Merge branch 'main' into vl_feature_websocket_fastapi_timeout
This commit is contained in:
Vaibhav159
7
.github/workflows/format.yaml
vendored
7
.github/workflows/format.yaml
vendored
@@ -35,7 +35,12 @@ jobs:
|
||||
python -m pip install --upgrade pip
|
||||
pip install -r dev-requirements.txt
|
||||
- name: Ruff formatter
|
||||
id: ruff
|
||||
id: ruff-format
|
||||
run: |
|
||||
source .venv/bin/activate
|
||||
ruff format --diff
|
||||
- name: Ruff import linter
|
||||
id: ruff-check
|
||||
run: |
|
||||
source .venv/bin/activate
|
||||
ruff check --select I
|
||||
|
||||
9
.gitignore
vendored
9
.gitignore
vendored
@@ -28,4 +28,11 @@ share/python-wheels/
|
||||
MANIFEST
|
||||
.DS_Store
|
||||
.env
|
||||
fly.toml
|
||||
fly.toml
|
||||
|
||||
# Example files
|
||||
pipecat/examples/twilio-chatbot/templates/streams.xml
|
||||
|
||||
# Documentation
|
||||
docs/api/_build/
|
||||
docs/api/api
|
||||
36
.readthedocs.yaml
Normal file
36
.readthedocs.yaml
Normal file
@@ -0,0 +1,36 @@
|
||||
version: 2
|
||||
|
||||
build:
|
||||
os: ubuntu-22.04
|
||||
tools:
|
||||
python: '3.12'
|
||||
apt_packages:
|
||||
- portaudio19-dev
|
||||
- python3-dev
|
||||
- libasound2-dev
|
||||
jobs:
|
||||
pre_build:
|
||||
- python -m pip install --upgrade pip
|
||||
- pip install wheel setuptools
|
||||
post_build:
|
||||
- echo "Build completed"
|
||||
|
||||
sphinx:
|
||||
configuration: docs/api/conf.py
|
||||
fail_on_warning: false
|
||||
|
||||
python:
|
||||
install:
|
||||
- requirements: docs/api/requirements.txt
|
||||
- method: pip
|
||||
path: .
|
||||
|
||||
search:
|
||||
ranking:
|
||||
api/*: 5
|
||||
getting-started/*: 4
|
||||
guides/*: 3
|
||||
|
||||
submodules:
|
||||
include: all
|
||||
recursive: true
|
||||
255
CHANGELOG.md
255
CHANGELOG.md
@@ -9,23 +9,266 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
|
||||
|
||||
### Added
|
||||
|
||||
- Added support for Google TTS Journey voices in `GoogleTTSService`.
|
||||
|
||||
- Added `29-livekit-audio-chat.py`, as a new foundational examples for
|
||||
`LiveKitTransportLayer`.
|
||||
|
||||
### Fixed
|
||||
|
||||
- Fixed an issue where `OpenAIRealtimeBetaLLMService` audio chunks were hitting
|
||||
an error when truncating audio content.
|
||||
|
||||
## [0.0.52] - 2024-12-24
|
||||
|
||||
### Added
|
||||
|
||||
- Constructor arguments for GoogleLLMService to directly set tools and tool_config.
|
||||
|
||||
- Smart turn detection example (`22d-natural-conversation-gemini-audio.py`) that
|
||||
leverages Gemini 2.0 capabilities ().
|
||||
(see https://x.com/kwindla/status/1870974144831275410)
|
||||
|
||||
- Added `DailyTransport.send_dtmf()` to send dial-out DTMF tones.
|
||||
|
||||
- Added `DailyTransport.sip_call_transfer()` to forward SIP and PSTN calls to
|
||||
another address or number. For example, transfer a SIP call to a different
|
||||
SIP address or transfer a PSTN phone number to a different PSTN phone number.
|
||||
|
||||
- Added `DailyTransport.sip_refer()` to transfer incoming SIP/PSTN calls from
|
||||
outside Daily to another SIP/PSTN address.
|
||||
|
||||
- Added an `auto_mode` input parameter to `ElevenLabsTTSService`. `auto_mode`
|
||||
is set to `True` by default. Enabling this setting disables the chunk
|
||||
schedule and all buffers, which reduces latency.
|
||||
|
||||
- Added `KoalaFilter` which implement on device noise reduction using Koala
|
||||
Noise Suppression.
|
||||
(see https://picovoice.ai/platform/koala/)
|
||||
|
||||
- Added `CerebrasLLMService` for Cerebras integration with an OpenAI-compatible
|
||||
interface. Added foundational example `14k-function-calling-cerebras.py`.
|
||||
|
||||
- Pipecat now supports Python 3.13. We had a dependency on the `audioop` package
|
||||
which was deprecated and now removed on Python 3.13. We are now using
|
||||
`audioop-lts` (https://github.com/AbstractUmbra/audioop) to provide the same
|
||||
functionality.
|
||||
|
||||
- Added timestamped conversation transcript support:
|
||||
|
||||
- New `TranscriptProcessor` factory provides access to user and assistant
|
||||
transcript processors.
|
||||
- `UserTranscriptProcessor` processes user speech with timestamps from
|
||||
transcription.
|
||||
- `AssistantTranscriptProcessor` processes assistant responses with LLM
|
||||
context timestamps.
|
||||
- Messages emitted with ISO 8601 timestamps indicating when they were spoken.
|
||||
- Supports all LLM formats (OpenAI, Anthropic, Google) via standard message
|
||||
format.
|
||||
- New examples: `28a-transcription-processor-openai.py`,
|
||||
`28b-transcription-processor-anthropic.py`, and
|
||||
`28c-transcription-processor-gemini.py`.
|
||||
|
||||
- Add support for more languages to ElevenLabs (Arabic, Croatian, Filipino,
|
||||
Tamil) and PlayHT (Afrikans, Albanian, Amharic, Arabic, Bengali, Croatian,
|
||||
Galician, Hebrew, Mandarin, Serbian, Tagalog, Urdu, Xhosa).
|
||||
|
||||
### Changed
|
||||
|
||||
- `PlayHTTTSService` uses the new v4 websocket API, which also fixes an issue
|
||||
where text inputted to the TTS didn't return audio.
|
||||
|
||||
- The default model for `ElevenLabsTTSService` is now `eleven_flash_v2_5`.
|
||||
|
||||
- `OpenAIRealtimeBetaLLMService` now takes a `model` parameter in the
|
||||
constructor.
|
||||
|
||||
- Updated the default model for the `OpenAIRealtimeBetaLLMService`.
|
||||
|
||||
- Room expiration (`exp`) in `DailyRoomProperties` is now optional (`None`) by
|
||||
default instead of automatically setting a 5-minute expiration time. You must
|
||||
explicitly set expiration time if desired.
|
||||
|
||||
### Deprecated
|
||||
|
||||
- `AWSTTSService` is now deprecated, use `PollyTTSService` instead.
|
||||
|
||||
### Fixed
|
||||
|
||||
- Fixed token counting in `GoogleLLMService`. Tokens were summed incorrectly
|
||||
(double-counted in many cases).
|
||||
|
||||
- Fixed an issue that could cause the bot to stop talking if there was a user
|
||||
interruption before getting any audio from the TTS service.
|
||||
|
||||
- Fixed an issue that would cause `ParallelPipeline` to handle `EndFrame`
|
||||
incorrectly causing the main pipeline to not terminate or terminate too early.
|
||||
|
||||
- Fixed an audio stuttering issue in `FastPitchTTSService`.
|
||||
|
||||
- Fixed a `BaseOutputTransport` issue that was causing non-audio frames being
|
||||
processed before the previous audio frames were played. This will allow, for
|
||||
example, sending a frame `A` after a `TTSSpeakFrame` and the frame `A` will
|
||||
only be pushed downstream after the audio generated from `TTSSpeakFrame` has
|
||||
been spoken.
|
||||
|
||||
- Fixed a `DeepgramSTTService` issue that was causing language to be passed as
|
||||
an object instead of a string resulting in the connection to fail.
|
||||
|
||||
## [0.0.51] - 2024-12-16
|
||||
|
||||
### Fixed
|
||||
|
||||
- Fixed an issue in websocket-based TTS services that was causing infinite
|
||||
reconnections (Cartesia, ElevenLabs, PlayHT and LMNT).
|
||||
|
||||
## [0.0.50] - 2024-12-11
|
||||
|
||||
### Added
|
||||
|
||||
- Added `GeminiMultimodalLiveLLMService`. This is an integration for Google's
|
||||
Gemini Multimodal Live API, supporting:
|
||||
|
||||
- Real-time audio and video input processing
|
||||
- Streaming text responses with TTS
|
||||
- Audio transcription for both user and bot speech
|
||||
- Function calling
|
||||
- System instructions and context management
|
||||
- Dynamic parameter updates (temperature, top_p, etc.)
|
||||
|
||||
- Added `AudioTranscriber` utility class for handling audio transcription with
|
||||
Gemini models.
|
||||
|
||||
- Added new context classes for Gemini:
|
||||
|
||||
- `GeminiMultimodalLiveContext`
|
||||
- `GeminiMultimodalLiveUserContextAggregator`
|
||||
- `GeminiMultimodalLiveAssistantContextAggregator`
|
||||
- `GeminiMultimodalLiveContextAggregatorPair`
|
||||
|
||||
- Added new foundational examples for `GeminiMultimodalLiveLLMService`:
|
||||
|
||||
- `26-gemini-multimodal-live.py`
|
||||
- `26a-gemini-multimodal-live-transcription.py`
|
||||
- `26b-gemini-multimodal-live-video.py`
|
||||
- `26c-gemini-multimodal-live-video.py`
|
||||
|
||||
- Added `SimliVideoService`. This is an integration for Simli AI avatars.
