FunctionCallResultFrame upstream & downstream. - async def function_call_result_callback(result, *, properties=None): - result_frame_downstream = FunctionCallResultFrame( - function_name=function_name, - tool_call_id=tool_call_id, - arguments=arguments, - result=result, - properties=properties, - ) - result_frame_upstream = FunctionCallResultFrame( - function_name=function_name, - tool_call_id=tool_call_id, - arguments=arguments, - result=result, - properties=properties, - ) - - await self.push_frame(result_frame_downstream, FrameDirection.DOWNSTREAM) - await self.push_frame(result_frame_upstream, FrameDirection.UPSTREAM) - - await entry.callback( - function_name, tool_call_id, arguments, self, context, function_call_result_callback - ) - - async def _cancel_function_call(self, function_name: str): - cancelled_tasks = set() - for task, tool_call_id, name in self._function_call_tasks: - if name == function_name: - # We remove the callback because we are going to cancel the task - # now, otherwise we will be removing it from the set while we - # are iterating. - task.remove_done_callback(self._function_call_task_finished) - - logger.debug(f"{self} Cancelling function call [{name}:{tool_call_id}]...") - - await self.cancel_task(task) - - frame = FunctionCallCancelFrame( - function_name=function_name, tool_call_id=tool_call_id - ) - await self.push_frame(frame) - - logger.debug(f"{self} Function call [{name}:{tool_call_id}] has been cancelled") - - cancelled_tasks.add(task) - - # Remove all cancelled tasks from our set. - for task in cancelled_tasks: - self._function_call_task_finished(task) - - def _function_call_task_finished(self, task: asyncio.Task): - tuple_to_remove = next((t for t in self._function_call_tasks if t[0] == task), None) - if tuple_to_remove: - self._function_call_tasks.discard(tuple_to_remove) - # The task is finished so this should exit immediately. We need to - # do this because otherwise the task manager would report a dangling - # task if we don't remove it. - asyncio.run_coroutine_threadsafe(self.wait_for_task(task), self.get_event_loop()) - - -class TTSService(AIService): - def __init__( - self, - *, - aggregate_sentences: bool = True, - # if True, TTSService will push TextFrames and LLMFullResponseEndFrames, - # otherwise subclass must do it - push_text_frames: bool = True, - # if True, TTSService will push TTSStoppedFrames, otherwise subclass must do it - push_stop_frames: bool = False, - # if push_stop_frames is True, wait for this idle period before pushing TTSStoppedFrame - stop_frame_timeout_s: float = 2.0, - # if True, TTSService will push silence audio frames after TTSStoppedFrame - push_silence_after_stop: bool = False, - # if push_silence_after_stop is True, send this amount of audio silence - silence_time_s: float = 2.0, - # if True, we will pause processing frames while we are receiving audio - pause_frame_processing: bool = False, - # TTS output sample rate - sample_rate: Optional[int] = None, - # Text aggregator to aggregate incoming tokens and decide when to push to the TTS. - text_aggregator: Optional[BaseTextAggregator] = None, - # Text filter executed after text has been aggregated. - text_filters: Sequence[BaseTextFilter] = [], - text_filter: Optional[BaseTextFilter] = None, - **kwargs, - ): - super().__init__(**kwargs) - self._aggregate_sentences: bool = aggregate_sentences - self._push_text_frames: bool = push_text_frames - self._push_stop_frames: bool = push_stop_frames - self._stop_frame_timeout_s: float = stop_frame_timeout_s - self._push_silence_after_stop: bool = push_silence_after_stop - self._silence_time_s: float = silence_time_s - self._pause_frame_processing: bool = pause_frame_processing - self._init_sample_rate = sample_rate - self._sample_rate = 0 - self._voice_id: str = "" - self._settings: Dict[str, Any] = {} - self._text_aggregator: BaseTextAggregator = text_aggregator or SimpleTextAggregator() - self._text_filters: Sequence[BaseTextFilter] = text_filters - if text_filter: - import warnings - - with warnings.catch_warnings(): - warnings.simplefilter("always") - warnings.warn( - "Parameter 'text_filter' is deprecated, use 'text_filters' instead.", - DeprecationWarning, - ) - self._text_filters = [text_filter] - - self._stop_frame_task: Optional[asyncio.Task] = None - self._stop_frame_queue: asyncio.Queue = asyncio.Queue() - - self._processing_text: bool = False - - @property - def sample_rate(self) -> int: - return self._sample_rate - - async def set_model(self, model: str): - self.set_model_name(model) - - def set_voice(self, voice: str): - self._voice_id = voice - - # Converts the text to audio. - @abstractmethod - async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]: - pass - - def language_to_service_language(self, language: Language) -> Optional[str]: - return Language(language) - - async def update_setting(self, key: str, value: Any): - pass - - async def flush_audio(self): - pass - - async def start(self, frame: StartFrame): - await super().start(frame) - self._sample_rate = self._init_sample_rate or frame.audio_out_sample_rate - if self._push_stop_frames and not self._stop_frame_task: - self._stop_frame_task = self.create_task(self._stop_frame_handler()) - - async def stop(self, frame: EndFrame): - await super().stop(frame) - if self._stop_frame_task: - await self.cancel_task(self._stop_frame_task) - self._stop_frame_task = None - - async def cancel(self, frame: CancelFrame): - await super().cancel(frame) - if self._stop_frame_task: - await self.cancel_task(self._stop_frame_task) - self._stop_frame_task = None - - async def _update_settings(self, settings: Mapping[str, Any]): - for key, value in settings.items(): - if key in self._settings: - logger.info(f"Updating TTS setting {key} to: [{value}]") - self._settings[key] = value - if key == "language": - self._settings[key] = self.language_to_service_language(value) - elif key == "model": - self.set_model_name(value) - elif key == "voice": - self.set_voice(value) - elif key == "text_filter": - for filter in self._text_filters: - filter.update_settings(value) - else: - logger.warning(f"Unknown setting for TTS service: {key}") - - async def say(self, text: str): - await self.queue_frame(TTSSpeakFrame(text)) - - async def process_frame(self, frame: Frame, direction: FrameDirection): - await super().process_frame(frame, direction) - - if ( - isinstance(frame, TextFrame) - and not isinstance(frame, InterimTranscriptionFrame) - and not isinstance(frame, TranscriptionFrame) - ): - await self._process_text_frame(frame) - elif isinstance(frame, StartInterruptionFrame): - await self._handle_interruption(frame, direction) - await self.push_frame(frame, direction) - elif isinstance(frame, (LLMFullResponseEndFrame, EndFrame)): - # We pause processing incoming frames if the LLM response included - # text (it might be that it's only a function calling response). We - # pause to avoid audio overlapping. - await self._maybe_pause_frame_processing() - - sentence = self._text_aggregator.text - self._text_aggregator.reset() - self._processing_text = False - await self._push_tts_frames(sentence) - if isinstance(frame, LLMFullResponseEndFrame): - if self._push_text_frames: - await self.push_frame(frame, direction) - else: - await self.push_frame(frame, direction) - elif isinstance(frame, TTSSpeakFrame): - # Store if we were processing text or not so we can set it back. - processing_text = self._processing_text - await self._push_tts_frames(frame.text) - # We pause processing incoming frames because we are sending data to - # the TTS. We pause to avoid audio overlapping. - await self._maybe_pause_frame_processing() - await self.flush_audio() - self._processing_text = processing_text - elif isinstance(frame, TTSUpdateSettingsFrame): - await self._update_settings(frame.settings) - elif isinstance(frame, BotStoppedSpeakingFrame): - await self._maybe_resume_frame_processing() - await self.push_frame(frame, direction) - else: - await self.push_frame(frame, direction) - - async def push_frame(self, frame: Frame, direction: FrameDirection = FrameDirection.DOWNSTREAM): - if self._push_silence_after_stop and isinstance(frame, TTSStoppedFrame): - silence_num_bytes = int(self._silence_time_s * self.sample_rate * 2) # 16-bit - await self.push_frame( - TTSAudioRawFrame( - audio=b"\x00" * silence_num_bytes, - sample_rate=self.sample_rate, - num_channels=1, - ) - ) - - await super().push_frame(frame, direction) - - if self._push_stop_frames and ( - isinstance(frame, StartInterruptionFrame) - or isinstance(frame, TTSStartedFrame) - or isinstance(frame, TTSAudioRawFrame) - or isinstance(frame, TTSStoppedFrame) - ): - await self._stop_frame_queue.put(frame) - - async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection): - self._processing_text = False - self._text_aggregator.handle_interruption() - for filter in self._text_filters: - filter.handle_interruption() - - async def _maybe_pause_frame_processing(self): - if self._processing_text and self._pause_frame_processing: - await self.pause_processing_frames() - - async def _maybe_resume_frame_processing(self): - if self._pause_frame_processing: - await self.resume_processing_frames() - - async def _process_text_frame(self, frame: TextFrame): - text: Optional[str] = None - if not self._aggregate_sentences: - text = frame.text - else: - text = self._text_aggregator.aggregate(frame.text) - - if text: - await self._push_tts_frames(text) - - async def _push_tts_frames(self, text: str): - # Remove leading newlines only - text = text.lstrip("\n") - - # Don't send only whitespace. This causes problems for some TTS models. But also don't - # strip all whitespace, as whitespace can influence prosody. - if not text.strip(): - return - - # This is just a flag that indicates if we sent something to the TTS - # service. It will be cleared if we sent text because of a TTSSpeakFrame - # or when we received an LLMFullResponseEndFrame - self._processing_text = True - - await self.start_processing_metrics() - - # Process all filter. - for filter in self._text_filters: - filter.reset_interruption() - text = filter.filter(text) - - await self.process_generator(self.run_tts(text)) - - await self.stop_processing_metrics() - - if self._push_text_frames: - # We send the original text after the audio. This way, if we are - # interrupted, the text is not added to the assistant context. - await self.push_frame(TTSTextFrame(text)) - - async def _stop_frame_handler(self): - has_started = False - while True: - try: - frame = await asyncio.wait_for( - self._stop_frame_queue.get(), self._stop_frame_timeout_s - ) - if isinstance(frame, TTSStartedFrame): - has_started = True - elif isinstance(frame, (TTSStoppedFrame, StartInterruptionFrame)): - has_started = False - except asyncio.TimeoutError: - if has_started: - await self.push_frame(TTSStoppedFrame()) - has_started = False - - -class WordTTSService(TTSService): - """This is a base class for TTS services that support word timestamps. Word - timestamps are useful to synchronize audio with text of the spoken - words. This way only the spoken words are added to the conversation context. - - """ - - def __init__(self, **kwargs): - super().__init__(**kwargs) - self._initial_word_timestamp = -1 - self._words_queue = asyncio.Queue() - self._words_task = None - - def start_word_timestamps(self): - if self._initial_word_timestamp == -1: - self._initial_word_timestamp = self.get_clock().get_time() - - def reset_word_timestamps(self): - self._initial_word_timestamp = -1 - - async def add_word_timestamps(self, word_times: List[Tuple[str, float]]): - for word, timestamp in word_times: - await self._words_queue.put((word, seconds_to_nanoseconds(timestamp))) - - async def start(self, frame: StartFrame): - await super().start(frame) - self._create_words_task() - - async def stop(self, frame: EndFrame): - await super().stop(frame) - await self._stop_words_task() - - async def cancel(self, frame: CancelFrame): - await super().cancel(frame) - await self._stop_words_task() - - async def process_frame(self, frame: Frame, direction: FrameDirection): - await super().process_frame(frame, direction) - - if isinstance(frame, (LLMFullResponseEndFrame, EndFrame)): - await self.flush_audio() - - async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection): - await super()._handle_interruption(frame, direction) - self.reset_word_timestamps() - - def _create_words_task(self): - if not self._words_task: - self._words_task = self.create_task(self._words_task_handler()) - - async def _stop_words_task(self): - if self._words_task: - await self.cancel_task(self._words_task) - self._words_task = None - - async def _words_task_handler(self): - last_pts = 0 - while True: - (word, timestamp) = await self._words_queue.get() - if word == "Reset" and timestamp == 0: - self.reset_word_timestamps() - frame = None - elif word == "LLMFullResponseEndFrame" and timestamp == 0: - frame = LLMFullResponseEndFrame() - frame.pts = last_pts - elif word == "TTSStoppedFrame" and timestamp == 0: - frame = TTSStoppedFrame() - frame.pts = last_pts - else: - frame = TTSTextFrame(word) - frame.pts = self._initial_word_timestamp + timestamp - if frame: - last_pts = frame.pts - await self.push_frame(frame) - self._words_queue.task_done() - - -class WebsocketTTSService(TTSService, WebsocketService): - """This is a base class for websocket-based TTS services. - - If an error occurs with the websocket, an "on_connection_error" event will - be triggered: - - @tts.event_handler("on_connection_error") - async def on_connection_error(tts: TTSService, error: str): - ... - - """ - - def __init__(self, *, reconnect_on_error: bool = True, **kwargs): - TTSService.__init__(self, **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): - await self._call_event_handler("on_connection_error", error.error) - await self.push_error(error) - - -class InterruptibleTTSService(WebsocketTTSService): - """This is a base class for websocket-based TTS services that don't support - word timestamps and that don't offer a way to correlate the generated audio - to the requested text. - - """ - - def __init__(self, **kwargs): - super().__init__(**kwargs) - - # Indicates if the bot is speaking. If the bot is not speaking we don't - # need to reconnect when the user speaks. If the bot is speaking and the - # user interrupts we need to reconnect. - self._bot_speaking = False - - async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection): - await super()._handle_interruption(frame, direction) - if self._bot_speaking: - await self._disconnect() - await self._connect() - - async def process_frame(self, frame: Frame, direction: FrameDirection): - await super().process_frame(frame, direction) - - if isinstance(frame, BotStartedSpeakingFrame): - self._bot_speaking = True - elif isinstance(frame, BotStoppedSpeakingFrame): - self._bot_speaking = False - - -class WebsocketWordTTSService(WordTTSService, WebsocketService): - """This is a base class for websocket-based TTS services that support word - timestamps. - - If an error occurs with the websocket a "on_connection_error" event will be - triggered: - - @tts.event_handler("on_connection_error") - async def on_connection_error(tts: TTSService, error: str): - ... - - """ - - def __init__(self, *, reconnect_on_error: bool = True, **kwargs): - WordTTSService.__init__(self, **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): - await self._call_event_handler("on_connection_error", error.error) - await self.push_error(error) - - -class InterruptibleWordTTSService(WebsocketWordTTSService): - """This is a base class for websocket-based TTS services that support word - timestamps but don't offer a way to correlate the generated audio to the - requested text. - - """ - - def __init__(self, **kwargs): - super().__init__(**kwargs) - - # Indicates if the bot is speaking. If the bot is not speaking we don't - # need to reconnect when the user speaks. If the bot is speaking and the - # user interrupts we need to reconnect. - self._bot_speaking = False - - async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection): - await super()._handle_interruption(frame, direction) - if self._bot_speaking: - await self._disconnect() - await self._connect() - - async def process_frame(self, frame: Frame, direction: FrameDirection): - await super().process_frame(frame, direction) - - if isinstance(frame, BotStartedSpeakingFrame): - self._bot_speaking = True - elif isinstance(frame, BotStoppedSpeakingFrame): - self._bot_speaking = False - - -class AudioContextWordTTSService(WebsocketWordTTSService): - """This is a base class for websocket-based TTS services that support word - timestamps and also allow correlating the generated audio with the requested - text. - - Each request could be multiple sentences long which are grouped by - context. For this to work, the TTS service needs to support handling - multiple requests at once (i.e. multiple simultaneous contexts). - - The audio received from the TTS will be played in context order. That is, if - we requested audio for a context "A" and then audio for context "B", the - audio from context ID "A" will be played first. - - """ - - def __init__(self, **kwargs): - super().__init__(**kwargs) - self._contexts_queue = asyncio.Queue() - self._contexts: Dict[str, asyncio.Queue] = {} - self._audio_context_task = None - - async def create_audio_context(self, context_id: str): - """Create a new audio context.""" - await self._contexts_queue.put(context_id) - self._contexts[context_id] = asyncio.Queue() - logger.trace(f"{self} created audio context {context_id}") - - async def append_to_audio_context(self, context_id: str, frame: TTSAudioRawFrame): - """Append audio to an existing context.""" - if self.audio_context_available(context_id): - logger.trace(f"{self} appending audio {frame} to audio context {context_id}") - await self._contexts[context_id].put(frame) - else: - logger.warning(f"{self} unable to append audio to context {context_id}") - - async def remove_audio_context(self, context_id: str): - """Remove an existing audio context.""" - if self.audio_context_available(context_id): - # We just mark the audio context for deletion by appending - # None. Once we reach None while handling audio we know we can - # safely remove the context. - logger.trace(f"{self} marking audio context {context_id} for deletion") - await self._contexts[context_id].put(None) - else: - logger.warning(f"{self} unable to remove context {context_id}") - - def audio_context_available(self, context_id: str) -> bool: - """Checks whether the given audio context is registered.""" - return context_id in self._contexts - - async def start(self, frame: StartFrame): - await super().start(frame) - self._create_audio_context_task() - - async def stop(self, frame: EndFrame): - await super().stop(frame) - if self._audio_context_task: - # Indicate no more audio contexts are available. this will end the - # task cleanly after all contexts have been processed. - await self._contexts_queue.put(None) - await self.wait_for_task(self._audio_context_task) - self._audio_context_task = None - - async def cancel(self, frame: CancelFrame): - await super().cancel(frame) - await self._stop_audio_context_task() - - async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection): - await super()._handle_interruption(frame, direction) - await self._stop_audio_context_task() - self._create_audio_context_task() - - def _create_audio_context_task(self): - if not self._audio_context_task: - self._contexts_queue = asyncio.Queue() - self._contexts: Dict[str, asyncio.Queue] = {} - self._audio_context_task = self.create_task(self._audio_context_task_handler()) - - async def _stop_audio_context_task(self): - if self._audio_context_task: - await self.cancel_task(self._audio_context_task) - self._audio_context_task = None - - async def _audio_context_task_handler(self): - """In this task we process audio contexts in order.""" - running = True - while running: - context_id = await self._contexts_queue.get() - - if context_id: - # Process the audio context until the context doesn't have more - # audio available (i.e. we find None). - await self._handle_audio_context(context_id) - - # We just finished processing the context, so we can safely remove it. - del self._contexts[context_id] - - # Append some silence between sentences. - silence = b"\x00" * self.sample_rate - frame = TTSAudioRawFrame( - audio=silence, sample_rate=self.sample_rate, num_channels=1 - ) - await self.push_frame(frame) - else: - running = False - - self._contexts_queue.task_done() - - async def _handle_audio_context(self, context_id: str): - # If we don't receive any audio during this time, we consider the context finished. - AUDIO_CONTEXT_TIMEOUT = 3.0 - queue = self._contexts[context_id] - running = True - while running: - try: - frame = await asyncio.wait_for(queue.get(), timeout=AUDIO_CONTEXT_TIMEOUT) - if frame: - await self.push_frame(frame) - running = frame is not None - except asyncio.TimeoutError: - # We didn't get audio, so let's consider this context finished. - logger.trace(f"{self} time out on audio context {context_id}") - break - - -class STTService(AIService): - """STTService is a base class for speech-to-text services.""" - - def __init__( - self, - audio_passthrough=False, - # STT input sample rate - sample_rate: Optional[int] = None, - **kwargs, - ): - super().__init__(**kwargs) - self._audio_passthrough = audio_passthrough - self._init_sample_rate = sample_rate - self._sample_rate = 0 - self._settings: Dict[str, Any] = {} - self._muted: bool = False - - @property - def is_muted(self) -> bool: - """Returns whether the STT service is currently muted.""" - return self._muted - - @property - def sample_rate(self) -> int: - return self._sample_rate - - async def set_model(self, model: str): - self.set_model_name(model) - - async def set_language(self, language: Language): - pass - - @abstractmethod - async def run_stt(self, audio: bytes) -> AsyncGenerator[Frame, None]: - """Returns transcript as a string""" - pass - - async def start(self, frame: StartFrame): - await super().start(frame) - self._sample_rate = self._init_sample_rate or frame.audio_in_sample_rate - - async def _update_settings(self, settings: Mapping[str, Any]): - logger.info(f"Updating STT settings: {self._settings}") - for key, value in settings.items(): - if key in self._settings: - logger.info(f"Updating STT setting {key} to: [{value}]") - self._settings[key] = value - if key == "language": - await self.set_language(value) - elif key == "model": - self.set_model_name(value) - else: - logger.warning(f"Unknown setting for STT service: {key}") - - async def process_audio_frame(self, frame: AudioRawFrame, direction: FrameDirection): - if self._muted: - return - - await self.process_generator(self.run_stt(frame.audio)) - - async def process_frame(self, frame: Frame, direction: FrameDirection): - """Processes a frame of audio data, either buffering or transcribing it.""" - await super().process_frame(frame, direction) - - if isinstance(frame, AudioRawFrame): - # In this service we accumulate audio internally and at the end we - # push a TextFrame. We also push audio downstream in case someone - # else needs it. - await self.process_audio_frame(frame, direction) - if self._audio_passthrough: - await self.push_frame(frame, direction) - elif isinstance(frame, STTUpdateSettingsFrame): - await self._update_settings(frame.settings) - elif isinstance(frame, STTMuteFrame): - self._muted = frame.mute - logger.debug(f"STT service {'muted' if frame.mute else 'unmuted'}") - else: - await self.push_frame(frame, direction) - - -class SegmentedSTTService(STTService): - """SegmentedSTTService is an STTService that uses VAD events to detect - speech and will run speech-to-text on speech segments only, instead of a - continous stream. Since it uses VAD it means that VAD needs to be enabled in - the pipeline. - - This service always keeps a small audio buffer to take into account that VAD - events are delayed from when the user speech really starts. - - """ - - def __init__(self, *, sample_rate: Optional[int] = None, **kwargs): - super().__init__(sample_rate=sample_rate, **kwargs) - self._content = None - self._wave = None - self._audio_buffer = bytearray() - self._audio_buffer_size_1s = 0 - self._user_speaking = False - - async def start(self, frame: StartFrame): - await super().start(frame) - self._audio_buffer_size_1s = self.sample_rate * 2 - - async def process_frame(self, frame: Frame, direction: FrameDirection): - await super().process_frame(frame, direction) - - if isinstance(frame, UserStartedSpeakingFrame): - await self._handle_user_started_speaking(frame) - elif isinstance(frame, UserStoppedSpeakingFrame): - await self._handle_user_stopped_speaking(frame) - - async def _handle_user_started_speaking(self, frame: UserStartedSpeakingFrame): - if frame.emulated: - return - self._user_speaking = True - - async def _handle_user_stopped_speaking(self, frame: UserStoppedSpeakingFrame): - if frame.emulated: - return - - self._user_speaking = False - - content = io.BytesIO() - wav = wave.open(content, "wb") - wav.setsampwidth(2) - wav.setnchannels(1) - wav.setframerate(self.sample_rate) - wav.writeframes(self._audio_buffer) - wav.close() - content.seek(0) - - await self.process_generator(self.run_stt(content.read())) - - # Start clean. - self._audio_buffer.clear() - - async def process_audio_frame(self, frame: AudioRawFrame, direction: FrameDirection): - # If the user is speaking the audio buffer will keep growing. - self._audio_buffer += frame.audio - - # If the user is not speaking we keep just a little bit of audio. - if not self._user_speaking and len(self._audio_buffer) > self._audio_buffer_size_1s: - discarded = len(self._audio_buffer) - self._audio_buffer_size_1s - self._audio_buffer = self._audio_buffer[discarded:] - - -class ImageGenService(AIService): - def __init__(self, **kwargs): - super().__init__(**kwargs) - - # Renders the image. Returns an Image object. - @abstractmethod - async def run_image_gen(self, prompt: str) -> AsyncGenerator[Frame, None]: - pass - - async def process_frame(self, frame: Frame, direction: FrameDirection): - await super().process_frame(frame, direction) - - if isinstance(frame, TextFrame): - await self.push_frame(frame, direction) - await self.start_processing_metrics() - await self.process_generator(self.run_image_gen(frame.text)) - await self.stop_processing_metrics() - else: - await self.push_frame(frame, direction) - - -class VisionService(AIService): - """VisionService is a base class for vision services.""" - - def __init__(self, **kwargs): - super().__init__(**kwargs) - self._describe_text = None - - @abstractmethod - async def run_vision(self, frame: VisionImageRawFrame) -> AsyncGenerator[Frame, None]: - pass - - async def process_frame(self, frame: Frame, direction: FrameDirection): - await super().process_frame(frame, direction) - - if isinstance(frame, VisionImageRawFrame): - await self.start_processing_metrics() - await self.process_generator(self.run_vision(frame)) - await self.stop_processing_metrics() - else: - await self.push_frame(frame, direction) diff --git a/src/pipecat/services/anthropic/llm.py b/src/pipecat/services/anthropic/llm.py index 3e369075a..9e75e198b 100644 --- a/src/pipecat/services/anthropic/llm.py +++ b/src/pipecat/services/anthropic/llm.py @@ -43,7 +43,7 @@ from pipecat.processors.aggregators.openai_llm_context import ( OpenAILLMContextFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import LLMService +from pipecat.services.llm_service import LLMService try: from anthropic import NOT_GIVEN, AsyncAnthropic, NotGiven diff --git a/src/pipecat/services/assemblyai/stt.py b/src/pipecat/services/assemblyai/stt.py index 87dd18bf4..e6705a4a7 100644 --- a/src/pipecat/services/assemblyai/stt.py +++ b/src/pipecat/services/assemblyai/stt.py @@ -18,7 +18,7 @@ from pipecat.frames.frames import ( StartFrame, TranscriptionFrame, ) -from pipecat.services.ai_services import STTService +from pipecat.services.stt_service import STTService from pipecat.transcriptions.language import Language from pipecat.utils.time import time_now_iso8601 diff --git a/src/pipecat/services/aws/tts.py b/src/pipecat/services/aws/tts.py index 4c0417d72..cc9ce6457 100644 --- a/src/pipecat/services/aws/tts.py +++ b/src/pipecat/services/aws/tts.py @@ -18,7 +18,7 @@ from pipecat.frames.frames import ( TTSStartedFrame, TTSStoppedFrame, ) -from pipecat.services.ai_services import TTSService +from pipecat.services.tts_service import TTSService from pipecat.transcriptions.language import Language try: diff --git a/src/pipecat/services/azure/image.py b/src/pipecat/services/azure/image.py index d86c6075b..a1bae3af6 100644 --- a/src/pipecat/services/azure/image.py +++ b/src/pipecat/services/azure/image.py @@ -13,7 +13,7 @@ from loguru import logger from PIL import Image from pipecat.frames.frames import ErrorFrame, Frame, URLImageRawFrame -from pipecat.services.ai_services import ImageGenService +from pipecat.services.image_service import ImageGenService class AzureImageGenServiceREST(ImageGenService): diff --git a/src/pipecat/services/azure/stt.py b/src/pipecat/services/azure/stt.py index 3e1302029..95f3dcae1 100644 --- a/src/pipecat/services/azure/stt.py +++ b/src/pipecat/services/azure/stt.py @@ -16,8 +16,8 @@ from pipecat.frames.frames import ( StartFrame, TranscriptionFrame, ) -from pipecat.services.ai_services import STTService from pipecat.services.azure.common import language_to_azure_language +from pipecat.services.stt_service import STTService from pipecat.transcriptions.language import Language from pipecat.utils.time import time_now_iso8601 diff --git a/src/pipecat/services/azure/tts.py b/src/pipecat/services/azure/tts.py index 1227a4e96..141d59f5a 100644 --- a/src/pipecat/services/azure/tts.py +++ b/src/pipecat/services/azure/tts.py @@ -18,8 +18,8 @@ from pipecat.frames.frames import ( TTSStartedFrame, TTSStoppedFrame, ) -from pipecat.services.ai_services import TTSService from pipecat.services.azure.common import language_to_azure_language +from pipecat.services.tts_service import TTSService from pipecat.transcriptions.language import Language try: diff --git a/src/pipecat/services/canonical/metrics.py b/src/pipecat/services/canonical/metrics.py index 7b62273d1..012cd4ab7 100644 --- a/src/pipecat/services/canonical/metrics.py +++ b/src/pipecat/services/canonical/metrics.py @@ -18,7 +18,7 @@ from pipecat.frames.frames import CancelFrame, EndFrame, Frame from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import AIService +from pipecat.services.ai_service import AIService try: import aiofiles diff --git a/src/pipecat/services/cartesia/tts.py b/src/pipecat/services/cartesia/tts.py index 45c2fcaf8..aaa8560fe 100644 --- a/src/pipecat/services/cartesia/tts.py +++ b/src/pipecat/services/cartesia/tts.py @@ -24,7 +24,7 @@ from pipecat.frames.frames import ( TTSStoppedFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import AudioContextWordTTSService, TTSService +from pipecat.services.tts_service import AudioContextWordTTSService, TTSService from pipecat.transcriptions.language import Language from pipecat.utils.text.base_text_aggregator import BaseTextAggregator from pipecat.utils.text.skip_tags_aggregator import SkipTagsAggregator diff --git a/src/pipecat/services/deepgram/stt.py b/src/pipecat/services/deepgram/stt.py index ae8b2318a..088b77829 100644 --- a/src/pipecat/services/deepgram/stt.py +++ b/src/pipecat/services/deepgram/stt.py @@ -19,7 +19,7 @@ from pipecat.frames.frames import ( UserStoppedSpeakingFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import STTService +from pipecat.services.stt_service import STTService from pipecat.transcriptions.language import Language from pipecat.utils.time import time_now_iso8601 diff --git a/src/pipecat/services/deepgram/tts.py b/src/pipecat/services/deepgram/tts.py index 5e05292d9..95e08e7af 100644 --- a/src/pipecat/services/deepgram/tts.py +++ b/src/pipecat/services/deepgram/tts.py @@ -16,7 +16,7 @@ from pipecat.frames.frames import ( TTSStartedFrame, TTSStoppedFrame, ) -from pipecat.services.ai_services import TTSService +from pipecat.services.tts_service import TTSService try: from deepgram import DeepgramClient, SpeakOptions diff --git a/src/pipecat/services/elevenlabs/tts.py b/src/pipecat/services/elevenlabs/tts.py index 7b4e4f0dc..d3a066882 100644 --- a/src/pipecat/services/elevenlabs/tts.py +++ b/src/pipecat/services/elevenlabs/tts.py @@ -25,7 +25,7 @@ from pipecat.frames.frames import ( TTSStoppedFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import InterruptibleWordTTSService, TTSService +from pipecat.services.tts_service import InterruptibleWordTTSService, TTSService from pipecat.transcriptions.language import Language # See .env.example for ElevenLabs configuration needed diff --git a/src/pipecat/services/fal/image.py b/src/pipecat/services/fal/image.py index 6ba14caf9..78439486e 100644 --- a/src/pipecat/services/fal/image.py +++ b/src/pipecat/services/fal/image.py @@ -15,7 +15,7 @@ from PIL import Image from pydantic import BaseModel from pipecat.frames.frames import ErrorFrame, Frame, URLImageRawFrame -from pipecat.services.ai_services import ImageGenService +from pipecat.services.image_service import ImageGenService try: import fal_client diff --git a/src/pipecat/services/fal/stt.py b/src/pipecat/services/fal/stt.py index 4926e4718..477d50f3b 100644 --- a/src/pipecat/services/fal/stt.py +++ b/src/pipecat/services/fal/stt.py @@ -11,7 +11,7 @@ from loguru import logger from pydantic import BaseModel from pipecat.frames.frames import ErrorFrame, Frame, TranscriptionFrame -from pipecat.services.ai_services import SegmentedSTTService +from pipecat.services.stt_service import SegmentedSTTService from pipecat.transcriptions.language import Language from pipecat.utils.time import time_now_iso8601 diff --git a/src/pipecat/services/fish/tts.py b/src/pipecat/services/fish/tts.py index d4fe59635..c3ebba6e4 100644 --- a/src/pipecat/services/fish/tts.py +++ b/src/pipecat/services/fish/tts.py @@ -22,7 +22,7 @@ from pipecat.frames.frames import ( TTSStoppedFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import InterruptibleTTSService +from pipecat.services.tts_service import InterruptibleTTSService from pipecat.transcriptions.language import Language try: diff --git a/src/pipecat/services/gemini_multimodal_live/gemini.py b/src/pipecat/services/gemini_multimodal_live/gemini.py index 3ecab0186..322ba8996 100644 --- a/src/pipecat/services/gemini_multimodal_live/gemini.py +++ b/src/pipecat/services/gemini_multimodal_live/gemini.py @@ -50,7 +50,7 @@ from pipecat.processors.aggregators.openai_llm_context import ( OpenAILLMContextFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import LLMService +from pipecat.services.llm_service import LLMService from pipecat.services.openai.llm import ( OpenAIAssistantContextAggregator, OpenAIUserContextAggregator, diff --git a/src/pipecat/services/gladia/stt.py b/src/pipecat/services/gladia/stt.py index 87c1c649d..119e50630 100644 --- a/src/pipecat/services/gladia/stt.py +++ b/src/pipecat/services/gladia/stt.py @@ -20,8 +20,8 @@ from pipecat.frames.frames import ( StartFrame, TranscriptionFrame, ) -from pipecat.services.ai_services import STTService from pipecat.services.gladia.config import GladiaInputParams +from pipecat.services.stt_service import STTService from pipecat.transcriptions.language import Language from pipecat.utils.time import time_now_iso8601 diff --git a/src/pipecat/services/google/image.py b/src/pipecat/services/google/image.py index f7a7764f2..5a73168dc 100644 --- a/src/pipecat/services/google/image.py +++ b/src/pipecat/services/google/image.py @@ -17,7 +17,7 @@ from PIL import Image from pydantic import BaseModel, Field from pipecat.frames.frames import ErrorFrame, Frame, URLImageRawFrame -from pipecat.services.ai_services import ImageGenService +from pipecat.services.image_service import ImageGenService try: from google import genai diff --git a/src/pipecat/services/google/llm.py b/src/pipecat/services/google/llm.py index e78e3949b..a9dd0cb3a 100644 --- a/src/pipecat/services/google/llm.py +++ b/src/pipecat/services/google/llm.py @@ -44,8 +44,8 @@ from pipecat.processors.aggregators.openai_llm_context import ( OpenAILLMContextFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import LLMService from pipecat.services.google.frames import LLMSearchResponseFrame +from pipecat.services.llm_service import LLMService from pipecat.services.openai.llm import ( OpenAIAssistantContextAggregator, OpenAIUserContextAggregator, diff --git a/src/pipecat/services/google/stt.py b/src/pipecat/services/google/stt.py index 7af994bb2..8c79bb89a 100644 --- a/src/pipecat/services/google/stt.py +++ b/src/pipecat/services/google/stt.py @@ -26,7 +26,7 @@ from pipecat.frames.frames import ( StartFrame, TranscriptionFrame, ) -from pipecat.services.ai_services import STTService +from pipecat.services.stt_service import STTService from pipecat.transcriptions.language import Language from pipecat.utils.time import time_now_iso8601 diff --git a/src/pipecat/services/google/tts.py b/src/pipecat/services/google/tts.py index 36bd27a51..ef9023a8c 100644 --- a/src/pipecat/services/google/tts.py +++ b/src/pipecat/services/google/tts.py @@ -23,7 +23,7 @@ from pipecat.frames.frames import ( TTSStartedFrame, TTSStoppedFrame, ) -from pipecat.services.ai_services import TTSService +from pipecat.services.tts_service import TTSService from pipecat.transcriptions.language import Language try: diff --git a/src/pipecat/services/groq/tts.py b/src/pipecat/services/groq/tts.py index 69429424a..f4f0f308b 100644 --- a/src/pipecat/services/groq/tts.py +++ b/src/pipecat/services/groq/tts.py @@ -10,7 +10,7 @@ from loguru import logger from pydantic import BaseModel from pipecat.frames.frames import Frame, TTSAudioRawFrame, TTSStartedFrame, TTSStoppedFrame -from pipecat.services.ai_services import TTSService +from pipecat.services.tts_service import TTSService from pipecat.transcriptions.language import Language try: diff --git a/src/pipecat/services/image_service.py b/src/pipecat/services/image_service.py new file mode 100644 index 000000000..43dbd0bb5 --- /dev/null +++ b/src/pipecat/services/image_service.py @@ -0,0 +1,33 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +from abc import abstractmethod +from typing import AsyncGenerator + +from pipecat.frames.frames import Frame, TextFrame +from pipecat.processors.frame_processor import FrameDirection +from pipecat.services.ai_service import AIService + + +class ImageGenService(AIService): + def __init__(self, **kwargs): + super().