|
||||
(see https://www.simli.com)
|
||||
|
||||
- Added NVIDIA Riva's `FastPitchTTSService` and `ParakeetSTTService`.
|
||||
(see https://www.nvidia.com/en-us/ai-data-science/products/riva/)
|
||||
|
||||
- Added `IdentityFilter`. This is the simplest frame filter that lets through
|
||||
all incoming frames.
|
||||
|
||||
- New `STTMuteStrategy` called `FUNCTION_CALL` which mutes the STT service
|
||||
during LLM function calls.
|
||||
|
||||
- `DeepgramSTTService` now exposes two event handlers `on_speech_started` and
|
||||
`on_utterance_end` that could be used to implement interruptions. See new
|
||||
example `examples/foundational/07c-interruptible-deepgram-vad.py`.
|
||||
|
||||
- Added `GroqLLMService`, `GrokLLMService`, and `NimLLMService` for Groq, Grok,
|
||||
and NVIDIA NIM API integration, with an OpenAI-compatible interface.
|
||||
|
||||
- New examples demonstrating function calling with Groq, Grok, Azure OpenAI,
|
||||
Fireworks, and NVIDIA NIM: `14f-function-calling-groq.py`,
|
||||
`14g-function-calling-grok.py`, `14h-function-calling-azure.py`,
|
||||
`14i-function-calling-fireworks.py`, and `14j-function-calling-nvidia.py`.
|
||||
|
||||
- In order to obtain the audio stored by the `AudioBufferProcessor` you can now
|
||||
also register an `on_audio_data` event handler. The `on_audio_data` handler
|
||||
will be called every time `buffer_size` (a new constructor argument) is
|
||||
reached. If `buffer_size` is 0 (default) you need to manually get the audio as
|
||||
before using `AudioBufferProcessor.merge_audio_buffers()`.
|
||||
|
||||
```
|
||||
@audiobuffer.event_handler("on_audio_data")
|
||||
async def on_audio_data(processor, audio, sample_rate, num_channels):
|
||||
await save_audio(audio, sample_rate, num_channels)
|
||||
```
|
||||
|
||||
- Added a new RTVI message called `disconnect-bot`, which when handled pushes
|
||||
an `EndFrame` to trigger the pipeline to stop.
|
||||
|
||||
- Added support for the new Pipecat Flows package (pipecat-ai-flows). Learn
|
||||
more at: https://github.com/pipecat-ai/pipecat-flows.
|
||||
|
||||
- Added foundational example `25-conversation-flow.py` showing how to use
|
||||
Pipecat Flows.
|
||||
|
||||
### Changed
|
||||
|
||||
- `STTMuteFilter` now supports multiple simultaneous muting strategies.
|
||||
|
||||
- `XTTSService` language now defaults to `Language.EN`.
|
||||
|
||||
- `SoundfileMixer` doesn't resample input files anymore to avoid startup
|
||||
delays. The sample rate of the provided sound files now need to match the
|
||||
sample rate of the output transport.
|
||||
|
||||
- Input frames (audio, image and transport messages) are now system frames. This
|
||||
means they are processed immediately by all processors instead of being queued
|
||||
internally.
|
||||
|
||||
- Expanded the transcriptions.language module to support a superset of
|
||||
languages.
|
||||
|
||||
- Updated STT and TTS services with language options that match the supported
|
||||
languages for each service.
|
||||
|
||||
- Updated the `AzureLLMService` to use the `OpenAILLMService`. Updated the
|
||||
`api_version` to `2024-09-01-preview`.
|
||||
|
||||
- Updated the `FireworksLLMService` to use the `OpenAILLMService`. Updated the
|
||||
default model to `accounts/fireworks/models/firefunction-v2`.
|
||||
|
||||
- Updated the `simple-chatbot` example to include a Javascript and React client
|
||||
example, using RTVI JS and React.
|
||||
|
||||
### Removed
|
||||
|
||||
- Removed `AppFrame`. This was used as a special user custom frame, but there's
|
||||
actually no use case for that.
|
||||
|
||||
### Fixed
|
||||
|
||||
- Fixed a `ParallelPipeline` issue that would cause system frames to be queued.
|
||||
|
||||
- Fixed `FastAPIWebsocketTransport` so it can work with binary data (e.g. using
|
||||
the protobuf serializer).
|
||||
|
||||
- Fixed an issue in `CartesiaTTSService` that could cause previous audio to be
|
||||
received after an interruption.
|
||||
|
||||
- Fixed Cartesia, ElevenLabs, LMNT and PlayHT TTS websocket
|
||||
reconnection. Before, if an error occurred no reconnection was happening.
|
||||
|
||||
- Fixed a `BaseOutputTransport` issue that was causing audio to be discarded
|
||||
after an `EndFrame` was received.
|
||||
|
||||
- Fixed an issue in `WebsocketServerTransport` and `FastAPIWebsocketTransport`
|
||||
that would cause a busy loop when using audio mixer.
|
||||
|
||||
- Fixed a `DailyTransport` and `LiveKitTransport` issue where connections were
|
||||
being closed in the input transport prematurely. This was causing frames
|
||||
queued inside the pipeline being discarded.
|
||||
|
||||
- Fixed an issue in `DailyTransport` that would cause some internal callbacks to
|
||||
not be executed.
|
||||
|
||||
- Fixed an issue where other frames were being processed while a `CancelFrame`
|
||||
was being pushed down the pipeline.
|
||||
|
||||
- `AudioBufferProcessor` now handles interruptions properly.
|
||||
|
||||
- Fixed a `WebsocketServerTransport` issue that would prevent interruptions with
|
||||
`TwilioSerializer` from working.
|
||||
|
||||
- `DailyTransport.capture_participant_video` now allows capturing user's screen
|
||||
share by simply passing `video_source="screenVideo"`.
|
||||
|
||||
- Fixed Google Gemini message handling to properly convert appended messages to
|
||||
Gemini's required format.
|
||||
|
||||
- Fixed an issue with `FireworksLLMService` where chat completions were failing
|
||||
by removing the `stream_options` from the chat completion options.
|
||||
|
||||
## [0.0.49] - 2024-11-17
|
||||
|
||||
### Added
|
||||
|
||||
2
LICENSE
2
LICENSE
@@ -1,6 +1,6 @@
|
||||
BSD 2-Clause License
|
||||
|
||||
Copyright (c) 2024, Daily
|
||||
Copyright (c) 2025, Daily
|
||||
|
||||
Redistribution and use in source and binary forms, with or without
|
||||
modification, are permitted provided that the following conditions are met:
|
||||
|
||||
44
README.md
44
README.md
@@ -2,7 +2,7 @@
|
||||
<img alt="pipecat" width="300px" height="auto" src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/pipecat.png">
|
||||
</div></h1>
|
||||
|
||||
[](https://pypi.org/project/pipecat-ai) [](https://discord.gg/pipecat) <a href="https://app.commanddash.io/agent/github_pipecat-ai_pipecat"><img src="https://img.shields.io/badge/AI-Code%20Agent-EB9FDA"></a>
|
||||
[](https://pypi.org/project/pipecat-ai) [](https://docs.pipecat.ai) [](https://discord.gg/pipecat) <a href="https://app.commanddash.io/agent/github_pipecat-ai_pipecat"><img src="https://img.shields.io/badge/AI-Code%20Agent-EB9FDA"></a>
|
||||
|
||||
Pipecat is an open source Python framework for building voice and multimodal conversational agents. It handles the complex orchestration of AI services, network transport, audio processing, and multimodal interactions, letting you focus on creating engaging experiences.
|
||||
|
||||
@@ -13,6 +13,7 @@ Pipecat is an open source Python framework for building voice and multimodal con
|
||||
- **Multimodal Apps**: Combine voice, video, images, and text
|
||||
- **Creative Tools**: [Story-telling experiences](https://storytelling-chatbot.fly.dev/) and social companions
|
||||
- **Business Solutions**: [Customer intake flows](https://www.youtube.com/watch?v=lDevgsp9vn0) and support bots
|
||||
- **Complex conversational flows**: [Refer to Pipecat Flows](https://github.com/pipecat-ai/pipecat-flows) to learn more
|
||||
|
||||
## See it in action
|
||||
|
||||
@@ -32,6 +33,8 @@ Pipecat is an open source Python framework for building voice and multimodal con
|
||||
- **Real-time Processing**: Frame-based pipeline architecture for fluid interactions
|
||||
- **Production Ready**: Enterprise-grade WebRTC and Websocket support
|
||||
|
||||
💡 Looking to build structured conversations? Check out [Pipecat Flows](https://github.com/pipecat-ai/pipecat-flows) for managing complex conversational states and transitions.
|
||||
|
||||
## Getting started
|
||||
|
||||
You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you’re ready. You can also add a 📞 telephone number, 🖼️ image output, 📺 video input, use different LLMs, and more.
|
||||
@@ -52,19 +55,19 @@ pip install "pipecat-ai[option,...]"
|
||||
|
||||
Available options include:
|
||||
|
||||
| Category | Services | Install Command Example |
|
||||
| ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
|
||||
| Speech-to-Text | [AssemblyAI](https://docs.pipecat.ai/api-reference/services/stt/assemblyai), [Azure](https://docs.pipecat.ai/api-reference/services/stt/azure), [Deepgram](https://docs.pipecat.ai/api-reference/services/stt/deepgram), [Gladia](https://docs.pipecat.ai/api-reference/services/stt/gladia), [Whisper](https://docs.pipecat.ai/api-reference/services/stt/whisper) | `pip install "pipecat-ai[deepgram]"` |
|
||||
| LLMs | [Anthropic](https://docs.pipecat.ai/api-reference/services/llm/anthropic), [Azure](https://docs.pipecat.ai/api-reference/services/llm/azure), [Fireworks AI](https://docs.pipecat.ai/api-reference/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/api-reference/services/llm/gemini), [Ollama](https://docs.pipecat.ai/api-reference/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/api-reference/services/llm/openai), [Together AI](https://docs.pipecat.ai/api-reference/services/llm/together) | `pip install "pipecat-ai[openai]"` |
|
||||
| Text-to-Speech | [AWS](https://docs.pipecat.ai/api-reference/services/tts/aws), [Azure](https://docs.pipecat.ai/api-reference/services/tts/azure), [Cartesia](https://docs.pipecat.ai/api-reference/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/api-reference/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/api-reference/services/tts/elevenlabs), [Google](https://docs.pipecat.ai/api-reference/services/tts/google), [LMNT](https://docs.pipecat.ai/api-reference/services/tts/lmnt), [OpenAI](https://docs.pipecat.ai/api-reference/services/tts/openai), [PlayHT](https://docs.pipecat.ai/api-reference/services/tts/playht), [Rime](https://docs.pipecat.ai/api-reference/services/tts/rime), [XTTS](https://docs.pipecat.ai/api-reference/services/tts/xtts) | `pip install "pipecat-ai[cartesia]"` |
|
||||
| Speech-to-Speech | [OpenAI Realtime](https://docs.pipecat.ai/api-reference/services/s2s/openai) | `pip install "pipecat-ai[openai]"` |
|
||||
| Transport | [Daily (WebRTC)](https://docs.pipecat.ai/api-reference/services/transport/daily), WebSocket, Local | `pip install "pipecat-ai[daily]"` |
|
||||
| Video | [Tavus](https://docs.pipecat.ai/api-reference/services/video/tavus) | `pip install "pipecat-ai[tavus]"` |
|
||||
| Vision & Image | [Moondream](https://docs.pipecat.ai/api-reference/services/vision/moondream), [fal](https://docs.pipecat.ai/api-reference/services/image-generation/fal) | `pip install "pipecat-ai[moondream]"` |
|
||||
| Audio Processing | [Silero VAD](https://docs.pipecat.ai/api-reference/utilities/audio/silero-vad-analyzer), [Krisp](https://docs.pipecat.ai/api-reference/utilities/audio/krisp-filter), [Noisereduce](https://docs.pipecat.ai/api-reference/utilities/audio/noisereduce-filter) | `pip install "pipecat-ai[silero]"` |
|
||||
| Analytics & Metrics | [Canonical AI](https://docs.pipecat.ai/api-reference/services/analytics/canonical), [Sentry](https://docs.pipecat.ai/api-reference/services/analytics/sentry) | `pip install "pipecat-ai[canonical]"` |
|
||||
| Category | Services | Install Command Example |
|
||||
| ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------- |
|
||||
| Speech-to-Text | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [Gladia](https://docs.pipecat.ai/server/services/stt/gladia), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper) | `pip install "pipecat-ai[deepgram]"` |
|
||||
| LLMs | [Anthropic](https://docs.pipecat.ai/server/services/llm/anthropic), [Azure](https://docs.pipecat.ai/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/server/services/llm/cerebras), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [Together AI](https://docs.pipecat.ai/server/services/llm/together) | `pip install "pipecat-ai[openai]"` |
|
||||
| Text-to-Speech | [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) | `pip install "pipecat-ai[cartesia]"` |
|
||||
| Speech-to-Speech | [Gemini Multimodal Live](https://docs.pipecat.ai/server/services/s2s/gemini), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai) | `pip install "pipecat-ai[openai]"` |
|
||||
| Transport | [Daily (WebRTC)](https://docs.pipecat.ai/server/services/transport/daily), WebSocket, Local | `pip install "pipecat-ai[daily]"` |
|
||||
| Video | [Tavus](https://docs.pipecat.ai/server/services/video/tavus), [Simli](https://docs.pipecat.ai/server/services/video/simli) | `pip install "pipecat-ai[tavus,simli]"` |
|
||||
| Vision & Image | [Moondream](https://docs.pipecat.ai/server/services/vision/moondream), [fal](https://docs.pipecat.ai/server/services/image-generation/fal) | `pip install "pipecat-ai[moondream]"` |
|
||||
| Audio Processing | [Silero VAD](https://docs.pipecat.ai/server/utilities/audio/silero-vad-analyzer), [Krisp](https://docs.pipecat.ai/server/utilities/audio/krisp-filter), [Koala](https://docs.pipecat.ai/server/utilities/audio/koala-filter), [Noisereduce](https://docs.pipecat.ai/server/utilities/audio/noisereduce-filter) | `pip install "pipecat-ai[silero]"` |
|
||||
| Analytics & Metrics | [Canonical AI](https://docs.pipecat.ai/server/services/analytics/canonical), [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry) | `pip install "pipecat-ai[canonical]"` |
|
||||
|
||||
📚 [View full services documentation →](https://docs.pipecat.ai/api-reference/services/supported-services)
|
||||
📚 [View full services documentation →](https://docs.pipecat.ai/server/services/supported-services)
|
||||
|
||||
## Code examples
|
||||
|
||||
@@ -194,9 +197,7 @@ You can use [use-package](https://github.com/jwiegley/use-package) to install [e
|
||||
:hook ((python-mode . lazy-ruff-mode))
|
||||
:config
|
||||
(setq lazy-ruff-format-command "ruff format")
|
||||
(setq lazy-ruff-only-format-block t)
|
||||
(setq lazy-ruff-only-format-region t)
|
||||
(setq lazy-ruff-only-format-buffer t))
|
||||
(setq lazy-ruff-check-command "ruff check --select I"))
|
||||
```
|
||||
|
||||
`ruff` was installed in the `venv` environment described before, so you should be able to use [pyvenv-auto](https://github.com/ryotaro612/pyvenv-auto) to automatically load that environment inside Emacs.
|
||||
@@ -206,7 +207,6 @@ You can use [use-package](https://github.com/jwiegley/use-package) to install [e
|
||||
:ensure t
|
||||
:defer t
|
||||
:hook ((python-mode . pyvenv-auto-run)))
|
||||
|
||||
```
|
||||
|
||||
### Visual Studio Code
|
||||
@@ -221,6 +221,16 @@ Install the
|
||||
}
|
||||
```
|
||||
|
||||
### PyCharm
|
||||
|
||||
`ruff` was installed in the `venv` environment described before, now to enable autoformatting on save, go to `File` -> `Settings` -> `Tools` -> `File Watchers` and add a new watcher with the following settings:
|
||||
|
||||
1. **Name**: `Ruff formatter`
|
||||
2. **File type**: `Python`
|
||||
3. **Working directory**: `$ContentRoot$`
|
||||
4. **Arguments**: `format $FilePath$`
|
||||
5. **Program**: `$PyInterpreterDirectory$/ruff`
|
||||
|
||||
## Contributing
|
||||
|
||||
We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:
|
||||
|
||||
@@ -1,8 +1,9 @@
|
||||
build~=1.2.1
|
||||
grpcio-tools~=1.62.2
|
||||
build~=1.2.2
|
||||
grpcio-tools~=1.68.1
|
||||
pip-tools~=7.4.1
|
||||
pyright~=1.1.376
|
||||
pytest~=8.3.2
|
||||
ruff~=0.6.7
|
||||
setuptools~=72.2.0
|
||||
pyright~=1.1.390
|
||||
pytest~=8.3.4
|
||||
ruff~=0.8.3
|
||||
setuptools~=75.6.0
|
||||
setuptools_scm~=8.1.0
|
||||
python-dotenv~=1.0.1
|
||||
|
||||
20
docs/api/Makefile
Normal file
20
docs/api/Makefile
Normal file
@@ -0,0 +1,20 @@
|
||||
# Minimal makefile for Sphinx documentation
|
||||
#
|
||||
|
||||
# You can set these variables from the command line, and also
|
||||
# from the environment for the first two.
|
||||
SPHINXOPTS ?=
|
||||
SPHINXBUILD ?= sphinx-build
|
||||
SOURCEDIR = .
|
||||
BUILDDIR = _build
|
||||
|
||||
# Put it first so that "make" without argument is like "make help".
|
||||
help:
|
||||
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
|
||||
|
||||
.PHONY: help Makefile
|
||||
|
||||
# Catch-all target: route all unknown targets to Sphinx using the new
|
||||
# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
|
||||
%: Makefile
|
||||
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
|
||||
109
docs/api/README.md
Normal file
109
docs/api/README.md
Normal file
@@ -0,0 +1,109 @@
|
||||
# Pipecat Documentation
|
||||
|
||||
This directory contains the source files for auto-generating Pipecat's server API reference documentation.