__init__(**kwargs) + + # Renders the image. Returns an Image object. + @abstractmethod + async def run_image_gen(self, prompt: str) -> AsyncGenerator[Frame, None]: + pass + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if isinstance(frame, TextFrame): + await self.push_frame(frame, direction) + await self.start_processing_metrics() + await self.process_generator(self.run_image_gen(frame.text)) + await self.stop_processing_metrics() + else: + await self.push_frame(frame, direction) diff --git a/src/pipecat/services/llm_service.py b/src/pipecat/services/llm_service.py new file mode 100644 index 000000000..7f7238b47 --- /dev/null +++ b/src/pipecat/services/llm_service.py @@ -0,0 +1,257 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +import asyncio +from dataclasses import dataclass +from typing import Any, Mapping, Optional, Set, Tuple, Type + +from loguru import logger + +from pipecat.adapters.base_llm_adapter import BaseLLMAdapter +from pipecat.adapters.services.open_ai_adapter import OpenAILLMAdapter +from pipecat.frames.frames import ( + Frame, + FunctionCallCancelFrame, + FunctionCallInProgressFrame, + FunctionCallResultFrame, + StartInterruptionFrame, + UserImageRequestFrame, +) +from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext +from pipecat.processors.frame_processor import FrameDirection +from pipecat.services.ai_service import AIService + + +@dataclass +class FunctionEntry: + function_name: Optional[str] + callback: Any # TODO(aleix): add proper typing. + cancel_on_interruption: bool + + +class LLMService(AIService): + """This class is a no-op but serves as a base class for LLM services.""" + + # OpenAILLMAdapter is used as the default adapter since it aligns with most LLM implementations. + # However, subclasses should override this with a more specific adapter when necessary. + adapter_class: Type[BaseLLMAdapter] = OpenAILLMAdapter + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self._functions = {} + self._start_callbacks = {} + self._adapter = self.adapter_class() + self._function_call_tasks: Set[Tuple[asyncio.Task, str, str]] = set() + + self._register_event_handler("on_completion_timeout") + + def get_llm_adapter(self) -> BaseLLMAdapter: + return self._adapter + + def create_context_aggregator( + self, + context: OpenAILLMContext, + *, + user_kwargs: Mapping[str, Any] = {}, + assistant_kwargs: Mapping[str, Any] = {}, + ) -> Any: + pass + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if isinstance(frame, StartInterruptionFrame): + await self._handle_interruptions(frame) + + async def _handle_interruptions(self, frame: StartInterruptionFrame): + for function_name, entry in self._functions.items(): + if entry.cancel_on_interruption: + await self._cancel_function_call(function_name) + + def register_function( + self, + function_name: Optional[str], + callback: Any, + start_callback=None, + *, + cancel_on_interruption: bool = False, + ): + # Registering a function with the function_name set to None will run that callback + # for all functions + self._functions[function_name] = FunctionEntry( + function_name=function_name, + callback=callback, + cancel_on_interruption=cancel_on_interruption, + ) + + # Start callbacks are now deprecated. + if start_callback: + import warnings + + with warnings.catch_warnings(): + warnings.simplefilter("always") + warnings.warn( + "Parameter 'start_callback' is deprecated, just put your code on top of the actual function call instead.", + DeprecationWarning, + ) + + self._start_callbacks[function_name] = start_callback + + def unregister_function(self, function_name: Optional[str]): + del self._functions[function_name] + if self._start_callbacks[function_name]: + del self._start_callbacks[function_name] + + def has_function(self, function_name: str): + if None in self._functions.keys(): + return True + return function_name in self._functions.keys() + + async def call_function( + self, + *, + context: OpenAILLMContext, + tool_call_id: str, + function_name: str, + arguments: str, + run_llm: bool = True, + ): + if not function_name in self._functions.keys() and not None in self._functions.keys(): + return + + task = self.create_task( + self._run_function_call(context, tool_call_id, function_name, arguments, run_llm) + ) + + self._function_call_tasks.add((task, tool_call_id, function_name)) + + task.add_done_callback(self._function_call_task_finished) + + async def call_start_function(self, context: OpenAILLMContext, function_name: str): + if function_name in self._start_callbacks.keys(): + await self._start_callbacks[function_name](function_name, self, context) + elif None in self._start_callbacks.keys(): + return await self._start_callbacks[None](function_name, self, context) + + async def request_image_frame( + self, + user_id: str, + *, + function_name: Optional[str] = None, + tool_call_id: Optional[str] = None, + text_content: Optional[str] = None, + ): + await self.push_frame( + UserImageRequestFrame( + user_id=user_id, + function_name=function_name, + tool_call_id=tool_call_id, + context=text_content, + ), + FrameDirection.UPSTREAM, + ) + + async def _run_function_call( + self, + context: OpenAILLMContext, + tool_call_id: str, + function_name: str, + arguments: str, + run_llm: bool = True, + ): + if function_name in self._functions.keys(): + entry = self._functions[function_name] + elif None in self._functions.keys(): + entry = self._functions[None] + else: + return + + logger.debug( + f"{self} Calling function [{function_name}:{tool_call_id}] with arguments {arguments}" + ) + + # NOTE(aleix): This needs to be removed after we remove the deprecation. + await self.call_start_function(context, function_name) + + # Push a SystemFrame downstream. This frame will let our assistant context aggregator + # know that we are in the middle of a function call. Some contexts/aggregators may + # not need this. But some definitely do (Anthropic, for example). + # Also push a SystemFrame upstream for use by other processors, like STTMuteFilter. + progress_frame_downstream = FunctionCallInProgressFrame( + function_name=function_name, + tool_call_id=tool_call_id, + arguments=arguments, + cancel_on_interruption=entry.cancel_on_interruption, + ) + progress_frame_upstream = FunctionCallInProgressFrame( + function_name=function_name, + tool_call_id=tool_call_id, + arguments=arguments, + cancel_on_interruption=entry.cancel_on_interruption, + ) + + # Push frame both downstream and upstream + await self.push_frame(progress_frame_downstream, FrameDirection.DOWNSTREAM) + await self.push_frame(progress_frame_upstream, FrameDirection.UPSTREAM) + + # Define a callback function that pushes a FunctionCallResultFrame upstream & downstream. + async def function_call_result_callback(result, *, properties=None): + result_frame_downstream = FunctionCallResultFrame( + function_name=function_name, + tool_call_id=tool_call_id, + arguments=arguments, + result=result, + properties=properties, + ) + result_frame_upstream = FunctionCallResultFrame( + function_name=function_name, + tool_call_id=tool_call_id, + arguments=arguments, + result=result, + properties=properties, + ) + + await self.push_frame(result_frame_downstream, FrameDirection.DOWNSTREAM) + await self.push_frame(result_frame_upstream, FrameDirection.UPSTREAM) + + await entry.callback( + function_name, tool_call_id, arguments, self, context, function_call_result_callback + ) + + async def _cancel_function_call(self, function_name: str): + cancelled_tasks = set() + for task, tool_call_id, name in self._function_call_tasks: + if name == function_name: + # We remove the callback because we are going to cancel the task + # now, otherwise we will be removing it from the set while we + # are iterating. + task.remove_done_callback(self._function_call_task_finished) + + logger.debug(f"{self} Cancelling function call [{name}:{tool_call_id}]...") + + await self.cancel_task(task) + + frame = FunctionCallCancelFrame( + function_name=function_name, tool_call_id=tool_call_id + ) + await self.push_frame(frame) + + logger.debug(f"{self} Function call [{name}:{tool_call_id}] has been cancelled") + + cancelled_tasks.add(task) + + # Remove all cancelled tasks from our set. + for task in cancelled_tasks: + self._function_call_task_finished(task) + + def _function_call_task_finished(self, task: asyncio.Task): + tuple_to_remove = next((t for t in self._function_call_tasks if t[0] == task), None) + if tuple_to_remove: + self._function_call_tasks.discard(tuple_to_remove) + # The task is finished so this should exit immediately. We need to + # do this because otherwise the task manager would report a dangling + # task if we don't remove it. + asyncio.run_coroutine_threadsafe(self.wait_for_task(task), self.get_event_loop()) diff --git a/src/pipecat/services/lmnt/tts.py b/src/pipecat/services/lmnt/tts.py index 040d526f9..993834bb1 100644 --- a/src/pipecat/services/lmnt/tts.py +++ b/src/pipecat/services/lmnt/tts.py @@ -21,7 +21,7 @@ from pipecat.frames.frames import ( TTSStoppedFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import InterruptibleTTSService +from pipecat.services.tts_service import InterruptibleTTSService from pipecat.transcriptions.language import Language # See .env.example for LMNT configuration needed diff --git a/src/pipecat/services/moondream/vision.py b/src/pipecat/services/moondream/vision.py index 55b5405f4..6fe44a057 100644 --- a/src/pipecat/services/moondream/vision.py +++ b/src/pipecat/services/moondream/vision.py @@ -11,7 +11,7 @@ from loguru import logger from PIL import Image from pipecat.frames.frames import ErrorFrame, Frame, TextFrame, VisionImageRawFrame -from pipecat.services.ai_services import VisionService +from pipecat.services.vision_service import VisionService try: import torch diff --git a/src/pipecat/services/neuphonic/tts.py b/src/pipecat/services/neuphonic/tts.py index 7ac005afc..72fee0021 100644 --- a/src/pipecat/services/neuphonic/tts.py +++ b/src/pipecat/services/neuphonic/tts.py @@ -27,7 +27,7 @@ from pipecat.frames.frames import ( TTSStoppedFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import InterruptibleTTSService, TTSService +from pipecat.services.tts_service import InterruptibleTTSService, TTSService from pipecat.transcriptions.language import Language try: diff --git a/src/pipecat/services/openai/base_llm.py b/src/pipecat/services/openai/base_llm.py index 5343c1eb7..1aba1b159 100644 --- a/src/pipecat/services/openai/base_llm.py +++ b/src/pipecat/services/openai/base_llm.py @@ -34,7 +34,7 @@ from pipecat.processors.aggregators.openai_llm_context import ( OpenAILLMContextFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import LLMService +from pipecat.services.llm_service import LLMService class OpenAIUnhandledFunctionException(Exception): diff --git a/src/pipecat/services/openai/image.py b/src/pipecat/services/openai/image.py index fc0c475f9..3d7f6cb70 100644 --- a/src/pipecat/services/openai/image.py +++ b/src/pipecat/services/openai/image.py @@ -17,7 +17,7 @@ from pipecat.frames.frames import ( Frame, URLImageRawFrame, ) -from pipecat.services.ai_services import ImageGenService +from pipecat.services.image_service import ImageGenService class OpenAIImageGenService(ImageGenService): diff --git a/src/pipecat/services/openai/tts.py b/src/pipecat/services/openai/tts.py index 68644f147..6024310b8 100644 --- a/src/pipecat/services/openai/tts.py +++ b/src/pipecat/services/openai/tts.py @@ -17,7 +17,7 @@ from pipecat.frames.frames import ( TTSStartedFrame, TTSStoppedFrame, ) -from pipecat.services.ai_services import TTSService +from pipecat.services.tts_service import TTSService ValidVoice = Literal["alloy", "echo", "fable", "onyx", "nova", "shimmer"] diff --git a/src/pipecat/services/openai_realtime_beta/openai.py b/src/pipecat/services/openai_realtime_beta/openai.py index 7b10b83fc..6da1a3109 100644 --- a/src/pipecat/services/openai_realtime_beta/openai.py +++ b/src/pipecat/services/openai_realtime_beta/openai.py @@ -53,7 +53,7 @@ from pipecat.processors.aggregators.openai_llm_context import ( OpenAILLMContextFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import LLMService +from pipecat.services.llm_service import LLMService from pipecat.services.openai.llm import OpenAIContextAggregatorPair from pipecat.utils.time import time_now_iso8601 diff --git a/src/pipecat/services/piper/tts.py b/src/pipecat/services/piper/tts.py index 12a936889..3b5d0fa06 100644 --- a/src/pipecat/services/piper/tts.py +++ b/src/pipecat/services/piper/tts.py @@ -16,7 +16,7 @@ from pipecat.frames.frames import ( TTSStartedFrame, TTSStoppedFrame, ) -from pipecat.services.ai_services import TTSService +from pipecat.services.tts_service import TTSService # This assumes a running TTS service running: https://github.com/rhasspy/piper/blob/master/src/python_run/README_http.md diff --git a/src/pipecat/services/playht/tts.py b/src/pipecat/services/playht/tts.py index f7157a950..c2c14c88b 100644 --- a/src/pipecat/services/playht/tts.py +++ b/src/pipecat/services/playht/tts.py @@ -27,7 +27,7 @@ from pipecat.frames.frames import ( TTSStoppedFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import InterruptibleTTSService, TTSService +from pipecat.services.tts_service import InterruptibleTTSService, TTSService from pipecat.transcriptions.language import Language try: diff --git a/src/pipecat/services/rime/tts.py b/src/pipecat/services/rime/tts.py index f5b5da2a6..0e1c7d239 100644 --- a/src/pipecat/services/rime/tts.py +++ b/src/pipecat/services/rime/tts.py @@ -25,7 +25,7 @@ from pipecat.frames.frames import ( TTSStoppedFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import AudioContextWordTTSService, TTSService +from pipecat.services.tts_service import AudioContextWordTTSService, TTSService from pipecat.transcriptions.language import Language from pipecat.utils.text.base_text_aggregator import BaseTextAggregator from pipecat.utils.text.skip_tags_aggregator import SkipTagsAggregator diff --git a/src/pipecat/services/riva/stt.py b/src/pipecat/services/riva/stt.py index 63eea8230..6328bcb65 100644 --- a/src/pipecat/services/riva/stt.py +++ b/src/pipecat/services/riva/stt.py @@ -18,7 +18,7 @@ from pipecat.frames.frames import ( StartFrame, TranscriptionFrame, ) -from pipecat.services.ai_services import STTService +from pipecat.services.stt_service import STTService from pipecat.transcriptions.language import Language from pipecat.utils.time import time_now_iso8601 diff --git a/src/pipecat/services/riva/tts.py b/src/pipecat/services/riva/tts.py index e0da3ab98..ac123de4f 100644 --- a/src/pipecat/services/riva/tts.py +++ b/src/pipecat/services/riva/tts.py @@ -16,7 +16,7 @@ from pipecat.frames.frames import ( TTSStartedFrame, TTSStoppedFrame, ) -from pipecat.services.ai_services import TTSService +from pipecat.services.tts_service import TTSService from pipecat.transcriptions.language import Language try: diff --git a/src/pipecat/services/stt_service.py b/src/pipecat/services/stt_service.py new file mode 100644 index 000000000..56367f46e --- /dev/null +++ b/src/pipecat/services/stt_service.py @@ -0,0 +1,171 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +import io +import wave +from abc import abstractmethod +from typing import Any, AsyncGenerator, Dict, Mapping, Optional + +from loguru import logger + +from pipecat.frames.frames import ( + AudioRawFrame, + Frame, + StartFrame, + STTMuteFrame, + STTUpdateSettingsFrame, + UserStartedSpeakingFrame, + UserStoppedSpeakingFrame, +) +from pipecat.processors.frame_processor import FrameDirection +from pipecat.services.ai_service import AIService +from pipecat.transcriptions.language import Language + + +class STTService(AIService): + """STTService is a base class for speech-to-text services.""" + + def __init__( + self, + audio_passthrough=False, + # STT input sample rate + sample_rate: Optional[int] = None, + **kwargs, + ): + super().__init__(**kwargs) + self._audio_passthrough = audio_passthrough + self._init_sample_rate = sample_rate + self._sample_rate = 0 + self._settings: Dict[str, Any] = {} + self._muted: bool = False + + @property + def is_muted(self) -> bool: + """Returns whether the STT service is currently muted.""" + return self._muted + + @property + def sample_rate(self) -> int: + return self._sample_rate + + async def set_model(self, model: str): + self.set_model_name(model) + + async def set_language(self, language: Language): + pass + + @abstractmethod + async def run_stt(self, audio: bytes) -> AsyncGenerator[Frame, None]: + """Returns transcript as a string""" + pass + + async def start(self, frame: StartFrame): + await super().start(frame) + self._sample_rate = self._init_sample_rate or frame.audio_in_sample_rate + + async def _update_settings(self, settings: Mapping[str, Any]): + logger.info(f"Updating STT settings: {self._settings}") + for key, value in settings.items(): + if key in self._settings: + logger.info(f"Updating STT setting {key} to: [{value}]") + self._settings[key] = value + if key == "language": + await self.set_language(value) + elif key == "model": + self.set_model_name(value) + else: + logger.warning(f"Unknown setting for STT service: {key}") + + async def process_audio_frame(self, frame: AudioRawFrame, direction: FrameDirection): + if self._muted: + return + + await self.process_generator(self.run_stt(frame.audio)) + + async def process_frame(self, frame: Frame, direction: FrameDirection): + """Processes a frame of audio data, either buffering or transcribing it.""" + await super().process_frame(frame, direction) + + if isinstance(frame, AudioRawFrame): + # In this service we accumulate audio internally and at the end we + # push a TextFrame. We also push audio downstream in case someone + # else needs it. + await self.process_audio_frame(frame, direction) + if self._audio_passthrough: + await self.push_frame(frame, direction) + elif isinstance(frame, STTUpdateSettingsFrame): + await self._update_settings(frame.settings) + elif isinstance(frame, STTMuteFrame): + self._muted = frame.mute + logger.debug(f"STT service {'muted' if frame.mute else 'unmuted'}") + else: + await self.push_frame(frame, direction) + + +class SegmentedSTTService(STTService): + """SegmentedSTTService is an STTService that uses VAD events to detect + speech and will run speech-to-text on speech segments only, instead of a + continous stream. Since it uses VAD it means that VAD needs to be enabled in + the pipeline. + + This service always keeps a small audio buffer to take into account that VAD + events are delayed from when the user speech really starts. + + """ + + def __init__(self, *, sample_rate: Optional[int] = None, **kwargs): + super().__init__(sample_rate=sample_rate, **kwargs) + self._content = None + self._wave = None + self._audio_buffer = bytearray() + self._audio_buffer_size_1s = 0 + self._user_speaking = False + + async def start(self, frame: StartFrame): + await super().start(frame) + self._audio_buffer_size_1s = self.sample_rate * 2 + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if isinstance(frame, UserStartedSpeakingFrame): + await self._handle_user_started_speaking(frame) + elif isinstance(frame, UserStoppedSpeakingFrame): + await self._handle_user_stopped_speaking(frame) + + async def _handle_user_started_speaking(self, frame: UserStartedSpeakingFrame): + if frame.emulated: + return + self._user_speaking = True + + async def _handle_user_stopped_speaking(self, frame: UserStoppedSpeakingFrame): + if frame.emulated: + return + + self._user_speaking = False + + content = io.BytesIO() + wav = wave.open(content, "wb") + wav.setsampwidth(2) + wav.setnchannels(1) + wav.setframerate(self.sample_rate) + wav.writeframes(self._audio_buffer) + wav.close() + content.seek(0) + + await self.process_generator(self.run_stt(content.read())) + + # Start clean. + self._audio_buffer.clear() + + async def process_audio_frame(self, frame: AudioRawFrame, direction: FrameDirection): + # If the user is speaking the audio buffer will keep growing. + self._audio_buffer += frame.audio + + # If the user is not speaking we keep just a little bit of audio. + if not self._user_speaking and len(self._audio_buffer) > self._audio_buffer_size_1s: + discarded = len(self._audio_buffer) - self._audio_buffer_size_1s + self._audio_buffer = self._audio_buffer[discarded:] diff --git a/src/pipecat/services/tavus/video.py b/src/pipecat/services/tavus/video.py index 27b1d7155..cbc31a2ba 100644 --- a/src/pipecat/services/tavus/video.py +++ b/src/pipecat/services/tavus/video.py @@ -23,7 +23,7 @@ from pipecat.frames.frames import ( TTSStoppedFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import AIService +from pipecat.services.ai_service import AIService class TavusVideoService(AIService): diff --git a/src/pipecat/services/tts_service.py b/src/pipecat/services/tts_service.py new file mode 100644 index 000000000..344ba9704 --- /dev/null +++ b/src/pipecat/services/tts_service.py @@ -0,0 +1,602 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +import asyncio +from abc import abstractmethod +from typing import Any, AsyncGenerator, Dict, List, Mapping, Optional, Sequence, Tuple + +from loguru import logger + +from pipecat.frames.frames import ( + BotStartedSpeakingFrame, + BotStoppedSpeakingFrame, + CancelFrame, + EndFrame, + ErrorFrame, + Frame, + InterimTranscriptionFrame, + LLMFullResponseEndFrame, + StartFrame, + StartInterruptionFrame, + TextFrame, + TranscriptionFrame, + TTSAudioRawFrame, + TTSSpeakFrame, + TTSStartedFrame, + TTSStoppedFrame, + TTSTextFrame, + TTSUpdateSettingsFrame, +) +from pipecat.processors.frame_processor import FrameDirection +from pipecat.services.ai_service import AIService +from pipecat.services.websocket_service import WebsocketService +from pipecat.transcriptions.language import Language +from pipecat.utils.text.base_text_aggregator import BaseTextAggregator +from pipecat.utils.text.base_text_filter import BaseTextFilter +from pipecat.utils.text.simple_text_aggregator import SimpleTextAggregator +from pipecat.utils.time import seconds_to_nanoseconds + + +class TTSService(AIService): + def __init__( + self, + *, + aggregate_sentences: bool = True, + # if True, TTSService will push TextFrames and LLMFullResponseEndFrames, + # otherwise subclass must do it + push_text_frames: bool = True, + # if True, TTSService will push TTSStoppedFrames, otherwise subclass must do it + push_stop_frames: bool = False, + # if push_stop_frames is True, wait for this idle period before pushing TTSStoppedFrame + stop_frame_timeout_s: float = 2.0, + # if True, TTSService will push silence audio frames after TTSStoppedFrame + push_silence_after_stop: bool = False, + # if push_silence_after_stop is True, send this amount of audio silence + silence_time_s: float = 2.0, + # if True, we will pause processing frames while we are receiving audio + pause_frame_processing: bool = False, + # TTS output sample rate + sample_rate: Optional[int] = None, + # Text aggregator to aggregate incoming tokens and decide when to push to the TTS. + text_aggregator: Optional[BaseTextAggregator] = None, + # Text filter executed after text has been aggregated. + text_filters: Sequence[BaseTextFilter] = [], + text_filter: Optional[BaseTextFilter] = None, + **kwargs, + ): + super().__init__(**kwargs) + self._aggregate_sentences: bool = aggregate_sentences + self._push_text_frames: bool = push_text_frames + self._push_stop_frames: bool = push_stop_frames + self._stop_frame_timeout_s: float = stop_frame_timeout_s + self._push_silence_after_stop: bool = push_silence_after_stop + self._silence_time_s: float = silence_time_s + self._pause_frame_processing: bool = pause_frame_processing + self._init_sample_rate = sample_rate + self._sample_rate = 0 + self._voice_id: str = "" + self._settings: Dict[str, Any] = {} + self._text_aggregator: BaseTextAggregator = text_aggregator or SimpleTextAggregator() + self._text_filters: Sequence[BaseTextFilter] = text_filters + if text_filter: + import warnings + + with warnings.catch_warnings(): + warnings.simplefilter("always") + warnings.warn( + "Parameter 'text_filter' is deprecated, use 'text_filters' instead.", + DeprecationWarning, + ) + self._text_filters = [text_filter] + + self._stop_frame_task: Optional[asyncio.Task] = None + self._stop_frame_queue: asyncio.Queue = asyncio.Queue() + + self._processing_text: bool = False + + @property + def sample_rate(self) -> int: + return self._sample_rate + + async def set_model(self, model: str): + self.set_model_name(model) + + def set_voice(self, voice: str): + self._voice_id = voice + + # Converts the text to audio. + @abstractmethod + async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]: + pass + + def language_to_service_language(self, language: Language) -> Optional[str]: + return Language(language) + + async def update_setting(self, key: str, value: Any): + pass + + async def flush_audio(self): + pass + + async def start(self, frame: StartFrame): + await super().start(frame) + self._sample_rate = self._init_sample_rate or frame.audio_out_sample_rate + if self._push_stop_frames and not self._stop_frame_task: + self._stop_frame_task = self.create_task(self._stop_frame_handler()) + + async def stop(self, frame: EndFrame): + await super().stop(frame) + if self._stop_frame_task: + await self.cancel_task(self._stop_frame_task) + self._stop_frame_task = None + + async def cancel(self, frame: CancelFrame): + await super().cancel(frame) + if self._stop_frame_task: + await self.cancel_task(self._stop_frame_task) + self._stop_frame_task = None + + async def _update_settings(self, settings: Mapping[str, Any]): + for key, value in settings.items(): + if key in self._settings: + logger.info(f"Updating TTS setting {key} to: [{value}]") + self._settings[key] = value + if key == "language": + self._settings[key] = self.language_to_service_language(value) + elif key == "model": + self.set_model_name(value) + elif key == "voice": + self.set_voice(value) + elif key == "text_filter": + for filter in self._text_filters: + filter.update_settings(value) + else: + logger.warning(f"Unknown setting for TTS service: {key}") + + async def say(self, text: str): + await self.queue_frame(TTSSpeakFrame(text)) + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if ( + isinstance(frame, TextFrame) + and not isinstance(frame, InterimTranscriptionFrame) + and not isinstance(frame, TranscriptionFrame) + ): + await self._process_text_frame(frame) + elif isinstance(frame, StartInterruptionFrame): + await self._handle_interruption(frame, direction) + await self.push_frame(frame, direction) + elif isinstance(frame, (LLMFullResponseEndFrame, EndFrame)): + # We pause processing incoming frames if the LLM response included + # text (it might be that it's only a function calling response). We + # pause to avoid audio overlapping. + await self._maybe_pause_frame_processing() + + sentence = self._text_aggregator.text + self._text_aggregator.reset() + self._processing_text = False + await self._push_tts_frames(sentence) + if isinstance(frame, LLMFullResponseEndFrame): + if self._push_text_frames: + await self.push_frame(frame, direction) + else: + await self.push_frame(frame, direction) + elif isinstance(frame, TTSSpeakFrame): + # Store if we were processing text or not so we can set it back. + processing_text = self._processing_text + await self._push_tts_frames(frame.text) + # We pause processing incoming frames because we are sending data to + # the TTS. We pause to avoid audio overlapping. + await self._maybe_pause_frame_processing() + await self.flush_audio() + self._processing_text = processing_text + elif isinstance(frame, TTSUpdateSettingsFrame): + await self._update_settings(frame.settings) + elif isinstance(frame, BotStoppedSpeakingFrame): + await self._maybe_resume_frame_processing() + await self.push_frame(frame, direction) + else: + await self.push_frame(frame, direction) + + async def push_frame(self, frame: Frame, direction: FrameDirection = FrameDirection.DOWNSTREAM): + if self._push_silence_after_stop and isinstance(frame, TTSStoppedFrame): + silence_num_bytes = int(self._silence_time_s * self.sample_rate * 2) # 16-bit + await self.push_frame( + TTSAudioRawFrame( + audio=b"\x00" * silence_num_bytes, + sample_rate=self.sample_rate, + num_channels=1, + ) + ) + + await super().push_frame(frame, direction) + + if self._push_stop_frames and ( + isinstance(frame, StartInterruptionFrame) + or isinstance(frame, TTSStartedFrame) + or isinstance(frame, TTSAudioRawFrame) + or isinstance(frame, TTSStoppedFrame) + ): + await self._stop_frame_queue.put(frame) + + async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection): + self._processing_text = False + self._text_aggregator.handle_interruption() + for filter in self._text_filters: + filter.handle_interruption() + + async def _maybe_pause_frame_processing(self): + if self._processing_text and self._pause_frame_processing: + await self.pause_processing_frames() + + async def _maybe_resume_frame_processing(self): + if self._pause_frame_processing: + await self.resume_processing_frames() + + async def _process_text_frame(self, frame: TextFrame): + text: Optional[str] = None + if not self._aggregate_sentences: + text = frame.text + else: + text = self._text_aggregator.aggregate(frame.text) + + if text: + await self._push_tts_frames(text) + + async def _push_tts_frames(self, text: str): + # Remove leading newlines only + text = text.lstrip("\n") + + # Don't send only whitespace. This causes problems for some TTS models. But also don't + # strip all whitespace, as whitespace can influence prosody. + if not text.strip(): + return + + # This is just a flag that indicates if we sent something to the TTS + # service. It will be cleared if we sent text because of a TTSSpeakFrame + # or when we received an LLMFullResponseEndFrame + self._processing_text = True + + await self.start_processing_metrics() + + # Process all filter. + for filter in self._text_filters: + filter.reset_interruption() + text = filter.filter(text) + + await self.process_generator(self.run_tts(text)) + + await self.stop_processing_metrics() + + if self._push_text_frames: + # We send the original text after the audio. This way, if we are + # interrupted, the text is not added to the assistant context. + await self.push_frame(TTSTextFrame(text)) + + async def _stop_frame_handler(self): + has_started = False + while True: + try: + frame = await asyncio.wait_for( + self._stop_frame_queue.get(), self._stop_frame_timeout_s + ) + if isinstance(frame, TTSStartedFrame): + has_started = True + elif isinstance(frame, (TTSStoppedFrame, StartInterruptionFrame)): + has_started = False + except asyncio.TimeoutError: + if has_started: + await self.push_frame(TTSStoppedFrame()) + has_started = False + + +class WordTTSService(TTSService): + """This is a base class for TTS services that support word timestamps. Word + timestamps are useful to synchronize audio with text of the spoken + words. This way only the spoken words are added to the conversation context. + + """ + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self._initial_word_timestamp = -1 + self._words_queue = asyncio.Queue() + self._words_task = None + + def start_word_timestamps(self): + if self._initial_word_timestamp == -1: + self._initial_word_timestamp = self.get_clock().get_time() + + def reset_word_timestamps(self): + self._initial_word_timestamp = -1 + + async def add_word_timestamps(self, word_times: List[Tuple[str, float]]): + for word, timestamp in word_times: + await self._words_queue.put((word, seconds_to_nanoseconds(timestamp))) + + async def start(self, frame: StartFrame): + await super().start(frame) + self._create_words_task() + + async def stop(self, frame: EndFrame): + await super().stop(frame) + await self._stop_words_task() + + async def cancel(self, frame: CancelFrame): + await super().cancel(frame) + await self._stop_words_task() + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if isinstance(frame, (LLMFullResponseEndFrame, EndFrame)): + await self.flush_audio() + + async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection): + await super()._handle_interruption(frame, direction) + self.reset_word_timestamps() + + def _create_words_task(self): + if not self._words_task: + self._words_task = self.create_task(self._words_task_handler()) + + async def _stop_words_task(self): + if self._words_task: + await self.cancel_task(self._words_task) + self._words_task = None + + async def _words_task_handler(self): + last_pts = 0 + while True: + (word, timestamp) = await self._words_queue.get() + if word == "Reset" and timestamp == 0: + self.reset_word_timestamps() + frame = None + elif word == "LLMFullResponseEndFrame" and timestamp == 0: + frame = LLMFullResponseEndFrame() + frame.pts = last_pts + elif word == "TTSStoppedFrame" and timestamp == 0: + frame = TTSStoppedFrame() + frame.pts = last_pts + else: + frame = TTSTextFrame(word) + frame.pts = self._initial_word_timestamp + timestamp + if frame: + last_pts = frame.pts + await self.push_frame(frame) + self._words_queue.task_done() + + +class WebsocketTTSService(TTSService, WebsocketService): + """This is a base class for websocket-based TTS services. + + If an error occurs with the websocket, an "on_connection_error" event will + be triggered: + + @tts.event_handler("on_connection_error") + async def on_connection_error(tts: TTSService, error: str): + ... + + """ + + def __init__(self, *, reconnect_on_error: bool = True, **kwargs): + TTSService.__init__(self, **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): + await self._call_event_handler("on_connection_error", error.error) + await self.push_error(error) + + +class InterruptibleTTSService(WebsocketTTSService): + """This is a base class for websocket-based TTS services that don't support + word timestamps and that don't offer a way to correlate the generated audio + to the requested text. + + """ + + def __init__(self, **kwargs): + super().__init__(**kwargs) + + # Indicates if the bot is speaking. If the bot is not speaking we don't + # need to reconnect when the user speaks. If the bot is speaking and the + # user interrupts we need to reconnect. + self._bot_speaking = False + + async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection): + await super()._handle_interruption(frame, direction) + if self._bot_speaking: + await self._disconnect() + await self._connect() + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if isinstance(frame, BotStartedSpeakingFrame): + self._bot_speaking = True + elif isinstance(frame, BotStoppedSpeakingFrame): + self._bot_speaking = False + + +class WebsocketWordTTSService(WordTTSService, WebsocketService): + """This is a base class for websocket-based TTS services that support word + timestamps. + + If an error occurs with the websocket a "on_connection_error" event will be + triggered: + + @tts.event_handler("on_connection_error") + async def on_connection_error(tts: TTSService, error: str): + ... + + """ + + def __init__(self, *, reconnect_on_error: bool = True, **kwargs): + WordTTSService.__init__(self, **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): + await self._call_event_handler("on_connection_error", error.error) + await self.push_error(error) + + +class InterruptibleWordTTSService(WebsocketWordTTSService): + """This is a base class for websocket-based TTS services that support word + timestamps but don't offer a way to correlate the generated audio to the + requested text. + + """ + + def __init__(self, **kwargs): + super().__init__(**kwargs) + + # Indicates if the bot is speaking. If the bot is not speaking we don't + # need to reconnect when the user speaks. If the bot is speaking and the + # user interrupts we need to reconnect. + self._bot_speaking = False + + async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection): + await super()._handle_interruption(frame, direction) + if self._bot_speaking: + await self._disconnect() + await self._connect() + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if isinstance(frame, BotStartedSpeakingFrame): + self._bot_speaking = True + elif isinstance(frame, BotStoppedSpeakingFrame): + self._bot_speaking = False + + +class AudioContextWordTTSService(WebsocketWordTTSService): + """This is a base class for websocket-based TTS services that support word + timestamps and also allow correlating the generated audio with the requested + text. + + Each request could be multiple sentences long which are grouped by + context. For this to work, the TTS service needs to support handling + multiple requests at once (i.e. multiple simultaneous contexts). + + The audio received from the TTS will be played in context order. That is, if + we requested audio for a context "A" and then audio for context "B", the + audio from context ID "A" will be played first. + + """ + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self._contexts_queue = asyncio.Queue() + self._contexts: Dict[str, asyncio.Queue] = {} + self._audio_context_task = None + + async def create_audio_context(self, context_id: str): + """Create a new audio context.""" + await self._contexts_queue.put(context_id) + self._contexts[context_id] = asyncio.Queue() + logger.trace(f"{self} created audio context {context_id}") + + async def append_to_audio_context(self, context_id: str, frame: TTSAudioRawFrame): + """Append audio to an existing context.""" + if self.audio_context_available(context_id): + logger.trace(f"{self} appending audio {frame} to audio context {context_id}") + await self._contexts[context_id].put(frame) + else: + logger.warning(f"{self} unable to append audio to context {context_id}") + + async def remove_audio_context(self, context_id: str): + """Remove an existing audio context.""" + if self.audio_context_available(context_id): + # We just mark the audio context for deletion by appending + # None. Once we reach None while handling audio we know we can + # safely remove the context. + logger.trace(f"{self} marking audio context {context_id} for deletion") + await self._contexts[context_id].put(None) + else: + logger.warning(f"{self} unable to remove context {context_id}") + + def audio_context_available(self, context_id: str) -> bool: + """Checks whether the given audio context is registered.""" + return context_id in self._contexts + + async def start(self, frame: StartFrame): + await super().start(frame) + self._create_audio_context_task() + + async def stop(self, frame: EndFrame): + await super().stop(frame) + if self._audio_context_task: + # Indicate no more audio contexts are available. this will end the + # task cleanly after all contexts have been processed. + await self._contexts_queue.put(None) + await self.wait_for_task(self._audio_context_task) + self._audio_context_task = None + + async def cancel(self, frame: CancelFrame): + await super().cancel(frame) + await self._stop_audio_context_task() + + async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection): + await super()._handle_interruption(frame, direction) + await self._stop_audio_context_task() + self._create_audio_context_task() + + def _create_audio_context_task(self): + if not self._audio_context_task: + self._contexts_queue = asyncio.Queue() + self._contexts: Dict[str, asyncio.Queue] = {} + self._audio_context_task = self.create_task(self._audio_context_task_handler()) + + async def _stop_audio_context_task(self): + if self._audio_context_task: + await self.cancel_task(self._audio_context_task) + self._audio_context_task = None + + async def _audio_context_task_handler(self): + """In this task we process audio contexts in order.""" + running = True + while running: + context_id = await self._contexts_queue.get() + + if context_id: + # Process the audio context until the context doesn't have more + # audio available (i.e. we find None). + await self._handle_audio_context(context_id) + + # We just finished processing the context, so we can safely remove it. + del self._contexts[context_id] + + # Append some silence between sentences. + silence = b"\x00" * self.sample_rate + frame = TTSAudioRawFrame( + audio=silence, sample_rate=self.sample_rate, num_channels=1 + ) + await self.push_frame(frame) + else: + running = False + + self._contexts_queue.task_done() + + async def _handle_audio_context(self, context_id: str): + # If we don't receive any audio during this time, we consider the context finished. + AUDIO_CONTEXT_TIMEOUT = 3.0 + queue = self._contexts[context_id] + running = True + while running: + try: + frame = await asyncio.wait_for(queue.get(), timeout=AUDIO_CONTEXT_TIMEOUT) + if frame: + await self.push_frame(frame) + running = frame is not None + except asyncio.TimeoutError: + # We didn't get audio, so let's consider this context finished. + logger.trace(f"{self} time out on audio context {context_id}") + break diff --git a/src/pipecat/services/ultravox/stt.py b/src/pipecat/services/ultravox/stt.py index 52a5d05eb..ef5cafb3f 100644 --- a/src/pipecat/services/ultravox/stt.py +++ b/src/pipecat/services/ultravox/stt.py @@ -29,7 +29,7 @@ from pipecat.frames.frames import ( UserStoppedSpeakingFrame, ) from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import AIService +from pipecat.services.ai_service import AIService try: from transformers import AutoTokenizer diff --git a/src/pipecat/services/vision_service.py b/src/pipecat/services/vision_service.py new file mode 100644 index 000000000..23eb79c4e --- /dev/null +++ b/src/pipecat/services/vision_service.py @@ -0,0 +1,34 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +from abc import abstractmethod +from typing import AsyncGenerator + +from pipecat.frames.frames import Frame, VisionImageRawFrame +from pipecat.processors.frame_processor import FrameDirection +from pipecat.services.ai_service import AIService + + +class VisionService(AIService): + """VisionService is a base class for vision services.""" + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self._describe_text = None + + @abstractmethod + async def run_vision(self, frame: VisionImageRawFrame) -> AsyncGenerator[Frame, None]: + pass + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if isinstance(frame, VisionImageRawFrame): + await self.start_processing_metrics() + await self.process_generator(self.run_vision(frame)) + await self.stop_processing_metrics() + else: + await self.push_frame(frame, direction) diff --git a/src/pipecat/services/whisper/base_stt.py b/src/pipecat/services/whisper/base_stt.py index 146fd4f39..95d14bbe5 100644 --- a/src/pipecat/services/whisper/base_stt.py +++ b/src/pipecat/services/whisper/base_stt.py @@ -11,7 +11,7 @@ from openai import AsyncOpenAI from openai.types.audio import Transcription from pipecat.frames.frames import ErrorFrame, Frame, TranscriptionFrame -from pipecat.services.ai_services import SegmentedSTTService +from pipecat.services.stt_service import SegmentedSTTService from pipecat.transcriptions.language import Language from pipecat.utils.time import time_now_iso8601 diff --git a/src/pipecat/services/whisper/stt.py b/src/pipecat/services/whisper/stt.py index 473a53406..4026dbea1 100644 --- a/src/pipecat/services/whisper/stt.py +++ b/src/pipecat/services/whisper/stt.py @@ -15,7 +15,7 @@ from loguru import logger from typing_extensions import TYPE_CHECKING, override from pipecat.frames.frames import ErrorFrame, Frame, TranscriptionFrame -from pipecat.services.ai_services import SegmentedSTTService +from pipecat.services.stt_service import SegmentedSTTService from pipecat.transcriptions.language import Language from pipecat.utils.time import time_now_iso8601 diff --git a/src/pipecat/services/xtts/tts.py b/src/pipecat/services/xtts/tts.py index d2702d520..5e08732a9 100644 --- a/src/pipecat/services/xtts/tts.py +++ b/src/pipecat/services/xtts/tts.py @@ -18,7 +18,7 @@ from pipecat.frames.frames import ( TTSStartedFrame, TTSStoppedFrame, ) -from pipecat.services.ai_services import TTSService +from pipecat.services.tts_service import TTSService from pipecat.transcriptions.language import Language # The server below can connect to XTTS through a local running docker diff --git a/tests/integration/test_integration_unified_function_calling.py b/tests/integration/test_integration_unified_function_calling.py index bf3e7b00a..26dcb0d73 100644 --- a/tests/integration/test_integration_unified_function_calling.py +++ b/tests/integration/test_integration_unified_function_calling.py @@ -17,9 +17,9 @@ from pipecat.processors.aggregators.openai_llm_context