|
||||
|
||||
## Setup
|
||||
|
||||
1. Install documentation dependencies:
|
||||
|
||||
```bash
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
|
||||
2. Make the build scripts executable:
|
||||
|
||||
```bash
|
||||
chmod +x build-docs.sh rtd-test.py
|
||||
```
|
||||
|
||||
## Building Documentation
|
||||
|
||||
From this directory, you can build the documentation in several ways:
|
||||
|
||||
### Local Build
|
||||
|
||||
```bash
|
||||
# Using the build script (automatically opens docs when done)
|
||||
./build-docs.sh
|
||||
|
||||
# Or directly with sphinx-build
|
||||
sphinx-build -b html . _build/html -W --keep-going
|
||||
```
|
||||
|
||||
### ReadTheDocs Test Build
|
||||
|
||||
To test the documentation build process exactly as it would run on ReadTheDocs:
|
||||
|
||||
```bash
|
||||
./rtd-test.py
|
||||
```
|
||||
|
||||
This script:
|
||||
|
||||
- Creates a fresh virtual environment
|
||||
- Installs all dependencies as specified in requirements files
|
||||
- Handles conflicting dependencies (like grpcio versions for Riva and PlayHT)
|
||||
- Builds the documentation in an isolated environment
|
||||
- Provides detailed logging of the build process
|
||||
|
||||
Use this script to verify your documentation will build correctly on ReadTheDocs before pushing changes.
|
||||
|
||||
## Viewing Documentation
|
||||
|
||||
The built documentation will be available at `_build/html/index.html`. To open:
|
||||
|
||||
```bash
|
||||
# On MacOS
|
||||
open _build/html/index.html
|
||||
|
||||
# On Linux
|
||||
xdg-open _build/html/index.html
|
||||
|
||||
# On Windows
|
||||
start _build/html/index.html
|
||||
```
|
||||
|
||||
## Directory Structure
|
||||
|
||||
```
|
||||
.
|
||||
├── api/ # Auto-generated API documentation
|
||||
├── _build/ # Built documentation
|
||||
├── _static/ # Static files (images, css, etc.)
|
||||
├── conf.py # Sphinx configuration
|
||||
├── index.rst # Main documentation entry point
|
||||
├── requirements-base.txt # Base documentation dependencies
|
||||
├── requirements-riva.txt # Riva-specific dependencies
|
||||
├── requirements-playht.txt # PlayHT-specific dependencies
|
||||
├── build-docs.sh # Local build script
|
||||
└── rtd-test.py # ReadTheDocs test build script
|
||||
```
|
||||
|
||||
## Notes
|
||||
|
||||
- Documentation is auto-generated from Python docstrings
|
||||
- Service modules are automatically detected and included
|
||||
- The build process matches our ReadTheDocs configuration
|
||||
- Warnings are treated as errors (-W flag) to maintain consistency
|
||||
- The --keep-going flag ensures all errors are reported
|
||||
- Dependencies are split into multiple requirements files to handle version conflicts
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
If you encounter missing service modules:
|
||||
|
||||
1. Verify the service is installed with its extras: `pip install pipecat-ai[service-name]`
|
||||
2. Check the build logs for import errors
|
||||
3. Ensure the service module is properly initialized in the package
|
||||
4. Run `./rtd-test.py` to test in an isolated environment matching ReadTheDocs
|
||||
|
||||
For dependency conflicts:
|
||||
|
||||
1. Check the requirements files for version specifications
|
||||
2. Use `rtd-test.py` to verify dependency resolution
|
||||
3. Consider adding service-specific requirements files if needed
|
||||
|
||||
For more information:
|
||||
|
||||
- [ReadTheDocs Configuration](.readthedocs.yaml)
|
||||
- [Sphinx Documentation](https://www.sphinx-doc.org/)
|
||||
10
docs/api/build-docs.sh
Executable file
10
docs/api/build-docs.sh
Executable file
@@ -0,0 +1,10 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Clean previous build
|
||||
rm -rf _build
|
||||
|
||||
# Build docs matching ReadTheDocs configuration
|
||||
sphinx-build -b html -d _build/doctrees . _build/html -W --keep-going
|
||||
|
||||
# Open docs (MacOS)
|
||||
open _build/html/index.html
|
||||
252
docs/api/conf.py
Normal file
252
docs/api/conf.py
Normal file
@@ -0,0 +1,252 @@
|
||||
import logging
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
# Configure logging
|
||||
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
|
||||
logger = logging.getLogger("sphinx-build")
|
||||
|
||||
# Add source directory to path
|
||||
docs_dir = Path(__file__).parent
|
||||
project_root = docs_dir.parent.parent
|
||||
sys.path.insert(0, str(project_root / "src"))
|
||||
|
||||
# Project information
|
||||
project = "pipecat-ai"
|
||||
copyright = "2024, Daily"
|
||||
author = "Daily"
|
||||
|
||||
# General configuration
|
||||
extensions = [
|
||||
"sphinx.ext.autodoc",
|
||||
"sphinx.ext.napoleon",
|
||||
"sphinx.ext.viewcode",
|
||||
"sphinx.ext.intersphinx",
|
||||
]
|
||||
|
||||
# Napoleon settings
|
||||
napoleon_google_docstring = True
|
||||
napoleon_numpy_docstring = False
|
||||
napoleon_include_init_with_doc = True
|
||||
|
||||
# AutoDoc settings
|
||||
autodoc_default_options = {
|
||||
"members": True,
|
||||
"member-order": "bysource",
|
||||
"special-members": "__init__",
|
||||
"undoc-members": True,
|
||||
"exclude-members": "__weakref__",
|
||||
"no-index": True,
|
||||
"show-inheritance": True,
|
||||
}
|
||||
|
||||
# Mock imports for optional dependencies
|
||||
autodoc_mock_imports = [
|
||||
"riva",
|
||||
"livekit",
|
||||
"pyht", # Base PlayHT package
|
||||
"pyht.async_client", # PlayHT specific imports
|
||||
"pyht.client",
|
||||
"pyht.protos",
|
||||
"pyht.protos.api_pb2",
|
||||
"pipecat_ai_playht", # PlayHT wrapper
|
||||
"anthropic",
|
||||
"assemblyai",
|
||||
"boto3",
|
||||
"azure",
|
||||
"cartesia",
|
||||
"deepgram",
|
||||
"elevenlabs",
|
||||
"fal",
|
||||
"gladia",
|
||||
"google",
|
||||
"krisp",
|
||||
"langchain",
|
||||
"lmnt",
|
||||
"noisereduce",
|
||||
"openai",
|
||||
"openpipe",
|
||||
"simli",
|
||||
"soundfile",
|
||||
# Existing mocks
|
||||
"pipecat_ai_krisp",
|
||||
"pyaudio",
|
||||
"_tkinter",
|
||||
"tkinter",
|
||||
"daily",
|
||||
"daily_python",
|
||||
"pydantic.BaseModel",
|
||||
"pydantic.Field",
|
||||
"pydantic._internal._model_construction",
|
||||
"pydantic._internal._fields",
|
||||
]
|
||||
|
||||
# HTML output settings
|
||||
html_theme = "sphinx_rtd_theme"
|
||||
html_static_path = ["_static"]
|
||||
autodoc_typehints = "description"
|
||||
html_show_sphinx = False
|
||||
|
||||
|
||||
def verify_modules():
|
||||
"""Verify that required modules are available."""
|
||||
required_modules = {
|
||||
"services": [
|
||||
"assemblyai",
|
||||
"aws",
|
||||
"cartesia",
|
||||
"deepgram",
|
||||
"google",
|
||||
"lmnt",
|
||||
"riva",
|
||||
"simli",
|
||||
],
|
||||
"serializers": ["livekit"],
|
||||
"vad": ["silero", "vad_analyzer"],
|
||||
"transports": {
|
||||
"services": ["daily", "livekit"],
|
||||
"local": ["audio", "tk"],
|
||||
"network": ["fastapi_websocket", "websocket_server"],
|
||||
},
|
||||
}
|
||||
|
||||
missing = []
|
||||
for category, modules in required_modules.items():
|
||||
if isinstance(modules, dict):
|
||||
# Handle nested structure
|
||||
for subcategory, submodules in modules.items():
|
||||
for module in submodules:
|
||||
try:
|
||||
__import__(f"pipecat.{category}.{subcategory}.{module}")
|
||||
logger.info(
|
||||
f"Successfully imported pipecat.{category}.{subcategory}.{module}"
|
||||
)
|
||||
except (ImportError, TypeError, NameError) as e:
|
||||
missing.append(f"pipecat.{category}.{subcategory}.{module}")
|
||||
logger.warning(
|
||||
f"Optional module not available: pipecat.{category}.{subcategory}.{module} - {str(e)}"
|
||||
)
|
||||
else:
|
||||
# Handle flat structure
|
||||
for module in modules:
|
||||
try:
|
||||
__import__(f"pipecat.{category}.{module}")
|
||||
logger.info(f"Successfully imported pipecat.{category}.{module}")
|
||||
except (ImportError, TypeError, NameError) as e:
|
||||
missing.append(f"pipecat.{category}.{module}")
|
||||
logger.warning(
|
||||
f"Optional module not available: pipecat.{category}.{module} - {str(e)}"
|
||||
)
|
||||
|
||||
if missing:
|
||||
logger.warning(f"Some optional modules are not available: {missing}")
|
||||
|
||||
|
||||
def clean_title(title: str) -> str:
|
||||
"""Automatically clean module titles."""
|
||||
# Remove everything after space (like 'module', 'processor', etc.)
|
||||
title = title.split(" ")[0]
|
||||
|
||||
# Get the last part of the dot-separated path
|
||||
parts = title.split(".")