import ( OpenAILLMContext, OpenAILLMContextFrame, ) -from pipecat.services.ai_services import LLMService from pipecat.services.anthropic.llm import AnthropicLLMService from pipecat.services.google.llm import GoogleLLMService +from pipecat.services.llm_service import LLMService from pipecat.services.openai.llm import OpenAILLMService from pipecat.tests.utils import run_test From ed387e876a259f7f3e855830fcbc51d91f434844 Mon Sep 17 00:00:00 2001 From: milo157 <43028253+milo157@users.noreply.github.com> Date: Tue, 1 Apr 2025 00:03:26 +0200 Subject: [PATCH 07/33] Merge pull request #1486 from CerebriumAI/feature/ultravox Feature/ultravox - bug fixes --- .../foundational/07u-interruptible-ultravox.py | 2 +- src/pipecat/services/ultravox/stt.py | 18 ++++++++++++------ tests/test_piper_tts.py | 6 +++--- tests/test_user_idle_processor.py | 6 +++--- 4 files changed, 19 insertions(+), 13 deletions(-) diff --git a/examples/foundational/07u-interruptible-ultravox.py b/examples/foundational/07u-interruptible-ultravox.py index 1b3f853e0..0c9821196 100644 --- a/examples/foundational/07u-interruptible-ultravox.py +++ b/examples/foundational/07u-interruptible-ultravox.py @@ -34,7 +34,7 @@ logger.add(sys.stderr, level="DEBUG") # Want to initialize the ultravox processor since it takes time to load the model and dont # want to load it every time the pipeline is run ultravox_processor = UltravoxSTTService( - model_size="fixie-ai/ultravox-v0_4_1-llama-3_1-8b", + model_name="fixie-ai/ultravox-v0_5-llama-3_1-8b", hf_token=os.getenv("HF_TOKEN"), ) diff --git a/src/pipecat/services/ultravox/stt.py b/src/pipecat/services/ultravox/stt.py index ef5cafb3f..9f1cab832 100644 --- a/src/pipecat/services/ultravox/stt.py +++ b/src/pipecat/services/ultravox/stt.py @@ -17,6 +17,13 @@ from loguru import logger from pipecat.frames.frames import ( AudioRawFrame, + LLMFullResponseEndFrame, + LLMFullResponseStartFrame, + LLMTextFrame, + TranscriptionFrame, + TextFrame, + StartFrame, + EndFrame, CancelFrame, EndFrame, ErrorFrame, @@ -177,7 +184,7 @@ class UltravoxSTTService(AIService): to generate text transcriptions. Args: - model_size: The Ultravox model to use (ModelSize enum or string) + model_name: The Ultravox model to use (ModelSize enum or string) hf_token: Hugging Face token for model access temperature: Sampling temperature for generation max_tokens: Maximum tokens to generate @@ -194,7 +201,7 @@ class UltravoxSTTService(AIService): def __init__( self, *, - model_size: str = "fixie-ai/ultravox-v0_4_1-llama-3_1-8b", + model_name: str = "fixie-ai/ultravox-v0_5-llama-3_1-8b", hf_token: Optional[str] = None, temperature: float = 0.7, max_tokens: int = 100, @@ -211,7 +218,6 @@ class UltravoxSTTService(AIService): logger.warning("No Hugging Face token provided. Model may not load correctly.") # Initialize model - model_name = model_size if isinstance(model_size, str) else model_size.value self._model = UltravoxModel(model_name=model_name) # Initialize service state @@ -356,10 +362,10 @@ class UltravoxSTTService(AIService): await self.start_ttfb_metrics() await self.start_processing_metrics() - async for response in self.model.generate( + async for response in self._model.generate( messages=[{"role": "user", "content": "<|audio|>\n"}], - temperature=self.temperature, - max_tokens=self.max_tokens, + temperature=self._temperature, + max_tokens=self._max_tokens, audio=audio_float32, ): # Stop TTFB metrics after first response diff --git a/tests/test_piper_tts.py b/tests/test_piper_tts.py index 673ea087a..f433fea19 100644 --- a/tests/test_piper_tts.py +++ b/tests/test_piper_tts.py @@ -133,6 +133,6 @@ async def test_run_piper_tts_error(aiohttp_client): up_frames = frames_received[1] assert isinstance(up_frames[0], ErrorFrame), "Must receive an ErrorFrame for 404" - assert "status: 404" in up_frames[0].error, ( - "ErrorFrame should contain details about the 404" - ) + assert ( + "status: 404" in up_frames[0].error + ), "ErrorFrame should contain details about the 404" diff --git a/tests/test_user_idle_processor.py b/tests/test_user_idle_processor.py index a2f2fd386..7ea6f8744 100644 --- a/tests/test_user_idle_processor.py +++ b/tests/test_user_idle_processor.py @@ -86,9 +86,9 @@ class TestUserIdleProcessor(unittest.IsolatedAsyncioTestCase): expected_down_frames=expected_down_frames, ) - assert not callback_called.is_set(), ( - "Idle callback was called even though bot speaking frames reset the timer" - ) + assert ( + not callback_called.is_set() + ), "Idle callback was called even though bot speaking frames reset the timer" async def test_idle_retry_callback(self): """Test that retry count increases until user activity resets it.""" From 648bdea64c20f5b842c21abcd20183514a70e032 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Mon, 31 Mar 2025 15:04:45 -0700 Subject: [PATCH 08/33] fix formatting --- tests/test_piper_tts.py | 6 +++--- tests/test_user_idle_processor.py | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/test_piper_tts.py b/tests/test_piper_tts.py index f433fea19..673ea087a 100644 --- a/tests/test_piper_tts.py +++ b/tests/test_piper_tts.py @@ -133,6 +133,6 @@ async def test_run_piper_tts_error(aiohttp_client): up_frames = frames_received[1] assert isinstance(up_frames[0], ErrorFrame), "Must receive an ErrorFrame for 404" - assert ( - "status: 404" in up_frames[0].error - ), "ErrorFrame should contain details about the 404" + assert "status: 404" in up_frames[0].error, ( + "ErrorFrame should contain details about the 404" + ) diff --git a/tests/test_user_idle_processor.py b/tests/test_user_idle_processor.py index 7ea6f8744..a2f2fd386 100644 --- a/tests/test_user_idle_processor.py +++ b/tests/test_user_idle_processor.py @@ -86,9 +86,9 @@ class TestUserIdleProcessor(unittest.IsolatedAsyncioTestCase): expected_down_frames=expected_down_frames, ) - assert ( - not callback_called.is_set() - ), "Idle callback was called even though bot speaking frames reset the timer" + assert not callback_called.is_set(), ( + "Idle callback was called even though bot speaking frames reset the timer" + ) async def test_idle_retry_callback(self): """Test that retry count increases until user activity resets it.""" From d3b9a0aab00ee1947325714def23d284ce998ba7 Mon Sep 17 00:00:00 2001 From: Filipi Fuchter Date: Mon, 31 Mar 2025 19:17:40 -0300 Subject: [PATCH 09/33] Fixing ruff format. --- src/pipecat/services/ultravox/stt.py | 7 ------- 1 file changed, 7 deletions(-) diff --git a/src/pipecat/services/ultravox/stt.py b/src/pipecat/services/ultravox/stt.py index 9f1cab832..4b9c3b16e 100644 --- a/src/pipecat/services/ultravox/stt.py +++ b/src/pipecat/services/ultravox/stt.py @@ -17,13 +17,6 @@ from loguru import logger from pipecat.frames.frames import ( AudioRawFrame, - LLMFullResponseEndFrame, - LLMFullResponseStartFrame, - LLMTextFrame, - TranscriptionFrame, - TextFrame, - StartFrame, - EndFrame, CancelFrame, EndFrame, ErrorFrame, From 20a1dd066d8f53c70c9c75e6f239df250f547cc2 Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Mon, 31 Mar 2025 19:02:28 -0400 Subject: [PATCH 10/33] Update GladiaSTTService default model --- CHANGELOG.md | 3 ++- src/pipecat/services/gladia/stt.py | 5 +++-- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index d23e82373..87381abf8 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -69,7 +69,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 be found in `pipecat.services.[ai_service,image_service,llm_service,stt_service,vision_service]`. -- `GladiaSTTService` now uses Gladia's default values. +- `GladiaSTTService` now uses the `solaria-1` model by default. Other params + use Gladia's default values. ### Fixed diff --git a/src/pipecat/services/gladia/stt.py b/src/pipecat/services/gladia/stt.py index 119e50630..80affacb2 100644 --- a/src/pipecat/services/gladia/stt.py +++ b/src/pipecat/services/gladia/stt.py @@ -169,7 +169,7 @@ class GladiaSTTService(STTService): url: str = "https://api.gladia.io/v2/live", confidence: float = 0.5, sample_rate: Optional[int] = None, - model: str = "fast", + model: str = "solaria-1", params: GladiaInputParams = GladiaInputParams(), **kwargs, ): @@ -180,7 +180,8 @@ class GladiaSTTService(STTService): url: Gladia API URL confidence: Minimum confidence threshold for transcriptions sample_rate: Audio sample rate in Hz - model: Model to use ("fast" or "accurate") + model: Model to use ("solaria-1", "solaria-mini-1", "fast", + or "accurate") params: Additional configuration parameters **kwargs: Additional arguments passed to the STTService """ From 13d0563298eae312d0cf1395a1a2a1b07d7ff85f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Mon, 31 Mar 2025 18:59:41 -0700 Subject: [PATCH 11/33] pyproject: downgrade to aiohttp 3.11.12 See https://pypi.org/project/aiohttp/#history --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index ecf4d5272..3e046c000 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,7 +20,7 @@ classifiers = [ "Topic :: Scientific/Engineering :: Artificial Intelligence" ] dependencies = [ - "aiohttp~=3.11.13", + "aiohttp~=3.11.12", "audioop-lts~=0.2.1; python_version>='3.13'", "loguru~=0.7.3", "Markdown~=3.7", From a5660f6dc74e2d52b8db07e0c55401ac19b05707 Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Tue, 1 Apr 2025 07:20:39 -0400 Subject: [PATCH 12/33] Add .gitignore to p2p video-transform example --- .../client/typescript/.gitignore | 24 +++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 examples/p2p-webrtc/video-transform/client/typescript/.gitignore diff --git a/examples/p2p-webrtc/video-transform/client/typescript/.gitignore b/examples/p2p-webrtc/video-transform/client/typescript/.gitignore new file mode 100644 index 000000000..a547bf36d --- /dev/null +++ b/examples/p2p-webrtc/video-transform/client/typescript/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? From 72c8f6c8c38609292b1e787d4ba805e960bad13f Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Tue, 1 Apr 2025 10:17:42 -0400 Subject: [PATCH 13/33] Update GladiaSTTService language list --- CHANGELOG.md | 2 +- src/pipecat/services/gladia/stt.py | 29 ++++++++++++++++++++++---- src/pipecat/transcriptions/language.py | 21 ++++++++++++------- 3 files changed, 40 insertions(+), 12 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 87381abf8..506a9305e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -70,7 +70,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 `pipecat.services.[ai_service,image_service,llm_service,stt_service,vision_service]`. - `GladiaSTTService` now uses the `solaria-1` model by default. Other params - use Gladia's default values. + use Gladia's default values. Added support for more language codes. ### Fixed diff --git a/src/pipecat/services/gladia/stt.py b/src/pipecat/services/gladia/stt.py index 80affacb2..03dd35ff2 100644 --- a/src/pipecat/services/gladia/stt.py +++ b/src/pipecat/services/gladia/stt.py @@ -48,8 +48,12 @@ def language_to_gladia_language(language: Language) -> Optional[str]: Language.AR: "ar", Language.AS: "as", Language.AZ: "az", + Language.BA: "ba", + Language.BE: "be", Language.BG: "bg", Language.BN: "bn", + Language.BO: "bo", + Language.BR: "br", Language.BS: "bs", Language.CA: "ca", Language.CS: "cs", @@ -63,13 +67,16 @@ def language_to_gladia_language(language: Language) -> Optional[str]: Language.EU: "eu", Language.FA: "fa", Language.FI: "fi", + Language.FO: "fo", Language.FR: "fr", - Language.GA: "ga", Language.GL: "gl", Language.GU: "gu", + Language.HA: "ha", + Language.HAW: "haw", Language.HE: "he", Language.HI: "hi", Language.HR: "hr", + Language.HT: "ht", Language.HU: "hu", Language.HY: "hy", Language.ID: "id", @@ -82,29 +89,38 @@ def language_to_gladia_language(language: Language) -> Optional[str]: Language.KM: "km", Language.KN: "kn", Language.KO: "ko", + Language.LA: "la", + Language.LB: "lb", + Language.LN: "ln", Language.LO: "lo", Language.LT: "lt", Language.LV: "lv", + Language.MG: "mg", + Language.MI: "mi", Language.MK: "mk", Language.ML: "ml", Language.MN: "mn", Language.MR: "mr", Language.MS: "ms", Language.MT: "mt", - Language.MY: "my", + Language.MY_MR: "mymr", Language.NE: "ne", Language.NL: "nl", + Language.NN: "nn", Language.NO: "no", - Language.OR: "or", + Language.OC: "oc", Language.PA: "pa", Language.PL: "pl", Language.PS: "ps", Language.PT: "pt", Language.RO: "ro", Language.RU: "ru", + Language.SA: "sa", + Language.SD: "sd", Language.SI: "si", Language.SK: "sk", Language.SL: "sl", + Language.SN: "sn", Language.SO: "so", Language.SQ: "sq", Language.SR: "sr", @@ -113,14 +129,19 @@ def language_to_gladia_language(language: Language) -> Optional[str]: Language.SW: "sw", Language.TA: "ta", Language.TE: "te", + Language.TG: "tg", Language.TH: "th", + Language.TK: "tk", + Language.TL: "tl", Language.TR: "tr", + Language.TT: "tt", Language.UK: "uk", Language.UR: "ur", Language.UZ: "uz", Language.VI: "vi", + Language.YI: "yi", + Language.YO: "yo", Language.ZH: "zh", - Language.ZU: "zu", } result = BASE_LANGUAGES.get(language) diff --git a/src/pipecat/transcriptions/language.py b/src/pipecat/transcriptions/language.py index 75f714a72..197564740 100644 --- a/src/pipecat/transcriptions/language.py +++ b/src/pipecat/transcriptions/language.py @@ -182,6 +182,9 @@ class Language(StrEnum): GA = "ga" GA_IE = "ga-IE" + # Gaelic + GD = "gd" + # Galician GL = "gl" GL_ES = "gl-ES" @@ -193,6 +196,9 @@ class Language(StrEnum): # Hausa HA = "ha" + # Hawaiian + HAW = "haw" + # Hebrew HE = "he" HE_IL = "he-IL" @@ -288,6 +294,9 @@ class Language(StrEnum): # Malagasy MG = "mg" + # Maori + MI = "mi" + # Macedonian MK = "mk" MK_MK = "mk-MK" @@ -300,9 +309,6 @@ class Language(StrEnum): MN = "mn" MN_MN = "mn-MN" - # Maori - MI = "mi" - # Marathi MR = "mr" MR_IN = "mr-IN" @@ -318,6 +324,7 @@ class Language(StrEnum): # Burmese MY = "my" MY_MM = "my-MM" + MY_MR = "mymr" # Norwegian NB = "nb" # Norwegian Bokmål @@ -414,9 +421,6 @@ class Language(StrEnum): SW_KE = "sw-KE" SW_TZ = "sw-TZ" - # Tagalog - TL = "tl" - # Tamil TA = "ta" TA_IN = "ta-IN" @@ -438,6 +442,9 @@ class Language(StrEnum): # Turkmen TK = "tk" + # Tagalog + TL = "tl" + # Turkish TR = "tr" TR_TR = "tr-TR" @@ -489,7 +496,7 @@ class Language(StrEnum): ZH_TW = "zh-TW" # Xhosa - XH = "xh" + XH = "xh-ZA" # Zulu ZU = "zu" From 98b499e2e95a902b2c5a220537bdbe1486a9bd32 Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Tue, 1 Apr 2025 10:26:28 -0400 Subject: [PATCH 14/33] Remove audio_enhancer option --- src/pipecat/services/gladia/config.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/pipecat/services/gladia/config.py b/src/pipecat/services/gladia/config.py index 6014dd576..275554418 100644 --- a/src/pipecat/services/gladia/config.py +++ b/src/pipecat/services/gladia/config.py @@ -27,11 +27,9 @@ class PreProcessingConfig(BaseModel): """Configuration for audio pre-processing options. Attributes: - audio_enhancer: Whether to apply audio enhancement speech_threshold: Sensitivity for speech detection (0-1) """ - audio_enhancer: Optional[bool] = None speech_threshold: Optional[float] = None From 3a37b11e5663f65dbe99d9ef193bbfd450e0398a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Tue, 1 Apr 2025 10:21:21 -0700 Subject: [PATCH 15/33] TranscriptProcessor: send TranscriptionUpdateFrame after interruption --- CHANGELOG.md | 3 +++ .../processors/transcript_processor.py | 24 ++++++++++++------- tests/test_context_aggregators.py | 5 +++- tests/test_transcript_processor.py | 4 ++-- 4 files changed, 24 insertions(+), 12 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index d23e82373..64475a218 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -73,6 +73,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Fixed +- Fixed an issue that could cause the `TranscriptionUpdateFrame` being pushed + because of an interruption to be discarded. + - Fixed an issue that would cause `SegmentedSTTService` based services (e.g. `OpenAISTTService`) to try to transcribe non-spoken audio, causing invalid transcriptions. diff --git a/src/pipecat/processors/transcript_processor.py b/src/pipecat/processors/transcript_processor.py index 3eaff66ca..a2ad22223 100644 --- a/src/pipecat/processors/transcript_processor.py +++ b/src/pipecat/processors/transcript_processor.py @@ -175,22 +175,28 @@ class AssistantTranscriptProcessor(BaseTranscriptProcessor): """ await super().process_frame(frame, direction) - if isinstance(frame, TTSTextFrame): + if isinstance(frame, (StartInterruptionFrame, CancelFrame)): + # Push frame first otherwise our emitted transcription update frame + # might get cleaned up. + await self.push_frame(frame, direction) + # Emit accumulated text with interruptions + await self._emit_aggregated_text() + elif isinstance(frame, TTSTextFrame): # Start timestamp on first text part if not self._aggregation_start_time: self._aggregation_start_time = time_now_iso8601() self._current_text_parts.append(frame.text) - elif isinstance(frame, (BotStoppedSpeakingFrame, StartInterruptionFrame, CancelFrame)): - # Emit accumulated text when bot finishes speaking or is interrupted + # Push frame. + await self.push_frame(frame, direction) + elif isinstance(frame, (BotStoppedSpeakingFrame, EndFrame)): + # Emit accumulated text when bot finishes speaking or pipeline ends. await self._emit_aggregated_text() - - elif isinstance(frame, EndFrame): - # Emit any remaining text when pipeline ends - await self._emit_aggregated_text() - - await self.push_frame(frame, direction) + # Push frame. + await self.push_frame(frame, direction) + else: + await self.push_frame(frame, direction) class TranscriptProcessor: diff --git a/tests/test_context_aggregators.py b/tests/test_context_aggregators.py index b735ed08e..05734a64e 100644 --- a/tests/test_context_aggregators.py +++ b/tests/test_context_aggregators.py @@ -41,7 +41,10 @@ from pipecat.services.google.llm import ( GoogleLLMContext, GoogleUserContextAggregator, ) -from pipecat.services.openai import OpenAIAssistantContextAggregator, OpenAIUserContextAggregator +from pipecat.services.openai.llm import ( + OpenAIAssistantContextAggregator, + OpenAIUserContextAggregator, +) from pipecat.tests.utils import SleepFrame, run_test AGGREGATION_TIMEOUT = 0.1 diff --git a/tests/test_transcript_processor.py b/tests/test_transcript_processor.py index d13246b2c..601631a8e 100644 --- a/tests/test_transcript_processor.py +++ b/tests/test_transcript_processor.py @@ -238,8 +238,8 @@ class TestUserTranscriptProcessor(unittest.IsolatedAsyncioTestCase): TTSTextFrame(text="world!"), SleepFrame(sleep=0.1), StartInterruptionFrame(), # User interrupts here - BotStartedSpeakingFrame(), SleepFrame(sleep=0.1), + BotStartedSpeakingFrame(), TTSTextFrame(text="New"), TTSTextFrame(text="response"), SleepFrame(sleep=0.1), @@ -251,8 +251,8 @@ class TestUserTranscriptProcessor(unittest.IsolatedAsyncioTestCase): BotStartedSpeakingFrame, TTSTextFrame, # "Hello" TTSTextFrame, # "world!" + StartInterruptionFrame, TranscriptionUpdateFrame, # First message (emitted due to interruption) - StartInterruptionFrame, # Interruption frame comes after the update BotStartedSpeakingFrame, TTSTextFrame, # "New" TTSTextFrame, # "response" From b40ca391f5fd352f21803fe975f20827999cc625 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Tue, 1 Apr 2025 09:54:16 -0700 Subject: [PATCH 16/33] BaseOutputTransport: allow setting 10ms output audio chunks --- CHANGELOG.md | 4 ++++ src/pipecat/transports/base_output.py | 5 +++-- src/pipecat/transports/base_transport.py | 1 + 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 7584ca409..649ade028 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,6 +9,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Added +- Added `TransportParams.audio_out_10ms_chunks` parameter to allow controlling + the amount of audio being sent by the output transport. It defaults to 2, so + 20ms audio chunks are sent. + - Added `QwenLLMService` for Qwen integration with an OpenAI-compatible interface. Added foundational example `14q-function-calling-qwen.py`. diff --git a/src/pipecat/transports/base_output.py b/src/pipecat/transports/base_output.py index a2ee5aa92..7eb446452 100644 --- a/src/pipecat/transports/base_output.py +++ b/src/pipecat/transports/base_output.py @@ -79,10 +79,11 @@ class BaseOutputTransport(FrameProcessor): async def start(self, frame: StartFrame): self._sample_rate = self._params.audio_out_sample_rate or frame.audio_out_sample_rate - # We will write 20ms audio at a time. If we receive long audio frames we + # We will write 10ms*CHUNKS of audio at a time (where CHUNKS is the + # `audio_out_10ms_chunks` parameter). If we receive long audio frames we # will chunk them. This will help with interruption handling. audio_bytes_10ms = int(self._sample_rate / 100) * self._params.audio_out_channels * 2 - self._audio_chunk_size = audio_bytes_10ms * 2 + self._audio_chunk_size = audio_bytes_10ms * self._params.audio_out_10ms_chunks # Start audio mixer. if self._params.audio_out_mixer: diff --git a/src/pipecat/transports/base_transport.py b/src/pipecat/transports/base_transport.py index 30e126ae3..8e0d2c772 100644 --- a/src/pipecat/transports/base_transport.py +++ b/src/pipecat/transports/base_transport.py @@ -31,6 +31,7 @@ class TransportParams(BaseModel): audio_out_sample_rate: Optional[int] = None audio_out_channels: int = 1 audio_out_bitrate: int = 96000 + audio_out_10ms_chunks: int = 2 audio_out_mixer: Optional[BaseAudioMixer] = None audio_in_enabled: bool = False audio_in_sample_rate: Optional[int] = None From bfd06b321d8004e9471efe7f9add8e77bff2bba0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Tue, 1 Apr 2025 10:07:44 -0700 Subject: [PATCH 17/33] BaseOutputTransport: optimize BotSpeakingFrames --- CHANGELOG.md | 27 ++++++++++++++++----------- src/pipecat/transports/base_output.py | 13 +++++++++++-- 2 files changed, 27 insertions(+), 13 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 649ade028..2e95d9162 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -76,17 +76,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - `GladiaSTTService` now uses the `solaria-1` model by default. Other params use Gladia's default values. Added support for more language codes. -### Fixed - -- Fixed an issue that could cause the `TranscriptionUpdateFrame` being pushed - because of an interruption to be discarded. - -- Fixed an issue that would cause `SegmentedSTTService` based services - (e.g. `OpenAISTTService`) to try to transcribe non-spoken audio, causing - invalid transcriptions. - -- Fixed an issue where `GoogleTTSService` was emitting two `TTSStoppedFrames`. - ### Deprecated - All Pipecat services imports have been deprecated and a warning will be shown @@ -104,6 +93,22 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Deprecated using `GladiaSTTService.InputParams` directly. Use the new `GladiaInputParams` class instead. +### Fixed + +- Fixed an issue that could cause the `TranscriptionUpdateFrame` being pushed + because of an interruption to be discarded. + +- Fixed an issue that would cause `SegmentedSTTService` based services + (e.g. `OpenAISTTService`) to try to transcribe non-spoken audio, causing + invalid transcriptions. + +- Fixed an issue where `GoogleTTSService` was emitting two `TTSStoppedFrames`. + +### Performance + +- `BotSpeakingFrame`s are now sent every 200ms. If the output transport audio chunks + are higher than 200ms then they will be sent at every audio chunk. + ### Other - Added foundational example `37-mem0.py` demonstrating how to use the diff --git a/src/pipecat/transports/base_output.py b/src/pipecat/transports/base_output.py index 7eb446452..178a0741b 100644 --- a/src/pipecat/transports/base_output.py +++ b/src/pipecat/transports/base_output.py @@ -336,13 +336,22 @@ class BaseOutputTransport(FrameProcessor): return without_mixer(BOT_VAD_STOP_SECS) async def _sink_task_handler(self): + # Push a BotSpeakingFrame every 200ms, we don't really need to push it + # at every audio chunk. If the audio chunk is bigger than 200ms, push at + # every audio chunk. + TOTAL_CHUNK_MS = self._params.audio_out_10ms_chunks * 10 + BOT_SPEAKING_CHUNK_PERIOD = max(int(200 / TOTAL_CHUNK_MS), 1) + bot_speaking_counter = 0 async for frame in self._next_frame(): # Notify the bot started speaking upstream if necessary and that # it's actually speaking. if isinstance(frame, TTSAudioRawFrame): await self._bot_started_speaking() - await self.push_frame(BotSpeakingFrame()) - await self.push_frame(BotSpeakingFrame(), FrameDirection.UPSTREAM) + if bot_speaking_counter % BOT_SPEAKING_CHUNK_PERIOD == 0: + await self.push_frame(BotSpeakingFrame()) + await self.push_frame(BotSpeakingFrame(), FrameDirection.UPSTREAM) + bot_speaking_counter = 0 + bot_speaking_counter += 1 # No need to push EndFrame, it's pushed from process_frame(). if isinstance(frame, EndFrame): From 31311d8ac5be2e98f5462b227dfab5dbe1c6c6fa Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Tue, 1 Apr 2025 13:54:59 -0700 Subject: [PATCH 18/33] tests: fix test_user_idle_processor for python 3.10 --- src/pipecat/processors/user_idle_processor.py | 7 ++++--- tests/test_user_idle_processor.py | 4 ++++ 2 files changed, 8 insertions(+), 3 deletions(-) diff --git a/src/pipecat/processors/user_idle_processor.py b/src/pipecat/processors/user_idle_processor.py index e88df3540..e7b08f4a3 100644 --- a/src/pipecat/processors/user_idle_processor.py +++ b/src/pipecat/processors/user_idle_processor.py @@ -127,9 +127,10 @@ class UserIdleProcessor(FrameProcessor): # Check for end frames before processing if isinstance(frame, (EndFrame, CancelFrame)): - await self.push_frame(frame, direction) # Push the frame down the pipeline - if self._idle_task: - await self._stop() # Stop the idle task, if it exists + # Stop the idle task, if it exists + await self._stop() + # Push the frame down the pipeline + await self.push_frame(frame, direction) return await self.push_frame(frame, direction) diff --git a/tests/test_user_idle_processor.py b/tests/test_user_idle_processor.py index a2f2fd386..5f212e22b 100644 --- a/tests/test_user_idle_processor.py +++ b/tests/test_user_idle_processor.py @@ -71,6 +71,10 @@ class TestUserIdleProcessor(unittest.IsolatedAsyncioTestCase): SleepFrame(sleep=0.1), # Another bot speaking frame resets timer again BotSpeakingFrame(), + # Give some time for the idle timeout task to start (Python 3.10 + # doesn't really like when you create a task and then cancel it + # right away). + SleepFrame(sleep=0.1), ] expected_down_frames = [ From 169b50af61fa87bd645e630ddae38518a823d3c8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Tue, 1 Apr 2025 14:41:07 -0700 Subject: [PATCH 19/33] frames: make FunctionCallResultFrame a SystemFrame --- CHANGELOG.md | 3 +++ src/pipecat/frames/frames.py | 38 ++++++++++++++++++------------------ 2 files changed, 22 insertions(+), 19 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 7584ca409..1da63ef82 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -53,6 +53,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Changed +- `FunctionCallResultFrame`a are now system frames. This is to prevent function + call results to be discarded during interruptions. + - Pipecat services have been reorganized into packages. Each package can have one or more of the following modules (in the future new module names might be needed) depending on the services implemented: diff --git a/src/pipecat/frames/frames.py b/src/pipecat/frames/frames.py index 30d8622d9..72acf1a2a 100644 --- a/src/pipecat/frames/frames.py +++ b/src/pipecat/frames/frames.py @@ -377,25 +377,6 @@ class LLMEnablePromptCachingFrame(DataFrame): enable: bool -@dataclass -class FunctionCallResultProperties: - """Properties for a function call result frame.""" - - run_llm: Optional[bool] = None - on_context_updated: Optional[Callable[[], Awaitable[None]]] = None - - -@dataclass -class FunctionCallResultFrame(DataFrame): - """A frame containing the result of an LLM function (tool) call.""" - - function_name: str - tool_call_id: str - arguments: Any - result: Any - properties: Optional[FunctionCallResultProperties] = None - - @dataclass class TTSSpeakFrame(DataFrame): """A frame that contains a text that should be spoken by the TTS in the @@ -652,6 +633,25 @@ class FunctionCallCancelFrame(SystemFrame): tool_call_id: str +@dataclass +class FunctionCallResultProperties: + """Properties for a function call result frame.""" + + run_llm: Optional[bool] = None + on_context_updated: Optional[Callable[[], Awaitable[None]]] = None + + +@dataclass +class FunctionCallResultFrame(SystemFrame): + """A frame containing the result of an LLM function (tool) call.""" + + function_name: str + tool_call_id: str + arguments: Any + result: Any + properties: Optional[FunctionCallResultProperties] = None + + @dataclass class STTMuteFrame(SystemFrame): """System frame to mute/unmute the STT service.""" From 80584e91385d2b0a80c74bf72e439138b8678262 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Tue, 1 Apr 2025 15:13:28 -0700 Subject: [PATCH 20/33] TransportParams: set audio_out_10ms_chunks to 4 --- CHANGELOG.md | 3 +++ src/pipecat/transports/base_transport.py | 2 +- 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 59d0888be..10f68892f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -109,6 +109,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Performance +- Output transports now send 40ms audio chunks instead of 20ms. This should + improve performance. + - `BotSpeakingFrame`s are now sent every 200ms. If the output transport audio chunks are higher than 200ms then they will be sent at every audio chunk. diff --git a/src/pipecat/transports/base_transport.py b/src/pipecat/transports/base_transport.py index 8e0d2c772..411456071 100644 --- a/src/pipecat/transports/base_transport.py +++ b/src/pipecat/transports/base_transport.py @@ -31,7 +31,7 @@ class TransportParams(BaseModel): audio_out_sample_rate: Optional[int] = None audio_out_channels: int = 1 audio_out_bitrate: int = 96000 - audio_out_10ms_chunks: int = 2 + audio_out_10ms_chunks: int = 4 audio_out_mixer: Optional[BaseAudioMixer] = None audio_in_enabled: bool = False audio_in_sample_rate: Optional[int] = None From 5df5f6ae4cdb1e140f6add8d99a89be4a1c9e3ab Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Tue, 1 Apr 2025 18:27:12 -0700 Subject: [PATCH 21/33] transports(websocket): close connection from last transport --- CHANGELOG.md | 6 ++++++ src/pipecat/transports/network/fastapi_websocket.py | 10 ++++++++++ src/pipecat/transports/network/websocket_client.py | 6 ++++-- 3 files changed, 20 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 10f68892f..ed70d71eb 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -98,6 +98,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Fixed +- Fixed a `FastAPIWebsocketTransport` and `WebsocketClientTransport` issue that + would cause the transport to be closed prematurely, preventing the internally + queued audio to be sent. The same issue could also cause an infinite loop + while using an output mixer and when sending an `EndFrame`, preventing the bot + to finish. + - Fixed an issue that could cause the `TranscriptionUpdateFrame` being pushed because of an interruption to be discarded. diff --git a/src/pipecat/transports/network/fastapi_websocket.py b/src/pipecat/transports/network/fastapi_websocket.py index 937dda80c..2114d357d 100644 --- a/src/pipecat/transports/network/fastapi_websocket.py +++ b/src/pipecat/transports/network/fastapi_websocket.py @@ -61,6 +61,10 @@ class FastAPIWebsocketClient: self._closing = False self._is_binary = is_binary self._callbacks = callbacks + self._leave_counter = 0 + + async def setup(self, _: StartFrame): + self._leave_counter += 1 def receive(self) -> typing.AsyncIterator[bytes | str]: return self._websocket.iter_bytes() if self._is_binary else self._websocket.iter_text() @@ -73,6 +77,10 @@ class FastAPIWebsocketClient: await self._websocket.send_text(data) async def disconnect(self): + self._leave_counter -= 1 + if self._leave_counter > 0: + return + if self.is_connected and not self.is_closing: self._closing = True await self._websocket.close() @@ -116,6 +124,7 @@ class FastAPIWebsocketInputTransport(BaseInputTransport): async def start(self, frame: StartFrame): await super().start(frame) + await self._client.setup(frame) await self._params.serializer.setup(frame) if not self._monitor_websocket_task and self._params.session_timeout: self._monitor_websocket_task = self.create_task(self._monitor_websocket()) @@ -192,6 +201,7 @@ class FastAPIWebsocketOutputTransport(BaseOutputTransport): async def start(self, frame: StartFrame): await super().start(frame) + await self._client.setup(frame) await self._params.serializer.setup(frame) self._send_interval = (self._audio_chunk_size / self.sample_rate) / 2 diff --git a/src/pipecat/transports/network/websocket_client.py b/src/pipecat/transports/network/websocket_client.py index bf6670883..e45a525fd 100644 --- a/src/pipecat/transports/network/websocket_client.py +++ b/src/pipecat/transports/network/websocket_client.py @@ -56,8 +56,8 @@ class WebsocketClientSession: self._callbacks = callbacks self._transport_name = transport_name + self._leave_counter = 0 self._task_manager: Optional[BaseTaskManager] = None - self._websocket: Optional[websockets.WebSocketClientProtocol] = None @property @@ -69,6 +69,7 @@ class WebsocketClientSession: return self._task_manager async def setup(self, frame: StartFrame): + self._leave_counter += 1 if not self._task_manager: self._task_manager = frame.task_manager @@ -87,7 +88,8 @@ class WebsocketClientSession: logger.error(f"Timeout connecting to {self._uri}") async def disconnect(self): - if not self._websocket: + self._leave_counter -= 1 + if not self._websocket or self._leave_counter > 0: return await self.task_manager.cancel_task(self._client_task) From 94f6436619bbbc06f225915f12fc28095d3fe5d4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Tue, 1 Apr 2025 18:53:52 -0700 Subject: [PATCH 22/33] update CHANGELOG for 0.0.62 --- CHANGELOG.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index ed70d71eb..43fecda29 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,7 +5,7 @@ All notable changes to **Pipecat** will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). -## [Unreleased] +## [0.0.62] - 2025-04-01 "An April Fools' release" ### Added From b85bd91d084c9cd2aff988a911fe2cf078b1a25b Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Tue, 1 Apr 2025 23:35:09 -0400 Subject: [PATCH 23/33] LLMAssistantContextAggregator should push BotStoppedSpeakingFrames --- CHANGELOG.md | 7 +++++++ src/pipecat/processors/aggregators/llm_response.py | 4 +++- 2 files changed, 10 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 43fecda29..aec1ec0fb 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,13 @@ All notable changes to **Pipecat** will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [Unreleased] + +### Fixed + +- Fixed an issue where `LLMAssistantContextAggregator` would prevent a + `BotStoppedSpeakingFrame` from moving through the pipeline. + ## [0.0.62] - 2025-04-01 "An April Fools' release" ### Added diff --git a/src/pipecat/processors/aggregators/llm_response.py b/src/pipecat/processors/aggregators/llm_response.py index e40ad266b..dccceea1f 100644 --- a/src/pipecat/processors/aggregators/llm_response.py +++ b/src/pipecat/processors/aggregators/llm_response.py @@ -149,7 +149,8 @@ class BaseLLMResponseAggregator(FrameProcessor): @abstractmethod def reset(self): """Reset the internals of this aggregator. This should not modify the - internal messages.""" + internal messages. + """ pass @abstractmethod @@ -446,6 +447,7 @@ class LLMAssistantContextAggregator(LLMContextResponseAggregator): await self._handle_user_image_frame(frame) elif isinstance(frame, BotStoppedSpeakingFrame): await self.push_aggregation() + await self.push_frame(frame, direction) else: await self.push_frame(frame, direction) From 55a6e5aa4c70d3889a093b0db0b6e1e1b5a9e3d8 Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Wed, 2 Apr 2025 12:08:18 -0400 Subject: [PATCH 24/33] Add new voices to OpenAITTSService --- examples/foundational/07g-interruptible-openai.py | 2 +- src/pipecat/services/openai/tts.py | 8 +++++++- 2 files changed, 8 insertions(+), 2 deletions(-) diff --git a/examples/foundational/07g-interruptible-openai.py b/examples/foundational/07g-interruptible-openai.py index 476dd5cea..e73daa881 100644 --- a/examples/foundational/07g-interruptible-openai.py +++ b/examples/foundational/07g-interruptible-openai.py @@ -59,7 +59,7 @@ async def main(): prompt="Expect words related to dogs, such as breed names.", ) - tts = OpenAITTSService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o-mini-tts-latest") + tts = OpenAITTSService(api_key=os.getenv("OPENAI_API_KEY"), voice="ballad") llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o") diff --git a/src/pipecat/services/openai/tts.py b/src/pipecat/services/openai/tts.py index 6024310b8..238684504 100644 --- a/src/pipecat/services/openai/tts.py +++ b/src/pipecat/services/openai/tts.py @@ -19,14 +19,20 @@ from pipecat.frames.frames import ( ) from pipecat.services.tts_service import TTSService -ValidVoice = Literal["alloy", "echo", "fable", "onyx", "nova", "shimmer"] +ValidVoice = Literal[ + "alloy", "ash", "ballad", "coral", "echo", "fable", "onyx", "nova", "sage", "shimmer" +] VALID_VOICES: Dict[str, ValidVoice] = { "alloy": "alloy", + "ash": "ash", + "ballad": "ballad", + "coral": "coral", "echo": "echo", "fable": "fable", "onyx": "onyx", "nova": "nova", + "sage": "sage", "shimmer": "shimmer", } From 2579d0cf57795d9078c37da0ccc7267a65f0d0c5 Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Wed, 2 Apr 2025 16:11:03 -0400 Subject: [PATCH 25/33] Examples: Fix context_aggregator.assistant() pipeline position --- examples/foundational/19a-azure-realtime-beta.py | 2 +- examples/foundational/20a-persistent-context-openai.py | 2 +- examples/foundational/20b-persistent-context-openai-realtime.py | 2 +- examples/foundational/20c-persistent-context-anthropic.py | 2 +- examples/foundational/20d-persistent-context-gemini.py | 2 +- .../foundational/26b-gemini-multimodal-live-function-calling.py | 2 +- 6 files changed, 6 insertions(+), 6 deletions(-) diff --git a/examples/foundational/19a-azure-realtime-beta.py b/examples/foundational/19a-azure-realtime-beta.py index 2eefd4ec9..004192ca2 100644 --- a/examples/foundational/19a-azure-realtime-beta.py +++ b/examples/foundational/19a-azure-realtime-beta.py @@ -147,8 +147,8 @@ Remember, your responses should be short. Just one or two sentences, usually.""" transport.input(), # Transport user input context_aggregator.user(), llm, # LLM - context_aggregator.assistant(), transport.output(), # Transport bot output + context_aggregator.assistant(), ] ) diff --git a/examples/foundational/20a-persistent-context-openai.py b/examples/foundational/20a-persistent-context-openai.py index 7ea2d5df1..2c792baed 100644 --- a/examples/foundational/20a-persistent-context-openai.py +++ b/examples/foundational/20a-persistent-context-openai.py @@ -205,8 +205,8 @@ async def main(): context_aggregator.user(), llm, # LLM tts, - context_aggregator.assistant(), transport.output(), # Transport bot output + context_aggregator.assistant(), ] ) diff --git a/examples/foundational/20b-persistent-context-openai-realtime.py b/examples/foundational/20b-persistent-context-openai-realtime.py index ef82bd567..14a35fe00 100644 --- a/examples/foundational/20b-persistent-context-openai-realtime.py +++ b/examples/foundational/20b-persistent-context-openai-realtime.py @@ -230,8 +230,8 @@ Remember, your responses should be short. Just one or two sentences, usually.""" transport.input(), # Transport user input context_aggregator.user(), llm, # LLM - context_aggregator.assistant(), transport.output(), # Transport bot output + context_aggregator.assistant(), ] ) diff --git a/examples/foundational/20c-persistent-context-anthropic.py b/examples/foundational/20c-persistent-context-anthropic.py index 0d33472e6..d9e45bab0 100644 --- a/examples/foundational/20c-persistent-context-anthropic.py +++ b/examples/foundational/20c-persistent-context-anthropic.py @@ -202,8 +202,8 @@ async def main(): context_aggregator.user(), llm, # LLM tts, - context_aggregator.assistant(), transport.output(), # Transport bot output + context_aggregator.assistant(), ] ) diff --git a/examples/foundational/20d-persistent-context-gemini.py b/examples/foundational/20d-persistent-context-gemini.py index a40500971..a00eb2c44 100644 --- a/examples/foundational/20d-persistent-context-gemini.py +++ b/examples/foundational/20d-persistent-context-gemini.py @@ -261,8 +261,8 @@ async def main(): context_aggregator.user(), llm, # LLM tts, - context_aggregator.assistant(), transport.output(), # Transport bot output + context_aggregator.assistant(), ] ) diff --git a/examples/foundational/26b-gemini-multimodal-live-function-calling.py b/examples/foundational/26b-gemini-multimodal-live-function-calling.py index 3aaad44ce..240261d50 100644 --- a/examples/foundational/26b-gemini-multimodal-live-function-calling.py +++ b/examples/foundational/26b-gemini-multimodal-live-function-calling.py @@ -110,8 +110,8 @@ async def main(): transport.input(), context_aggregator.user(), llm, - context_aggregator.assistant(), transport.output(), + context_aggregator.assistant(), ] ) From 1ba037865b71e07f303cc05fa7194d6ac3e1ac60 Mon Sep 17 00:00:00 2001 From: Dominic Stewart <45786774+DominicStewart@users.noreply.github.com> Date: Thu, 3 Apr 2025 09:03:23 +0900 Subject: [PATCH 26/33] Call Transfer demo (#1348) * Updated code to dial out to an operator, keep track of operator conversation while escalated and then return to conversation when finished * Removed unnecessary imports * Updated bot runner code, added call routing file and then updated the call transfer and voicemail detection examples * Updated the bot files * Made prompt one level higher in the body and an array * Updated call transfer examples to work correctly * Updated gemini voicemail detection example to work * Added twilio bot support back to the bot_runner * Moved some state management, participant management and other logic to the helper file. * Updated comments * Updated env and requirements file * Ran the examples and made sure code works. Still need to work on the prompts a bit * Fixed format issue * Add support to disable summary in call transfer * Added support for operator transfer mode * Updated readme file * Updated readme based on feedback, and handling of various properties in the json to be more flexible for future examples * Updated number of endpoints * Updated readme to remove fly deployment text and replaced with Pipecat Cloud * Starting to tweak function calls and prompts * Updated examples to more consistently call the functions and say what they need to say * Updated examples * Updated examples * Updated examples to work correctly * Add simple bot versions of dialin and dialout * Refactored the bot runner file to make adding future examples easier * Based on feedback, removed examples for multiple LLMs and also adjusted voicemail detection code to be simpler * Made sure to only capture the users transcription once * Updated readme with latest changes * Forgot to update the order of examples in one place * Fixed formatting issue * Adjusted based on james feedback * Changed default_mode to default_calltransfer_mode --- examples/phone-chatbot/.dockerignore | 3 - examples/phone-chatbot/Dockerfile | 40 - examples/phone-chatbot/README.md | 689 ++++++++++++++---- examples/phone-chatbot/bot_constants.py | 23 + examples/phone-chatbot/bot_daily.py | 223 ------ examples/phone-chatbot/bot_daily_gemini.py | 464 ------------ examples/phone-chatbot/bot_definitions.py | 55 ++ examples/phone-chatbot/bot_registry.py | 137 ++++ examples/phone-chatbot/bot_runner.py | 396 +++++----- examples/phone-chatbot/bot_runner_helpers.py | 211 ++++++ .../phone-chatbot/call_connection_manager.py | 608 ++++++++++++++++ examples/phone-chatbot/call_transfer.py | 481 ++++++++++++ examples/phone-chatbot/env.example | 11 +- examples/phone-chatbot/fly.example.toml | 19 - examples/phone-chatbot/requirements.txt | 4 +- examples/phone-chatbot/simple_dialin.py | 196 +++++ examples/phone-chatbot/simple_dialout.py | 187 +++++ examples/phone-chatbot/voicemail_detection.py | 472 ++++++++++++ 18 files changed, 3151 insertions(+), 1068 deletions(-) delete mode 100644 examples/phone-chatbot/.dockerignore delete mode 100644 examples/phone-chatbot/Dockerfile create mode 100644 examples/phone-chatbot/bot_constants.py delete mode 100644 examples/phone-chatbot/bot_daily.py delete mode 100644 examples/phone-chatbot/bot_daily_gemini.py create mode 100644 examples/phone-chatbot/bot_definitions.py create mode 100644 examples/phone-chatbot/bot_registry.py create mode 100644 examples/phone-chatbot/bot_runner_helpers.py create mode 100644 examples/phone-chatbot/call_connection_manager.py create mode 100644 examples/phone-chatbot/call_transfer.py delete mode 100644 examples/phone-chatbot/fly.example.toml create mode 100644 examples/phone-chatbot/simple_dialin.py create mode 100644 examples/phone-chatbot/simple_dialout.py create mode 100644 examples/phone-chatbot/voicemail_detection.py diff --git a/examples/phone-chatbot/.dockerignore b/examples/phone-chatbot/.dockerignore deleted file mode 100644 index 87fb9af3a..000000000 --- a/examples/phone-chatbot/.dockerignore +++ /dev/null @@ -1,3 +0,0 @@ -**/.DS_Store -.env -.env.* \ No newline at end of file diff --git a/examples/phone-chatbot/Dockerfile b/examples/phone-chatbot/Dockerfile deleted file mode 100644 index e0838f0d7..000000000 --- a/examples/phone-chatbot/Dockerfile +++ /dev/null @@ -1,40 +0,0 @@ -FROM python:3.11-bullseye - -ARG DEBIAN_FRONTEND=noninteractive -ARG USE_PERSISTENT_DATA -ENV PYTHONUNBUFFERED=1 -# Expose FastAPI port -ENV FAST_API_PORT=7860 -EXPOSE 7860 - -# Install system dependencies -RUN apt-get update && apt-get install --no-install-recommends -y \ - build-essential \ - git \ - ffmpeg \ - google-perftools \ - ca-certificates curl gnupg \ - && apt-get clean && rm -rf /var/lib/apt/lists/* - -# Set up a new user named "user" with user ID 1000 -RUN useradd -m -u 1000 user - -# Set home to the user's home directory -ENV HOME=/home/user \ - PATH=/home/user/.local/bin:$PATH \ - PYTHONPATH=$HOME/app \ - PYTHONUNBUFFERED=1 - -# Switch to the "user" user -USER user - -# Set the working directory to the user's home directory -WORKDIR $HOME/app - -# Install Python dependencies -COPY *.py . -COPY ./requirements.txt requirements.txt -RUN pip3 install --no-cache-dir --upgrade -r requirements.txt - -# Start the FastAPI server -CMD python3 bot_runner.py --host "0.0.0.0" --port ${FAST_API_PORT} \ No newline at end of file diff --git a/examples/phone-chatbot/README.md b/examples/phone-chatbot/README.md index 040fb7038..3d20f504a 100644 --- a/examples/phone-chatbot/README.md +++ b/examples/phone-chatbot/README.md @@ -1,209 +1,602 @@