|
||||
title = parts[-1]
|
||||
|
||||
# Special cases for service names and common acronyms
|
||||
special_cases = {
|
||||
"ai": "AI",
|
||||
"aws": "AWS",
|
||||
"api": "API",
|
||||
"vad": "VAD",
|
||||
"assemblyai": "AssemblyAI",
|
||||
"deepgram": "Deepgram",
|
||||
"elevenlabs": "ElevenLabs",
|
||||
"openai": "OpenAI",
|
||||
"openpipe": "OpenPipe",
|
||||
"playht": "PlayHT",
|
||||
"xtts": "XTTS",
|
||||
"lmnt": "LMNT",
|
||||
}
|
||||
|
||||
# Check if the entire title is a special case
|
||||
if title.lower() in special_cases:
|
||||
return special_cases[title.lower()]
|
||||
|
||||
# Otherwise, capitalize each word
|
||||
words = title.split("_")
|
||||
cleaned_words = []
|
||||
for word in words:
|
||||
if word.lower() in special_cases:
|
||||
cleaned_words.append(special_cases[word.lower()])
|
||||
else:
|
||||
cleaned_words.append(word.capitalize())
|
||||
|
||||
return " ".join(cleaned_words)
|
||||
|
||||
|
||||
def setup(app):
|
||||
"""Generate API documentation during Sphinx build."""
|
||||
from sphinx.ext.apidoc import main
|
||||
|
||||
docs_dir = Path(__file__).parent
|
||||
project_root = docs_dir.parent.parent
|
||||
output_dir = str(docs_dir / "api")
|
||||
source_dir = str(project_root / "src" / "pipecat")
|
||||
|
||||
# Clean existing files
|
||||
if Path(output_dir).exists():
|
||||
import shutil
|
||||
|
||||
shutil.rmtree(output_dir)
|
||||
logger.info(f"Cleaned existing documentation in {output_dir}")
|
||||
|
||||
logger.info(f"Generating API documentation...")
|
||||
logger.info(f"Output directory: {output_dir}")
|
||||
logger.info(f"Source directory: {source_dir}")
|
||||
|
||||
excludes = [
|
||||
str(project_root / "src/pipecat/pipeline/to_be_updated"),
|
||||
str(project_root / "src/pipecat/processors/gstreamer"),
|
||||
str(project_root / "src/pipecat/services/to_be_updated"),
|
||||
str(project_root / "src/pipecat/vad"), # deprecated
|
||||
"**/test_*.py",
|
||||
"**/tests/*.py",
|
||||
]
|
||||
|
||||
try:
|
||||
main(
|
||||
[
|
||||
"-f", # Force overwriting
|
||||
"-e", # Don't generate empty files
|
||||
"-M", # Put module documentation before submodule documentation
|
||||
"--no-toc", # Don't create a table of contents file
|
||||
"--separate", # Put documentation for each module in its own page
|
||||
"--module-first", # Module documentation before submodule documentation
|
||||
"--implicit-namespaces", # Added: Handle implicit namespace packages
|
||||
"-o",
|
||||
output_dir,
|
||||
source_dir,
|
||||
]
|
||||
+ excludes
|
||||
)
|
||||
|
||||
logger.info("API documentation generated successfully!")
|
||||
|
||||
# Process generated RST files to update titles
|
||||
for rst_file in Path(output_dir).glob("**/*.rst"): # Changed to recursive glob
|
||||
content = rst_file.read_text()
|
||||
lines = content.split("\n")
|
||||
|
||||
# Find and clean up the title
|
||||
if lines and "=" in lines[1]: # Title is typically the first line
|
||||
old_title = lines[0]
|
||||
new_title = clean_title(old_title)
|
||||
content = content.replace(old_title, new_title)
|
||||
rst_file.write_text(content)
|
||||
logger.info(f"Updated title: {old_title} -> {new_title}")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error generating API documentation: {e}", exc_info=True)
|
||||
|
||||
|
||||
# Run module verification
|
||||
verify_modules()
|
||||
77
docs/api/index.rst
Normal file
77
docs/api/index.rst
Normal file
@@ -0,0 +1,77 @@
|
||||
Pipecat API Reference Docs
|
||||
==========================
|
||||
|
||||
Welcome to Pipecat's API reference documentation!
|
||||
|
||||
Pipecat is an open source framework for building voice and multimodal assistants.
|
||||
It provides a flexible pipeline architecture for connecting various AI services,
|
||||
audio processing, and transport layers.
|
||||
|
||||
Quick Links
|
||||
-----------
|
||||
|
||||
* `GitHub Repository <https://github.com/pipecat-ai/pipecat>`_
|
||||
* `Website <https://pipecat.ai>`_
|
||||
|
||||
API Reference
|
||||
-------------
|
||||
|
||||
Core Components
|
||||
~~~~~~~~~~~~~~~
|
||||
|
||||
* :mod:`Frames <pipecat.frames>`
|
||||
* :mod:`Processors <pipecat.processors>`
|
||||
* :mod:`Pipeline <pipecat.pipeline>`
|
||||
|
||||
Audio Processing
|
||||
~~~~~~~~~~~~~~~~
|
||||
|
||||
* :mod:`Audio <pipecat.audio>`
|
||||
|
||||
Services
|
||||
~~~~~~~~
|
||||
|
||||
* :mod:`Services <pipecat.services>`
|
||||
|
||||
Transport & Serialization
|
||||
~~~~~~~~~~~~~~~~~~~~~~~~~
|
||||
|
||||
* :mod:`Transports <pipecat.transports>`
|
||||
* :mod:`Local <pipecat.transports.local>`
|
||||
* :mod:`Network <pipecat.transports.network>`
|
||||
* :mod:`Services <pipecat.transports.services>`
|
||||
* :mod:`Serializers <pipecat.serializers>`
|
||||
|
||||
Utilities
|
||||
~~~~~~~~~
|
||||
|
||||
* :mod:`Clocks <pipecat.clocks>`
|
||||
* :mod:`Metrics <pipecat.metrics>`
|
||||
* :mod:`Sync <pipecat.sync>`
|
||||
* :mod:`Transcriptions <pipecat.transcriptions>`
|
||||
* :mod:`Utils <pipecat.utils>`
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 3
|
||||
:caption: API Reference
|
||||
:hidden:
|
||||
|
||||
Audio <api/pipecat.audio>
|
||||
Clocks <api/pipecat.clocks>
|
||||
Frames <api/pipecat.frames>
|
||||
Metrics <api/pipecat.metrics>
|
||||
Pipeline <api/pipecat.pipeline>
|
||||
Processors <api/pipecat.processors>
|
||||
Serializers <api/pipecat.serializers>
|
||||
Services <api/pipecat.services>
|
||||
Sync <api/pipecat.sync>
|
||||
Transcriptions <api/pipecat.transcriptions>
|
||||
Transports <api/pipecat.transports>
|
||||
Utils <api/pipecat.utils>
|
||||
|
||||
Indices and tables
|
||||
==================
|
||||
|
||||
* :ref:`genindex`
|
||||
* :ref:`modindex`
|
||||
* :ref:`search`
|
||||
35
docs/api/make.bat
Normal file
35
docs/api/make.bat
Normal file
@@ -0,0 +1,35 @@
|
||||
@ECHO OFF
|
||||
|
||||
pushd %~dp0
|
||||
|
||||
REM Command file for Sphinx documentation
|
||||
|
||||
if "%SPHINXBUILD%" == "" (
|
||||
set SPHINXBUILD=sphinx-build
|
||||
)
|
||||
set SOURCEDIR=.
|
||||
set BUILDDIR=_build
|
||||
|
||||
%SPHINXBUILD% >NUL 2>NUL
|
||||
if errorlevel 9009 (
|
||||
echo.
|
||||
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
|
||||
echo.installed, then set the SPHINXBUILD environment variable to point
|
||||
echo.to the full path of the 'sphinx-build' executable. Alternatively you
|
||||
echo.may add the Sphinx directory to PATH.
|
||||
echo.
|
||||
echo.If you don't have Sphinx installed, grab it from
|
||||
echo.https://www.sphinx-doc.org/
|
||||
exit /b 1
|
||||
)
|
||||
|
||||
if "%1" == "" goto help
|
||||
|
||||
%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
|
||||
goto end
|
||||
|
||||
:help
|
||||
%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
|
||||
|
||||
:end
|
||||
popd
|
||||
40
docs/api/requirements.txt
Normal file
40
docs/api/requirements.txt
Normal file
@@ -0,0 +1,40 @@
|
||||
# Sphinx dependencies
|
||||
sphinx>=8.1.3
|
||||
sphinx-rtd-theme
|
||||
sphinx-markdown-builder
|
||||
sphinx-autodoc-typehints
|
||||
toml
|
||||
|
||||
# Install all extras individually to ensure they're properly resolved
|
||||
pipecat-ai[anthropic]
|
||||
pipecat-ai[assemblyai]
|
||||
pipecat-ai[aws]
|
||||
pipecat-ai[azure]
|
||||
pipecat-ai[canonical]
|
||||
pipecat-ai[cartesia]
|
||||
pipecat-ai[daily]
|
||||
pipecat-ai[deepgram]
|
||||
pipecat-ai[elevenlabs]
|
||||
pipecat-ai[fal]
|
||||
pipecat-ai[fireworks]
|
||||
pipecat-ai[gladia]
|
||||
pipecat-ai[google]
|
||||
pipecat-ai[grok]
|
||||
pipecat-ai[groq]
|
||||
# pipecat-ai[krisp] # Mocked instead
|
||||
pipecat-ai[langchain]
|
||||
pipecat-ai[livekit]
|
||||
pipecat-ai[lmnt]
|
||||
pipecat-ai[local]
|
||||
pipecat-ai[moondream]
|
||||
pipecat-ai[nim]
|
||||
pipecat-ai[noisereduce]
|
||||
pipecat-ai[openai]
|
||||
# pipecat-ai[openpipe]
|
||||
# pipecat-ai[playht] # Mocked due to grpcio conflict with riva
|
||||
pipecat-ai[riva]
|
||||
pipecat-ai[silero]
|
||||
pipecat-ai[simli]
|
||||
pipecat-ai[soundfile]
|
||||
pipecat-ai[websocket]
|
||||
pipecat-ai[whisper]
|
||||
38
docs/api/rtd-test.sh
Executable file
38
docs/api/rtd-test.sh
Executable file
@@ -0,0 +1,38 @@
|
||||
#!/bin/bash
|
||||
set -e
|
||||
|
||||
# Configuration
|
||||
DOCS_DIR=$(pwd)
|
||||
PROJECT_ROOT=$(cd ../../ && pwd)
|
||||
TEST_DIR="/tmp/rtd-test-$(date +%Y%m%d_%H%M%S)"
|
||||
|
||||
echo "Creating test directory: $TEST_DIR"
|
||||
mkdir -p "$TEST_DIR"
|
||||
cd "$TEST_DIR"
|
||||
|
||||
# Create virtual environment
|
||||
python -m venv venv
|
||||
source venv/bin/activate
|
||||
|
||||
echo "Installing build dependencies..."
|
||||
pip install --upgrade pip wheel setuptools
|
||||
|
||||
echo "Installing documentation dependencies..."
|
||||
pip install -r "$DOCS_DIR/requirements.txt"
|
||||
|
||||
echo "Building documentation..."
|
||||
cd "$DOCS_DIR"
|
||||
sphinx-build -b html . "_build/html"
|
||||
|
||||
echo "Build complete. Check _build/html directory for output."
|
||||
|
||||
# Print summary
|
||||
echo -e "\n=== Build Summary ==="
|
||||
echo "Documentation: $DOCS_DIR/_build/html"
|
||||
echo "Test environment: $TEST_DIR"
|
||||
echo -e "\nTo view the documentation:"
|
||||
echo "open $DOCS_DIR/_build/html/index.html"
|
||||
|
||||
# Print installed packages for verification
|
||||
echo -e "\n=== Installed Packages ==="
|
||||
pip freeze | grep -E "sphinx|pipecat"
|
||||
@@ -96,9 +96,6 @@ Notable control frames:
|
||||
|
||||
## 7. Special Purpose Frames
|
||||
|
||||
### AppFrame
|
||||
Base class for application-specific custom frames.
|
||||
|
||||
### MetricsFrame
|
||||
Contains performance metrics data.
|
||||
|
||||
|
||||
@@ -54,5 +54,9 @@ TAVUS_API_KEY=...
|
||||
TAVUS_REPLICA_ID=...
|
||||
TAVUS_PERSONA_ID=...
|
||||
|
||||
#Krisp
|
||||
KRISP_MODEL_PATH=...
|
||||
# Simli
|
||||
SIMLI_API_KEY=...
|
||||
SIMLI_FACE_ID=...
|
||||
|
||||
# Krisp
|
||||
KRISP_MODEL_PATH=...
|
||||
|
||||
@@ -42,6 +42,7 @@ Next, follow the steps in the README for each demo.
|
||||
| [Dialin Chatbot](dialin-chatbot) | A chatbot that connects to an incoming phone call from Daily or Twilio. | Deepgram, ElevenLabs, OpenAI, Daily, Twilio |
|
||||
| [Twilio Chatbot](twilio-chatbot) | A chatbot that connects to an incoming phone call from Twilio. | Deepgram, ElevenLabs, OpenAI, Daily, Twilio |
|
||||
| [studypal](studypal) | A chatbot to have a conversation about any article on the web | |
|
||||
| [WebSocket Chatbot Server](websocket-server) | A real-time websocket server that handles audio streaming and bot interactions with speech-to-text and text-to-speech capabilities | `python-websockets`, `openai`, `deepgram`, `silero-tts`, `numpy` |
|
||||
|
||||
> [!IMPORTANT]
|
||||
> These example projects use Daily as a WebRTC transport and can be joined using their hosted Prebuilt UI.
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
@@ -102,7 +102,6 @@ async def main():
|
||||
audio_buffer_processor=audio_buffer_processor,
|
||||
aiohttp_session=session,
|
||||
api_key=os.getenv("CANONICAL_API_KEY"),
|
||||
api_url=os.getenv("CANONICAL_API_URL"),
|
||||
call_id=str(uuid.uuid4()),
|
||||
assistant="pipecat-chatbot",
|
||||
assistant_speaks_first=True,
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,16 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import datetime
|
||||
import io
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
import datetime
|
||||
import wave
|
||||
|
||||
import aiofiles
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
@@ -32,15 +34,17 @@ logger.remove(0)
|
||||
logger.add(sys.stderr, level="DEBUG")
|
||||
|
||||
|
||||
async def save_audio(audiobuffer):
|
||||
if audiobuffer.has_audio():
|
||||
merged_audio = audiobuffer.merge_audio_buffers()
|
||||
async def save_audio(audio: bytes, sample_rate: int, num_channels: int):
|
||||
if len(audio) > 0:
|
||||
filename = f"conversation_recording{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}.wav"
|
||||
with wave.open(filename, "wb") as wf:
|
||||
wf.setnchannels(2)
|
||||
wf.setsampwidth(2)
|
||||
wf.setframerate(audiobuffer._sample_rate)
|
||||
wf.writeframes(merged_audio)
|
||||
with io.BytesIO() as buffer:
|
||||
with wave.open(buffer, "wb") as wf:
|
||||
wf.setsampwidth(2)
|
||||
wf.setnchannels(num_channels)
|
||||
wf.setframerate(sample_rate)
|
||||
wf.writeframes(audio)
|
||||
async with aiofiles.open(filename, "wb") as file:
|
||||
await file.write(buffer.getvalue())
|
||||
print(f"Merged audio saved to {filename}")
|
||||
else:
|
||||
print("No audio data to save")
|
||||
@@ -106,7 +110,9 @@ async def main():
|
||||
context = OpenAILLMContext(messages)
|
||||
context_aggregator = llm.create_context_aggregator(context)
|
||||
|
||||
audiobuffer = AudioBufferProcessor()
|
||||
# Save audio every 10 seconds.
|
||||
audiobuffer = AudioBufferProcessor(buffer_size=480000)
|
||||
|
||||
pipeline = Pipeline(
|
||||
[
|
||||
transport.input(), # microphone
|
||||
@@ -121,6 +127,10 @@ async def main():
|
||||
|
||||
task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True))
|
||||
|
||||
@audiobuffer.event_handler("on_audio_data")
|
||||
async def on_audio_data(buffer, audio, sample_rate, num_channels):
|
||||
await save_audio(audio, sample_rate, num_channels)
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
await transport.capture_participant_transcription(participant["id"])
|
||||
@@ -130,7 +140,6 @@ async def main():
|
||||
async def on_participant_left(transport, participant, reason):
|
||||
print(f"Participant left: {participant}")
|
||||
await task.queue_frame(EndFrame())
|
||||
await save_audio(audiobuffer)
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
aiofiles
|
||||
python-dotenv
|
||||
fastapi[all]
|
||||
uvicorn
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,22 +1,21 @@
|
||||
import argparse
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
import argparse
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import EndFrame, LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.frames.frames import LLMMessagesFrame, EndFrame
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.services.elevenlabs import ElevenLabsTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,29 +1,27 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import argparse
|
||||
import subprocess
|
||||
import os
|
||||
|
||||
import subprocess
|
||||
from contextlib import asynccontextmanager
|
||||
|
||||
from fastapi import FastAPI, Request, HTTPException
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from fastapi import FastAPI, HTTPException, Request
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import JSONResponse
|
||||
|
||||
from pipecat.transports.services.helpers.daily_rest import (
|
||||
DailyRESTHelper,
|
||||
DailyRoomObject,
|
||||
DailyRoomProperties,
|
||||
DailyRoomParams,
|
||||
DailyRoomProperties,
|
||||
)
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
|
||||
@@ -2,12 +2,11 @@ import os
|
||||
|
||||
import aiohttp
|
||||
import modal
|
||||
from bot import _voice_bot_process
|
||||
from fastapi import HTTPException
|
||||
from fastapi.responses import JSONResponse
|
||||
from loguru import logger
|
||||
|
||||
from bot import _voice_bot_process
|
||||
|
||||
MAX_SESSION_TIME = 15 * 60 # 15 minutes
|
||||
|
||||
app = modal.App("pipecat-modal")
|
||||
|
||||
@@ -2,4 +2,4 @@ python-dotenv==1.0.1
|
||||
modal==0.65.48
|
||||
pipecat-ai[daily,silero,cartesia,openai]==0.0.48
|
||||
fastapi==0.115.4
|
||||
aiohttp==3.10.10
|
||||
aiohttp==3.11.9
|
||||
|
||||
@@ -1,21 +1,20 @@
|
||||
import argparse
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
import argparse
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import EndFrame, LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.frames.frames import LLMMessagesFrame, EndFrame
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.services.elevenlabs import ElevenLabsTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport, DailyDialinSettings
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
@@ -7,14 +7,14 @@ provisioning a room and starting a Pipecat bot in response.