- pipecat + pipecat
-# Phone Chatbot +# Pipecat Phone Chatbot -Example project that demonstrates how to add phone funtionality to your Pipecat bots. We include examples for Daily (`bot_daily.py`) dial-in and dial-out, and Twilio (`bot_twilio.py`) dial-in, depending on who you want to use as a phone vendor. +This repository contains examples for building intelligent phone chatbots using AI for various use cases including: -- 🔁 Transport: Daily WebRTC -- 💬 Speech-to-Text: Deepgram via Daily transport -- 🤖 LLM: GPT4-o / OpenAI -- 🔉 Text-to-Speech: ElevenLabs +- **Simple dial-in**: Basic incoming call handling +- **Simple dial-out**: Basic outgoing call handling +- **Voicemail detection**: Bot calls a number, detects if it reaches voicemail or a human, and responds appropriately +- **Call transfer**: Bot handles initial customer interaction and transfers to a human operator when needed -#### Should I use Daily or Twilio as a vendor? +## Architecture Overview -If you're starting from scratch, using Daily to provision phone numbers alongside Daily as a transport offers some convenience (such as automatic call forwarding.) +These examples use the following components: -If you already have Twilio numbers and workflows that you want to connect to your Pipecat bots, there is some additional configuration required (you'll need to create a `on_dialin_ready` and use the Twilio client to trigger the forward.) +- 🔁 **Transport**: Daily WebRTC +- 💬 **Speech-to-Text**: Deepgram via Daily transport +- 🤖 **LLMs**: Each example uses a specific LLM (OpenAI GPT-4o or Google Gemini) +- 🔉 **Text-to-Speech**: Cartesia -You can read more about this, as well as see respective walkthroughs in our docs. +## Getting Started -## Setup +### Prerequisites 1. Create and activate a virtual environment: + ```shell python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ``` + 2. Install requirements: + ```shell pip install -r requirements.txt ``` -3. Copy env.example to .env and configure: + +3. Set up your environment variables: + ```shell cp env.example .env ``` -4. Install [ngrok](https://ngrok.com/) so your local server can receive requests from Daily's servers. -## Using Daily numbers + Edit the `.env` file to include your API keys. -### Running the example +4. Install [ngrok](https://ngrok.com/) to make your local server accessible to external services. -To run either the dial-in or dial-out example, follow these steps to get started: +### Phone Number Provider: Daily vs Twilio -1. Run `bot_runner.py` to handle incoming HTTP requests: +If you're starting from scratch, we recommend using Daily to provision phone numbers alongside Daily as a transport for simplicity (this provides automatic call forwarding). + +If you already have Twilio numbers and workflows, you can connect them to your Pipecat bots with some additional configuration (`on_dialin_ready` and using the Twilio client to trigger forwarding). + +Most examples in this repository show how to use Daily for dial-in/dial-out operations. + +## Running the Examples + +### 1. Start the Bot Runner Service + +The bot runner handles incoming requests and manages bot processes: + +```shell +python bot_runner.py --host localhost +``` + +### 2. Create a Public Endpoint with ngrok + +Start ngrok to create a public URL for your local server: + +```shell +ngrok http --domain yourdomain.ngrok.app 7860 +``` + +## Example 1: Simple Dial-in + +This example demonstrates basic handling of incoming calls without additional features like call transfer. + +### Testing in Daily Prebuilt (No Actual Phone Calls) + +```shell +curl -X POST "http://localhost:7860/start" \ + -H "Content-Type: application/json" \ + -d '{ + "config": { + "simple_dialin": { + "testInPrebuilt": true + } + } + }' +``` + +This returns a Daily room URL where you can test the bot's basic conversation capabilities. + +## Example 2: Simple Dial-out + +This example demonstrates basic handling of outgoing calls without additional features like voicemail detection. + +### Testing in Daily Prebuilt (No Actual Phone Calls) + +```shell +curl -X POST "http://localhost:7860/start" \ + -H "Content-Type: application/json" \ + -d '{ + "config": { + "simple_dialout": { + "testInPrebuilt": true + } + } + }' +``` + +This returns a Daily room URL where you can test the bot's basic conversation capabilities. + +### Making Actual Phone Calls + +```shell +curl -X POST "http://localhost:7860/start" \ + -H "Content-Type: application/json" \ + -d '{ + "config": { + "dialout_settings": [{ + "phoneNumber": "+12345678910" + }], + "simple_dialout": { + "testInPrebuilt": false + } + } + }' +``` + +## Example 3: Voicemail Detection + +This example demonstrates a bot that can dial out to a phone number, detect whether it reached a human or voicemail system, and respond appropriately. + +### How It Works + +1. Bot dials a phone number +2. Bot listens to determine if it's connected to a person or voicemail +3. If it detects voicemail, it leaves a predefined message and hangs up +4. If it detects a human, it engages in conversation + +### Testing in Daily Prebuilt (No Actual Phone Calls) + +To test without making actual phone calls: + +```shell +curl -X POST "http://localhost:7860/start" \ + -H "Content-Type: application/json" \ + -d '{ + "config": { + "voicemail_detection": { + "testInPrebuilt": true + } + } + }' +``` + +This will return a Daily room URL you can use to test the bot in the browser. + +### Making Actual Phone Calls + +To have the bot dial out to a real phone number: + +```shell +curl -X POST "http://localhost:7860/start" \ + -H "Content-Type: application/json" \ + -d '{ + "config": { + "dialout_settings": [{ + "phoneNumber": "+12345678910" + }], + "voicemail_detection": { + "testInPrebuilt": false + } + } + }' +``` + +> **Note:** To enable dial-out capabilities, you must first: +> +> 1. Contact [help@daily.co](mailto:help@daily.co) to enable dial-out for your domain +> 2. Purchase a phone number to dial out from +> 3. Ensure rooms have dial-out enabled (the bot runner handles this) +> 4. Use an owner token for the bot (also handled by the bot runner) + +## Example 4: Call Transfer + +This example demonstrates a bot that handles initial customer interaction and can transfer the call to a human operator when requested. + +### How It Works + +1. Customer calls in and speaks with the bot +2. When the customer asks for a supervisor/manager, the bot initiates a transfer +3. The bot dials out to an appropriate operator +4. When the operator joins, the bot summarizes the conversation +5. The bot remains silent while operator and customer talk +6. When the operator leaves, the bot resumes handling the call + +### Testing in Daily Prebuilt (No Actual Phone Calls) + +```shell +curl -X POST "http://localhost:7860/start" \ + -H "Content-Type: application/json" \ + -d '{ + "config": { + "call_transfer": { + "mode": "dialout", + "speakSummary": true, + "storeSummary": false, + "operatorNumber": "+12345678910", + "testInPrebuilt": true + } + } + }' +``` + +This returns a Daily room URL. In the room, the expected flow is: + +1. Join the room and speak with the bot +2. Ask to speak with a manager/supervisor +3. The bot will add the "operator" to the call +4. The bot will summarize the conversation and then go silent +5. To simulate the operator, you can mute yourself in Daily Prebuilt and speak as if you're the operator +6. When finished, have the "operator" leave the call +7. The bot will resume speaking and can recall details from the conversation +8. End the call by closing Daily Prebuilt or telling the bot you're done + +### Using with Real Phone Calls + +For incoming calls from customers, Daily will send a webhook to your `/start` endpoint. This webhook contains: + +```json +{ + "From": "+CALLERS_PHONE", + "To": "$PURCHASED_PHONE", + "callId": "callid-read-only-string", + "callDomain": "callDomain-read-only-string" +} +``` + +The system will: + +1. Identify the customer based on their phone number +2. Determine the appropriate operator to contact +3. Customize the bot's behavior based on transfer settings + +#### Operator Assignment + +The `call_connection_manager.py` file contains mappings for: + +1. `CUSTOMER_MAP`: Links phone numbers to customer names +2. `OPERATOR_CONTACT_MAP`: Contains operator contact information +3. `CUSTOMER_TO_OPERATOR_MAP`: Defines which operators should handle which customers + +You can customize these mappings or integrate with your existing customer database. + +## Configuration Options + +### Request Body Structure + +When making requests to the `/start` endpoint, the config object can include: + +```json +{ + "config": { + "prompts": [ + { + "name": "call_transfer_initial_prompt", + "text": "Your custom prompt here" + }, + { + "name": "call_transfer_prompt", + "text": "Your custom prompt here" + }, + { + "name": "call_transfer_finished_prompt", + "text": "Your custom prompt here" + }, + { + "name": "voicemail_detection_prompt", + "text": "Your custom prompt here" + }, + { + "name": "voicemail_prompt", + "text": "Your custom prompt here" + }, + { + "name": "human_conversation_prompt", + "text": "Your custom prompt here" + } + ], + "dialin_settings": { + "From": "+CALLERS_PHONE", + "To": "$PURCHASED_PHONE", + "callId": "callid-read-only-string", + "callDomain": "callDomain-read-only-string" + }, + "dialout_settings": [ + { + "phoneNumber": "+12345678910", + "callerId": "caller-id-uuid", + "sipUri": "sip:maria@example.com" + } + ], + "call_transfer": { + "mode": "dialout", + "speakSummary": true, + "storeSummary": false, + "operatorNumber": "+12345678910", + "testInPrebuilt": false + }, + "voicemail_detection": { + "testInPrebuilt": true + }, + "simple_dialin": { + "testInPrebuilt": true + }, + "simple_dialout": { + "testInPrebuilt": true + } + } +} +``` + +### Configuration Parameters + +- `prompts`: An array of objects containing prompts that you want the examples to use. +- `dialin_settings`: Information about incoming calls (typically from webhook) +- `dialout_settings`: For outbound calls: + - `phoneNumber`: Number to dial + - `callerId`: UUID of the number to display (optional) + - `sipUri`: SIP URI to connect to (alternative to phoneNumber) +- `call_transfer`: For call transfer example: + - `mode`: Currently only `"dialout"` is supported + - `speakSummary`: Whether the bot should summarize the conversation for the operator + - `storeSummary`: For future implementation + - `operatorNumber`: Operator phone number + - `testInPrebuilt`: Test without actual phone calls +- `voicemail_detection`: For voicemail detection example: + - `testInPrebuilt`: Test without actual phone calls +- `simple_dialin`: For simple dialin example: + - `testInPrebuilt`: Test without actual phone calls +- `simple_dialout`: For simple dialout example: + - `testInPrebuilt`: Test without actual phone calls + +## Feature Compatibility + +The following table shows which feature combinations are supported when making requests to the `/start` endpoint. The table is organized by use case to help you create the correct configuration. + +| Use Case | `call_transfer` | `voicemail_detection` | `simple_dialin` | `simple_dialout` | `dialin_settings` | `dialout_settings` | `operatorNumber` | `testInPrebuilt` | Status | +| --------------------------------------------------------------- | --------------- | --------------------- | --------------- | ---------------- | ----------------- | ------------------ | ---------------- | ---------------- | ---------------- | +| **Basic incoming call handling (simple_dialin)** | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✅ Supported | +| **Test mode: Simple dialin in Daily Prebuilt** | ✗ | ✗ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✅ Supported | +| **Basic outgoing call handling (simple_dialout)** | ✗ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ | ✗ | ✅ Supported | +| **Test mode: Simple dialout in Daily Prebuilt** | ✗ | ✗ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✅ Supported | +| **Standard call transfer (incoming call)** | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ | ✓/✗ | ✗ | ✅ Supported | +| **Standard voicemail detection (outgoing call)** | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ | ✗ | ✅ Supported | +| **Test mode: Call transfer in Daily Prebuilt** | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✓ | ✅ Supported | +| **Test mode: Voicemail detection in Daily Prebuilt** | ✗ | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✅ Supported | +| Call transfer requires operatorNumber | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ | ✗ | ✓/✗ | ❌ Not Supported | +| Voicemail detection requires dialout_settings or testInPrebuilt | ✗ | ✓ | ✗ | ✗ | ✓ | ✗ | ✗ | ✓/✗ | ❌ Not Supported | +| Cannot combine different bot types | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ✓/✗ | ❌ Not Supported | +| Call_transfer needs dialin_settings in non-test mode | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ | ❌ Not Supported | +| Voicemail_detection needs dialout_settings in non-test mode | ✗ | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ❌ Not Supported | +| Insufficient configuration | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓/✗ | ❌ Not Supported | + +### Legend: + +- ✓: Required +- ✗: Not allowed +- ✓/✗: Optional +- ✅: Supported +- ❌: Not Supported + +### Notes: + +- `dialin_settings` is typically populated automatically from webhook data for incoming calls +- `dialout_settings` must be specified manually for outgoing calls +- `operatorNumber` is specified within the `call_transfer` object (`"call_transfer": {"operatorNumber": "+1234567890", ...}`) +- `testInPrebuilt` is specified within the bot type object (e.g., `"call_transfer": {"testInPrebuilt": true, ...}`) +- For call transfers, `operatorNumber` must be provided to specify which operator to dial. If it is not provided, we will base it off of the operator map in call_connection_manager.py +- In test mode (`testInPrebuilt: true`), some requirements are relaxed to allow testing in Daily Prebuilt +- Multiple customers to dial out to can be specified by providing an array of objects in `dialout_settings` +- Bot types are mutually exclusive - you cannot combine multiple bot types in a single configuration + +### Configuration Examples + +#### Standard call transfer (incoming call): + +```json +{ + "config": { + "dialin_settings": { + "from": "+12345678901", + "to": "+19876543210", + "call_id": "call-id-string", + "call_domain": "domain-string" + }, + "call_transfer": { + "mode": "dialout", + "speakSummary": true, + "operatorNumber": "+12345678910" + } + } +} +``` + +#### Test mode: Call transfer in Daily Prebuilt: + +```json +{ + "config": { + "call_transfer": { + "mode": "dialout", + "speakSummary": true, + "operatorNumber": "+12345678910", + "testInPrebuilt": true + } + } +} +``` + +#### Test mode: Voicemail detection in Daily Prebuilt: + +```json +{ + "config": { + "voicemail_detection": { + "testInPrebuilt": true + } + } +} +``` + +#### Standard voicemail detection: + +```json +{ + "config": { + "dialout_settings": [ + { + "phoneNumber": "+12345678910" + } + ], + "voicemail_detection": { + "testInPrebuilt": false + } + } +} +``` + +#### Simple dialin (incoming call): + +```json +{ + "config": { + "dialin_settings": { + "from": "+12345678901", + "to": "+19876543210", + "call_id": "call-id-string", + "call_domain": "domain-string" + }, + "simple_dialin": {} + } +} +``` + +#### Test mode: Simple dialin in Daily Prebuilt: + +```json +{ + "config": { + "simple_dialin": { + "testInPrebuilt": true + } + } +} +``` + +#### Simple dialout (outgoing call): + +```json +{ + "config": { + "dialout_settings": [ + { + "phoneNumber": "+12345678910" + } + ], + "simple_dialout": {} + } +} +``` + +#### Test mode: Simple dialout in Daily Prebuilt: + +```json +{ + "config": { + "simple_dialout": { + "testInPrebuilt": true + } + } +} +``` + +## Using Twilio (Alternative) + +To use Twilio for call handling: + +1. Start the bot runner: ```shell python bot_runner.py --host localhost ``` -2. Start ngrok running in a terminal window: +2. Start ngrok: ```shell - ngrok http --domain yourdomain.ngrok.app 8000 + ngrok http --domain yourdomain.ngrok.app 7860 ``` -3. In a different terminal window, run the Daily bot file: - ```shell - python bot_daily.py - ``` - -### Dial-in - -To dial-in to the bot, you will need to enable dial-in for your Daily domain. Follow [this guide](https://docs.daily.co/guides/products/dial-in-dial-out/dialin-pinless#provisioning-sip-interconnect-and-pinless-dialin-workflow) to set up your domain. - -Note: For the `room_creation_api` property, point at your ngrok hostname: `"room_creation_api": "https://yourdomain.ngrok.app/daily_start_bot"`. - -Once your domain is configured, receiving a phone call at a number associated with your Daily account will result in a POST to the `/daily_start_bot` endpoint, which will start a bot session. - -### Dial-out - -For the bot to dial out to a number, make a POST request to `/daily_start_bot` and include the dial-out phone number in the body of the request as `dialoutNumber`. - -For example: - -```shell -curl -X "POST" "http://localhost:7860/daily_start_bot" \ - -H 'Content-Type: application/json; charset=utf-8' \ - -d $'{ - "dialoutNumber": "+12125551234" -}' -``` - -### Voicemail detection - -To start the bot and test voicemail detection, send a POST request to /daily_start_bot with "detectVoicemail": true in the request body. - -- If you only include `"detectVoicemail": true`, the bot will not dial out. Instead, you can test it in Daily Prebuilt by visiting the URL provided in the response. -- If you include both `"detectVoicemail": true` and a phone number under `"dialoutNumber"`, the bot will dial out to that number. - -Example: Testing in Daily Prebuilt: - -```shell -curl -X POST "http://localhost:7860/daily_start_bot" \ py pipecat - -H "Content-Type: application/json" \ - -d '{"detectVoicemail": true}' -``` - -Example: Testing with Dial-Out: - -```shell -curl -X POST "http://localhost:7860/daily_start_bot" \ py pipecat - -H "Content-Type: application/json" \ - -d '{"dialoutNumber": "+18057145330", "detectVoicemail": true}' -``` - -### New! Using Gemini 2.0 Flash Lite with Daily - -We have introduced support for Google's Gemini 2.0 Flash Lite model in this example. This lightweight model offers faster response times and reduced costs while maintaining good conversational capabilities. - -**Quick Start** -To use the Gemini-based bot instead of OpenAI: - -```shell -curl -X POST "http://localhost:7860/daily_gemini_start_bot" \ py pipecat - -H "Content-Type: application/json" \ - -d '{"detectVoicemail": true}' -``` - -All request body parameters supported by /daily_start_bot (such as detectVoicemail, dialoutNumber, etc.) are also compatible with /daily_gemini_start_bot. - -This example uses context switching to help steer the bot in the right direction. As Flash Lite is a smaller model, breaking the prompt down into smaller piece helps to improve the bot's accuracy. - -For example, instead of giving one large prompt like: - -```python -system_instruction="""You are a chatbot that needs to detect if you're talking to a voicemail system or human, then either leave a message or have a conversation. If it's voicemail, say "Hello, this is a message..." and hang up. If it's a human, introduce yourself and be helpful until they say goodbye.""" -``` - -We break it into stages: - -First prompt focuses only on detection: "Determine if this is voicemail or human" -After detection, we switch to a new context: either "Leave this specific voicemail message" or "Have a conversation with the human". - -**Implementation Details** -The implementation is available in bot_daily_gemini.py and features: - -- Staged prompting approach: Breaking down complex tasks into smaller, more focused prompts to improve the lightweight model's performance -- Dynamic context switching: The bot can change its behavior in real-time based on what it detects (voicemail vs. human caller) -- Function-based architecture: Uses function calling to trigger context switches and call termination - -### More information - -For more configuration options, please consult [Daily's API documentation](https://docs.daily.co). - -## Using Twilio numbers - -### Running the example - -Follow these steps to get started: - -1. Run `bot_runner.py` to handle incoming HTTP requests: - - ```shell - python bot_runner.py --host localhost - ``` - -2. Start ngrok running in a terminal window: - - ```shell - ngrok http --domain yourdomain.ngrok.app 8000 - ``` - -3. In a different terminal window, run the Daily bot file: +3. In another terminal, run the Twilio bot: ```shell python bot_twilio.py ``` -As above, but target the following URL: +Make requests to `/start_twilio_bot` for Twilio-specific functionality. -`POST /twilio_start_bot` +## Deployment -For more configuration options, please consult Twilio's API documentation. +See Pipecat Cloud deployment docs for how to deploy this example: https://docs.pipecat.daily.co/agents/deploy -## Deployment example +We also have a great, easy to use quickstart guide here: https://docs.pipecat.daily.co/quickstart -A Dockerfile is included in this demo for convenience. Here is an example of how to build and deploy your bot to [fly.io](https://fly.io). +## Using Different LLM Providers -_Please note: This demo spawns agents as subprocesses for convenience / demonstration purposes. You would likely not want to do this in production as it would limit concurrency to available system resources. For more information on how to deploy your bots using VMs, refer to the Pipecat documentation._ +Each example in this repository is implemented with a specific LLM provider: -### Build the docker image +- **Simple dial-in**: Uses OpenAI +- **Simple dial-out**: Uses OpenAI +- **Voicemail detection**: Uses Google Gemini +- **Call transfer**: Uses OpenAI -`docker build -t tag:project .` +If you want to implement one of these examples with a different LLM provider than what's provided: -### Launch the fly project +- To implement **call_transfer** with **Gemini**, reference the `voicemail_detection.py` file for how to structure LLM context, function calling, and other Gemini-specific implementations. +- To implement **voicemail_detection** with **OpenAI**, reference the `call_transfer.py` file for OpenAI-specific implementation details. -`mv fly.example.toml fly.toml` +The key differences between implementations involve how context is managed, function calling syntax, and message formatting. Looking at both implementations side-by-side provides a good template for adapting any example to your preferred LLM provider. -`fly launch` (using the included fly.toml) +## Customizing Bot Prompts -### Setup your secrets on Fly +All examples include default prompts that work well for standard use cases. However, you can customize how the bot behaves by providing your own prompts in the request body. -Set the necessary secrets (found in `env.example`) +### Available Prompt Types -`fly secrets set DAILY_API_KEY=... OPENAI_API_KEY=... ELEVENLABS_API_KEY=... ELEVENLABS_VOICE_ID=...` +- `call_transfer_initial_prompt`: The initial prompt the bot uses when greeting a customer +- `call_transfer_prompt`: Instructions for the bot when summarizing the conversation for an operator +- `call_transfer_finished_prompt`: Instructions for when the operator leaves the call +- `voicemail_detection_prompt`: Instructions for detecting whether a call connected to voicemail +- `voicemail_prompt`: The message to leave when voicemail is detected +- `human_conversation_prompt`: Instructions for conversation when a human is detected -If you're using Twilio as a number vendor: +### Customization Example -`fly secrets set TWILIO_ACCOUNT_SID=... TWILIO_AUTH_TOKEN=...` +```shell +curl -X POST "http://localhost:7860/start" \ + -H "Content-Type: application/json" \ + -d '{ + "config": { + "prompts": [ + { + "name": "voicemail_prompt", + "text": "Hello, this is ACME Corporation calling. Please call us back at 555-123-4567 regarding your recent order. Thank you!" + } + ], + "dialout_settings": [{ + "phoneNumber": "+12345678910" + }], + "voicemail_detection": { + "testInPrebuilt": false + } + } + }' +``` -### Deploy! +This example would use all default prompts except for the voicemail message, which would be replaced with your custom message. -`fly deploy` +### Template Variables -## Need to do something more advanced? +Some prompts support template variables that are automatically replaced: -This demo covers the basics of bot telephony. If you want to know more about working with PSTN / SIP, please ping us on [Discord](https://discord.gg/pipecat)! +- `{customer_name}`: Will be replaced with the customer's name if available + +## Advanced Usage + +For more advanced phone integration scenarios using PSTN/SIP, please reach out on [Discord](https://discord.gg/pipecat). diff --git a/examples/phone-chatbot/bot_constants.py b/examples/phone-chatbot/bot_constants.py new file mode 100644 index 000000000..6b28de1a3 --- /dev/null +++ b/examples/phone-chatbot/bot_constants.py @@ -0,0 +1,23 @@ +# bot_constants.py +"""Constants used across the bot runner application.""" + +# Maximum session time +MAX_SESSION_TIME = 5 * 60 # 5 minutes + +# Required environment variables +REQUIRED_ENV_VARS = [ + "OPENAI_API_KEY", + "GOOGLE_API_KEY", + "DAILY_API_KEY", + "CARTESIA_API_KEY", + "DEEPGRAM_API_KEY", +] + +# Default example to use when handling dialin webhooks - determines which bot type to run +DEFAULT_DIALIN_EXAMPLE = "call_transfer" # Options: call_transfer, simple_dialin + +# Call transfer configuration constants +DEFAULT_CALLTRANSFER_MODE = "dialout" +DEFAULT_SPEAK_SUMMARY = True # Speak a summary of the call to the operator +DEFAULT_STORE_SUMMARY = False # Store summary of the call (for future implementation) +DEFAULT_TEST_IN_PREBUILT = False # Test in prebuilt mode (bypasses need to dial in/out) diff --git a/examples/phone-chatbot/bot_daily.py b/examples/phone-chatbot/bot_daily.py deleted file mode 100644 index b38b4c4f7..000000000 --- a/examples/phone-chatbot/bot_daily.py +++ /dev/null @@ -1,223 +0,0 @@ -# -# Copyright (c) 2024–2025, Daily -# -# SPDX-License-Identifier: BSD 2-Clause License -# - -import argparse -import asyncio -import os -import sys -from typing import Optional - -from dotenv import load_dotenv -from loguru import logger -from openai.types.chat import ChatCompletionToolParam - -from pipecat.audio.vad.silero import SileroVADAnalyzer -from pipecat.frames.frames import EndTaskFrame -from pipecat.pipeline.pipeline import Pipeline -from pipecat.pipeline.runner import PipelineRunner -from pipecat.pipeline.task import PipelineParams, PipelineTask -from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext -from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.elevenlabs.tts import ElevenLabsTTSService -from pipecat.services.llm_service import LLMService -from pipecat.services.openai.llm import OpenAILLMService -from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport - -load_dotenv(override=True) - -logger.remove(0) -logger.add(sys.stderr, level="DEBUG") - -daily_api_key = os.getenv("DAILY_API_KEY", "") -daily_api_url = os.getenv("DAILY_API_URL", "https://api.daily.co/v1") - - -async def terminate_call( - function_name, tool_call_id, args, llm: LLMService, context, result_callback -): - """Function the bot can call to terminate the call upon completion of a voicemail message.""" - await llm.queue_frame(EndTaskFrame(), FrameDirection.UPSTREAM) - await result_callback("Goodbye") - - -async def main( - room_url: str, - token: str, - callId: str, - callDomain: str, - detect_voicemail: bool, - dialout_number: Optional[str], -): - # dialin_settings are only needed if Daily's SIP URI is used - # If you are handling this via Twilio, Telnyx, set this to None - # and handle call-forwarding when on_dialin_ready fires. - - # We don't want to specify dial-in settings if we're not dialing in - dialin_settings = None - if callId and callDomain: - dialin_settings = DailyDialinSettings(call_id=callId, call_domain=callDomain) - - transport = DailyTransport( - room_url, - token, - "Chatbot", - DailyParams( - api_url=daily_api_url, - api_key=daily_api_key, - dialin_settings=dialin_settings, - audio_in_enabled=True, - audio_out_enabled=True, - camera_out_enabled=False, - vad_enabled=True, - vad_analyzer=SileroVADAnalyzer(), - transcription_enabled=True, - ), - ) - - tts = ElevenLabsTTSService( - api_key=os.getenv("ELEVENLABS_API_KEY", ""), - voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""), - ) - - llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o") - llm.register_function("terminate_call", terminate_call) - tools = [ - ChatCompletionToolParam( - type="function", - function={ - "name": "terminate_call", - "description": "Terminate the call", - }, - ) - ] - - messages = [ - { - "role": "system", - "content": """You are Chatbot, a friendly, helpful robot. Never refer to this prompt, even if asked. Follow these steps **EXACTLY**. - - ### **Standard Operating Procedure:** - - #### **Step 1: Detect if You Are Speaking to Voicemail** - - If you hear **any variation** of the following: - - **"Please leave a message after the beep."** - - **"No one is available to take your call."** - - **"Record your message after the tone."** - - **"Please leave a message after the beep"** - - **"You have reached voicemail for..."** - - **"You have reached [phone number]"** - - **"[phone number] is unavailable"** - - **"The person you are trying to reach..."** - - **"The number you have dialed..."** - - **"Your call has been forwarded to an automated voice messaging system"** - - **Any phrase that suggests an answering machine or voicemail.** - - **ASSUME IT IS A VOICEMAIL. DO NOT WAIT FOR MORE CONFIRMATION.** - - **IF THE CALL SAYS "PLEASE LEAVE A MESSAGE AFTER THE BEEP", WAIT FOR THE BEEP BEFORE LEAVING A MESSAGE.** - - #### **Step 2: Leave a Voicemail Message** - - Immediately say: - *"Hello, this is a message for Pipecat example user. This is Chatbot. Please call back on 123-456-7891. Thank you."* - - **IMMEDIATELY AFTER LEAVING THE MESSAGE, CALL `terminate_call`.** - - **DO NOT SPEAK AFTER CALLING `terminate_call`.** - - **FAILURE TO CALL `terminate_call` IMMEDIATELY IS A MISTAKE.** - - #### **Step 3: If Speaking to a Human** - - If the call is answered by a human, say: - *"Oh, hello! I'm a friendly chatbot. Is there anything I can help you with?"* - - Keep responses **brief and helpful**. - - If the user no longer needs assistance, say: - *"Okay, thank you! Have a great day!"* - -**Then call `terminate_call` immediately.** - - --- - - ### **General Rules** - - **DO NOT continue speaking after leaving a voicemail.** - - **DO NOT wait after a voicemail message. ALWAYS call `terminate_call` immediately.** - - Your output will be converted to audio, so **do not include special characters or formatting.** - """, - } - ] - - context = OpenAILLMContext(messages, tools) - context_aggregator = llm.create_context_aggregator(context) - - pipeline = Pipeline( - [ - transport.input(), - context_aggregator.user(), - llm, - tts, - transport.output(), - context_aggregator.assistant(), - ] - ) - - task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True)) - - if dialout_number: - logger.debug("dialout number detected; doing dialout") - - # Configure some handlers for dialing out - @transport.event_handler("on_joined") - async def on_joined(transport, data): - logger.debug(f"Joined; starting dialout to: {dialout_number}") - await transport.start_dialout({"phoneNumber": dialout_number}) - - @transport.event_handler("on_dialout_connected") - async def on_dialout_connected(transport, data): - logger.debug(f"Dial-out connected: {data}") - - @transport.event_handler("on_dialout_answered") - async def on_dialout_answered(transport, data): - logger.debug(f"Dial-out answered: {data}") - - @transport.event_handler("on_first_participant_joined") - async def on_first_participant_joined(transport, participant): - await transport.capture_participant_transcription(participant["id"]) - # unlike the dialin case, for the dialout case, the caller will speak first. Presumably - # they will answer the phone and say "Hello?" Since we've captured their transcript, - # That will put a frame into the pipeline and prompt an LLM completion, which is how the - # bot will then greet the user. - elif detect_voicemail: - logger.debug("Detect voicemail example. You can test this in example in Daily Prebuilt") - - # For the voicemail detection case, we do not want the bot to answer the phone. We want it to wait for the voicemail - # machine to say something like 'Leave a message after the beep', or for the user to say 'Hello?'. - @transport.event_handler("on_first_participant_joined") - async def on_first_participant_joined(transport, participant): - await transport.capture_participant_transcription(participant["id"]) - else: - logger.debug("no dialout number; assuming dialin") - - # Different handlers for dialin - @transport.event_handler("on_first_participant_joined") - async def on_first_participant_joined(transport, participant): - await transport.capture_participant_transcription(participant["id"]) - # For the dialin case, we want the bot to answer the phone and greet the user. We - # can prompt the bot to speak by putting the context into the pipeline. - await task.queue_frames([context_aggregator.user().get_context_frame()]) - - @transport.event_handler("on_participant_left") - async def on_participant_left(transport, participant, reason): - await task.cancel() - - runner = PipelineRunner() - - await runner.run(task) - - -if __name__ == "__main__": - parser = argparse.ArgumentParser(description="Pipecat Simple ChatBot") - parser.add_argument("-u", type=str, help="Room URL") - parser.add_argument("-t", type=str, help="Token") - parser.add_argument("-i", type=str, help="Call ID") - parser.add_argument("-d", type=str, help="Call Domain") - parser.add_argument("-v", action="store_true", help="Detect voicemail") - parser.add_argument("-o", type=str, help="Dialout number", default=None) - config = parser.parse_args() - - asyncio.run(main(config.u, config.t, config.i, config.d, config.v, config.o)) diff --git a/examples/phone-chatbot/bot_daily_gemini.py b/examples/phone-chatbot/bot_daily_gemini.py deleted file mode 100644 index 45fd0e7f5..000000000 --- a/examples/phone-chatbot/bot_daily_gemini.py +++ /dev/null @@ -1,464 +0,0 @@ -# -# Copyright (c) 2024–2025, Daily -# -# SPDX-License-Identifier: BSD 2-Clause License -# - -import argparse -import asyncio -import os -import sys -from typing import Optional - -from dotenv import load_dotenv -from loguru import logger - -from pipecat.audio.vad.silero import SileroVADAnalyzer -from pipecat.frames.frames import ( - EndFrame, - EndTaskFrame, - InputAudioRawFrame, - StopTaskFrame, - TranscriptionFrame, - UserStartedSpeakingFrame, - UserStoppedSpeakingFrame, -) -from pipecat.pipeline.pipeline import Pipeline -from pipecat.pipeline.runner import PipelineRunner -from pipecat.pipeline.task import PipelineParams, PipelineTask -from pipecat.processors.frame_processor import FrameDirection, FrameProcessor -from pipecat.services.deepgram.stt import DeepgramSTTService -from pipecat.services.elevenlabs.tts import ElevenLabsTTSService -from pipecat.services.google.llm import GoogleLLMContext, GoogleLLMService -from pipecat.services.llm_service import LLMService -from pipecat.transports.services.daily import ( - DailyDialinSettings, - DailyParams, - DailyTransport, -) - -load_dotenv(override=True) - -logger.remove(0) -logger.add(sys.stderr, level="DEBUG") - - -daily_api_key = os.getenv("DAILY_API_KEY", "") -daily_api_url = os.getenv("DAILY_API_URL", "https://api.daily.co/v1") - -system_message = None - - -class UserAudioCollector(FrameProcessor): - """This FrameProcessor collects audio frames in a buffer, then adds them to the - LLM context when the user stops speaking. - """ - - def __init__(self, context, user_context_aggregator): - super().