|
||||
Refer to README for more information.
|
||||
"""
|
||||
|
||||
import aiohttp
|
||||
import os
|
||||
import argparse
|
||||
import os
|
||||
import subprocess
|
||||
|
||||
from contextlib import asynccontextmanager
|
||||
|
||||
from fastapi import FastAPI, Request, HTTPException
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from fastapi import FastAPI, HTTPException, Request
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import JSONResponse, PlainTextResponse
|
||||
from twilio.twiml.voice_response import VoiceResponse
|
||||
@@ -22,13 +22,11 @@ from twilio.twiml.voice_response import VoiceResponse
|
||||
from pipecat.transports.services.helpers.daily_rest import (
|
||||
DailyRESTHelper,
|
||||
DailyRoomObject,
|
||||
DailyRoomParams,
|
||||
DailyRoomProperties,
|
||||
DailyRoomSipParams,
|
||||
DailyRoomParams,
|
||||
)
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
|
||||
@@ -1,24 +1,22 @@
|
||||
import argparse
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
import argparse
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from twilio.rest import Client
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import EndFrame, LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.frames.frames import LLMMessagesFrame, EndFrame
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.services.elevenlabs import ElevenLabsTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from twilio.rest import Client
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,26 +1,24 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
from pipecat.frames.frames import EndFrame, TTSSpeakFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from pipecat.frames.frames import EndFrame, TTSSpeakFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
@@ -1,14 +1,16 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.frames.frames import EndFrame, TTSSpeakFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -17,10 +19,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.transports.base_transport import TransportParams
|
||||
from pipecat.transports.local.audio import LocalAudioTransport
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -4,6 +4,9 @@ import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from livekit import api
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.frames.frames import TextFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
@@ -12,12 +15,6 @@ from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.transports.services.livekit import LiveKitParams, LiveKitTransport
|
||||
|
||||
from livekit import api
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
54
examples/foundational/01c-fastpitch.py
Normal file
54
examples/foundational/01c-fastpitch.py
Normal file
@@ -0,0 +1,54 @@
|
||||
#
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import EndFrame, TTSSpeakFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.services.riva import FastPitchTTSService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
logger.add(sys.stderr, level="DEBUG")
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(room_url, _) = await configure(session)
|
||||
|
||||
transport = DailyTransport(
|
||||
room_url, None, "Say One Thing", DailyParams(audio_out_enabled=True)
|
||||
)
|
||||
|
||||
tts = FastPitchTTSService(api_key=os.getenv("NVIDIA_API_KEY"))
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
task = PipelineTask(Pipeline([tts, transport.output()]))
|
||||
|
||||
# Register an event handler so we can play the audio when the
|
||||
# participant joins.
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
participant_name = participant.get("info", {}).get("userName", "")
|
||||
await task.queue_frames([TTSSpeakFrame(f"Aloha, {participant_name}!"), EndFrame()])
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import EndFrame, LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -17,12 +21,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import EndFrame, TextFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -16,12 +20,6 @@ from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.services.fal import FalImageGenService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,16 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import tkinter as tk
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.frames.frames import TextFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -19,10 +21,6 @@ from pipecat.services.fal import FalImageGenService
|
||||
from pipecat.transports.base_transport import TransportParams
|
||||
from pipecat.transports.local.tk import TkLocalTransport
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
@@ -8,27 +8,24 @@
|
||||
# This example broken on latest pipecat and needs updating.
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
from pipecat.pipeline.merge_pipeline import SequentialMergePipeline
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import EndPipeFrame, LLMMessagesFrame, TextFrame
|
||||
from pipecat.pipeline.merge_pipeline import SequentialMergePipeline
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.services.azure import AzureLLMService, AzureTTSService
|
||||
from pipecat.services.elevenlabs import ElevenLabsTTSService
|
||||
from pipecat.services.transport_services import TransportServiceOutput
|
||||
from pipecat.services.transports.daily_transport import DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,18 +1,21 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
from dataclasses import dataclass
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import (
|
||||
AppFrame,
|
||||
DataFrame,
|
||||
Frame,
|
||||
LLMFullResponseStartFrame,
|
||||
LLMMessagesFrame,
|
||||
@@ -22,19 +25,13 @@ from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.sync_parallel_pipeline import SyncParallelPipeline
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.processors.aggregators.sentence import SentenceAggregator
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.services.cartesia import CartesiaHttpTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.services.fal import FalImageGenService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
@@ -42,7 +39,7 @@ logger.add(sys.stderr, level="DEBUG")
|
||||
|
||||
|
||||
@dataclass
|
||||
class MonthFrame(AppFrame):
|
||||
class MonthFrame(DataFrame):
|
||||
month: str
|
||||
|
||||
def __str__(self):
|
||||
|
||||
@@ -1,23 +1,25 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import tkinter as tk
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.frames.frames import (
|
||||
Frame,
|
||||
LLMMessagesFrame,
|
||||
OutputAudioRawFrame,
|
||||
TextFrame,
|
||||
TTSAudioRawFrame,
|
||||
URLImageRawFrame,
|
||||
LLMMessagesFrame,
|
||||
TextFrame,
|
||||
)
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -26,15 +28,11 @@ from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.aggregators.sentence import SentenceAggregator
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.services.cartesia import CartesiaHttpTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.services.fal import FalImageGenService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.base_transport import TransportParams
|
||||
from pipecat.transports.local.tk import TkLocalTransport, TkOutputTransport
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,15 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from PIL import Image
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import Frame, OutputImageRawFrame, SystemFrame, TextFrame
|
||||
@@ -20,14 +23,7 @@ from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.services.cartesia import CartesiaHttpTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyTransport
|
||||
|
||||
from pipecat.transports.services.daily import DailyParams
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
@@ -1,30 +1,28 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.processors.audio.vad.silero import SileroVAD
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.processors.audio.vad.silero import SileroVAD
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
@@ -19,12 +23,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
@@ -9,6 +9,14 @@ import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
|
||||
from langchain_community.chat_message_histories import ChatMessageHistory
|
||||
from langchain_core.chat_history import BaseChatMessageHistory
|
||||
from langchain_core.runnables.history import RunnableWithMessageHistory
|
||||
from langchain_openai import ChatOpenAI
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
@@ -23,18 +31,6 @@ from pipecat.processors.frameworks.langchain import LangchainProcessor
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
|
||||
from langchain_community.chat_message_histories import ChatMessageHistory
|
||||
from langchain_core.chat_history import BaseChatMessageHistory
|
||||
from langchain_core.runnables.history import RunnableWithMessageHistory
|
||||
from langchain_openai import ChatOpenAI
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from runner import configure
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
|
||||
105
examples/foundational/07c-interruptible-deepgram-vad.py
Normal file
105
examples/foundational/07c-interruptible-deepgram-vad.py
Normal file
@@ -0,0 +1,105 @@
|
||||
#
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from deepgram import LiveOptions
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import (
|
||||
BotInterruptionFrame,
|
||||
LLMMessagesFrame,
|
||||
StopInterruptionFrame,
|
||||
UserStartedSpeakingFrame,
|
||||
UserStoppedSpeakingFrame,
|
||||
)
|
||||
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.deepgram import DeepgramSTTService, DeepgramTTSService
|
||||
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")
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(room_url, _) = await configure(session)
|
||||
|
||||
transport = DailyTransport(
|
||||
room_url,
|
||||
None,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_in_enabled=True,
|
||||
audio_out_enabled=True,
|
||||
),
|
||||
)
|
||||
|
||||
stt = DeepgramSTTService(
|
||||
api_key=os.getenv("DEEPGRAM_API_KEY"),
|
||||
live_options=LiveOptions(vad_events=True, utterance_end_ms="1000"),
|
||||
)
|
||||
|
||||
tts = DeepgramTTSService(api_key=os.getenv("DEEPGRAM_API_KEY"), voice="aura-helios-en")
|
||||
|
||||
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
|
||||
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
|
||||
context = OpenAILLMContext(messages)
|
||||
context_aggregator = llm.create_context_aggregator(context)
|
||||
|
||||
pipeline = Pipeline(
|
||||
[
|
||||
transport.input(), # Transport user input
|
||||
stt, # STT
|
||||
context_aggregator.user(), # User responses
|
||||
llm, # LLM
|
||||
tts, # TTS
|
||||
transport.output(), # Transport bot output
|
||||
context_aggregator.assistant(), # Assistant spoken responses
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True))
|
||||
|
||||
@stt.event_handler("on_speech_started")
|
||||
async def on_speech_started(stt, *args, **kwargs):
|
||||
await task.queue_frames([BotInterruptionFrame(), UserStartedSpeakingFrame()])
|
||||
|
||||
@stt.event_handler("on_utterance_end")
|
||||
async def on_utterance_end(stt, *args, **kwargs):
|
||||
await task.queue_frames([StopInterruptionFrame(), UserStoppedSpeakingFrame()])