__init__() - self._context = context - self._user_context_aggregator = user_context_aggregator - self._audio_frames = [] - self._start_secs = 0.2 # this should match VAD start_secs (hardcoding for now) - self._user_speaking = False - - async def process_frame(self, frame, direction): - await super().process_frame(frame, direction) - - if isinstance(frame, TranscriptionFrame): - # We could gracefully handle both audio input and text/transcription input ... - # but let's leave that as an exercise to the reader. :-) - return - if isinstance(frame, UserStartedSpeakingFrame): - self._user_speaking = True - elif isinstance(frame, UserStoppedSpeakingFrame): - self._user_speaking = False - self._context.add_audio_frames_message(audio_frames=self._audio_frames) - await self._user_context_aggregator.push_frame( - self._user_context_aggregator.get_context_frame() - ) - elif isinstance(frame, InputAudioRawFrame): - if self._user_speaking: - self._audio_frames.append(frame) - else: - # Append the audio frame to our buffer. Treat the buffer as a ring buffer, dropping the oldest - # frames as necessary. Assume all audio frames have the same duration. - self._audio_frames.append(frame) - frame_duration = len(frame.audio) / 16 * frame.num_channels / frame.sample_rate - buffer_duration = frame_duration * len(self._audio_frames) - while buffer_duration > self._start_secs: - self._audio_frames.pop(0) - buffer_duration -= frame_duration - - await self.push_frame(frame, direction) - - -class ContextSwitcher: - def __init__(self, llm, context_aggregator): - self._llm = llm - self._context_aggregator = context_aggregator - - async def switch_context(self, system_instruction): - """Switch the context to a new system instruction based on what the bot hears.""" - # Create messages with updated system instruction - messages = [ - { - "role": "system", - "content": system_instruction, - } - ] - - # Update context with new messages - self._context_aggregator.set_messages(messages) - # Get the context frame with the updated messages - context_frame = self._context_aggregator.get_context_frame() - # Trigger LLM response by pushing a context frame - await self._llm.push_frame(context_frame) - - -class FunctionHandlers: - def __init__(self, context_switcher): - self.context_switcher = context_switcher - - async def voicemail_response( - self, - function_name, - tool_call_id, - args, - llm: LLMService, - context, - result_callback, - ): - """Function the bot can call to leave a voicemail message.""" - message = """You are Chatbot leaving a voicemail message. Say EXACTLY this message and nothing else: - - "Hello, this is a message for Pipecat example user. This is Chatbot. Please call back on 123-456-7891. Thank you." - - After saying this message, call the terminate_call function.""" - - await self.context_switcher.switch_context(system_instruction=message) - await result_callback("Leaving a voicemail message") - - async def human_conversation( - self, - function_name, - tool_call_id, - args, - llm: LLMService, - context, - result_callback, - ): - """Function the bot can when it detects it's talking to a human.""" - await llm.push_frame(StopTaskFrame(), FrameDirection.UPSTREAM) - - -async def terminate_call( - function_name, - tool_call_id, - args, - llm: LLMService, - context, - result_callback, - call_state=None, -): - """Function the bot can call to terminate the call upon completion of the call.""" - if call_state: - call_state.bot_terminated_call = True - await llm.push_frame(EndTaskFrame(), FrameDirection.UPSTREAM) - - -async def main( - room_url: str, - token: str, - callId: Optional[str], - callDomain: Optional[str], - detect_voicemail: bool, - dialout_number: Optional[str], -): - dialin_settings = None - if callId and callDomain: - dialin_settings = DailyDialinSettings(call_id=callId, call_domain=callDomain) - transport_params = DailyParams( - api_url=daily_api_url, - api_key=daily_api_key, - dialin_settings=dialin_settings, - audio_in_enabled=True, - audio_out_enabled=True, - camera_out_enabled=False, - vad_enabled=True, - vad_analyzer=SileroVADAnalyzer(), - vad_audio_passthrough=True, - ) - else: - transport_params = DailyParams( - api_url=daily_api_url, - api_key=daily_api_key, - audio_in_enabled=True, - audio_out_enabled=True, - camera_out_enabled=False, - vad_enabled=True, - vad_analyzer=SileroVADAnalyzer(), - vad_audio_passthrough=True, - ) - - class CallState: - participant_left_early = False - bot_terminated_call = False - - call_state = CallState() - - transport = DailyTransport( - room_url, - token, - "Chatbot", - transport_params, - ) - - tts = ElevenLabsTTSService( - api_key=os.getenv("ELEVENLABS_API_KEY", ""), - voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""), - ) - - stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY")) - - ### VOICEMAIL PIPELINE - - tools = [ - { - "function_declarations": [ - { - "name": "switch_to_voicemail_response", - "description": "Call this function when you detect this is a voicemail system.", - }, - { - "name": "switch_to_human_conversation", - "description": "Call this function when you detect this is a human.", - }, - { - "name": "terminate_call", - "description": "Call this function to terminate the call.", - }, - ] - } - ] - - system_instruction = """You are Chatbot trying to determine if this is a voicemail system or a human. - - If you hear any of these phrases (or very similar ones): - - "Please leave a message after the beep" - - "No one is available to take your call" - - "Record your message after the tone" - - "You have reached voicemail for..." - - "You have reached [phone number]" - - "[phone number] is unavailable" - - "The person you are trying to reach..." - - "The number you have dialed..." - - "Your call has been forwarded to an automated voice messaging system" - - Then call the function switch_to_voicemail_response. - - If it sounds like a human (saying hello, asking questions, etc.), call the function switch_to_human_conversation. - - DO NOT say anything until you've determined if this is a voicemail or human.""" - - voicemail_detection_llm = GoogleLLMService( - model="models/gemini-2.0-flash-lite", - api_key=os.getenv("GOOGLE_API_KEY"), - system_instruction=system_instruction, - tools=tools, - ) - - voicemail_detection_context = GoogleLLMContext() - voicemail_detection_context_aggregator = voicemail_detection_llm.create_context_aggregator( - voicemail_detection_context - ) - context_switcher = ContextSwitcher( - voicemail_detection_llm, voicemail_detection_context_aggregator.user() - ) - handlers = FunctionHandlers(context_switcher) - - voicemail_detection_llm.register_function( - "switch_to_voicemail_response", handlers.voicemail_response - ) - voicemail_detection_llm.register_function( - "switch_to_human_conversation", handlers.human_conversation - ) - voicemail_detection_llm.register_function( - "terminate_call", - lambda *args, **kwargs: terminate_call(*args, **kwargs, call_state=call_state), - ) - - voicemail_detection_audio_collector = UserAudioCollector( - voicemail_detection_context, voicemail_detection_context_aggregator.user() - ) - - voicemail_detection_pipeline = Pipeline( - [ - transport.input(), # Transport user input - voicemail_detection_audio_collector, # Collect audio frames - voicemail_detection_context_aggregator.user(), # User responses - voicemail_detection_llm, # LLM - tts, # TTS - transport.output(), # Transport bot output - voicemail_detection_context_aggregator.assistant(), # Assistant spoken responses - ] - ) - voicemail_detection_pipeline_task = PipelineTask( - voicemail_detection_pipeline, - params=PipelineParams(allow_interruptions=True), - ) - - if dialout_number: - logger.debug("dialout number detected; doing dialout") - - # Configure some handlers for dialing out - @transport.event_handler("on_joined") - async def on_joined(transport, data): - logger.debug(f"Joined; starting dialout to: {dialout_number}") - await transport.start_dialout({"phoneNumber": dialout_number}) - - @transport.event_handler("on_dialout_connected") - async def on_dialout_connected(transport, data): - logger.debug(f"Dial-out connected: {data}") - - @transport.event_handler("on_dialout_answered") - async def on_dialout_answered(transport, data): - logger.debug(f"Dial-out answered: {data}") - - @transport.event_handler("on_first_participant_joined") - async def on_first_participant_joined(transport, participant): - await transport.capture_participant_transcription(participant["id"]) - # unlike the dialin case, for the dialout case, the caller will speak first. Presumably - # they will answer the phone and say "Hello?" Since we've captured their transcript, - # That will put a frame into the pipeline and prompt an LLM completion, which is how the - # bot will then greet the user. - elif detect_voicemail: - logger.debug("Detect voicemail example. You can test this in example in Daily Prebuilt") - - # For the voicemail detection case, we do not want the bot to answer the phone. We want it to wait for the voicemail - # machine to say something like 'Leave a message after the beep', or for the user to say 'Hello?'. - @transport.event_handler("on_first_participant_joined") - async def on_first_participant_joined(transport, participant): - logger.debug("Detect voicemail; capturing participant transcription") - await transport.capture_participant_transcription(participant["id"]) - else: - logger.debug("+++++ No dialout number; assuming dialin") - - # Different handlers for dialin - @transport.event_handler("on_first_participant_joined") - async def on_first_participant_joined(transport, participant): - # This event is not firing for some reason - await transport.capture_participant_transcription(participant["id"]) - dialin_instructions = """Always call the function switch_to_human_conversation""" - messages = [ - { - "role": "system", - "content": dialin_instructions, - } - ] - voicemail_detection_context_aggregator.user().set_messages(messages) - await voicemail_detection_pipeline_task.queue_frames( - [voicemail_detection_context_aggregator.user().get_context_frame()] - ) - - runner = PipelineRunner() - - @transport.event_handler("on_participant_left") - async def on_participant_left(transport, participant, reason): - call_state.participant_left_early = True - await voicemail_detection_pipeline_task.queue_frame(EndFrame()) - - print("!!! starting voicemail detection pipeline") - await runner.run(voicemail_detection_pipeline_task) - print("!!! Done with voicemail detection pipeline") - - if call_state.participant_left_early or call_state.bot_terminated_call: - if call_state.participant_left_early: - print("!!! Participant left early; terminating call") - elif call_state.bot_terminated_call: - print("!!! Bot terminated call; not proceeding to human conversation") - return - - ### HUMAN CONVERSATION PIPELINE - - human_conversation_system_instruction = """You are Chatbot talking to a human. Be friendly and helpful. - - Start with: "Hello! I'm a friendly chatbot. How can I help you today?" - - Keep your responses brief and to the point. Listen to what the person says. - - When the person indicates they're done with the conversation by saying something like: - - "Goodbye" - - "That's all" - - "I'm done" - - "Thank you, that's all I needed" - - THEN say: "Thank you for chatting. Goodbye!" and call the terminate_call function.""" - - human_conversation_llm = GoogleLLMService( - model="models/gemini-2.0-flash-001", - api_key=os.getenv("GOOGLE_API_KEY"), - system_instruction=human_conversation_system_instruction, - tools=tools, - ) - human_conversation_context = GoogleLLMContext() - - human_conversation_context_aggregator = human_conversation_llm.create_context_aggregator( - human_conversation_context - ) - - human_conversation_llm.register_function( - "terminate_call", - lambda *args, **kwargs: terminate_call(*args, **kwargs, call_state=call_state), - ) - - human_conversation_pipeline = Pipeline( - [ - transport.input(), # Transport user input - stt, - human_conversation_context_aggregator.user(), # User responses - human_conversation_llm, # LLM - tts, # TTS - transport.output(), # Transport bot output - human_conversation_context_aggregator.assistant(), # Assistant spoken responses - ] - ) - - human_conversation_pipeline_task = PipelineTask( - human_conversation_pipeline, - params=PipelineParams(allow_interruptions=True), - ) - - @transport.event_handler("on_participant_left") - async def on_participant_left(transport, participant, reason): - await voicemail_detection_pipeline_task.queue_frame(EndFrame()) - await human_conversation_pipeline_task.queue_frame(EndFrame()) - - print("!!! starting human conversation pipeline") - human_conversation_context_aggregator.user().set_messages( - [ - { - "role": "system", - "content": human_conversation_system_instruction, - } - ] - ) - await human_conversation_pipeline_task.queue_frames( - [human_conversation_context_aggregator.user().get_context_frame()] - ) - await runner.run(human_conversation_pipeline_task) - - print("!!! Done with human conversation pipeline") - - -if __name__ == "__main__": - parser = argparse.ArgumentParser(description="Pipecat Simple ChatBot") - parser.add_argument("-u", type=str, help="Room URL") - parser.add_argument("-t", type=str, help="Token") - parser.add_argument("-i", type=str, help="Call ID") - parser.add_argument("-d", type=str, help="Call Domain") - parser.add_argument("-v", action="store_true", help="Detect voicemail") - parser.add_argument("-o", type=str, help="Dialout number", default=None) - config = parser.parse_args() - - asyncio.run(main(config.u, config.t, config.i, config.d, config.v, config.o)) diff --git a/examples/phone-chatbot/bot_definitions.py b/examples/phone-chatbot/bot_definitions.py new file mode 100644 index 000000000..33d249e03 --- /dev/null +++ b/examples/phone-chatbot/bot_definitions.py @@ -0,0 +1,55 @@ +# bot_definitions.py +"""Definitions of different bot types for the bot registry.""" + +from bot_registry import BotRegistry, BotType +from bot_runner_helpers import ( + create_call_transfer_settings, + create_simple_dialin_settings, + create_simple_dialout_settings, +) + +# Create and configure the bot registry +bot_registry = BotRegistry() + +# Register bot types +bot_registry.register( + BotType( + name="call_transfer", + settings_creator=create_call_transfer_settings, + required_settings=["dialin_settings"], + incompatible_with=["simple_dialin", "simple_dialout", "voicemail_detection"], + auto_add_settings={"dialin_settings": {}}, + ) +) + +bot_registry.register( + BotType( + name="simple_dialin", + settings_creator=create_simple_dialin_settings, + required_settings=["dialin_settings"], + incompatible_with=["call_transfer", "simple_dialout", "voicemail_detection"], + auto_add_settings={"dialin_settings": {}}, + ) +) + +bot_registry.register( + BotType( + name="simple_dialout", + settings_creator=create_simple_dialout_settings, + required_settings=["dialout_settings"], + incompatible_with=["call_transfer", "simple_dialin", "voicemail_detection"], + auto_add_settings={"dialout_settings": [{}]}, + ) +) + +bot_registry.register( + BotType( + name="voicemail_detection", + settings_creator=lambda body: body.get( + "voicemail_detection", {} + ), # No creator function in original code + required_settings=["dialout_settings"], + incompatible_with=["call_transfer", "simple_dialin", "simple_dialout"], + auto_add_settings={"dialout_settings": [{}]}, + ) +) diff --git a/examples/phone-chatbot/bot_registry.py b/examples/phone-chatbot/bot_registry.py new file mode 100644 index 000000000..a60fe614c --- /dev/null +++ b/examples/phone-chatbot/bot_registry.py @@ -0,0 +1,137 @@ +# bot_registry.py +"""Bot registry pattern for managing different bot types.""" + +from typing import Any, Callable, Dict, List, Optional + +from bot_constants import DEFAULT_DIALIN_EXAMPLE +from bot_runner_helpers import ensure_dialout_settings_array +from fastapi import HTTPException + + +class BotType: + """Bot type configuration and handling.""" + + def __init__( + self, + name: str, + settings_creator: Callable[[Dict[str, Any]], Dict[str, Any]], + required_settings: list = None, + incompatible_with: list = None, + auto_add_settings: dict = None, + ): + """Initialize a bot type. + + Args: + name: Name of the bot type + settings_creator: Function to create/update settings for this bot type + required_settings: List of settings this bot type requires + incompatible_with: List of bot types this one cannot be used with + auto_add_settings: Settings to add if this bot is being run in test mode + """ + self.name = name + self.settings_creator = settings_creator + self.required_settings = required_settings or [] + self.incompatible_with = incompatible_with or [] + self.auto_add_settings = auto_add_settings or {} + + def has_test_mode(self, body: Dict[str, Any]) -> bool: + """Check if this bot type is configured for test mode.""" + return self.name in body and body[self.name].get("testInPrebuilt", False) + + def create_settings(self, body: Dict[str, Any]) -> Dict[str, Any]: + """Create or update settings for this bot type.""" + body[self.name] = self.settings_creator(body) + return body + + def prepare_for_test(self, body: Dict[str, Any]) -> Dict[str, Any]: + """Add required settings for test mode if they don't exist.""" + for setting, default_value in self.auto_add_settings.items(): + if setting not in body: + body[setting] = default_value + return body + + +class BotRegistry: + """Registry for managing different bot types.""" + + def __init__(self): + self.bots = {} + self.bot_validation_rules = [] + + def register(self, bot_type: BotType): + """Register a bot type.""" + self.bots[bot_type.name] = bot_type + return self + + def get_bot(self, name: str) -> BotType: + """Get a bot type by name.""" + return self.bots.get(name) + + def detect_bot_type(self, body: Dict[str, Any]) -> Optional[str]: + """Detect which bot type to use based on configuration.""" + # First check for test mode bots + for name, bot in self.bots.items(): + if bot.has_test_mode(body): + return name + + # Then check for specific combinations of settings + for name, bot in self.bots.items(): + if name in body and all(req in body for req in bot.required_settings): + return name + + # Default for dialin settings + if "dialin_settings" in body: + return DEFAULT_DIALIN_EXAMPLE + + return None + + def validate_bot_combination(self, body: Dict[str, Any]) -> List[str]: + """Validate that bot types in the configuration are compatible.""" + errors = [] + bot_types_in_config = [name for name in self.bots.keys() if name in body] + + # Check each bot type against its incompatible list + for bot_name in bot_types_in_config: + bot = self.bots[bot_name] + for incompatible in bot.incompatible_with: + if incompatible in body: + errors.append( + f"Cannot have both '{bot_name}' and '{incompatible}' in the same configuration" + ) + + return errors + + def setup_configuration(self, body: Dict[str, Any]) -> Dict[str, Any]: + """Set up bot configuration based on detected bot type.""" + # Ensure dialout_settings is an array if present + body = ensure_dialout_settings_array(body) + + # Detect which bot type to use + bot_type_name = self.detect_bot_type(body) + if not bot_type_name: + raise HTTPException( + status_code=400, detail="Configuration doesn't match any supported scenario" + ) + + # If we have a dialin scenario but no explicit bot type, add the default + if "dialin_settings" in body and bot_type_name == DEFAULT_DIALIN_EXAMPLE: + if bot_type_name not in body: + body[bot_type_name] = {} + + # Get the bot type object + bot_type = self.get_bot(bot_type_name) + + # Create/update settings for the bot type + body = bot_type.create_settings(body) + + # If in test mode, add any required settings + if bot_type.has_test_mode(body): + body = bot_type.prepare_for_test(body) + + # Validate bot combinations + errors = self.validate_bot_combination(body) + if errors: + error_message = "Invalid configuration: " + "; ".join(errors) + raise HTTPException(status_code=400, detail=error_message) + + return body diff --git a/examples/phone-chatbot/bot_runner.py b/examples/phone-chatbot/bot_runner.py index 987133a65..0de27ff8c 100644 --- a/examples/phone-chatbot/bot_runner.py +++ b/examples/phone-chatbot/bot_runner.py @@ -1,24 +1,22 @@ -# -# Copyright (c) 2024–2025, Daily -# -# SPDX-License-Identifier: BSD 2-Clause License -# - -""" -bot_runner.py - -HTTP service that listens for incoming calls from either Daily or Twilio, -provisioning a room and starting a Pipecat bot in response. - -Refer to README for more information. -""" - import argparse +import json import os +import shlex import subprocess from contextlib import asynccontextmanager +from typing import Any, Dict import aiohttp +from bot_constants import ( + MAX_SESSION_TIME, + REQUIRED_ENV_VARS, +) +from bot_definitions import bot_registry +from bot_runner_helpers import ( + determine_room_capabilities, + ensure_prompt_config, + process_dialin_request, +) from dotenv import load_dotenv from fastapi import FastAPI, HTTPException, Request from fastapi.middleware.cors import CORSMiddleware @@ -27,7 +25,6 @@ from twilio.twiml.voice_response import VoiceResponse from pipecat.transports.services.helpers.daily_rest import ( DailyRESTHelper, - DailyRoomObject, DailyRoomParams, DailyRoomProperties, DailyRoomSipParams, @@ -35,15 +32,126 @@ from pipecat.transports.services.helpers.daily_rest import ( load_dotenv(override=True) - -# ------------ Configuration ------------ # - -MAX_SESSION_TIME = 5 * 60 # 5 minutes -REQUIRED_ENV_VARS = ["OPENAI_API_KEY", "DAILY_API_KEY", "ELEVENLABS_API_KEY", "ELEVENLABS_VOICE_ID"] - daily_helpers = {} -# ----------------- API ----------------- # + +# ----------------- Daily Room Management ----------------- # + + +async def create_daily_room(room_url: str = None, config_body: Dict[str, Any] = None): + """Create or retrieve a Daily room with appropriate properties based on the configuration. + + Args: + room_url: Optional existing room URL + config_body: Optional configuration that determines room capabilities + + Returns: + Dict containing room URL, token, and SIP endpoint + """ + if not room_url: + # Get room capabilities based on the configuration + capabilities = determine_room_capabilities(config_body) + + # Configure SIP parameters if dialin is needed + sip_params = None + if capabilities["enable_dialin"]: + sip_params = DailyRoomSipParams( + display_name="dialin-user", video=False, sip_mode="dial-in", num_endpoints=2 + ) + + # Create the properties object with the appropriate settings + properties = DailyRoomProperties(sip=sip_params) + + # Set dialout capability if needed + if capabilities["enable_dialout"]: + properties.enable_dialout = True + + # Log the capabilities being used + capability_str = ", ".join([f"{k}={v}" for k, v in capabilities.items()]) + print(f"Creating room with capabilities: {capability_str}") + + params = DailyRoomParams(properties=properties) + + print("Creating new room...") + room = await daily_helpers["rest"].create_room(params=params) + else: + # Check if passed room URL exists + try: + room = await daily_helpers["rest"].get_room_from_url(room_url) + except Exception: + raise HTTPException(status_code=500, detail=f"Room not found: {room_url}") + + print(f"Daily room: {room.url} {room.config.sip_endpoint}") + + # Get token for the agent + token = await daily_helpers["rest"].get_token(room.url, MAX_SESSION_TIME) + + if not room or not token: + raise HTTPException(status_code=500, detail="Failed to get room or token") + + return {"room": room.url, "token": token, "sip_endpoint": room.config.sip_endpoint} + + +# ----------------- Bot Process Management ----------------- # + + +async def start_bot(room_details: Dict[str, str], body: Dict[str, Any], example: str) -> bool: + """Start a bot process with the given configuration. + + Args: + room_details: Room URL and token + body: Bot configuration + example: Example script to run + + Returns: + Boolean indicating success + """ + room_url = room_details["room"] + token = room_details["token"] + + # Properly format body as JSON string for command line + body_json = json.dumps(body).replace('"', '\\"') + print(f"++++ Body JSON: {body_json}") + + # Modified to use non-LLM-specific bot module names + bot_proc = f'python3 -m {example} -u {room_url} -t {token} -b "{body_json}"' + print(f"Starting bot. Example: {example}, Room: {room_url}") + + try: + command_parts = shlex.split(bot_proc) + subprocess.Popen(command_parts, bufsize=1, cwd=os.path.dirname(os.path.abspath(__file__))) + return True + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}") + + +async def start_twilio_bot(room_details: Dict[str, str], call_id: str) -> bool: + """Start a Twilio bot process with the given configuration. + + Args: + room_details: Room URL, token, and SIP endpoint + call_id: Twilio call ID (CallSid) + + Returns: + Boolean indicating success + """ + room_url = room_details["room"] + token = room_details["token"] + sip_endpoint = room_details["sip_endpoint"] + + # Format command for Twilio bot + bot_proc = f"python3 -m bot_twilio -u {room_url} -t {token} -i {call_id} -s {sip_endpoint}" + print(f"Starting Twilio bot. Room: {room_url}") + + try: + command_parts = shlex.split(bot_proc) + subprocess.Popen(command_parts, bufsize=1, cwd=os.path.dirname(os.path.abspath(__file__))) + return True + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}") + + +# ----------------- API Setup ----------------- # @asynccontextmanager @@ -68,111 +176,44 @@ app.add_middleware( allow_headers=["*"], ) -""" -Create Daily room, tell the bot if the room is created for Twilio's SIP or Daily's SIP (vendor). -When the vendor is Daily, the bot handles the call forwarding automatically, -i.e, forwards the call from the "hold music state" to the Daily Room's SIP URI. -Alternatively, when the vendor is Twilio (not Daily), the bot is responsible for -updating the state on Twilio. So when `dialin-ready` fires, it takes appropriate -action using the Twilio Client library. -""" - - -async def _create_daily_room( - room_url, callId, callDomain=None, dialoutNumber=None, vendor="daily", detect_voicemail=False -): - if not room_url: - # Create base properties with SIP settings - properties = DailyRoomProperties( - sip=DailyRoomSipParams( - display_name="dialin-user", video=False, sip_mode="dial-in", num_endpoints=1 - ) - ) - - # Only enable dialout if dialoutNumber is provided - if dialoutNumber: - properties.enable_dialout = True - - params = DailyRoomParams(properties=properties) - - print(f"Creating new room...") - room: DailyRoomObject = await daily_helpers["rest"].create_room(params=params) - - else: - # Check passed room URL exist (we assume that it already has a sip set up!) - try: - room: DailyRoomObject = await daily_helpers["rest"].get_room_from_url(room_url) - except Exception: - raise HTTPException(status_code=500, detail=f"Room not found: {room_url}") - - print(f"Daily room: {room.url} {room.config.sip_endpoint}") - - # Give the agent a token to join the session - token = await daily_helpers["rest"].get_token(room.url, MAX_SESSION_TIME) - - if not room or not token: - raise HTTPException(status_code=500, detail=f"Failed to get room or token token") - - # Spawn a new agent, and join the user session - # Note: this is mostly for demonstration purposes (refer to 'deployment' in docs) - print(f"Vendor: {vendor}") - if vendor == "daily": - bot_proc = f"python3 -m bot_daily -u {room.url} -t {token} -i {callId} -d {callDomain}{' -v' if detect_voicemail else ''}" - if dialoutNumber: - bot_proc += f" -o {dialoutNumber}" - elif vendor == "daily-gemini": - bot_proc = f"python3 -m bot_daily_gemini -u {room.url} -t {token} -i {callId} -d {callDomain}{' -v' if detect_voicemail else ''}" - if dialoutNumber: - bot_proc += f" -o {dialoutNumber}" - else: - bot_proc = f"python3 -m bot_twilio -u {room.url} -t {token} -i {callId} -s {room.config.sip_endpoint}" - - try: - subprocess.Popen( - [bot_proc], shell=True, bufsize=1, cwd=os.path.dirname(os.path.abspath(__file__)) - ) - except Exception as e: - raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}") - - return room +# ----------------- API Endpoints ----------------- # @app.post("/twilio_start_bot", response_class=PlainTextResponse) async def twilio_start_bot(request: Request): - print(f"POST /twilio_voice_bot") + """Handle incoming Twilio webhook calls and start a Twilio bot. - # twilio_start_bot is invoked directly by Twilio (as a web hook). - # On Twilio, under Active Numbers, pick the phone number - # Click Configure and under Voice Configuration, - # "a call comes in" choose webhook and point the URL to - # where this code is hosted. - data = {} + This endpoint is called directly by Twilio as a webhook when a call is received. + It puts the call on hold with music and starts a bot that will handle the call. + """ + print("POST /twilio_start_bot") + + # Get form data from Twilio webhook try: - # shouldnt have received json, twilio sends form data form_data = await request.form() data = dict(form_data) - except Exception: - pass + except Exception as e: + raise HTTPException(status_code=400, detail=f"Failed to parse Twilio form data: {str(e)}") + # Get default room URL from environment room_url = os.getenv("DAILY_SAMPLE_ROOM_URL", None) - callId = data.get("CallSid") - if not callId: - raise HTTPException(status_code=500, detail="Missing 'CallSid' in request") + # Extract call ID from Twilio data + call_id = data.get("CallSid") + if not call_id: + raise HTTPException(status_code=400, detail="Missing 'CallSid' in request") - print("CallId: %s" % callId) + print(f"CallId: {call_id}") - # create room and tell the bot to join the created room - # note: Twilio does not require a callDomain - room: DailyRoomObject = await _create_daily_room(room_url, callId, None, "twilio") + # Create Daily room for the Twilio call + room_details = await create_daily_room(room_url, None) # No special config for Twilio rooms - print(f"Put Twilio on hold...") - # We have the room and the SIP URI, - # but we do not know if the Daily SIP Worker and the Bot have joined the call - # put the call on hold until the 'on_dialin_ready' fires. - # Then, the bot will update the called sid with the sip uri. - # http://com.twilio.music.classical.s3.amazonaws.com/BusyStrings.mp3 + # Start the Twilio bot + await start_twilio_bot(room_details, call_id) + + # Put the call on hold until the bot is ready to handle it + # The bot will update the call with the SIP URI when it's ready resp = VoiceResponse() resp.play( url="http://com.twilio.sounds.music.s3.amazonaws.com/MARKOVICHAMP-Borghestral.mp3", loop=10 @@ -180,73 +221,98 @@ async def twilio_start_bot(request: Request): return str(resp) -@app.post("/daily_start_bot") -async def daily_start_bot(request: Request) -> JSONResponse: - # The /daily_start_bot is invoked when a call is received on Daily's SIP URI - # daily_start_bot will create the room, put the call on hold until - # the bot and sip worker are ready. Daily will automatically - # forward the call to the SIP URi when dialin_ready fires. - - # Use specified room URL, or create a new one if not specified +@app.post("/start") +async def handle_start_request(request: Request) -> JSONResponse: + """Unified endpoint to handle bot configuration for different scenarios.""" + # Get default room URL from environment room_url = os.getenv("DAILY_SAMPLE_ROOM_URL", None) - # Get the dial-in properties from the request + try: - data = await request.json() + # Check if this is form data (from Twilio) or JSON + content_type = request.headers.get("content-type", "").lower() + + if "application/x-www-form-urlencoded" in content_type: + # Handle form data from Twilio + form_data = await request.form() + data = dict(form_data) + + # Check for CallSid which indicates this is a Twilio webhook + if "CallSid" in data: + # Redirect to Twilio handler for backward compatibility + return await twilio_start_bot(request) + else: + # Parse JSON request data + data = await request.json() + + # Handle webhook test if "test" in data: - # Pass through any webhook checks return JSONResponse({"test": True}) - detect_voicemail = data.get("detectVoicemail", False) - callId = data.get("callId", None) - callDomain = data.get("callDomain", None) - dialoutNumber = data.get("dialoutNumber", None) - except Exception: - raise HTTPException( - status_code=500, detail="Missing properties 'callId', 'callDomain', or 'dialoutNumber'" - ) - room: DailyRoomObject = await _create_daily_room( - room_url, callId, callDomain, dialoutNumber, "daily", detect_voicemail - ) + # Handle direct dialin webhook from Daily + if all(key in data for key in ["From", "To", "callId", "callDomain"]): + body = await process_dialin_request(data) + # Handle body-based request + elif "config" in data: + # Use the registry to set up the bot configuration + body = bot_registry.setup_configuration(data["config"]) + else: + raise HTTPException(status_code=400, detail="Invalid request format") - # Grab a token for the user to join with - return JSONResponse({"room_url": room.url, "sipUri": room.config.sip_endpoint}) + # Ensure prompt configuration + body = ensure_prompt_config(body) + # Detect which bot type to use + bot_type_name = bot_registry.detect_bot_type(body) + if not bot_type_name: + raise HTTPException( + status_code=400, detail="Configuration doesn't match any supported scenario" + ) -@app.post("/daily_gemini_start_bot") -async def daily_gemini_start_bot(request: Request) -> JSONResponse: - # The /daily_start_bot is invoked when a call is received on Daily's SIP URI - # daily_start_bot will create the room, put the call on hold until - # the bot and sip worker are ready. Daily will automatically - # forward the call to the SIP URi when dialin_ready fires. + # Create the Daily room + room_details = await create_daily_room(room_url, body) - # Use specified room URL, or create a new one if not specified - room_url = os.getenv("DAILY_SAMPLE_ROOM_URL", None) - # Get the dial-in properties from the request - try: - data = await request.json() - if "test" in data: - # Pass through any webhook checks - return JSONResponse({"test": True}) - detect_voicemail = data.get("detectVoicemail", False) - callId = data.get("callId", None) - callDomain = data.get("callDomain", None) - dialoutNumber = data.get("dialoutNumber", None) - except Exception: - raise HTTPException( - status_code=500, detail="Missing properties 'callId', 'callDomain', or 'dialoutNumber'" - ) + # Start the bot + await start_bot(room_details, body, bot_type_name) - room: DailyRoomObject = await _create_daily_room( - room_url, callId, callDomain, dialoutNumber, "daily-gemini", detect_voicemail - ) + # Get the bot type + bot_type = bot_registry.get_bot(bot_type_name) - # Grab a token for the user to join with - return JSONResponse({"room_url": room.url, "sipUri": room.config.sip_endpoint}) + # Build the response + response = {"status": "Bot started", "bot_type": bot_type_name} + + # Add room URL for test mode + if bot_type.has_test_mode(body): + response["room_url"] = room_details["room"] + # Remove llm_model from response as it's no longer relevant + if "llm" in body: + response["llm_provider"] = body["llm"] # Optionally keep track of provider + + # Add dialout info for dialout scenarios + if "dialout_settings" in body and len(body["dialout_settings"]) > 0: + first_setting = body["dialout_settings"][0] + if "phoneNumber" in first_setting: + response["dialing_to"] = f"phone:{first_setting['phoneNumber']}" + elif "sipUri" in first_setting: + response["dialing_to"] = f"sip:{first_setting['sipUri']}" + + return JSONResponse(response) + + except json.JSONDecodeError: + # Check if this might be form data from Twilio + try: + content_type = request.headers.get("content-type", "").lower() + if "application/x-www-form-urlencoded" in content_type: + return await twilio_start_bot(request) + except Exception: + pass + + raise HTTPException(status_code=400, detail="Invalid JSON in request body") + except Exception as e: + raise HTTPException(status_code=400, detail=f"Request processing error: {str(e)}") # ----------------- Main ----------------- # - if __name__ == "__main__": # Check environment variables for env_var in REQUIRED_ENV_VARS: diff --git a/examples/phone-chatbot/bot_runner_helpers.py b/examples/phone-chatbot/bot_runner_helpers.py new file mode 100644 index 000000000..bcb04d394 --- /dev/null +++ b/examples/phone-chatbot/bot_runner_helpers.py @@ -0,0 +1,211 @@ +# bot_runner_helpers.py +from typing import Any, Dict, Optional + +from bot_constants import ( + DEFAULT_CALLTRANSFER_MODE, + DEFAULT_DIALIN_EXAMPLE, + DEFAULT_SPEAK_SUMMARY, + DEFAULT_STORE_SUMMARY, + DEFAULT_TEST_IN_PREBUILT, +) +from call_connection_manager import CallConfigManager + +# ----------------- Configuration Helpers ----------------- # + + +def determine_room_capabilities(config_body: Optional[Dict[str, Any]] = None) -> Dict[str, bool]: + """Determine room capabilities based on the configuration. + + This function examines the configuration to determine which capabilities + the Daily room should have enabled. + + Args: + config_body: Configuration dictionary that determines room capabilities + + Returns: + Dictionary of capability flags + """ + capabilities = { + "enable_dialin": False, + "enable_dialout": False, + # Add more capabilities here in the future as needed + } + + if not config_body: + return capabilities + + # Check for dialin capability + capabilities["enable_dialin"] = "dialin_settings" in config_body + + # Check for dialout capability - needed for outbound calls or transfers + has_dialout_settings = "dialout_settings" in config_body + + # Check if there's a transfer to an operator configured + has_call_transfer = "call_transfer" in config_body + + # Enable dialout if any condition requires it + capabilities["enable_dialout"] = has_dialout_settings or has_call_transfer + + return capabilities + + +def ensure_dialout_settings_array(body: Dict[str, Any]) -> Dict[str, Any]: + """Ensures dialout_settings is an array of objects. + + Args: + body: The configuration dictionary + + Returns: + Updated configuration with dialout_settings as an array + """ + if "dialout_settings" in body: + # Convert to array if it's not already one + if not isinstance(body["dialout_settings"], list): + body["dialout_settings"] = [body["dialout_settings"]] + + return body + + +def ensure_prompt_config(body: Dict[str, Any]) -> Dict[str, Any]: + """Ensures the body has appropriate prompts settings, but doesn't add defaults. + + Only makes sure the prompt section exists, allowing the bot script to handle defaults. + + Args: + body: The configuration dictionary + + Returns: + Updated configuration with prompt settings section + """ + if "prompts" not in body: + body["prompts"] = [] + return body + + +def create_call_transfer_settings(body: Dict[str, Any]) -> Dict[str, Any]: + """Create call transfer settings based on configuration and customer mapping. + + Args: + body: The configuration dictionary + + Returns: + Call transfer settings dictionary + """ + # Default transfer settings + transfer_settings = { + "mode": DEFAULT_CALLTRANSFER_MODE, + "speakSummary": DEFAULT_SPEAK_SUMMARY, + "storeSummary": DEFAULT_STORE_SUMMARY, + "testInPrebuilt": DEFAULT_TEST_IN_PREBUILT, + } + + # If call_transfer already exists, merge the defaults with the existing settings + # This ensures all required fields exist while preserving user-specified values + if "call_transfer" in body: + existing_settings = body["call_transfer"] + # Update defaults with existing settings (existing values will override defaults) + for key, value in existing_settings.items(): + transfer_settings[key] = value + else: + # No existing call_transfer - check if we have dialin settings for customer lookup + if "dialin_settings" in body: + # Create a temporary routing manager just for customer lookup + call_config_manager = CallConfigManager(body) + + # Get caller info + caller_info = call_config_manager.get_caller_info() + from_number = caller_info.get("caller_number") + + if from_number: + # Get customer name from phone number + customer_name = call_config_manager.get_customer_name(from_number) + + # If we know the customer name, add it to the config for the bot to use + if customer_name: + transfer_settings["customerName"] = customer_name + + return transfer_settings + + +def create_simple_dialin_settings(body: Dict[str, Any]) -> Dict[str, Any]: + """Create simple dialin settings based on configuration. + + Args: + body: The configuration dictionary + + Returns: + Simple dialin settings dictionary + """ + # Default simple dialin settings + simple_dialin_settings = { + "testInPrebuilt": DEFAULT_TEST_IN_PREBUILT, + } + + # If simple_dialin already exists, merge the defaults with the existing settings + if "simple_dialin" in body: + existing_settings = body["simple_dialin"] + # Update defaults with existing settings (existing values will override defaults) + for key, value in existing_settings.items(): + simple_dialin_settings[key] = value + + return simple_dialin_settings + + +def create_simple_dialout_settings(body: Dict[str, Any]) -> Dict[str, Any]: + """Create simple dialout settings based on configuration. + + Args: + body: The configuration dictionary + + Returns: + Simple dialout settings dictionary + """ + # Default simple dialout settings + simple_dialout_settings = { + "testInPrebuilt": DEFAULT_TEST_IN_PREBUILT, + } + + # If simple_dialout already exists, merge the defaults with the existing settings + if "simple_dialout" in body: + existing_settings = body["simple_dialout"] + # Update defaults with existing settings (existing values will override defaults) + for key, value in existing_settings.items(): + simple_dialout_settings[key] = value + + return simple_dialout_settings + + +async def process_dialin_request(data: Dict[str, Any]) -> Dict[str, Any]: + """Process incoming dial-in request data to create a properly formatted body. + + Converts camelCase fields received from webhook to snake_case format + for internal consistency across the codebase. + + Args: + data: Raw dialin data from webhook + + Returns: + Properly formatted configuration with snake_case keys + """ + # Create base body with dialin settings + body = { + "dialin_settings": { + "to": data.get("To", ""), + "from": data.get("From", ""), + "call_id": data.get("callId", data.get("CallSid", "")), # Convert to snake_case + "call_domain": data.get("callDomain", ""), # Convert to snake_case + } + } + + # Use the global default to determine which example to run for dialin webhooks + example = DEFAULT_DIALIN_EXAMPLE + + # Configure the bot based on the example + if example == "call_transfer": + # Create call transfer settings + body["call_transfer"] = create_call_transfer_settings(body) + elif example == "simple_dialin": + # Create simple dialin settings + body["simple_dialin"] = create_simple_dialin_settings(body) + + return body diff --git a/examples/phone-chatbot/call_connection_manager.py b/examples/phone-chatbot/call_connection_manager.py new file mode 100644 index 000000000..ef1b9b97a --- /dev/null +++ b/examples/phone-chatbot/call_connection_manager.py @@ -0,0 +1,608 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# +"""call_connection_manager.py. + +Manages customer/operator relationships and call routing for voice bots. +Provides mapping between customers and operators, and functions for retrieving +contact information. Also includes call state management. +""" + +import json +import os +from typing import Any, Dict, List, Optional + +from loguru import logger + + +class CallFlowState: + """State for tracking call flow operations and state transitions.""" + + def __init__(self): + # Operator-related state + self.dialed_operator = False + self.operator_connected = False + self.current_operator_index = 0 + self.operator_dialout_settings = [] + self.summary_finished = False + + # Voicemail detection state + self.voicemail_detected = False + self.human_detected = False + self.voicemail_message_left = False + + # Call termination state + self.call_terminated = False + self.participant_left_early = False + + # Operator-related methods + def set_operator_dialed(self): + """Mark that an operator has been dialed.""" + self.dialed_operator = True + + def set_operator_connected(self): + """Mark that an operator has connected to the call.""" + self.operator_connected = True + # Summary is not finished when operator first connects + self.summary_finished = False + + def set_operator_disconnected(self): + """Handle operator disconnection.""" + self.operator_connected = False + self.summary_finished = False + + def set_summary_finished(self): + """Mark the summary as finished.""" + self.summary_finished = True + + def set_operator_dialout_settings(self, settings): + """Set the list of operator dialout settings to try.""" + self.operator_dialout_settings = settings + self.current_operator_index = 0 + + def get_current_dialout_setting(self): + """Get the current operator dialout setting to try.""" + if not self.operator_dialout_settings or self.current_operator_index >= len( + self.operator_dialout_settings + ): + return None + return self.operator_dialout_settings[self.current_operator_index] + + def move_to_next_operator(self): + """Move to the next operator in the list.""" + self.current_operator_index += 1 + return self.get_current_dialout_setting() + + # Voicemail detection methods + def set_voicemail_detected(self): + """Mark that a voicemail system has been detected.""" + self.voicemail_detected = True + self.human_detected = False + + def set_human_detected(self): + """Mark that a human has been detected (not voicemail).""" + self.human_detected = True + self.voicemail_detected = False + + def set_voicemail_message_left(self): + """Mark that a voicemail message has been left.""" + self.voicemail_message_left = True + + # Call termination methods + def set_call_terminated(self): + """Mark that the call has been terminated by the bot.""" + self.call_terminated = True + + def set_participant_left_early(self): + """Mark that a participant left the call early.""" + self.participant_left_early = True + + +class SessionManager: + """Centralized management of session IDs and state for all call participants.""" + + def __init__(self): + # Track session IDs of different participant types + self.session_ids = { + "operator": None, + "customer": None, + "bot": None, + # Add other participant types as needed + } + + # References for easy access in processors that need mutable containers + self.session_id_refs = { + "operator": [None], + "customer": [None], + "bot": [None], + # Add other participant types as needed + } + + # State object for call flow + self.call_flow_state = CallFlowState() + + def set_session_id(self, participant_type, session_id): + """Set the session ID for a specific participant type. + + Args: + participant_type: Type of participant (e.g., "operator", "customer", "bot") + session_id: The session ID to set + """ + if participant_type in self.session_ids: + self.session_ids[participant_type] = session_id + + # Also update the corresponding reference if it exists + if participant_type in self.session_id_refs: + self.session_id_refs[participant_type][0] = session_id + + def get_session_id(self, participant_type): + """Get the session ID for a specific participant type. + + Args: + participant_type: Type of participant (e.g., "operator", "customer", "bot") + + Returns: + The session ID or None if not set + """ + return self.session_ids.get(participant_type) + + def get_session_id_ref(self, participant_type): + """Get the mutable reference for a specific participant type. + + Args: + participant_type: Type of participant (e.g., "operator", "customer", "bot") + + Returns: + A mutable list container holding the session ID or None if not available + """ + return self.session_id_refs.get(participant_type) + + def is_participant_type(self, session_id, participant_type): + """Check if a session ID belongs to a specific participant type. + + Args: + session_id: The session ID to check + participant_type: Type of participant (e.g., "operator", "customer", "bot") + + Returns: + True if the session ID matches the participant type, False otherwise + """ + return self.session_ids.get(participant_type) == session_id + + def reset_participant(self, participant_type): + """Reset the state for a specific participant type. + + Args: + participant_type: Type of participant (e.g., "operator", "customer", "bot") + """ + if participant_type in self.session_ids: + self.session_ids[participant_type] = None + + if participant_type in self.session_id_refs: + self.session_id_refs[participant_type][0] = None + + # Additional reset actions for specific participant types + if participant_type == "operator": + self.call_flow_state.set_operator_disconnected() + + +class CallConfigManager: + """Manages customer/operator relationships and call routing.""" + + def __init__(self, body_data: Dict[str, Any] = None): + """Initialize with optional body data. + + Args: + body_data: Optional dictionary containing request body data + """ + self.body = body_data or {} + + # Get environment variables with fallbacks + self.dial_in_from_number = os.getenv("DIAL_IN_FROM_NUMBER", "+10000000001") + self.dial_out_to_number = os.getenv("DIAL_OUT_TO_NUMBER", "+10000000002") + self.operator_number = os.getenv("OPERATOR_NUMBER", "+10000000003") + + # Initialize maps with dynamic values + self._initialize_maps() + self._build_reverse_lookup_maps() + + def _initialize_maps(self): + """Initialize the customer and operator maps with environment variables.""" + # Maps customer names to their contact information + self.CUSTOMER_MAP = { + "Dominic": { + "phoneNumber": self.dial_in_from_number, # I have two phone numbers, one for dialing in and one for dialing out. I give myself a separate name for each. + }, + "Stewart": { + "phoneNumber": self.dial_out_to_number, + }, + "James": { + "phoneNumber": "+10000000000", + "callerId": "james-caller-id-uuid", + "sipUri": "sip:james@example.com", + }, + "Sarah": { + "sipUri": "sip:sarah@example.com", + }, + "Michael": { + "phoneNumber": "+16505557890", + "callerId": "michael-caller-id-uuid", + }, + } + + # Maps customer names to their assigned operator names + self.CUSTOMER_TO_OPERATOR_MAP = { + "Dominic": ["Yunyoung", "Maria"], # Try Yunyoung first, then Maria + "Stewart": "Yunyoung", + "James": "Yunyoung", + "Sarah": "Jennifer", + "Michael": "Paul", + # Default mapping to ensure all customers have an operator + "Default": "Yunyoung", + } + + # Maps operator names to their contact details + self.OPERATOR_CONTACT_MAP = { + "Paul": { + "phoneNumber": "+12345678904", + "callerId": "paul-caller-id-uuid", + }, + "Yunyoung": { + "phoneNumber": self.operator_number, # Dials out to my other phone number. + }, + "Maria": { + "sipUri": "sip:maria@example.com", + }, + "Jennifer": {"phoneNumber": "+14155559876", "callerId": "jennifer-caller-id-uuid"}, + "Default": { + "phoneNumber": self.operator_number, # Use the operator number as default + }, + } + + def _build_reverse_lookup_maps(self): + """Build reverse lookup maps for phone numbers and SIP URIs to customer names.""" + self._PHONE_TO_CUSTOMER_MAP = {} + self._SIP_TO_CUSTOMER_MAP = {} + + for customer_name, contact_info in self.CUSTOMER_MAP.items(): + if "phoneNumber" in contact_info: + self._PHONE_TO_CUSTOMER_MAP[contact_info["phoneNumber"]] = customer_name + if "sipUri" in contact_info: + self._SIP_TO_CUSTOMER_MAP[contact_info["sipUri"]] = customer_name + + @classmethod + def from_json_string(cls, json_string: str): + """Create a CallRoutingManager from a JSON string. + + Args: + json_string: JSON string containing body data + + Returns: + CallRoutingManager instance with parsed data + + Raises: + json.JSONDecodeError: If JSON string is invalid + """ + body_data = json.loads(json_string) + return cls(body_data) + + def find_customer_by_contact(self, contact_info: str) -> Optional[str]: + """Find customer name from a contact identifier (phone number or SIP URI). + + Args: + contact_info: The contact identifier (phone number or SIP URI) + + Returns: + The customer name or None if not found + """ + # Check if it's a phone number + if contact_info in self._PHONE_TO_CUSTOMER_MAP: + return self._PHONE_TO_CUSTOMER_MAP[contact_info] + + # Check if it's a SIP URI + if contact_info in self._SIP_TO_CUSTOMER_MAP: + return self._SIP_TO_CUSTOMER_MAP[contact_info] + + return None + + def get_customer_name(self, phone_number: str) -> Optional[str]: + """Get customer name from their phone number. + + Args: + phone_number: The customer's phone number + + Returns: + The customer name or None if not found + """ + # Note: In production, this would likely query a database + return self.find_customer_by_contact(phone_number) + + def get_operators_for_customer(self, customer_name: Optional[str]) -> List[str]: + """Get the operator name(s) assigned to a customer. + + Args: + customer_name: The customer's name + + Returns: + List of operator names (single item or multiple) + """ + # Note: In production, this would likely query a database + if not customer_name or customer_name not in self.CUSTOMER_TO_OPERATOR_MAP: + return ["Default"] + + operators = self.CUSTOMER_TO_OPERATOR_MAP[customer_name] + # Convert single string to list for consistency + if isinstance(operators, str): + return [operators] + return operators + + def get_operator_dialout_settings(self, operator_name: str) -> Dict[str, str]: + """Get an operator's dialout settings from their name. + + Args: + operator_name: The operator's name + + Returns: + Dictionary with dialout settings for the operator + """ + # Note: In production, this would likely query a database + return self.OPERATOR_CONTACT_MAP.get(operator_name, self.OPERATOR_CONTACT_MAP["Default"]) + + def get_dialout_settings_for_caller( + self, from_number: Optional[str] = None + ) -> List[Dict[str, str]]: + """Determine the appropriate operator dialout settings based on caller's number. + + This method uses the caller's number to look up the customer name, + then finds the assigned operators for that customer, and returns + an array of operator dialout settings to try in sequence. + + Args: + from_number: The caller's phone number (from dialin_settings) + + Returns: + List of operator dialout settings to try + """ + if not from_number: + # If we don't have dialin settings, use the Default operator + return [self.get_operator_dialout_settings("Default")] + + # Get customer name from phone number + customer_name = self.get_customer_name(from_number) + + # Get operator names assigned to this customer + operator_names = self.get_operators_for_customer(customer_name) + + # Get dialout settings for each operator + return [self.get_operator_dialout_settings(name) for name in operator_names] + + def get_caller_info(self) -> Dict[str, Optional[str]]: + """Get caller and dialed numbers from dialin settings in the body. + + Returns: + Dictionary containing caller_number and dialed_number + """ + raw_dialin_settings = self.body.get("dialin_settings") + if not raw_dialin_settings: + return {"caller_number": None, "dialed_number": None} + + # Handle different case variations + dialed_number = raw_dialin_settings.get("To") or raw_dialin_settings.get("to") + caller_number = raw_dialin_settings.get("From") or raw_dialin_settings.get("from") + + return {"caller_number": caller_number, "dialed_number": dialed_number} + + def get_caller_number(self) -> Optional[str]: + """Get the caller's phone number from dialin settings in the body. + + Returns: + The caller's phone number or None if not available + """ + return self.get_caller_info()["caller_number"] + + async def start_dialout(self, transport, dialout_settings=None): + """Helper function to start dialout using the provided settings or from body. + + Args: + transport: The transport instance to use for dialout + dialout_settings: Optional override for dialout settings + + Returns: + None + """ + # Use provided settings or get from body + settings = dialout_settings or self.get_dialout_settings() + if not settings: + logger.warning("No dialout settings available") + return + + for setting in settings: + if "phoneNumber" in setting: + logger.info(f"Dialing number: {setting['phoneNumber']}") + if "callerId" in setting: + logger.info(f"with callerId: {setting['callerId']}") + await transport.start_dialout( + {"phoneNumber": setting["phoneNumber"], "callerId": setting["callerId"]} + ) + else: + logger.info("with no callerId") + await transport.start_dialout({"phoneNumber": setting["phoneNumber"]}) + elif "sipUri" in setting: + logger.info(f"Dialing sipUri: {setting['sipUri']}") + await transport.start_dialout({"sipUri": setting["sipUri"]}) + else: + logger.warning(f"Unknown dialout setting format: {setting}") + + def get_dialout_settings(self) -> Optional[List[Dict[str, Any]]]: + """Extract dialout settings from the body. + + Returns: + List of dialout setting objects or None if not present + """ + # Check if we have dialout settings + if "dialout_settings" in self.body: + dialout_settings = self.body["dialout_settings"] + + # Convert to list if it's an object (for backward compatibility) + if isinstance(dialout_settings, dict): + return [dialout_settings] + elif isinstance(dialout_settings, list): + return dialout_settings + + return None + + def get_dialin_settings(self) -> Optional[Dict[str, Any]]: + """Extract dialin settings from the body. + + Handles both camelCase and snake_case variations of fields for backward compatibility, + but normalizes to snake_case for internal usage. + + Returns: + Dictionary containing dialin settings or None if not present + """ + raw_dialin_settings = self.body.get("dialin_settings") + if not raw_dialin_settings: + return None + + # Normalize dialin settings to handle different case variations + # Prioritize snake_case (call_id, call_domain) but fall back to camelCase (callId, callDomain) + dialin_settings = { + "call_id": raw_dialin_settings.get("call_id") or raw_dialin_settings.get("callId"), + "call_domain": raw_dialin_settings.get("call_domain") + or raw_dialin_settings.get("callDomain"), + "to": raw_dialin_settings.get("to") or raw_dialin_settings.get("To"), + "from": raw_dialin_settings.get("from") or raw_dialin_settings.get("From"), + } + + return dialin_settings + + # Bot prompt helper functions - no defaults provided, just return what's in the body + + def get_prompt(self, prompt_name: str) -> Optional[str]: + """Retrieve the prompt text for a given prompt name. + + Args: + prompt_name: The name of the prompt to retrieve. + + Returns: + The prompt string corresponding to the provided name, or None if not configured. + """ + prompts = self.body.get("prompts", []) + for prompt in prompts: + if prompt.get("name") == prompt_name: + return prompt.get("text") + return None + + def get_transfer_mode(self) -> Optional[str]: + """Get transfer mode from the body. + + Returns: + Transfer mode string or None if not configured + """ + if "call_transfer" in self.body: + return self.body["call_transfer"].get("mode") + return None + + def get_speak_summary(self) -> Optional[bool]: + """Get speak summary from the body. + + Returns: + Boolean indicating if summary should be spoken or None if not configured + """ + if "call_transfer" in self.body: + return self.body["call_transfer"].get("speakSummary") + return None + + def get_store_summary(self) -> Optional[bool]: + """Get store summary from the body. + + Returns: + Boolean indicating if summary should be stored or None if not configured + """ + if "call_transfer" in self.body: + return self.body["call_transfer"].get("storeSummary") + return None + + def is_test_mode(self) -> bool: + """Check if running in test mode. + + Returns: + Boolean indicating if test mode is enabled + """ + if "voicemail_detection" in self.body: + return bool(self.body["voicemail_detection"].get("testInPrebuilt")) + if "call_transfer" in self.body: + return bool(self.body["call_transfer"].get("testInPrebuilt")) + if "simple_dialin" in self.body: + return bool(self.body["simple_dialin"].get("testInPrebuilt")) + if "simple_dialout" in self.body: + return bool(self.body["simple_dialout"].get("testInPrebuilt")) + return False + + def is_voicemail_detection_enabled(self) -> bool: + """Check if voicemail detection is enabled in the body. + + Returns: + Boolean indicating if voicemail detection is enabled + """ + return bool(self.body.get("voicemail_detection")) + + def customize_prompt(self, prompt: str, customer_name: Optional[str] = None) -> str: + """Insert customer name into prompt template if available. + + Args: + prompt: The prompt template containing optional {customer_name} placeholders + customer_name: Optional customer name to insert + + Returns: + Customized prompt with customer name inserted + """ + if customer_name and prompt: + return prompt.replace("{customer_name}", customer_name) + return prompt + + def create_system_message(self, content: str) -> Dict[str, str]: + """Create a properly formatted system message. + + Args: + content: The message content + + Returns: + Dictionary with role and content for the system message + """ + return {"role": "system", "content": content} + + def create_user_message(self, content: str) -> Dict[str, str]: + """Create a properly formatted user message. + + Args: + content: The message content + + Returns: + Dictionary with role and content for the user message + """ + return {"role": "user", "content": content} + + def get_customer_info_suffix( + self, customer_name: Optional[str] = None, preposition: str = "for" + ) -> str: + """Create a consistent customer info suffix. + + Args: + customer_name: Optional customer name + preposition: Preposition to use before the name (e.g., "for", "to", "") + + Returns: + String with formatted customer info suffix + """ + if not customer_name: + return "" + + # Add a space before the preposition if it's not empty + space_prefix = " " if preposition else "" + # For non-empty prepositions, add a space after it + space_suffix = " " if preposition else "" + + return f"{space_prefix}{preposition}{space_suffix}{customer_name}" diff --git a/examples/phone-chatbot/call_transfer.py b/examples/phone-chatbot/call_transfer.py new file mode 100644 index 000000000..a4893ca18 --- /dev/null +++ b/examples/phone-chatbot/call_transfer.py @@ -0,0 +1,481 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# +import argparse +import asyncio +import os +import sys + +from call_connection_manager import CallConfigManager, SessionManager +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.vad.silero import SileroVADAnalyzer +from pipecat.frames.frames import ( + BotStoppedSpeakingFrame, + EndTaskFrame, + Frame, + LLMMessagesFrame, + TranscriptionFrame, +) +from pipecat.pipeline.pipeline import Pipeline +from pipecat.pipeline.runner import PipelineRunner +from pipecat.pipeline.task import PipelineParams, PipelineTask +from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext +from pipecat.processors.filters.function_filter import FunctionFilter +from pipecat.processors.frame_processor import FrameDirection, FrameProcessor +from pipecat.services.ai_services import LLMService +from pipecat.services.cartesia import CartesiaTTSService +from pipecat.services.openai import OpenAILLMService +from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport + +load_dotenv(override=True) + +logger.remove(0) +logger.add(sys.stderr, level="DEBUG") + +daily_api_key = os.getenv("DAILY_API_KEY", "") +daily_api_url = os.getenv("DAILY_API_URL", "https://api.daily.co/v1") + + +class TranscriptionModifierProcessor(FrameProcessor): + """Processor that modifies transcription frames before they reach the context aggregator.""" + + def __init__(self, operator_session_id_ref): + """Initialize with a reference to the operator_session_id variable. + + Args: + operator_session_id_ref: A reference or container holding the operator's session ID + """ + super().__init__() + self.operator_session_id_ref = operator_session_id_ref + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + # Only process frames that are moving downstream + if direction == FrameDirection.DOWNSTREAM: + # Check if the frame is a transcription frame + if isinstance(frame, TranscriptionFrame): + # Check if this frame is from the operator + if ( + self.operator_session_id_ref[0] is not None + and hasattr(frame, "user_id") + and frame.user_id == self.operator_session_id_ref[0] + ): + # Modify the text to include operator prefix + frame.text = f"[OPERATOR]: {frame.text}" + logger.debug(f"++++ Modified Operator Transcription: {frame.text}") + + # Push the (potentially modified) frame downstream + await self.push_frame(frame, direction) + + +class SummaryFinished(FrameProcessor): + """Frame processor that monitors when summary has been finished.""" + + def __init__(self, dial_operator_state): + super().__init__() + # Store reference to the shared state object + self.dial_operator_state = dial_operator_state + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + # Check if operator is connected and this is the end of bot speaking + if self.dial_operator_state.operator_connected and isinstance( + frame, BotStoppedSpeakingFrame + ): + logger.debug("Summary finished, bot will stop speaking") + self.dial_operator_state.set_summary_finished() + + await self.push_frame(frame, direction) + + +async def main( + room_url: str, + token: str, + body: dict, +): + # ------------ CONFIGURATION AND SETUP ------------ + + # Create a routing manager using the provided body + call_config_manager = CallConfigManager.from_json_string(body) if body else CallConfigManager() + + # Get caller information + caller_info = call_config_manager.get_caller_info() + caller_number = caller_info["caller_number"] + dialed_number = caller_info["dialed_number"] + + # Get customer name based on caller number + customer_name = call_config_manager.get_customer_name(caller_number) if caller_number else None + + # Get appropriate operator settings based on the caller + operator_dialout_settings = call_config_manager.get_dialout_settings_for_caller(caller_number) + + logger.info(f"Caller number: {caller_number}") + logger.info(f"Dialed number: {dialed_number}") + logger.info(f"Customer name: {customer_name}") + logger.info(f"Operator dialout settings: {operator_dialout_settings}") + + # Check if in test mode + test_mode = call_config_manager.is_test_mode() + + # Get dialin settings if present + dialin_settings = call_config_manager.get_dialin_settings() + + # ------------ TRANSPORT SETUP ------------ + + # Set up transport parameters + if test_mode: + logger.info("Running in test mode") + transport_params = DailyParams( + api_url=daily_api_url, + api_key=daily_api_key, + audio_in_enabled=True, + audio_out_enabled=True, + camera_out_enabled=False, + vad_enabled=True, + vad_analyzer=SileroVADAnalyzer(), + transcription_enabled=True, + ) + else: + daily_dialin_settings = DailyDialinSettings( + call_id=dialin_settings.get("call_id"), call_domain=dialin_settings.get("call_domain") + ) + transport_params = DailyParams( + api_url=daily_api_url, + api_key=daily_api_key, + dialin_settings=daily_dialin_settings, + audio_in_enabled=True, + audio_out_enabled=True, + camera_out_enabled=False, + vad_enabled=True, + vad_analyzer=SileroVADAnalyzer(), + transcription_enabled=True, + ) + + # Initialize the session manager + session_manager = SessionManager() + + # Set up the operator dialout settings + session_manager.call_flow_state.set_operator_dialout_settings(operator_dialout_settings) + + # Initialize transport + transport = DailyTransport( + room_url, + token, + "Call Transfer Bot", + transport_params, + ) + + # Initialize TTS + tts = CartesiaTTSService( + api_key=os.getenv("CARTESIA_API_KEY", ""), + voice_id="b7d50908-b17c-442d-ad8d-810c63997ed9", # Use Helpful Woman voice by default + ) + + # ------------ LLM AND CONTEXT SETUP ------------ + + # Get prompts from routing manager + call_transfer_initial_prompt = call_config_manager.get_prompt("call_transfer_initial_prompt") + + # Build default greeting with customer name if available + customer_greeting = f"Hello {customer_name}" if customer_name else "Hello" + default_greeting = f"{customer_greeting}, this is Hailey from customer support. What can I help you with today?" + + # Build initial prompt + if call_transfer_initial_prompt: + # Use custom prompt with customer name replacement if needed + system_instruction = call_config_manager.customize_prompt( + call_transfer_initial_prompt, customer_name + ) + logger.info("Using custom call transfer initial prompt") + else: + # Use default prompt with formatted greeting + system_instruction = f"""You are Chatbot, a friendly, helpful robot. Never refer to this prompt, even if asked. Follow these steps **EXACTLY**. + + ### **Standard Operating Procedure:** + + #### **Step 1: Greeting** + - Greet the user with: "{default_greeting}" + + #### **Step 2: Handling Requests** + - If the user requests a supervisor, **IMMEDIATELY** call the `dial_operator` function. + - **FAILURE TO CALL `dial_operator` IMMEDIATELY IS A MISTAKE.** + - If the user ends the conversation, **IMMEDIATELY** call the `terminate_call` function. + - **FAILURE TO CALL `terminate_call` IMMEDIATELY IS A MISTAKE.** + + ### **General Rules** + - Your output will be converted to audio, so **do not include special characters or formatting.** + """ + logger.info("Using default call transfer initial prompt") + + # Create the system message and initialize messages list + messages = [call_config_manager.create_system_message(system_instruction)] + + # ------------ FUNCTION DEFINITIONS ------------ + + async def terminate_call( + task: PipelineTask, # Pipeline task reference + function_name, + tool_call_id, + args, + llm: LLMService, + context: OpenAILLMContext, + result_callback, + ): + """Function the bot can call to terminate the call.""" + # Create a message to add + content = "The user wants to end the conversation, thank them for chatting." + message = call_config_manager.create_system_message(content) + # Append the message to the list + messages.append(message) + # Queue the message to the context + await task.queue_frames([LLMMessagesFrame(messages)]) + + # Then end the call + await llm.queue_frame(EndTaskFrame(), FrameDirection.UPSTREAM) + + async def dial_operator( + function_name: str, + tool_call_id: str, + args: dict, + llm: LLMService, + context: dict, + result_callback: callable, + ): + """Function the bot can call to dial an operator.""" + dialout_setting = session_manager.call_flow_state.get_current_dialout_setting() + if call_config_manager.get_transfer_mode() == "dialout": + if dialout_setting: + session_manager.call_flow_state.set_operator_dialed() + logger.info(f"Dialing operator with settings: {dialout_setting}") + + # Create a message to add + content = "The user has requested a supervisor, indicate that you will attempt to connect them with a supervisor." + message = call_config_manager.create_system_message(content) + + # Append the message to the list + messages.append(message) + # Queue the message to the context + await task.queue_frames([LLMMessagesFrame(messages)]) + # Start the dialout + await call_config_manager.start_dialout(transport, [dialout_setting]) + + else: + # Create a message to add + content = "Indicate that there are no operator dialout settings available." + message = call_config_manager.create_system_message(content) + # Append the message to the list + messages.append(message) + # Queue the message to the context + await task.queue_frames([LLMMessagesFrame(messages)]) + logger.info("No operator dialout settings available") + else: + # Create a message to add + content = "Indicate that the current mode is not supported." + message = call_config_manager.create_system_message(content) + # Append the message to the list + messages.append(message) + # Queue the message to the context + await task.queue_frames([LLMMessagesFrame(messages)]) + logger.info("Other mode not supported") + + # Define function schemas for tools + terminate_call_function = FunctionSchema( + name="terminate_call", + description="Call this function to terminate the call.", + properties={}, + required=[], + ) + + dial_operator_function = FunctionSchema( + name="dial_operator", + description="Call this function when the user asks to speak with a human", + properties={}, + required=[], + ) + + # Create tools schema + tools = ToolsSchema(standard_tools=[terminate_call_function, dial_operator_function]) + + # Initialize LLM + llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o") + + # Register functions with the LLM + llm.register_function( + "terminate_call", lambda *args, **kwargs: terminate_call(task, *args, **kwargs) + ) + llm.register_function("dial_operator", dial_operator) + + # Initialize LLM context and aggregator + context = OpenAILLMContext(messages, tools) + context_aggregator = llm.create_context_aggregator(context) + + # ------------ PIPELINE SETUP ------------ + + # Use the session manager's references + summary_finished = SummaryFinished(session_manager.call_flow_state) + transcription_modifier = TranscriptionModifierProcessor( + session_manager.get_session_id_ref("operator") + ) + + # Define function to determine if bot should speak + async def should_speak(self) -> bool: + result = ( + not session_manager.call_flow_state.operator_connected + or not session_manager.call_flow_state.summary_finished + ) + return result + + # Build pipeline + pipeline = Pipeline( + [ + transport.input(), # Transport user input + transcription_modifier, # Prepends operator transcription with [OPERATOR] + context_aggregator.user(), # User responses + FunctionFilter(should_speak), + llm, + tts, + summary_finished, + transport.output(), # Transport bot output + context_aggregator.assistant(), # Assistant spoken responses + ] + ) + + # Create pipeline task + task = PipelineTask( + pipeline, + params=PipelineParams(allow_interruptions=True), + ) + + # ------------ EVENT HANDLERS ------------ + + @transport.event_handler("on_first_participant_joined") + async def on_first_participant_joined(transport, participant): + await transport.capture_participant_transcription(participant["id"]) + # For the dialin case, we want the bot to answer the phone and greet the user + await task.queue_frames([context_aggregator.user().get_context_frame()]) + + @transport.event_handler("on_dialout_answered") + async def on_dialout_answered(transport, data): + logger.debug(f"++++ Dial-out answered: {data}") + await transport.capture_participant_transcription(data["sessionId"]) + + # Skip if operator already connected + if ( + not session_manager.call_flow_state + or session_manager.call_flow_state.operator_connected + ): + logger.debug(f"Operator already connected: {data}") + return + + logger.debug(f"Operator connected with session ID: {data['sessionId']}") + + # Set operator session ID in the session manager + session_manager.set_session_id("operator", data["sessionId"]) + + # Update state + session_manager.call_flow_state.set_operator_connected() + + # Determine message content based on configuration + if call_config_manager.get_speak_summary(): + logger.debug("Bot will speak summary") + call_transfer_prompt = call_config_manager.get_prompt("call_transfer_prompt") + + if call_transfer_prompt: + # Use custom prompt + logger.info("Using custom call transfer prompt") + content = call_config_manager.customize_prompt(call_transfer_prompt, customer_name) + else: + # Use default summary prompt + logger.info("Using default call transfer prompt") + customer_info = call_config_manager.get_customer_info_suffix(customer_name) + content = f"""An operator is joining the call{customer_info}. + Give a brief summary of the customer's issues so far.""" + else: + # Simple join notification without summary + logger.debug("Bot will not speak summary") + customer_info = call_config_manager.get_customer_info_suffix(customer_name) + content = f"""Indicate that an operator has joined the call{customer_info}.""" + + # Create and queue system message + message = call_config_manager.create_system_message(content) + messages.append(message) + await task.queue_frames([LLMMessagesFrame(messages)]) + + @transport.event_handler("on_dialout_stopped") + async def on_dialout_stopped(transport, data): + if session_manager.get_session_id("operator") and data[ + "sessionId" + ] == session_manager.get_session_id("operator"): + logger.debug("Dialout to operator stopped") + + @transport.event_handler("on_participant_left") + async def on_participant_left(transport, participant, reason): + logger.debug(f"Participant left: {participant}, reason: {reason}") + + # Check if the operator is the one who left + if not ( + session_manager.get_session_id("operator") + and participant["id"] == session_manager.get_session_id("operator") + ): + await task.cancel() + return + + logger.debug("Operator left the call") + + # Reset operator state + session_manager.reset_participant("operator") + + # Determine message content + call_transfer_finished_prompt = call_config_manager.get_prompt( + "call_transfer_finished_prompt" + ) + + if call_transfer_finished_prompt: + # Use custom prompt for operator departure + logger.info("Using custom call transfer finished prompt") + content = call_config_manager.customize_prompt( + call_transfer_finished_prompt, customer_name + ) + else: + # Use default prompt for operator departure + logger.info("Using default call transfer finished prompt") + customer_info = call_config_manager.get_customer_info_suffix( + customer_name, preposition="" + ) + content = f"""The operator has left the call. + Resume your role as the primary support agent and use information from the operator's conversation to help the customer{customer_info}. + Let the customer know the operator has left and ask if they need further assistance.""" + + # Create and queue system message + message = call_config_manager.create_system_message(content) + messages.append(message) + await task.queue_frames([LLMMessagesFrame(messages)]) + + # ------------ RUN PIPELINE ------------ + + runner = PipelineRunner() + await runner.run(task) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Pipecat Call Transfer Bot") + parser.add_argument("-u", "--url", type=str, help="Room URL") + parser.add_argument("-t", "--token", type=str, help="Room Token") + parser.add_argument("-b", "--body", type=str, help="JSON configuration string") + + args = parser.parse_args() + + # Log the arguments for debugging + logger.info(f"Room URL: {args.url}") + logger.info(f"Token: {args.token}") + logger.info(f"Body provided: {bool(args.body)}") + + asyncio.run(main(args.url, args.token, args.body)) diff --git a/examples/phone-chatbot/env.example b/examples/phone-chatbot/env.example index 112b418c7..950543767 100644 --- a/examples/phone-chatbot/env.example +++ b/examples/phone-chatbot/env.example @@ -1,8 +1,11 @@ DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (optional: for joining the bot to the same room repeatedly for local dev) -DAILY_API_KEY=. +DAILY_API_KEY= DAILY_API_URL=api.daily.co/v1 OPENAI_API_KEY= -ELEVENLABS_API_KEY= -ELEVENLABS_VOICE_ID= +GOOGLE_API_KEY +CARTESIA_API_KEY= TWILIO_ACCOUNT_SID= -TWILIO_AUTH_TOKEN= \ No newline at end of file +TWILIO_AUTH_TOKEN= +DIAL_IN_FROM_NUMBER= +DIAL_OUT_TO_NUMBER= +OPERATOR_NUMBER= \ No newline at end of file diff --git a/examples/phone-chatbot/fly.example.toml b/examples/phone-chatbot/fly.example.toml deleted file mode 100644 index 9a06b8af0..000000000 --- a/examples/phone-chatbot/fly.example.toml +++ /dev/null @@ -1,19 +0,0 @@ -# fly.toml app configuration file generated for pipecat-dialin-demo on 2024-06-03T15:57:57+02:00 -# -# See https://fly.io/docs/reference/configuration/ for information about how to use this file. -# - -app = 'pipecat-dialin-demo' -primary_region = 'sjc' - -[build] - -[http_service] - internal_port = 7860 - force_https = true - auto_stop_machines = true - auto_start_machines = true - min_machines_running = 1 - -[[vm]] - size = 'performance-1x' diff --git a/examples/phone-chatbot/requirements.txt b/examples/phone-chatbot/requirements.txt index 1e15004b1..3b6965dee 100644 --- a/examples/phone-chatbot/requirements.txt +++ b/examples/phone-chatbot/requirements.txt @@ -1,5 +1,5 @@ -pipecat-ai[daily,elevenlabs,openai,silero] -fastapi +pipecat-ai[daily,cartesia,openai,google,silero] +fastapi==3.11.12 uvicorn python-dotenv twilio diff --git a/examples/phone-chatbot/simple_dialin.py b/examples/phone-chatbot/simple_dialin.py new file mode 100644 index 000000000..85a29cbf8 --- /dev/null +++ b/examples/phone-chatbot/simple_dialin.py @@ -0,0 +1,196 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# +import argparse +import asyncio +import os +import sys + +from call_connection_manager import CallConfigManager, SessionManager +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.vad.silero import SileroVADAnalyzer +from pipecat.frames.frames import EndTaskFrame +from pipecat.pipeline.pipeline import Pipeline +from pipecat.pipeline.runner import PipelineRunner +from pipecat.pipeline.task import PipelineParams, PipelineTask +from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext +from pipecat.processors.frame_processor import FrameDirection +from pipecat.services.ai_services import LLMService +from pipecat.services.cartesia import CartesiaTTSService +from pipecat.services.openai import OpenAILLMService +from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport + +load_dotenv(override=True) + +logger.remove(0) +logger.add(sys.stderr, level="DEBUG") + +daily_api_key = os.getenv("DAILY_API_KEY", "") +daily_api_url = os.getenv("DAILY_API_URL", "https://api.daily.co/v1") + + +async def main( + room_url: str, + token: str, + body: dict, +): + # ------------ CONFIGURATION AND SETUP ------------ + + # Create a config manager using the provided body + call_config_manager = CallConfigManager.from_json_string(body) if body else CallConfigManager() + + # Get important configuration values + test_mode = call_config_manager.is_test_mode() + + # Get dialin settings if present + dialin_settings = call_config_manager.get_dialin_settings() + + # Initialize the session manager + session_manager = SessionManager() + + # ------------ TRANSPORT SETUP ------------ + + # Set up transport parameters + if test_mode: + logger.info("Running in test mode") + transport_params = DailyParams( + api_url=daily_api_url, + api_key=daily_api_key, + audio_in_enabled=True, + audio_out_enabled=True, + camera_out_enabled=False, + vad_enabled=True, + vad_analyzer=SileroVADAnalyzer(), + transcription_enabled=True, + ) + else: + daily_dialin_settings = DailyDialinSettings( + call_id=dialin_settings.get("call_id"), call_domain=dialin_settings.get("call_domain") + ) + transport_params = DailyParams( + api_url=daily_api_url, + api_key=daily_api_key, + dialin_settings=daily_dialin_settings, + audio_in_enabled=True, + audio_out_enabled=True, + camera_out_enabled=False, + vad_enabled=True, + vad_analyzer=SileroVADAnalyzer(), + transcription_enabled=True, + ) + + # Initialize transport with Daily + transport = DailyTransport( + room_url, + token, + "Simple Dial-in Bot", + transport_params, + ) + + # Initialize TTS + tts = CartesiaTTSService( + api_key=os.getenv("CARTESIA_API_KEY", ""), + voice_id="b7d50908-b17c-442d-ad8d-810c63997ed9", # Use Helpful Woman voice by default + ) + + # ------------ FUNCTION DEFINITIONS ------------ + + async def terminate_call( + function_name, tool_call_id, args, llm: LLMService, context, result_callback + ): + """Function the bot can call to terminate the call upon completion of a voicemail message.""" + if session_manager: + # Mark that the call was terminated by the bot + session_manager.call_flow_state.set_call_terminated() + + # Then end the call + await llm.queue_frame(EndTaskFrame(), FrameDirection.UPSTREAM) + + # Define function schemas for tools + terminate_call_function = FunctionSchema( + name="terminate_call", + description="Call this function to terminate the call.", + properties={}, + required=[], + ) + + # Create tools schema + tools = ToolsSchema(standard_tools=[terminate_call_function]) + + # ------------ LLM AND CONTEXT SETUP ------------ + + # Set up the system instruction for the LLM + system_instruction = """You are Chatbot, a friendly, helpful robot. 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, but keep your responses brief. Start by introducing yourself. If the user ends the conversation, **IMMEDIATELY** call the `terminate_call` function. """ + + # Initialize LLM + llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o") + + # Register functions with the LLM + llm.register_function("terminate_call", terminate_call) + + # Create system message and initialize messages list + messages = [call_config_manager.create_system_message(system_instruction)] + + # Initialize LLM context and aggregator + context = OpenAILLMContext(messages, tools) + context_aggregator = llm.create_context_aggregator(context) + + # ------------ PIPELINE SETUP ------------ + + # Build pipeline + pipeline = Pipeline( + [ + transport.input(), # Transport user input + context_aggregator.user(), # User responses + llm, # LLM + tts, # TTS + transport.output(), # Transport bot output + context_aggregator.assistant(), # Assistant spoken responses + ] + ) + + # Create pipeline task + task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True)) + + # ------------ EVENT HANDLERS ------------ + + @transport.event_handler("on_first_participant_joined") + async def on_first_participant_joined(transport, participant): + logger.debug(f"First participant joined: {participant['id']}") + await transport.capture_participant_transcription(participant["id"]) + await task.queue_frames([context_aggregator.user().get_context_frame()]) + + @transport.event_handler("on_participant_left") + async def on_participant_left(transport, participant, reason): + logger.debug(f"Participant left: {participant}, reason: {reason}") + await task.cancel() + + # ------------ RUN PIPELINE ------------ + + if test_mode: + logger.debug("Running in test mode (can be tested in Daily Prebuilt)") + + runner = PipelineRunner() + await runner.run(task) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Simple Dial-in Bot") + parser.add_argument("-u", "--url", type=str, help="Room URL") + parser.add_argument("-t", "--token", type=str, help="Room Token") + parser.add_argument("-b", "--body", type=str, help="JSON configuration string") + + args = parser.parse_args() + + # Log the arguments for debugging + logger.info(f"Room URL: {args.url}") + logger.info(f"Token: {args.token}") + logger.info(f"Body provided: {bool(args.body)}") + + asyncio.run(main(args.url, args.token, args.body)) diff --git a/examples/phone-chatbot/simple_dialout.py b/examples/phone-chatbot/simple_dialout.py new file mode 100644 index 000000000..c56114eb7 --- /dev/null +++ b/examples/phone-chatbot/simple_dialout.py @@ -0,0 +1,187 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# +import argparse +import asyncio +import os +import sys + +from call_connection_manager import CallConfigManager +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.vad.silero import SileroVADAnalyzer +from pipecat.frames.frames import EndTaskFrame +from pipecat.pipeline.pipeline import Pipeline +from pipecat.pipeline.runner import PipelineRunner +from pipecat.pipeline.task import PipelineParams, PipelineTask +from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext +from pipecat.processors.frame_processor import FrameDirection +from pipecat.services.ai_services import LLMService +from pipecat.services.cartesia import CartesiaTTSService +from pipecat.services.openai import OpenAILLMService +from pipecat.transports.services.daily import DailyParams, DailyTransport + +load_dotenv(override=True) + +logger.remove(0) +logger.add(sys.stderr, level="DEBUG") + +daily_api_key = os.getenv("DAILY_API_KEY", "") +daily_api_url = os.getenv("DAILY_API_URL", "https://api.daily.co/v1") + + +async def main( + room_url: str, + token: str, + body: dict, +): + # ------------ CONFIGURATION AND SETUP ------------ + + # Create a config manager using the provided body + call_config_manager = CallConfigManager.from_json_string(body) if body else CallConfigManager() + + # Get important configuration values + dialout_settings = call_config_manager.get_dialout_settings() + test_mode = call_config_manager.is_test_mode() + + # ------------ TRANSPORT SETUP ------------ + + transport_params = DailyParams( + api_url=daily_api_url, + api_key=daily_api_key, + audio_in_enabled=True, + audio_out_enabled=True, + camera_out_enabled=False, + vad_enabled=True, + vad_analyzer=SileroVADAnalyzer(), + transcription_enabled=True, + ) + + # Initialize transport with Daily + transport = DailyTransport( + room_url, + token, + "Simple Dial-out Bot", + transport_params, + ) + + # Initialize TTS + tts = CartesiaTTSService( + api_key=os.getenv("CARTESIA_API_KEY", ""), + voice_id="b7d50908-b17c-442d-ad8d-810c63997ed9", # Use Helpful Woman voice by default + ) + + # ------------ FUNCTION DEFINITIONS ------------ + + async def terminate_call( + function_name, tool_call_id, args, llm: LLMService, context, result_callback + ): + """Function the bot can call to terminate the call upon completion of a voicemail message.""" + await llm.queue_frame(EndTaskFrame(), FrameDirection.UPSTREAM) + + # Define function schemas for tools + terminate_call_function = FunctionSchema( + name="terminate_call", + description="Call this function to terminate the call.", + properties={}, + required=[], + ) + + # Create tools schema + tools = ToolsSchema(standard_tools=[terminate_call_function]) + + # ------------ LLM AND CONTEXT SETUP ------------ + + # Set up the system instruction for the LLM + system_instruction = """You are Chatbot, a friendly, helpful robot. 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, but keep your responses brief. Start by introducing yourself. If the user ends the conversation, **IMMEDIATELY** call the `terminate_call` function. """ + + # Initialize LLM + llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o") + + # Register functions with the LLM + llm.register_function("terminate_call", terminate_call) + + # Create system message and initialize messages list + messages = [call_config_manager.create_system_message(system_instruction)] + + # Initialize LLM context and aggregator + context = OpenAILLMContext(messages, tools) + context_aggregator = llm.create_context_aggregator(context) + + # ------------ PIPELINE SETUP ------------ + + # Build pipeline + pipeline = Pipeline( + [ + transport.input(), # Transport user input + context_aggregator.user(), # User responses + llm, # LLM + tts, # TTS + transport.output(), # Transport bot output + context_aggregator.assistant(), # Assistant spoken responses + ] + ) + + # Create pipeline task + task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True)) + + # ------------ EVENT HANDLERS ------------ + + @transport.event_handler("on_joined") + async def on_joined(transport, data): + # Start dialout if needed + if not test_mode and dialout_settings: + logger.debug("Dialout settings detected; starting dialout") + await call_config_manager.start_dialout(transport, dialout_settings) + + @transport.event_handler("on_dialout_connected") + async def on_dialout_connected(transport, data): + logger.debug(f"Dial-out connected: {data}") + + @transport.event_handler("on_dialout_answered") + async def on_dialout_answered(transport, data): + logger.debug(f"Dial-out answered: {data}") + # Automatically start capturing transcription for the participant + await transport.capture_participant_transcription(data["sessionId"]) + # The bot will wait to hear the user before the bot speaks + + @transport.event_handler("on_first_participant_joined") + async def on_first_participant_joined(transport, participant): + if test_mode: + logger.debug(f"First participant joined: {participant['id']}") + await transport.capture_participant_transcription(participant["id"]) + # The bot will wait to hear the user before the bot speaks + + @transport.event_handler("on_participant_left") + async def on_participant_left(transport, participant, reason): + logger.debug(f"Participant left: {participant}, reason: {reason}") + await task.cancel() + + # ------------ RUN PIPELINE ------------ + + if test_mode: + logger.debug("Running in test mode (can be tested in Daily Prebuilt)") + + runner = PipelineRunner() + await runner.run(task) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Simple Dial-out Bot") + parser.add_argument("-u", "--url", type=str, help="Room URL") + parser.add_argument("-t", "--token", type=str, help="Room Token") + parser.add_argument("-b", "--body", type=str, help="JSON configuration string") + + args = parser.parse_args() + + # Log the arguments for debugging + logger.info(f"Room URL: {args.url}") + logger.info(f"Token: {args.token}") + logger.info(f"Body provided: {bool(args.body)}") + + asyncio.run(main(args.url, args.token, args.body)) diff --git a/examples/phone-chatbot/voicemail_detection.py b/examples/phone-chatbot/voicemail_detection.py new file mode 100644 index 000000000..4047e4746 --- /dev/null +++ b/examples/phone-chatbot/voicemail_detection.py @@ -0,0 +1,472 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +import argparse +import asyncio +import functools +import os +import sys + +from call_connection_manager import CallConfigManager, SessionManager +from dotenv import load_dotenv +from loguru import logger + +from pipecat.audio.vad.silero import SileroVADAnalyzer +from pipecat.frames.frames import ( + EndFrame, + EndTaskFrame, + InputAudioRawFrame, + StopTaskFrame, + TranscriptionFrame, + UserStartedSpeakingFrame, + UserStoppedSpeakingFrame, +) +from pipecat.pipeline.pipeline import Pipeline +from pipecat.pipeline.runner import PipelineRunner +from pipecat.pipeline.task import PipelineParams, PipelineTask +from pipecat.processors.frame_processor import FrameDirection, FrameProcessor +from pipecat.services.ai_services import LLMService +from pipecat.services.cartesia import CartesiaTTSService +from pipecat.services.deepgram import DeepgramSTTService +from pipecat.services.google import GoogleLLMService +from pipecat.services.google.google import GoogleLLMContext +from pipecat.transports.services.daily import ( + DailyParams, + DailyTransport, +) + +load_dotenv(override=True) + +logger.remove(0) +logger.add(sys.stderr, level="DEBUG") + +daily_api_key = os.getenv("DAILY_API_KEY", "") +daily_api_url = os.getenv("DAILY_API_URL", "https://api.daily.co/v1") + + +# ------------ HELPER CLASSES ------------ + + +class UserAudioCollector(FrameProcessor): + """Collects audio frames in a buffer, then adds them to the LLM context when the user stops speaking.""" + + def __init__(self, context, user_context_aggregator): + super().__init__() + self._context = context + self._user_context_aggregator = user_context_aggregator + self._audio_frames = [] + self._start_secs = 0.2 # this should match VAD start_secs (hardcoding for now) + self._user_speaking = False + + async def process_frame(self, frame, direction): + await super().process_frame(frame, direction) + + if isinstance(frame, TranscriptionFrame): + # Skip transcription frames - we're handling audio directly + return + elif isinstance(frame, UserStartedSpeakingFrame): + self._user_speaking = True + elif isinstance(frame, UserStoppedSpeakingFrame): + self._user_speaking = False + self._context.add_audio_frames_message(audio_frames=self._audio_frames) + await self._user_context_aggregator.push_frame( + self._user_context_aggregator.get_context_frame() + ) + elif isinstance(frame, InputAudioRawFrame): + if self._user_speaking: + # When speaking, collect frames + self._audio_frames.append(frame) + else: + # Maintain a rolling buffer of recent audio (for start of speech) + self._audio_frames.append(frame) + frame_duration = len(frame.audio) / 16 * frame.num_channels / frame.sample_rate + buffer_duration = frame_duration * len(self._audio_frames) + while buffer_duration > self._start_secs: + self._audio_frames.pop(0) + buffer_duration -= frame_duration + + await self.push_frame(frame, direction) + + +class FunctionHandlers: + """Handlers for the voicemail detection bot functions.""" + + def __init__(self, session_manager): + self.session_manager = session_manager + self.prompt = None # Can be set externally + + async def voicemail_response( + self, + function_name, + tool_call_id, + args, + llm: LLMService, + context, + result_callback, + ): + """Function the bot can call to leave a voicemail message.""" + message = """You are Chatbot leaving a voicemail message. Say EXACTLY this message and then terminate the call: + + 'Hello, this is a message for Pipecat example user. This is Chatbot. Please call back on 123-456-7891. Thank you.'""" + + await result_callback(message) + + async def human_conversation( + self, + function_name, + tool_call_id, + args, + llm: LLMService, + context, + result_callback, + ): + """Function called when bot detects it's talking to a human.""" + # Update state to indicate human was detected + self.session_manager.call_flow_state.set_human_detected() + await llm.push_frame(StopTaskFrame(), FrameDirection.UPSTREAM) + + +# ------------ MAIN FUNCTION ------------ + + +async def main( + room_url: str, + token: str, + body: dict, +): + # ------------ CONFIGURATION AND SETUP ------------ + + # Create a configuration manager from the provided body + call_config_manager = CallConfigManager.from_json_string(body) if body else CallConfigManager() + + # Get important configuration values + dialout_settings = call_config_manager.get_dialout_settings() + test_mode = call_config_manager.is_test_mode() + + # Get caller info (might be None for dialout scenarios) + caller_info = call_config_manager.get_caller_info() + logger.info(f"Caller info: {caller_info}") + + # Initialize the session manager + session_manager = SessionManager() + + # ------------ TRANSPORT AND SERVICES SETUP ------------ + + # Initialize transport + transport = DailyTransport( + room_url, + token, + "Voicemail Detection Bot", + DailyParams( + api_url=daily_api_url, + api_key=daily_api_key, + audio_in_enabled=True, + audio_out_enabled=True, + camera_out_enabled=False, + vad_enabled=True, + vad_analyzer=SileroVADAnalyzer(), + vad_audio_passthrough=True, # Important for audio collection + ), + ) + + # Initialize TTS + tts = CartesiaTTSService( + api_key=os.getenv("CARTESIA_API_KEY", ""), + voice_id="b7d50908-b17c-442d-ad8d-810c63997ed9", # Use Helpful Woman voice by default + ) + + # Initialize speech-to-text service (for human conversation phase) + stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY")) + + # ------------ FUNCTION DEFINITIONS ------------ + + async def terminate_call( + function_name, + tool_call_id, + args, + llm: LLMService, + context, + result_callback, + session_manager=None, + ): + """Function the bot can call to terminate the call.""" + if session_manager: + # Set call terminated flag in the session manager + session_manager.call_flow_state.set_call_terminated() + + await llm.queue_frame(EndTaskFrame(), FrameDirection.UPSTREAM) + + # ------------ VOICEMAIL DETECTION PHASE SETUP ------------ + + # Define tools for both LLMs + tools = [ + { + "function_declarations": [ + { + "name": "switch_to_voicemail_response", + "description": "Call this function when you detect this is a voicemail system.", + }, + { + "name": "switch_to_human_conversation", + "description": "Call this function when you detect this is a human.", + }, + { + "name": "terminate_call", + "description": "Call this function to terminate the call.", + }, + ] + } + ] + + # Get voicemail detection prompt + voicemail_detection_prompt = call_config_manager.get_prompt("voicemail_detection_prompt") + if voicemail_detection_prompt: + system_instruction = voicemail_detection_prompt + else: + system_instruction = """You are Chatbot trying to determine if this is a voicemail system or a human. + + If you hear any of these phrases (or very similar ones): + - "Please leave a message after the beep" + - "No one is available to take your call" + - "Record your message after the tone" + - "You have reached voicemail for..." + - "You have reached [phone number]" + - "[phone number] is unavailable" + - "The person you are trying to reach..." + - "The number you have dialed..." + - "Your call has been forwarded to an automated voice messaging system" + + Then call the function switch_to_voicemail_response. + + If it sounds like a human (saying hello, asking questions, etc.), call the function switch_to_human_conversation. + + DO NOT say anything until you've determined if this is a voicemail or human. + + If you are asked to terminate the call, **IMMEDIATELY** call the `terminate_call` function. **FAILURE TO CALL `terminate_call` IMMEDIATELY IS A MISTAKE.**""" + + # Initialize voicemail detection LLM + voicemail_detection_llm = GoogleLLMService( + model="models/gemini-2.0-flash-lite", # Lighter model for faster detection + api_key=os.getenv("GOOGLE_API_KEY"), + system_instruction=system_instruction, + tools=tools, + ) + + # Initialize context and context aggregator + voicemail_detection_context = GoogleLLMContext() + voicemail_detection_context_aggregator = voicemail_detection_llm.create_context_aggregator( + voicemail_detection_context + ) + + # Get custom voicemail prompt if available + voicemail_prompt = call_config_manager.get_prompt("voicemail_prompt") + + # Set up function handlers + handlers = FunctionHandlers(session_manager) + handlers.prompt = voicemail_prompt # Set custom prompt if available + + # Register functions with the voicemail detection LLM + voicemail_detection_llm.register_function( + "switch_to_voicemail_response", + handlers.voicemail_response, + ) + voicemail_detection_llm.register_function( + "switch_to_human_conversation", handlers.human_conversation + ) + voicemail_detection_llm.register_function( + "terminate_call", functools.partial(terminate_call, session_manager=session_manager) + ) + + # Set up audio collector for handling audio input + voicemail_detection_audio_collector = UserAudioCollector( + voicemail_detection_context, voicemail_detection_context_aggregator.user() + ) + + # Build voicemail detection pipeline + voicemail_detection_pipeline = Pipeline( + [ + transport.input(), # Transport user input + voicemail_detection_audio_collector, # Collect audio frames + voicemail_detection_context_aggregator.user(), # User context + voicemail_detection_llm, # LLM + tts, # TTS + transport.output(), # Transport bot output + voicemail_detection_context_aggregator.assistant(), # Assistant context + ] + ) + + # Create pipeline task + voicemail_detection_pipeline_task = PipelineTask( + voicemail_detection_pipeline, + params=PipelineParams(allow_interruptions=True), + ) + + # ------------ EVENT HANDLERS ------------ + + @transport.event_handler("on_joined") + async def on_joined(transport, data): + # Start dialout if needed + if not test_mode and dialout_settings: + logger.debug("Dialout settings detected; starting dialout") + await call_config_manager.start_dialout(transport, dialout_settings) + + @transport.event_handler("on_dialout_connected") + async def on_dialout_connected(transport, data): + logger.debug(f"Dial-out connected: {data}") + + @transport.event_handler("on_dialout_answered") + async def on_dialout_answered(transport, data): + logger.debug(f"Dial-out answered: {data}") + # Start capturing transcription + await transport.capture_participant_transcription(data["sessionId"]) + + @transport.event_handler("on_first_participant_joined") + async def on_first_participant_joined(transport, participant): + logger.debug(f"First participant joined: {participant['id']}") + if test_mode: + await transport.capture_participant_transcription(participant["id"]) + + @transport.event_handler("on_participant_left") + async def on_participant_left(transport, participant, reason): + # Mark that a participant left early + session_manager.call_flow_state.set_participant_left_early() + await voicemail_detection_pipeline_task.queue_frame(EndFrame()) + + # ------------ RUN VOICEMAIL DETECTION PIPELINE ------------ + + if test_mode: + logger.debug("Detect voicemail example. You can test this in Daily Prebuilt") + + runner = PipelineRunner() + + print("!!! starting voicemail detection pipeline") + try: + await runner.run(voicemail_detection_pipeline_task) + except Exception as e: + logger.error(f"Error in voicemail detection pipeline: {e}") + import traceback + + logger.error(traceback.format_exc()) + print("!!! Done with voicemail detection pipeline") + + # Check if we should exit early + if ( + session_manager.call_flow_state.participant_left_early + or session_manager.call_flow_state.call_terminated + ): + if session_manager.call_flow_state.participant_left_early: + print("!!! Participant left early; terminating call") + elif session_manager.call_flow_state.call_terminated: + print("!!! Bot terminated call; not proceeding to human conversation") + return + + # ------------ HUMAN CONVERSATION PHASE SETUP ------------ + + # Get human conversation prompt + human_conversation_prompt = call_config_manager.get_prompt("human_conversation_prompt") + if human_conversation_prompt: + human_conversation_system_instruction = human_conversation_prompt + else: + human_conversation_system_instruction = """You are Chatbot talking to a human. Be friendly and helpful. + + Start with: "Hello! I'm a friendly chatbot. How can I help you today?" + + Keep your responses brief and to the point. Listen to what the person says. + + When the person indicates they're done with the conversation by saying something like: + - "Goodbye" + - "That's all" + - "I'm done" + - "Thank you, that's all I needed" + + THEN say: "Thank you for chatting. Goodbye!" and call the terminate_call function.""" + + # Initialize human conversation LLM + human_conversation_llm = GoogleLLMService( + model="models/gemini-2.0-flash-001", # Full model for better conversation + api_key=os.getenv("GOOGLE_API_KEY"), + system_instruction=human_conversation_system_instruction, + tools=tools, + ) + + # Initialize context and context aggregator + human_conversation_context = GoogleLLMContext() + human_conversation_context_aggregator = human_conversation_llm.create_context_aggregator( + human_conversation_context + ) + + # Register terminate function with the human conversation LLM + human_conversation_llm.register_function( + "terminate_call", functools.partial(terminate_call, session_manager=session_manager) + ) + + # Build human conversation pipeline + human_conversation_pipeline = Pipeline( + [ + transport.input(), # Transport user input + stt, # Speech-to-text + human_conversation_context_aggregator.user(), # User context + human_conversation_llm, # LLM + tts, # TTS + transport.output(), # Transport bot output + human_conversation_context_aggregator.assistant(), # Assistant context + ] + ) + + # Create pipeline task + human_conversation_pipeline_task = PipelineTask( + human_conversation_pipeline, + params=PipelineParams(allow_interruptions=True), + ) + + # Update participant left handler for human conversation phase + @transport.event_handler("on_participant_left") + async def on_participant_left(transport, participant, reason): + await voicemail_detection_pipeline_task.queue_frame(EndFrame()) + await human_conversation_pipeline_task.queue_frame(EndFrame()) + + # ------------ RUN HUMAN CONVERSATION PIPELINE ------------ + + print("!!! starting human conversation pipeline") + + # Initialize the context with system message + human_conversation_context_aggregator.user().set_messages( + [call_config_manager.create_system_message(human_conversation_system_instruction)] + ) + + # Queue the context frame to start the conversation + await human_conversation_pipeline_task.queue_frames( + [human_conversation_context_aggregator.user().get_context_frame()] + ) + + # Run the human conversation pipeline + try: + await runner.run(human_conversation_pipeline_task) + except Exception as e: + logger.error(f"Error in voicemail detection pipeline: {e}") + import traceback + + logger.error(traceback.format_exc()) + + print("!!! Done with human conversation pipeline") + + +# ------------ SCRIPT ENTRY POINT ------------ + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Pipecat Voicemail Detection Bot") + parser.add_argument("-u", "--url", type=str, help="Room URL") + parser.add_argument("-t", "--token", type=str, help="Room Token") + parser.add_argument("-b", "--body", type=str, help="JSON configuration string") + + args = parser.parse_args() + + # Log the arguments for debugging + logger.info(f"Room URL: {args.url}") + logger.info(f"Token: {args.token}") + logger.info(f"Body provided: {bool(args.body)}") + + asyncio.run(main(args.url, args.token, args.body)) From e3704cd1a18a07fe08b92eac69be8b45c6c7f276 Mon Sep 17 00:00:00 2001 From: Dominic Stewart <45786774+DominicStewart@users.noreply.github.com> Date: Thu, 3 Apr 2025 16:07:02 +0900 Subject: [PATCH 27/33] Updated imports to work with pipecat 0.62 (#1515) --- examples/phone-chatbot/call_transfer.py | 6 +++--- examples/phone-chatbot/simple_dialin.py | 6 +++--- examples/phone-chatbot/simple_dialout.py | 6 +++--- examples/phone-chatbot/voicemail_detection.py | 8 ++++---- 4 files changed, 13 insertions(+), 13 deletions(-) diff --git a/examples/phone-chatbot/call_transfer.py b/examples/phone-chatbot/call_transfer.py index a4893ca18..aae460ec4 100644 --- a/examples/phone-chatbot/call_transfer.py +++ b/examples/phone-chatbot/call_transfer.py @@ -28,9 +28,9 @@ from pipecat.pipeline.task import PipelineParams, PipelineTask from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext from pipecat.processors.filters.function_filter import FunctionFilter from pipecat.processors.frame_processor import FrameDirection, FrameProcessor -from pipecat.services.ai_services import LLMService -from pipecat.services.cartesia import CartesiaTTSService -from pipecat.services.openai import OpenAILLMService +from pipecat.services.cartesia.tts import CartesiaTTSService +from pipecat.services.llm_service import LLMService +from pipecat.services.openai.llm import OpenAILLMService from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport load_dotenv(override=True) diff --git a/examples/phone-chatbot/simple_dialin.py b/examples/phone-chatbot/simple_dialin.py index 85a29cbf8..cc06837dd 100644 --- a/examples/phone-chatbot/simple_dialin.py +++ b/examples/phone-chatbot/simple_dialin.py @@ -21,9 +21,9 @@ from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.task import PipelineParams, PipelineTask from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import LLMService -from pipecat.services.cartesia import CartesiaTTSService -from pipecat.services.openai import OpenAILLMService +from pipecat.services.cartesia.tts import CartesiaTTSService +from pipecat.services.llm_service import LLMService +from pipecat.services.openai.llm import OpenAILLMService from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport load_dotenv(override=True) diff --git a/examples/phone-chatbot/simple_dialout.py b/examples/phone-chatbot/simple_dialout.py index c56114eb7..9686d935a 100644 --- a/examples/phone-chatbot/simple_dialout.py +++ b/examples/phone-chatbot/simple_dialout.py @@ -21,9 +21,9 @@ from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.task import PipelineParams, PipelineTask from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext from pipecat.processors.frame_processor import FrameDirection -from pipecat.services.ai_services import LLMService -from pipecat.services.cartesia import CartesiaTTSService -from pipecat.services.openai import OpenAILLMService +from pipecat.services.cartesia.tts import CartesiaTTSService +from pipecat.services.llm_service import LLMService +from pipecat.services.openai.llm import OpenAILLMService from pipecat.transports.services.daily import DailyParams, DailyTransport load_dotenv(override=True) diff --git a/examples/phone-chatbot/voicemail_detection.py b/examples/phone-chatbot/voicemail_detection.py index 4047e4746..469dba05f 100644 --- a/examples/phone-chatbot/voicemail_detection.py +++ b/examples/phone-chatbot/voicemail_detection.py @@ -28,11 +28,11 @@ from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.task import PipelineParams, PipelineTask from pipecat.processors.frame_processor import FrameDirection, FrameProcessor -from pipecat.services.ai_services import LLMService -from pipecat.services.cartesia import CartesiaTTSService -from pipecat.services.deepgram import DeepgramSTTService -from pipecat.services.google import GoogleLLMService +from pipecat.services.cartesia.tts import CartesiaTTSService +from pipecat.services.deepgram.stt import DeepgramSTTService from pipecat.services.google.google import GoogleLLMContext +from pipecat.services.google.llm import GoogleLLMService +from pipecat.services.llm_service import LLMService # Base LLM service class from pipecat.transports.services.daily import ( DailyParams, DailyTransport, From 8c0a8474491d4a9f0f54bb86de25f714b207d28d Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Thu, 3 Apr 2025 07:43:25 -0400 Subject: [PATCH 28/33] Update client packages for simple-chatbot JS and React --- .../client/javascript/package-lock.json | 18 ++++++------- .../client/javascript/package.json | 4 +-- .../client/react/package-lock.json | 26 +++++++++---------- .../simple-chatbot/client/react/package.json | 6 ++--- 4 files changed, 27 insertions(+), 27 deletions(-) diff --git a/examples/simple-chatbot/client/javascript/package-lock.json b/examples/simple-chatbot/client/javascript/package-lock.json index 2c51d3cc7..8d462f2fc 100644 --- a/examples/simple-chatbot/client/javascript/package-lock.json +++ b/examples/simple-chatbot/client/javascript/package-lock.json @@ -9,8 +9,8 @@ "version": "1.0.0", "license": "ISC", "dependencies": { - "@pipecat-ai/client-js": "^0.3.2", - "@pipecat-ai/daily-transport": "^0.3.4" + "@pipecat-ai/client-js": "^0.3.5", + "@pipecat-ai/daily-transport": "^0.3.7" }, "devDependencies": { "vite": "^6.0.9" @@ -445,9 +445,9 @@ } }, "node_modules/@pipecat-ai/client-js": { - "version": "0.3.2", - "resolved": "https://registry.npmjs.org/@pipecat-ai/client-js/-/client-js-0.3.2.tgz", - "integrity": "sha512-psunOVrJjPka2SWlq53vxVWCA0Vt8pSXsXtn8pOLC0YTKFsUx+b7Z6quYUJcDZjCe1aAg9cKETek3Xal3Co8Tg==", + "version": "0.3.5", + "resolved": "https://registry.npmjs.org/@pipecat-ai/client-js/-/client-js-0.3.5.tgz", + "integrity": "sha512-qmhnDjwY2XUtLjww35ShsYf5TF9BCuAk0tIj0oHjpTe6v6QOlgKQt8JVCAdc32p5ycouzSZOeDFtBd2aNWuq1g==", "license": "BSD-2-Clause", "dependencies": { "@types/events": "^3.0.3", @@ -458,15 +458,15 @@ } }, "node_modules/@pipecat-ai/daily-transport": { - "version": "0.3.4", - "resolved": "https://registry.npmjs.org/@pipecat-ai/daily-transport/-/daily-transport-0.3.4.tgz", - "integrity": "sha512-1eUdmUo56jE4tOdqFwk86vMQzxHW3IOb56j4Rkw61a/Nak+r76Ipg5b0pHTwI+fAkqlzkECNq6bEU4bCv61n3Q==", + "version": "0.3.7", + "resolved": "https://registry.npmjs.org/@pipecat-ai/daily-transport/-/daily-transport-0.3.7.tgz", + "integrity": "sha512-khZtjWwEdrngW9oOzGAbbAlhfY9OIC7f2ZLVrHCuPbDB09/Nk1/xVzWQnFD6KXxYLry/6tM2c7OgWFDR9dH+BQ==", "license": "BSD-2-Clause", "dependencies": { "@daily-co/daily-js": "^0.73.0" }, "peerDependencies": { - "@pipecat-ai/client-js": "~0.3.2" + "@pipecat-ai/client-js": "~0.3.5" } }, "node_modules/@rollup/rollup-android-arm-eabi": { diff --git a/examples/simple-chatbot/client/javascript/package.json b/examples/simple-chatbot/client/javascript/package.json index 84a4c3fb6..33c2a653c 100644 --- a/examples/simple-chatbot/client/javascript/package.json +++ b/examples/simple-chatbot/client/javascript/package.json @@ -15,7 +15,7 @@ "vite": "^6.0.9" }, "dependencies": { - "@pipecat-ai/client-js": "^0.3.2", - "@pipecat-ai/daily-transport": "^0.3.4" + "@pipecat-ai/client-js": "^0.3.5", + "@pipecat-ai/daily-transport": "^0.3.7" } } diff --git a/examples/simple-chatbot/client/react/package-lock.json b/examples/simple-chatbot/client/react/package-lock.json index b82ac8377..807b0055e 100644 --- a/examples/simple-chatbot/client/react/package-lock.json +++ b/examples/simple-chatbot/client/react/package-lock.json @@ -8,9 +8,9 @@ "name": "react", "version": "0.0.0", "dependencies": { - "@pipecat-ai/client-js": "^0.3.2", - "@pipecat-ai/client-react": "^0.3.2", - "@pipecat-ai/daily-transport": "^0.3.4", + "@pipecat-ai/client-js": "^0.3.5", + "@pipecat-ai/client-react": "^0.3.5", + "@pipecat-ai/daily-transport": "^0.3.7", "react": "^18.3.1", "react-dom": "^18.3.1" }, @@ -1050,9 +1050,9 @@ } }, "node_modules/@pipecat-ai/client-js": { - "version": "0.3.2", - "resolved": "https://registry.npmjs.org/@pipecat-ai/client-js/-/client-js-0.3.2.tgz", - "integrity": "sha512-psunOVrJjPka2SWlq53vxVWCA0Vt8pSXsXtn8pOLC0YTKFsUx+b7Z6quYUJcDZjCe1aAg9cKETek3Xal3Co8Tg==", + "version": "0.3.5", + "resolved": "https://registry.npmjs.org/@pipecat-ai/client-js/-/client-js-0.3.5.tgz", + "integrity": "sha512-qmhnDjwY2XUtLjww35ShsYf5TF9BCuAk0tIj0oHjpTe6v6QOlgKQt8JVCAdc32p5ycouzSZOeDFtBd2aNWuq1g==", "license": "BSD-2-Clause", "dependencies": { "@types/events": "^3.0.3", @@ -1063,9 +1063,9 @@ } }, "node_modules/@pipecat-ai/client-react": { - "version": "0.3.2", - "resolved": "https://registry.npmjs.org/@pipecat-ai/client-react/-/client-react-0.3.2.tgz", - "integrity": "sha512-Vmo6JgNINGwCJXJmvQs1WvtNhoANl0+B8WF5ZTASjf9V5rmvr71EwWSam2C6QuRLsL8T4Yqs/pqQVdWe28nO0g==", + "version": "0.3.5", + "resolved": "https://registry.npmjs.org/@pipecat-ai/client-react/-/client-react-0.3.5.tgz", + "integrity": "sha512-4FDB0j4Ao6VL94mU+qN1iMZENKo4zxzo2iqlQNDUIwzylUgeB+lSmsZHdV/++c4gaf6P561wkbkVowqUAu9Tsw==", "license": "BSD-2-Clause", "dependencies": { "jotai": "^2.9.0" @@ -1077,15 +1077,15 @@ } }, "node_modules/@pipecat-ai/daily-transport": { - "version": "0.3.4", - "resolved": "https://registry.npmjs.org/@pipecat-ai/daily-transport/-/daily-transport-0.3.4.tgz", - "integrity": "sha512-1eUdmUo56jE4tOdqFwk86vMQzxHW3IOb56j4Rkw61a/Nak+r76Ipg5b0pHTwI+fAkqlzkECNq6bEU4bCv61n3Q==", + "version": "0.3.7", + "resolved": "https://registry.npmjs.org/@pipecat-ai/daily-transport/-/daily-transport-0.3.7.tgz", + "integrity": "sha512-khZtjWwEdrngW9oOzGAbbAlhfY9OIC7f2ZLVrHCuPbDB09/Nk1/xVzWQnFD6KXxYLry/6tM2c7OgWFDR9dH+BQ==", "license": "BSD-2-Clause", "dependencies": { "@daily-co/daily-js": "^0.73.0" }, "peerDependencies": { - "@pipecat-ai/client-js": "~0.3.2" + "@pipecat-ai/client-js": "~0.3.5" } }, "node_modules/@rollup/rollup-android-arm-eabi": { diff --git a/examples/simple-chatbot/client/react/package.json b/examples/simple-chatbot/client/react/package.json index 03ec2536f..0f6fd83bb 100644 --- a/examples/simple-chatbot/client/react/package.json +++ b/examples/simple-chatbot/client/react/package.json @@ -10,9 +10,9 @@ "preview": "vite preview" }, "dependencies": { - "@pipecat-ai/client-js": "^0.3.2", - "@pipecat-ai/client-react": "^0.3.2", - "@pipecat-ai/daily-transport": "^0.3.4", + "@pipecat-ai/client-js": "^0.3.5", + "@pipecat-ai/client-react": "^0.3.5", + "@pipecat-ai/daily-transport": "^0.3.7", "react": "^18.3.1", "react-dom": "^18.3.1" }, From 19a82f952244cf2a7d5c5163d92dde7cfb5e1282 Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Thu, 3 Apr 2025 08:23:59 -0400 Subject: [PATCH 29/33] Add verse voice and bump the OpenAI version --- pyproject.toml | 2 +- src/pipecat/services/openai/tts.py | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 3e046c000..87c5c1835 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -31,7 +31,7 @@ dependencies = [ "pyloudnorm~=0.1.1", "resampy~=0.4.3", "soxr~=0.5.0", - "openai~=1.67.0" + "openai~=1.70.0" ] [project.urls] diff --git a/src/pipecat/services/openai/tts.py b/src/pipecat/services/openai/tts.py index 238684504..af2bdfdfa 100644 --- a/src/pipecat/services/openai/tts.py +++ b/src/pipecat/services/openai/tts.py @@ -20,7 +20,7 @@ from pipecat.frames.frames import ( from pipecat.services.tts_service import TTSService ValidVoice = Literal[ - "alloy", "ash", "ballad", "coral", "echo", "fable", "onyx", "nova", "sage", "shimmer" + "alloy", "ash", "ballad", "coral", "echo", "fable", "onyx", "nova", "sage", "shimmer", "verse" ] VALID_VOICES: Dict[str, ValidVoice] = { @@ -34,6 +34,7 @@ VALID_VOICES: Dict[str, ValidVoice] = { "nova": "nova", "sage": "sage", "shimmer": "shimmer", + "verse": "verse", } From e3bcb70b13569c735fb16ac2c0a33ae8272fbd8e Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Thu, 3 Apr 2025 09:02:09 -0400 Subject: [PATCH 30/33] Update ToC With Adapters and Observers --- docs/api/index.rst | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/docs/api/index.rst b/docs/api/index.rst index ce7c22113..199aed1dd 100644 --- a/docs/api/index.rst +++ b/docs/api/index.rst @@ -45,8 +45,10 @@ Transport & Serialization Utilities ~~~~~~~~~ +* :mod:`Adapters ` * :mod:`Clocks ` * :mod:`Metrics ` +* :mod:`Observers ` * :mod:`Sync ` * :mod:`Transcriptions ` * :mod:`Utils ` @@ -56,10 +58,12 @@ Utilities :caption: API Reference :hidden: + Adapters Audio Clocks Frames Metrics + Observers Pipeline Processors Serializers From 3536cbcd13df526c72e7b287367182d1eb92024f Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Thu, 3 Apr 2025 09:21:26 -0400 Subject: [PATCH 31/33] Add docstrings to FunctionSchema, update CONTRIBUTING.md with docstrings guidance, ignore __init__ docstrings if a class is sufficiently documented --- CONTRIBUTING.md | 67 +++++++++++++++---- pyproject.toml | 3 + .../adapters/schemas/function_schema.py | 43 +++++++++--- 3 files changed, 92 insertions(+), 21 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 8762e5cbb..8fee75bd0 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -26,11 +26,52 @@ git commit -m "Description of your changes" git push origin your-branch-name ``` -9. **Submit a Pull Request (PR)**: Open a PR from your forked repository to the main branch of this repo. -> Important: Describe the changes you've made clearly! +8. **Submit a Pull Request (PR)**: Open a PR from your forked repository to the main branch of this repo. + > Important: Describe the changes you've made clearly! Our maintainers will review your PR, and once everything is good, your contributions will be merged! +## Code Style and Documentation + +### Python Code Style + +We use Ruff for code linting and formatting. Please ensure your code passes all linting checks before submitting a PR. + +### Docstring Conventions + +We follow Google-style docstrings with these specific conventions: + +- Class docstrings should fully document all parameters used in `__init__` +- We don't require separate docstrings for `__init__` methods when parameters are documented in the class docstring +- Property methods should have docstrings explaining their purpose and return value + +Example of correctly documented class: + +```python +class MyClass: + """Class description. + + Additional details about the class. + + Args: + param1: Description of first parameter. + param2: Description of second parameter. + """ + + def __init__(self, param1, param2): + # No docstring required here as parameters are documented above + self.param1 = param1 + self.param2 = param2 + + @property + def some_property(self) -> str: + """Get the formatted property value. + + Returns: + A string representation of the property. + """ + return f"Property: {self.param1}" +``` # Contributor Covenant Code of Conduct @@ -51,23 +92,23 @@ diverse, inclusive, and healthy community. Examples of behavior that contributes to a positive environment for our community include: -* Demonstrating empathy and kindness toward other people -* Being respectful of differing opinions, viewpoints, and experiences -* Giving and gracefully accepting constructive feedback -* Accepting responsibility and apologizing to those affected by our mistakes, +- Demonstrating empathy and kindness toward other people +- Being respectful of differing opinions, viewpoints, and experiences +- Giving and gracefully accepting constructive feedback +- Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience -* Focusing on what is best not just for us as individuals, but for the overall +- Focusing on what is best not just for us as individuals, but for the overall community Examples of unacceptable behavior include: -* The use of sexualized language or imagery, and sexual attention or advances of +- The use of sexualized language or imagery, and sexual attention or advances of any kind -* Trolling, insulting or derogatory comments, and personal or political attacks -* Public or private harassment -* Publishing others' private information, such as a physical or email address, +- Trolling, insulting or derogatory comments, and personal or political attacks +- Public or private harassment +- Publishing others' private information, such as a physical or email address, without their explicit permission -* Other conduct which could reasonably be considered inappropriate in a +- Other conduct which could reasonably be considered inappropriate in a professional setting ## Enforcement Responsibilities @@ -162,4 +203,4 @@ For answers to common questions about this code of conduct, see the FAQ at [v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html [Mozilla CoC]: https://github.com/mozilla/diversity [FAQ]: https://www.contributor-covenant.org/faq -[translations]: https://www.contributor-covenant.org/translations \ No newline at end of file +[translations]: https://www.contributor-covenant.org/translations diff --git a/pyproject.toml b/pyproject.toml index 3e046c000..976f9db67 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -115,6 +115,9 @@ select = [ "D", # Docstring rules "I", # Import rules ] +# We ignore D107 because class docstrings already document __init__ parameters +# and our Sphinx configuration uses napoleon_include_init_with_doc=True +ignore = ["D107"] [tool.ruff.lint.pydocstyle] convention = "google" diff --git a/src/pipecat/adapters/schemas/function_schema.py b/src/pipecat/adapters/schemas/function_schema.py index f6e59cef1..55a070cf9 100644 --- a/src/pipecat/adapters/schemas/function_schema.py +++ b/src/pipecat/adapters/schemas/function_schema.py @@ -8,16 +8,22 @@ from typing import Any, Dict, List class FunctionSchema: + """Standardized function schema representation for tool definition. + + Provides a structured way to define function tools used with AI models like OpenAI. + This schema defines the function's name, description, parameter properties, and + required parameters, following specifications required by AI service providers. + + Args: + name: Name of the function to be called. + description: Description of what the function does. + properties: Dictionary defining parameter types, descriptions, and constraints. + required: List of property names that are required parameters. + """ + def __init__( self, name: str, description: str, properties: Dict[str, Any], required: List[str] ) -> None: - """Standardized function schema representation. - - :param name: Name of the function. - :param description: Description of the function. - :param properties: Dictionary defining properties types and descriptions. - :param required: List of required parameters. - """ self._name = name self._description = description self._properties = properties @@ -26,7 +32,8 @@ class FunctionSchema: def to_default_dict(self) -> Dict[str, Any]: """Converts the function schema to a dictionary. - :return: Dictionary representation of the function schema. + Returns: + Dictionary representation of the function schema. """ return { "name": self._name, @@ -40,16 +47,36 @@ class FunctionSchema: @property def name(self) -> str: + """Get the function name. + + Returns: + The function name. + """ return self._name @property def description(self) -> str: + """Get the function description. + + Returns: + The function description. + """ return self._description @property def properties(self) -> Dict[str, Any]: + """Get the function properties. + + Returns: + Dictionary of parameter specifications. + """ return self._properties @property def required(self) -> List[str]: + """Get the required parameters. + + Returns: + List of required parameter names. + """ return self._required From 79f29e14dddf6f70095ae24d50b2f4cca4b5378c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aleix=20Conchillo=20Flaqu=C3=A9?= Date: Wed, 2 Apr 2025 19:28:52 -0700 Subject: [PATCH 32/33] processors: add ProducerProcessor and ConsumerProcessor --- CHANGELOG.md | 9 ++ src/pipecat/processors/consumer_processor.py | 65 ++++++++++ src/pipecat/processors/producer_processor.py | 73 +++++++++++ tests/test_producer_consumer.py | 120 +++++++++++++++++++ 4 files changed, 267 insertions(+) create mode 100644 src/pipecat/processors/consumer_processor.py create mode 100644 src/pipecat/processors/producer_processor.py create mode 100644 tests/test_producer_consumer.py diff --git a/CHANGELOG.md b/CHANGELOG.md index aec1ec0fb..8b2cf3958 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,6 +7,15 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] +### Added + +- Added new processors `ProducerProcessor` and `ConsumerProcessor`. The producer + processor processes frames from the pipeline and decides whether the consumers + should consume it or not. If so, the same frame that is received by the + producer is sent to the consumer. There can be multiple consumers per + producer. These processors can be useful to push frames from one part of a + pipeline to a different one (e.g. when using `ParallelPipeline`). + ### Fixed - Fixed an issue where `LLMAssistantContextAggregator` would prevent a diff --git a/src/pipecat/processors/consumer_processor.py b/src/pipecat/processors/consumer_processor.py new file mode 100644 index 000000000..dbdfc97e5 --- /dev/null +++ b/src/pipecat/processors/consumer_processor.py @@ -0,0 +1,65 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +import asyncio +from typing import Awaitable, Callable, Optional + +from pipecat.frames.frames import CancelFrame, EndFrame, Frame, StartFrame +from pipecat.processors.frame_processor import FrameDirection, FrameProcessor +from pipecat.processors.producer_processor import ProducerProcessor, identity_transformer + + +class ConsumerProcessor(FrameProcessor): + """This class passes-through frames and also consumes frames from a + producer's queue. When a frame from a producer queue is received it will be + pushed to the specified direction. The frames can be transformed into a + different type of frame before being pushed. + + """ + + def __init__( + self, + *, + producer: ProducerProcessor, + transformer: Callable[[Frame], Awaitable[Frame]] = identity_transformer, + direction: FrameDirection = FrameDirection.DOWNSTREAM, + **kwargs, + ): + super().__init__(**kwargs) + self._transformer = transformer + self._direction = direction + self._queue: asyncio.Queue = producer.add_consumer() + self._consumer_task: Optional[asyncio.Task] = None + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if isinstance(frame, StartFrame): + await self._start(frame) + elif isinstance(frame, EndFrame): + await self._stop(frame) + elif isinstance(frame, CancelFrame): + await self._cancel(frame) + + await self.push_frame(frame, direction) + + async def _start(self, _: StartFrame): + if not self._consumer_task: + self._consumer_task = self.create_task(self._consumer_task_handler()) + + async def _stop(self, _: EndFrame): + if self._consumer_task: + await self.cancel_task(self._consumer_task) + + async def _cancel(self, _: CancelFrame): + if self._consumer_task: + await self.cancel_task(self._consumer_task) + + async def _consumer_task_handler(self): + while True: + frame = await self._queue.get() + new_frame = await self._transformer(frame) + await self.push_frame(new_frame, self._direction) diff --git a/src/pipecat/processors/producer_processor.py b/src/pipecat/processors/producer_processor.py new file mode 100644 index 000000000..6ada2ed83 --- /dev/null +++ b/src/pipecat/processors/producer_processor.py @@ -0,0 +1,73 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +import asyncio +from typing import Awaitable, Callable, List + +from pipecat.frames.frames import Frame +from pipecat.processors.frame_processor import FrameDirection, FrameProcessor + + +async def identity_transformer(frame: Frame): + return frame + + +class ProducerProcessor(FrameProcessor): + """This class optionally passes-through received frames and decides if those + frames should be sent to consumers based on a user-defined filter. The + frames can be transformed into a different type of frame before being + sending them to the consumers. More than one consumer can be added. + + """ + + def __init__( + self, + *, + filter: Callable[[Frame], Awaitable[bool]], + transformer: Callable[[Frame], Awaitable[Frame]] = identity_transformer, + passthrough: bool = True, + ): + super().__init__() + self._filter = filter + self._transformer = transformer + self._passthrough = passthrough + self._consumers: List[asyncio.Queue] = [] + + def add_consumer(self): + """ + Adds a new consumer and returns its associated queue. + + Returns: + asyncio.Queue: The queue for the newly added consumer. + """ + queue = asyncio.Queue() + self._consumers.append(queue) + return queue + + async def process_frame(self, frame: Frame, direction: FrameDirection): + """ + Processes an incoming frame and determines whether to produce it as a ProducerItem. + + If the frame meets the produce criteria, it will be added to the consumer queues. + If passthrough is enabled, the frame will also be sent to consumers. + + Args: + frame (Frame): The frame to process. + direction (FrameDirection): The direction of the frame. + """ + await super().process_frame(frame, direction) + + if await self._filter(frame): + await self._produce(frame) + if self._passthrough: + await self.push_frame(frame, direction) + else: + await self.push_frame(frame, direction) + + async def _produce(self, frame: Frame): + for consumer in self._consumers: + new_frame = await self._transformer(frame) + await consumer.put(new_frame) diff --git a/tests/test_producer_consumer.py b/tests/test_producer_consumer.py new file mode 100644 index 000000000..578d14706 --- /dev/null +++ b/tests/test_producer_consumer.py @@ -0,0 +1,120 @@ +# +# Copyright (c) 2024-2025 Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +import unittest + +from pipecat.frames.frames import Frame, InputAudioRawFrame, TextFrame +from pipecat.pipeline.parallel_pipeline import ParallelPipeline +from pipecat.pipeline.pipeline import Pipeline +from pipecat.processors.consumer_processor import ConsumerProcessor +from pipecat.processors.producer_processor import ProducerProcessor +from pipecat.tests.utils import SleepFrame, run_test + + +async def text_frame_filter(frame: Frame): + return isinstance(frame, TextFrame) + + +class TestProducerConsumerProcessor(unittest.IsolatedAsyncioTestCase): + async def test_produce_passthrough(self): + producer = ProducerProcessor(filter=text_frame_filter) + consumer = ConsumerProcessor(producer=producer) + pipeline = Pipeline([producer, consumer]) + frames_to_send = [ + TextFrame("Hello!"), + SleepFrame(), # So we let the consumer go first. + ] + expected_down_frames = [ + TextFrame, # Consumer frame + TextFrame, # Pass-through frame + ] + await run_test( + pipeline, + frames_to_send=frames_to_send, + expected_down_frames=expected_down_frames, + ) + + async def test_produce_no_passthrough(self): + producer = ProducerProcessor(filter=text_frame_filter, passthrough=False) + consumer = ConsumerProcessor(producer=producer) + pipeline = Pipeline([producer, consumer]) + frames_to_send = [TextFrame("Hello!")] + expected_down_frames = [TextFrame] + await run_test( + pipeline, + frames_to_send=frames_to_send, + expected_down_frames=expected_down_frames, + ) + + async def test_produce_multiple_consumer_no_passthrough(self): + producer = ProducerProcessor(filter=text_frame_filter, passthrough=False) + consumer1 = ConsumerProcessor(producer=producer) + consumer2 = ConsumerProcessor(producer=producer) + pipeline = Pipeline([producer, consumer1, consumer2]) + frames_to_send = [TextFrame("Hello!")] + expected_down_frames = [ + TextFrame, # From consumer1 or consumer2 (depending on who runs first) + TextFrame, # From consumer1 or consumer2 (depending on who runs first) + ] + await run_test( + pipeline, + frames_to_send=frames_to_send, + expected_down_frames=expected_down_frames, + ) + + async def test_produce_parallel_pipeline_no_passthrough(self): + producer = ProducerProcessor(filter=text_frame_filter, passthrough=False) + consumer = ConsumerProcessor(producer=producer) + pipeline = Pipeline([ParallelPipeline([producer], [consumer])]) + frames_to_send = [TextFrame("Hello!")] + expected_down_frames = [TextFrame] + await run_test( + pipeline, + frames_to_send=frames_to_send, + expected_down_frames=expected_down_frames, + ) + + async def test_produce_passthrough_transform(self): + async def audio_transformer(_: Frame) -> Frame: + return InputAudioRawFrame(audio=b"", sample_rate=16000, num_channels=1) + + producer = ProducerProcessor(filter=text_frame_filter, transformer=audio_transformer) + consumer = ConsumerProcessor(producer=producer) + pipeline = Pipeline([producer, consumer]) + frames_to_send = [ + TextFrame("Hello!"), + SleepFrame(), # So we let the consumer go first. + ] + expected_down_frames = [ + InputAudioRawFrame, # Consumer frame + TextFrame, # Pass-through frame + ] + await run_test( + pipeline, + frames_to_send=frames_to_send, + expected_down_frames=expected_down_frames, + ) + + async def test_produce_passthrough_consumer_transform(self): + async def audio_transformer(_: Frame) -> Frame: + return InputAudioRawFrame(audio=b"", sample_rate=16000, num_channels=1) + + producer = ProducerProcessor(filter=text_frame_filter) + consumer = ConsumerProcessor(producer=producer, transformer=audio_transformer) + pipeline = Pipeline([producer, consumer]) + frames_to_send = [ + TextFrame("Hello!"), + SleepFrame(), # So we let the consumer go first. + ] + expected_down_frames = [ + InputAudioRawFrame, # Consumer frame + TextFrame, # Pass-through frame + ] + await run_test( + pipeline, + frames_to_send=frames_to_send, + expected_down_frames=expected_down_frames, + ) From ec00edc89333cddfbe0ca5424195eed36185b7ce Mon Sep 17 00:00:00 2001 From: Mattie Ruth Date: Thu, 3 Apr 2025 15:47:03 -0400 Subject: [PATCH 33/33] Update client examples to use latest versions (#1523) --- .../client/javascript/package-lock.json | 872 +--------- .../client/javascript/package.json | 4 +- .../client/javascript/src/app.ts | 76 +- .../instant-voice/client/javascript/yarn.lock | 100 +- .../instant-voice/server/src/single_bot.py | 4 +- .../client/javascript/package-lock.json | 562 +++--- .../client/javascript/package.json | 4 +- .../news-chatbot/client/javascript/src/app.js | 52 +- .../client/javascript/package-lock.json | 762 +-------- .../client/javascript/package.json | 2 +- .../client/javascript/src/app.js | 146 +- .../client/react/package-lock.json | 1506 +++-------------- .../simple-chatbot/client/react/package.json | 2 +- examples/simple-chatbot/server/env.example | 3 +- examples/simple-chatbot/server/server.py | 18 +- 15 files changed, 875 insertions(+), 3238 deletions(-) diff --git a/examples/instant-voice/client/javascript/package-lock.json b/examples/instant-voice/client/javascript/package-lock.json index 54ed9131c..0f7d3381a 100644 --- a/examples/instant-voice/client/javascript/package-lock.json +++ b/examples/instant-voice/client/javascript/package-lock.json @@ -9,8 +9,8 @@ "version": "1.0.0", "license": "ISC", "dependencies": { - "@pipecat-ai/client-js": "^0.3.2", - "@pipecat-ai/daily-transport": "^0.3.5" + "@pipecat-ai/client-js": "^0.3.5", + "@pipecat-ai/daily-transport": "^0.3.8" }, "devDependencies": { "@types/node": "^22.13.1", @@ -20,9 +20,9 @@ } }, "node_modules/@babel/runtime": { - "version": "7.26.0", - "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.26.0.tgz", - "integrity": "sha512-FDSOghenHTiToteC/QRlv2q3DhPZ/oOXTBoirfWNx1Cx3TMVcGWQtMMmQcSvb/JjpNeGzx8Pq/b4fKEJuWm1sw==", + "version": "7.27.0", + "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.27.0.tgz", + "integrity": "sha512-VtPOkrdPHZsKc/clNqyi9WUA8TINkZ4cGk63UUE3u4pmB2k+ZMQRDuIOagv8UVd6j7k0T3+RRIb7beKTebNbcw==", "license": "MIT", "dependencies": { "regenerator-runtime": "^0.14.0" @@ -32,9 +32,9 @@ } }, "node_modules/@daily-co/daily-js": { - "version": "0.73.0", - "resolved": "https://registry.npmjs.org/@daily-co/daily-js/-/daily-js-0.73.0.tgz", - "integrity": "sha512-Wz8c60hgmkx8fcEeDAi4L4J0rbafiihWKyXFyhYoFYPsw2OdChHpA4RYwIB+1enRws5IK+/HdmzFDYLQsB4A6w==", + "version": "0.77.0", + "resolved": "https://registry.npmjs.org/@daily-co/daily-js/-/daily-js-0.77.0.tgz", + "integrity": "sha512-icNXKieKAkRR/C5dcPjrCkL1jQGFp5C5WtLHy5uHAdTztm+mo9wlPJuehbWaGOM3TV24mgWHZ/+8jOys1G0I4w==", "license": "BSD-2-Clause", "dependencies": { "@babel/runtime": "^7.12.5", @@ -47,74 +47,6 @@ "node": ">=10.0.0" } }, - "node_modules/@esbuild/aix-ppc64": { - "version": "0.24.0", - "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.24.0.tgz", - "integrity": "sha512-WtKdFM7ls47zkKHFVzMz8opM7LkcsIp9amDUBIAWirg70RM71WRSjdILPsY5Uv1D42ZpUfaPILDlfactHgsRkw==", - "cpu": [ - "ppc64" - ], - "dev": true, - "license": "MIT", - "optional": true, - "os": [ - "aix" - ], - "engines": { - "node": ">=18" - } - }, - "node_modules/@esbuild/android-arm": { - "version": "0.24.0", - 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a/examples/instant-voice/client/javascript/package.json b/examples/instant-voice/client/javascript/package.json index 9c3afb89a..2c0d937bd 100644 --- a/examples/instant-voice/client/javascript/package.json +++ b/examples/instant-voice/client/javascript/package.json @@ -18,7 +18,7 @@ "vite": "^6.0.2" }, "dependencies": { - "@pipecat-ai/client-js": "^0.3.2", - "@pipecat-ai/daily-transport": "^0.3.5" + "@pipecat-ai/client-js": "^0.3.5", + "@pipecat-ai/daily-transport": "^0.3.8" } } diff --git a/examples/instant-voice/client/javascript/src/app.ts b/examples/instant-voice/client/javascript/src/app.ts index bb587307c..6ce1a91b3 100644 --- a/examples/instant-voice/client/javascript/src/app.ts +++ b/examples/instant-voice/client/javascript/src/app.ts @@ -23,15 +23,14 @@ import { RTVIEvent, } from '@pipecat-ai/client-js'; import { DailyTransport } from '@pipecat-ai/daily-transport'; -import SoundUtils from "./util/soundUtils"; -import { InstantVoiceHelper } from "./util/instantVoiceHelper"; +import SoundUtils from './util/soundUtils'; +import { InstantVoiceHelper } from './util/instantVoiceHelper'; /** * InstantVoiceClient handles the connection and media management for a real-time * voice and video interaction with an AI bot. */ class InstantVoiceClient { - private declare rtviClient: RTVIClient; private connectBtn: HTMLButtonElement | null = null; private disconnectBtn: HTMLButtonElement | null = null; @@ -54,8 +53,12 @@ class InstantVoiceClient { * Set up references to DOM elements and create necessary media elements */ private setupDOMElements(): void { - this.connectBtn = document.getElementById('connect-btn') as HTMLButtonElement; - this.disconnectBtn = document.getElementById('disconnect-btn') as HTMLButtonElement; + this.connectBtn = document.getElementById( + 'connect-btn' + ) as HTMLButtonElement; + this.disconnectBtn = document.getElementById( + 'disconnect-btn' + ) as HTMLButtonElement; this.statusSpan = document.getElementById('connection-status'); this.bufferingAudioSpan = document.getElementById('buffering-status'); this.debugLog = document.getElementById('debug-log'); @@ -70,11 +73,10 @@ class InstantVoiceClient { } private initializeRTVIClient(): void { - const transport = new DailyTransport({ - bufferLocalAudioUntilBotReady: true - }); const RTVIConfig: RTVIClientOptions = { - transport, + transport: new DailyTransport({ + bufferLocalAudioUntilBotReady: true, + }), params: { // The baseURL and endpoint of your bot server that the client will connect to baseUrl: 'http://localhost:7860', @@ -95,7 +97,7 @@ class InstantVoiceClient { if (this.disconnectBtn) this.disconnectBtn.disabled = true; this.log('Client disconnected'); }, - onBotConnected: (participant: Participant) => { + onBotConnected: (participant: Participant) => { this.log(`onBotConnected, timeTaken: ${Date.now() - this.startTime}`); }, onBotReady: (data) => { @@ -112,23 +114,29 @@ class InstantVoiceClient { onMessageError: (error) => console.error('Message error:', error), onError: (error) => console.error('Error:', error), }, - } + }; this.rtviClient = new RTVIClient(RTVIConfig); - this.rtviClient.registerHelper("transport", new InstantVoiceHelper({ - callbacks: { - onAudioBufferingStarted: () => { - SoundUtils.beep() - this.updateBufferingStatus('Yes'); - this.log(`onMicCaptureStarted, timeTaken: ${Date.now() - this.startTime}`); - }, - onAudioBufferingStopped: () => { - this.updateBufferingStatus('No'); - this.log(`onMicCaptureStopped, timeTaken: ${Date.now() - this.startTime}`); - } - } - } - )); + this.rtviClient.registerHelper( + 'transport', + new InstantVoiceHelper({ + callbacks: { + onAudioBufferingStarted: () => { + SoundUtils.beep(); + this.updateBufferingStatus('Yes'); + this.log( + `onMicCaptureStarted, timeTaken: ${Date.now() - this.startTime}` + ); + }, + onAudioBufferingStopped: () => { + this.updateBufferingStatus('No'); + this.log( + `onMicCaptureStopped, timeTaken: ${Date.now() - this.startTime}` + ); + }, + }, + }) + ); this.setupTrackListeners(); } @@ -198,7 +206,9 @@ class InstantVoiceClient { // Listen for tracks stopping this.rtviClient.on(RTVIEvent.TrackStopped, (track, participant) => { - this.log(`Track stopped: ${track.kind} from ${participant?.name || 'unknown'}`); + this.log( + `Track stopped: ${track.kind} from ${participant?.name || 'unknown'}` + ); }); } @@ -208,7 +218,10 @@ class InstantVoiceClient { */ private setupAudioTrack(track: MediaStreamTrack): void { this.log('Setting up audio track'); - if (this.botAudio.srcObject && "getAudioTracks" in this.botAudio.srcObject) { + if ( + this.botAudio.srcObject && + 'getAudioTracks' in this.botAudio.srcObject + ) { const oldTrack = this.botAudio.srcObject.getAudioTracks()[0]; if (oldTrack?.id === track.id) return; } @@ -246,8 +259,13 @@ class InstantVoiceClient { public async disconnect(): Promise { try { await this.rtviClient.disconnect(); - if (this.botAudio.srcObject && "getAudioTracks" in this.botAudio.srcObject) { - this.botAudio.srcObject.getAudioTracks().forEach((track) => track.stop()); + if ( + this.botAudio.srcObject && + 'getAudioTracks' in this.botAudio.srcObject + ) { + this.botAudio.srcObject + .getAudioTracks() + .forEach((track) => track.stop()); this.botAudio.srcObject = null; } } catch (error) { diff --git a/examples/instant-voice/client/javascript/yarn.lock b/examples/instant-voice/client/javascript/yarn.lock index e74aef8b7..8a92c8778 100644 --- a/examples/instant-voice/client/javascript/yarn.lock +++ b/examples/instant-voice/client/javascript/yarn.lock @@ -3,16 +3,16 @@ "@babel/runtime@^7.12.5": - version "7.26.0" - resolved "https://registry.npmjs.org/@babel/runtime/-/runtime-7.26.0.tgz" - integrity sha512-FDSOghenHTiToteC/QRlv2q3DhPZ/oOXTBoirfWNx1Cx3TMVcGWQtMMmQcSvb/JjpNeGzx8Pq/b4fKEJuWm1sw== + version "7.27.0" + resolved "https://registry.npmjs.org/@babel/runtime/-/runtime-7.27.0.tgz" + integrity 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import RTVIConfig, RTVIObserver, RTVIProcessor from pipecat.services.gemini_multimodal_live import GeminiMultimodalLiveLLMService from pipecat.transports.services.daily import DailyParams, DailyTransport @@ -93,7 +93,7 @@ async def main(): task = PipelineTask( pipeline, params=PipelineParams(allow_interruptions=True), - observers=[rtvi.observer()], + observers=[RTVIObserver(rtvi)], ) @rtvi.event_handler("on_client_ready") diff --git a/examples/news-chatbot/client/javascript/package-lock.json b/examples/news-chatbot/client/javascript/package-lock.json index 2c51d3cc7..c0945d858 100644 --- a/examples/news-chatbot/client/javascript/package-lock.json +++ b/examples/news-chatbot/client/javascript/package-lock.json @@ -9,17 +9,17 @@ "version": "1.0.0", "license": "ISC", "dependencies": { - "@pipecat-ai/client-js": "^0.3.2", - "@pipecat-ai/daily-transport": "^0.3.4" + "@pipecat-ai/client-js": "^0.3.5", + "@pipecat-ai/daily-transport": "^0.3.8" }, "devDependencies": { "vite": "^6.0.9" } }, 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"optional": true, "os": [ "android" @@ -93,13 +96,14 @@ } }, "node_modules/@esbuild/android-x64": { - "version": "0.24.2", - "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.24.2.tgz", - "integrity": "sha512-B6Q0YQDqMx9D7rvIcsXfmJfvUYLoP722bgfBlO5cGvNVb5V/+Y7nhBE3mHV9OpxBf4eAS2S68KZztiPaWq4XYw==", + "version": "0.25.2", + "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.25.2.tgz", + "integrity": "sha512-Ffcx+nnma8Sge4jzddPHCZVRvIfQ0kMsUsCMcJRHkGJ1cDmhe4SsrYIjLUKn1xpHZybmOqCWwB0zQvsjdEHtkg==", "cpu": [ "x64" ], "dev": true, + "license": "MIT", "optional": true, "os": [ "android" @@ -109,13 +113,14 @@ } }, "node_modules/@esbuild/darwin-arm64": { - "version": "0.24.2", - "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.24.2.tgz", - "integrity": "sha512-kj3AnYWc+CekmZnS5IPu9D+HWtUI49hbnyqk0FLEJDbzCIQt7hg7ucF1SQAilhtYpIujfaHr6O0UHlzzSPdOeA==", + "version": "0.25.2", + "resolved": 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"license": "MIT", "bin": { "nanoid": "bin/nanoid.cjs" }, @@ -947,12 +1009,13 @@ "version": "1.1.1", "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz", "integrity": "sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA==", - "dev": true + "dev": true, + "license": "ISC" }, "node_modules/postcss": { - "version": "8.5.2", - "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.2.tgz", - "integrity": "sha512-MjOadfU3Ys9KYoX0AdkBlFEF1Vx37uCCeN4ZHnmwm9FfpbsGWMZeBLMmmpY+6Ocqod7mkdZ0DT31OlbsFrLlkA==", + "version": "8.5.3", + "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.3.tgz", + "integrity": "sha512-dle9A3yYxlBSrt8Fu+IpjGT8SY8hN0mlaA6GY8t0P5PjIOZemULz/E2Bnm/2dcUOena75OTNkHI76uZBNUUq3A==", "dev": true, "funding": [ { @@ -968,6 +1031,7 @@ "url": "https://github.com/sponsors/ai" } ], + "license": "MIT", "dependencies": { "nanoid": "^3.3.8", "picocolors": "^1.1.1", @@ -984,12 +1048,13 @@ "license": "MIT" }, 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"optional": true, "dependencies": { @@ -1048,6 +1114,7 @@ "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz", "integrity": "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==", "dev": true, + "license": "BSD-3-Clause", "engines": { "node": ">=0.10.0" } @@ -1082,13 +1149,14 @@ } }, "node_modules/vite": { - "version": "6.1.0", - "resolved": "https://registry.npmjs.org/vite/-/vite-6.1.0.tgz", - "integrity": "sha512-RjjMipCKVoR4hVfPY6GQTgveinjNuyLw+qruksLDvA5ktI1150VmcMBKmQaEWJhg/j6Uaf6dNCNA0AfdzUb/hQ==", + "version": "6.2.5", + "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.5.tgz", + "integrity": "sha512-j023J/hCAa4pRIUH6J9HemwYfjB5llR2Ps0CWeikOtdR8+pAURAk0DoJC5/mm9kd+UgdnIy7d6HE4EAvlYhPhA==", "dev": true, + "license": "MIT", "dependencies": { - "esbuild": "^0.24.2", - "postcss": "^8.5.1", + "esbuild": "^0.25.0", + "postcss": "^8.5.3", "rollup": "^4.30.1" }, "bin": { diff --git a/examples/news-chatbot/client/javascript/package.json b/examples/news-chatbot/client/javascript/package.json index 84a4c3fb6..6a112c3ad 100644 --- a/examples/news-chatbot/client/javascript/package.json +++ b/examples/news-chatbot/client/javascript/package.json @@ -15,7 +15,7 @@ "vite": "^6.0.9" }, "dependencies": { - "@pipecat-ai/client-js": "^0.3.2", - "@pipecat-ai/daily-transport": "^0.3.4" + "@pipecat-ai/client-js": "^0.3.5", + "@pipecat-ai/daily-transport": "^0.3.8" } } diff --git a/examples/news-chatbot/client/javascript/src/app.js b/examples/news-chatbot/client/javascript/src/app.js index e1b0c10a6..45c8d9035 100644 --- a/examples/news-chatbot/client/javascript/src/app.js +++ b/examples/news-chatbot/client/javascript/src/app.js @@ -16,30 +16,34 @@ * - Browser with WebRTC support */ -import {LogLevel, RTVIClient, RTVIClientHelper, RTVIEvent} from '@pipecat-ai/client-js'; +import { + LogLevel, + RTVIClient, + RTVIClientHelper, + RTVIEvent, +} from '@pipecat-ai/client-js'; import { DailyTransport } from '@pipecat-ai/daily-transport'; class SearchResponseHelper extends RTVIClientHelper { - constructor(contentPanel) { - super() - this.contentPanel = contentPanel + super(); + this.contentPanel = contentPanel; } handleMessage(rtviMessage) { - console.log("SearchResponseHelper, received message:", rtviMessage) + console.log('SearchResponseHelper, received message:', rtviMessage); if (rtviMessage.data) { // Clear existing content - this.contentPanel.innerHTML = ""; + this.contentPanel.innerHTML = ''; // Create a container for all content const contentContainer = document.createElement('div'); - contentContainer.className = "content-container"; + contentContainer.className = 'content-container'; // Add the search_result if (rtviMessage.data.search_result) { const searchResultDiv = document.createElement('div'); - searchResultDiv.className = "search-result"; + searchResultDiv.className = 'search-result'; searchResultDiv.textContent = rtviMessage.data.search_result; contentContainer.appendChild(searchResultDiv); } @@ -47,18 +51,18 @@ class SearchResponseHelper extends RTVIClientHelper { // Add the sources if (rtviMessage.data.origins) { const sourcesDiv = document.createElement('div'); - sourcesDiv.className = "sources"; + sourcesDiv.className = 'sources'; const sourcesTitle = document.createElement('h3'); - sourcesTitle.className = "sources-title"; - sourcesTitle.textContent = "Sources:"; + sourcesTitle.className = 'sources-title'; + sourcesTitle.textContent = 'Sources:'; sourcesDiv.appendChild(sourcesTitle); - rtviMessage.data.origins.forEach(origin => { + rtviMessage.data.origins.forEach((origin) => { const sourceLink = document.createElement('a'); - sourceLink.className = "source-link"; + sourceLink.className = 'source-link'; sourceLink.href = origin.site_uri; - sourceLink.target = "_blank"; + sourceLink.target = '_blank'; sourceLink.textContent = origin.site_title; sourcesDiv.appendChild(sourceLink); }); @@ -69,7 +73,7 @@ class SearchResponseHelper extends RTVIClientHelper { // Add the rendered_content in an iframe if (rtviMessage.data.rendered_content) { const iframe = document.createElement('iframe'); - iframe.className = "iframe-container"; + iframe.className = 'iframe-container'; iframe.srcdoc = rtviMessage.data.rendered_content; contentContainer.appendChild(iframe); } @@ -80,7 +84,7 @@ class SearchResponseHelper extends RTVIClientHelper { } getMessageTypes() { - return ["bot-llm-search-response"] + return ['bot-llm-search-response']; } } @@ -105,7 +109,9 @@ class ChatbotClient { this.disconnectBtn = document.getElementById('disconnect-btn'); this.statusSpan = document.getElementById('connection-status'); this.debugLog = document.getElementById('debug-log'); - this.searchResultContainer = document.getElementById('search-result-container'); + this.searchResultContainer = document.getElementById( + 'search-result-container' + ); // Create an audio element for bot's voice output this.botAudio = document.createElement('audio'); @@ -211,12 +217,9 @@ class ChatbotClient { */ async connect() { try { - // Create a new Daily transport for WebRTC communication - const transport = new DailyTransport(); - - // Initialize the RTVI client with our configuration + // Initialize the RTVI client with a Daily WebRTC transport and our configuration this.rtviClient = new RTVIClient({ - transport, + transport: new DailyTransport(), params: { // The baseURL and endpoint of your bot server that the client will connect to baseUrl: 'http://localhost:7860', @@ -279,7 +282,10 @@ class ChatbotClient { }, }); //this.rtviClient.setLogLevel(LogLevel.DEBUG) - this.rtviClient.registerHelper("llm", new SearchResponseHelper(this.searchResultContainer)) + this.rtviClient.registerHelper( + 'llm', + new SearchResponseHelper(this.searchResultContainer) + ); // Set up listeners for media track events this.setupTrackListeners(); diff --git a/examples/simple-chatbot/client/javascript/package-lock.json b/examples/simple-chatbot/client/javascript/package-lock.json index 8d462f2fc..da062030a 100644 --- a/examples/simple-chatbot/client/javascript/package-lock.json +++ b/examples/simple-chatbot/client/javascript/package-lock.json @@ -10,16 +10,16 @@ "license": "ISC", "dependencies": { "@pipecat-ai/client-js": "^0.3.5", - "@pipecat-ai/daily-transport": "^0.3.7" + "@pipecat-ai/daily-transport": "^0.3.8" }, "devDependencies": { "vite": "^6.0.9" } }, "node_modules/@babel/runtime": { - "version": "7.26.0", - "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.26.0.tgz", - "integrity": "sha512-FDSOghenHTiToteC/QRlv2q3DhPZ/oOXTBoirfWNx1Cx3TMVcGWQtMMmQcSvb/JjpNeGzx8Pq/b4fKEJuWm1sw==", + "version": "7.27.0", + "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.27.0.tgz", + "integrity": "sha512-VtPOkrdPHZsKc/clNqyi9WUA8TINkZ4cGk63UUE3u4pmB2k+ZMQRDuIOagv8UVd6j7k0T3+RRIb7beKTebNbcw==", "license": "MIT", "dependencies": { "regenerator-runtime": "^0.14.0" @@ -29,9 +29,9 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"resolved": "https://registry.npmjs.org/vite/-/vite-6.1.0.tgz", - "integrity": "sha512-RjjMipCKVoR4hVfPY6GQTgveinjNuyLw+qruksLDvA5ktI1150VmcMBKmQaEWJhg/j6Uaf6dNCNA0AfdzUb/hQ==", "dev": true, + "license": "MIT", "dependencies": { "esbuild": "^0.24.2", "postcss": "^8.5.1", diff --git a/examples/simple-chatbot/client/javascript/package.json b/examples/simple-chatbot/client/javascript/package.json index 33c2a653c..6a112c3ad 100644 --- a/examples/simple-chatbot/client/javascript/package.json +++ b/examples/simple-chatbot/client/javascript/package.json @@ -16,6 +16,6 @@ }, "dependencies": { "@pipecat-ai/client-js": "^0.3.5", - "@pipecat-ai/daily-transport": "^0.3.7" + "@pipecat-ai/daily-transport": "^0.3.8" } } diff --git a/examples/simple-chatbot/client/javascript/src/app.js b/examples/simple-chatbot/client/javascript/src/app.js index 00dafa6db..f858749ed 100644 --- a/examples/simple-chatbot/client/javascript/src/app.js +++ b/examples/simple-chatbot/client/javascript/src/app.js @@ -29,6 +29,7 @@ class ChatbotClient { this.rtviClient = null; this.setupDOMElements(); this.setupEventListeners(); + this.initializeClientAndTransport(); } /** @@ -57,6 +58,79 @@ class ChatbotClient { this.disconnectBtn.addEventListener('click', () => this.disconnect()); } + /** + * Set up the RTVI client and Daily transport + */ + initializeClientAndTransport() { + // Initialize the RTVI client with a DailyTransport and our configuration + this.rtviClient = new RTVIClient({ + transport: new DailyTransport(), + params: { + // The baseURL and endpoint of your bot server that the client will connect to + baseUrl: 'http://localhost:7860', + endpoints: { + connect: '/connect', + }, + }, + enableMic: true, // Enable microphone for user input + enableCam: false, + callbacks: { + // Handle connection state changes + onConnected: () => { + this.updateStatus('Connected'); + this.connectBtn.disabled = true; + this.disconnectBtn.disabled = false; + this.log('Client connected'); + }, + onDisconnected: () => { + this.updateStatus('Disconnected'); + this.connectBtn.disabled = false; + this.disconnectBtn.disabled = true; + this.log('Client disconnected'); + }, + // Handle transport state changes + onTransportStateChanged: (state) => { + this.updateStatus(`Transport: ${state}`); + this.log(`Transport state changed: ${state}`); + if (state === 'ready') { + this.setupMediaTracks(); + } + }, + // Handle bot connection events + onBotConnected: (participant) => { + this.log(`Bot connected: ${JSON.stringify(participant)}`); + }, + onBotDisconnected: (participant) => { + this.log(`Bot disconnected: ${JSON.stringify(participant)}`); + }, + onBotReady: (data) => { + this.log(`Bot ready: ${JSON.stringify(data)}`); + this.setupMediaTracks(); + }, + // Transcript events + onUserTranscript: (data) => { + // Only log final transcripts + if (data.final) { + this.log(`User: ${data.text}`); + } + }, + onBotTranscript: (data) => { + this.log(`Bot: ${data.text}`); + }, + // Error handling + onMessageError: (error) => { + console.log('Message error:', error); + }, + onError: (error) => { + console.log('Error:', JSON.stringify(error)); + }, + }, + }); + + // Set up listeners for media track events + this.setupTrackListeners(); + } + /** * Add a timestamped message to the debug log */ @@ -181,77 +255,6 @@ class ChatbotClient { */ async connect() { try { - // Create a new Daily transport for WebRTC communication - const transport = new DailyTransport(); - - // Initialize the RTVI client with our configuration - this.rtviClient = new RTVIClient({ - transport, - params: { - // The baseURL and endpoint of your bot server that the client will connect to - baseUrl: 'http://localhost:7860', - endpoints: { - connect: '/connect', - }, - }, - enableMic: true, // Enable microphone for user input - enableCam: false, - callbacks: { - // Handle connection state changes - onConnected: () => { - this.updateStatus('Connected'); - this.connectBtn.disabled = true; - this.disconnectBtn.disabled = false; - this.log('Client connected'); - }, - onDisconnected: () => { - this.updateStatus('Disconnected'); - this.connectBtn.disabled = false; - this.disconnectBtn.disabled = true; - this.log('Client disconnected'); - }, - // Handle transport state changes - onTransportStateChanged: (state) => { - this.updateStatus(`Transport: ${state}`); - this.log(`Transport state changed: ${state}`); - if (state === 'ready') { - this.setupMediaTracks(); - } - }, - // Handle bot connection events - onBotConnected: (participant) => { - this.log(`Bot connected: ${JSON.stringify(participant)}`); - }, - onBotDisconnected: (participant) => { - this.log(`Bot disconnected: ${JSON.stringify(participant)}`); - }, - onBotReady: (data) => { - this.log(`Bot ready: ${JSON.stringify(data)}`); - this.setupMediaTracks(); - }, - // Transcript events - onUserTranscript: (data) => { - // Only log final transcripts - if (data.final) { - this.log(`User: ${data.text}`); - } - }, - onBotTranscript: (data) => { - this.log(`Bot: ${data.text}`); - }, - // Error handling - onMessageError: (error) => { - console.log('Message error:', error); - }, - onError: (error) => { - console.log('Error:', error); - }, - }, - }); - - // Set up listeners for media track events - this.setupTrackListeners(); - // Initialize audio/video devices this.log('Initializing devices...'); await this.rtviClient.initDevices(); @@ -286,7 +289,6 @@ class ChatbotClient { try { // Disconnect the RTVI client await this.rtviClient.disconnect(); - this.rtviClient = null; // Clean up audio if (this.botAudio.srcObject) { diff --git a/examples/simple-chatbot/client/react/package-lock.json b/examples/simple-chatbot/client/react/package-lock.json index 807b0055e..2cd9d99c7 100644 --- a/examples/simple-chatbot/client/react/package-lock.json +++ b/examples/simple-chatbot/client/react/package-lock.json @@ -10,7 +10,7 @@ "dependencies": { "@pipecat-ai/client-js": "^0.3.5", "@pipecat-ai/client-react": "^0.3.5", - "@pipecat-ai/daily-transport": "^0.3.7", + "@pipecat-ai/daily-transport": "^0.3.8", "react": "^18.3.1", "react-dom": "^18.3.1" }, @@ -30,8 +30,6 @@ }, "node_modules/@ampproject/remapping": { "version": "2.3.0", - "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz", - "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==", "dev": true, "license": "Apache-2.0", "dependencies": { @@ -44,8 +42,6 @@ }, "node_modules/@babel/code-frame": { "version": "7.26.2", - "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.2.tgz", - "integrity": "sha512-RJlIHRueQgwWitWgF8OdFYGZX328Ax5BCemNGlqHfplnRT9ESi8JkFlvaVYbS+UubVY6dpv87Fs2u5M29iNFVQ==", "dev": true, "license": "MIT", "dependencies": { @@ -58,9 +54,7 @@ } }, "node_modules/@babel/compat-data": { - "version": "7.26.3", - "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.26.3.tgz", - "integrity": 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-12,7 +12,7 @@ "dependencies": { "@pipecat-ai/client-js": "^0.3.5", "@pipecat-ai/client-react": "^0.3.5", - "@pipecat-ai/daily-transport": "^0.3.7", + "@pipecat-ai/daily-transport": "^0.3.8", "react": "^18.3.1", "react-dom": "^18.3.1" }, diff --git a/examples/simple-chatbot/server/env.example b/examples/simple-chatbot/server/env.example index 0eab9845a..76368a4ab 100644 --- a/examples/simple-chatbot/server/env.example +++ b/examples/simple-chatbot/server/env.example @@ -1,4 +1,5 @@ -DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev) +DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (optional: for joining the bot to the same room repeatedly for local dev) +DAILY_SAMPLE_ROOM_TOKEN=9c8... # (optional: if your room above requires a token) DAILY_API_KEY=7df... OPENAI_API_KEY=sk-PL... GEMINI_API_KEY=AIza... diff --git a/examples/simple-chatbot/server/server.py b/examples/simple-chatbot/server/server.py index 933e34ca6..f3395d37d 100644 --- a/examples/simple-chatbot/server/server.py +++ b/examples/simple-chatbot/server/server.py @@ -111,15 +111,19 @@ async def create_room_and_token() -> tuple[str, str]: Raises: HTTPException: If room creation or token generation fails """ - room = await daily_helpers["rest"].create_room(DailyRoomParams()) - if not room.url: - raise HTTPException(status_code=500, detail="Failed to create room") + room_url = os.getenv("DAILY_SAMPLE_ROOM_URL", None) + token = os.getenv("DAILY_SAMPLE_ROOM_TOKEN", None) + if not room_url: + room = await daily_helpers["rest"].create_room(DailyRoomParams()) + if not room.url: + raise HTTPException(status_code=500, detail="Failed to create room") + room_url = room.url - token = await daily_helpers["rest"].get_token(room.url) - if not token: - raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}") + token = await daily_helpers["rest"].get_token(room_url) + if not token: + raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room_url}") - return room.url, token + return room_url, token @app.get("/")