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
# Kick off the conversation.
|
||||
messages.append({"role": "system", "content": "Please introduce yourself to the user."})
|
||||
await task.queue_frames([LLMMessagesFrame(messages)])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
@@ -11,7 +11,6 @@ import sys
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
@@ -19,6 +18,7 @@ from pipecat.frames.frames import LLMMessagesFrame
|
||||
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.elevenlabs import ElevenLabsTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
@@ -18,13 +22,6 @@ from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.services.azure import AzureLLMService, AzureSTTService, AzureTTSService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
@@ -11,7 +11,6 @@ import sys
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
@@ -19,6 +18,7 @@ from pipecat.frames.frames import LLMMessagesFrame
|
||||
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.openai import OpenAILLMService, OpenAITTSService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
|
||||
@@ -1,13 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
@@ -19,13 +24,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openpipe import OpenPipeLLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
import time
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
@@ -19,12 +23,6 @@ from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.services.xtts import XTTSService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
@@ -50,7 +48,6 @@ async def main():
|
||||
tts = XTTSService(
|
||||
aiohttp_session=session,
|
||||
voice_id="Claribel Dervla",
|
||||
language="en",
|
||||
base_url="http://localhost:8000",
|
||||
)
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
@@ -19,12 +23,6 @@ from pipecat.services.lmnt import LmntTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
@@ -19,7 +19,7 @@ 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.aws import AWSTTSService
|
||||
from pipecat.services.aws import PollyTTSService
|
||||
from pipecat.services.deepgram import DeepgramSTTService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
@@ -48,12 +48,12 @@ async def main():
|
||||
|
||||
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
|
||||
|
||||
tts = AWSTTSService(
|
||||
tts = PollyTTSService(
|
||||
api_key=os.getenv("AWS_SECRET_ACCESS_KEY"),
|
||||
aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"),
|
||||
region=os.getenv("AWS_REGION"),
|
||||
voice_id="Amy",
|
||||
params=AWSTTSService.InputParams(engine="neural", language="en-GB", rate="1.05"),
|
||||
params=PollyTTSService.InputParams(engine="neural", language="en-GB", rate="1.05"),
|
||||
)
|
||||
|
||||
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
@@ -22,6 +22,7 @@ from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.services.deepgram import DeepgramSTTService
|
||||
from pipecat.services.google import GoogleTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transcriptions.language import Language
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
@@ -50,8 +51,8 @@ async def main():
|
||||
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
|
||||
|
||||
tts = GoogleTTSService(
|
||||
voice_id="en-US-Neural2-J",
|
||||
params=GoogleTTSService.InputParams(language="en-US", rate="1.05"),
|
||||
voice_id="en-US-Journey-F",
|
||||
params=GoogleTTSService.InputParams(language=Language.EN_US),
|
||||
)
|
||||
|
||||
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
@@ -13,6 +13,7 @@ from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.filters.krisp_filter import KrispFilter
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -25,7 +26,6 @@ from pipecat.services.deepgram import DeepgramSTTService, DeepgramTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
from pipecat.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.audio.filters.krisp_filter import KrispFilter
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
92
examples/foundational/07r-interruptible-riva-nim.py
Normal file
92
examples/foundational/07r-interruptible-riva-nim.py
Normal file
@@ -0,0 +1,92 @@
|
||||
#
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
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.nim import NimLLMService
|
||||
from pipecat.services.riva import FastPitchTTSService, ParakeetSTTService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
logger.add(sys.stderr, level="DEBUG")
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(room_url, _) = await configure(session)
|
||||
|
||||
transport = DailyTransport(
|
||||
room_url,
|
||||
None,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_out_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
vad_audio_passthrough=True,
|
||||
),
|
||||
)
|
||||
|
||||
stt = ParakeetSTTService(api_key=os.getenv("NVIDIA_API_KEY"))
|
||||
|
||||
llm = NimLLMService(
|
||||
api_key=os.getenv("NVIDIA_API_KEY"), model="meta/llama-3.1-405b-instruct"
|
||||
)
|
||||
|
||||
tts = FastPitchTTSService(api_key=os.getenv("NVIDIA_API_KEY"))
|
||||
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
|
||||
context = OpenAILLMContext(messages)
|
||||
context_aggregator = llm.create_context_aggregator(context)
|
||||
|
||||
pipeline = Pipeline(
|
||||
[
|
||||
transport.input(), # Transport user input
|
||||
stt, # STT
|
||||
context_aggregator.user(), # User responses
|
||||
llm, # LLM
|
||||
tts, # TTS
|
||||
transport.output(), # Transport bot output
|
||||
context_aggregator.assistant(), # Assistant spoken responses
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True))
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
# Kick off the conversation.
|
||||
messages.append({"role": "system", "content": "Please introduce yourself to the user."})
|
||||
await task.queue_frames([LLMMessagesFrame(messages)])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -1,41 +1,40 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import google.ai.generativelanguage as glm
|
||||
|
||||
from dataclasses import dataclass
|
||||
|
||||
import aiohttp
|
||||
import google.ai.generativelanguage as glm
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
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.google import GoogleLLMService
|
||||
from pipecat.processors.frame_processor import FrameProcessor
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
from pipecat.frames.frames import (
|
||||
LLMFullResponseStartFrame,
|
||||
LLMFullResponseEndFrame,
|
||||
InputAudioRawFrame,
|
||||
Frame,
|
||||
InputAudioRawFrame,
|
||||
LLMFullResponseEndFrame,
|
||||
LLMFullResponseStartFrame,
|
||||
StartInterruptionFrame,
|
||||
TextFrame,
|
||||
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.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.processors.frame_processor import FrameProcessor
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.google import GoogleLLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
@@ -217,7 +216,11 @@ async def main():
|
||||
voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
|
||||
)
|
||||
|
||||
llm = GoogleLLMService(model="gemini-1.5-flash-latest", api_key=os.getenv("GOOGLE_API_KEY"))
|
||||
llm = GoogleLLMService(
|
||||
model="gemini-1.5-flash-latest",
|
||||
# model="gemini-exp-1114",
|
||||
api_key=os.getenv("GOOGLE_API_KEY"),
|
||||
)
|
||||
|
||||
messages = [
|
||||
{
|
||||
99
examples/foundational/07t-interruptible-fish.py
Normal file
99
examples/foundational/07t-interruptible-fish.py
Normal file
@@ -0,0 +1,99 @@
|
||||
#
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
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.fish import FishAudioTTSService
|
||||
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")
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(room_url, token) = await configure(session)
|
||||
|
||||
transport = DailyTransport(
|
||||
room_url,
|
||||
token,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
),
|
||||
)
|
||||
|
||||
tts = FishAudioTTSService(
|
||||
api_key=os.getenv("FISH_API_KEY"),
|
||||
model="4ce7e917cedd4bc2bb2e6ff3a46acaa1", # Barack Obama
|
||||
)
|
||||
|
||||
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
|
||||
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
|
||||
context = OpenAILLMContext(messages)
|
||||
context_aggregator = llm.create_context_aggregator(context)
|
||||
|
||||
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
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
await transport.capture_participant_transcription(participant["id"])
|
||||
# Kick off the conversation.
|
||||
messages.append({"role": "system", "content": "Please introduce yourself to the user."})
|
||||
await task.queue_frames([LLMMessagesFrame(messages)])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -1,20 +1,19 @@
|
||||
from typing import Tuple
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import logging
|
||||
import os
|
||||
from pipecat.processors.aggregators import SentenceAggregator
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from typing import Tuple
|
||||
|
||||
from pipecat.transports.services.daily import DailyTransport
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import AudioFrame, EndFrame, ImageFrame, LLMMessagesFrame, TextFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.processors.aggregators import SentenceAggregator
|
||||
from pipecat.services.azure import AzureLLMService, AzureTTSService
|
||||
from pipecat.services.elevenlabs import ElevenLabsTTSService
|
||||
from pipecat.services.fal import FalImageGenService
|
||||
from pipecat.frames.frames import AudioFrame, EndFrame, ImageFrame, LLMMessagesFrame, TextFrame
|
||||
|
||||
from runner import configure
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from pipecat.transports.services.daily import DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
@@ -1,13 +1,17 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import (
|
||||
Frame,
|
||||
InputAudioRawFrame,
|
||||
@@ -19,13 +23,7 @@ from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.transports.services.daily import DailyTransport, DailyParams
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
@@ -1,15 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import sys
|
||||
|
||||
import tkinter as tk
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import (
|
||||
Frame,
|
||||
InputAudioRawFrame,
|
||||
@@ -25,12 +28,6 @@ from pipecat.transports.base_transport import TransportParams
|
||||
from pipecat.transports.local.tk import TkLocalTransport
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -19,12 +23,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,38 +1,38 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
import wave
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import (
|
||||
Frame,
|
||||
LLMFullResponseEndFrame,
|
||||
LLMMessagesFrame,
|
||||
OutputAudioRawFrame,
|
||||
)
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.processors.aggregators.openai_llm_context import (
|
||||
OpenAILLMContext,
|
||||
OpenAILLMContextFrame,
|
||||
)
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.processors.logger import FrameLogger
|
||||
from pipecat.services.cartesia import CartesiaHttpTTSService
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
@@ -72,7 +72,7 @@ class InboundSoundEffectWrapper(FrameProcessor):
|
||||
async def process_frame(self, frame: Frame, direction: FrameDirection):
|
||||
await super().process_frame(frame, direction)
|
||||
|
||||
if isinstance(frame, LLMMessagesFrame):
|
||||
if isinstance(frame, OpenAILLMContextFrame):
|
||||
await self.push_frame(sounds["ding2.wav"])
|
||||
# In case anything else downstream needs it
|
||||
await self.push_frame(frame, direction)
|
||||
@@ -98,7 +98,7 @@ async def main():
|
||||
|
||||
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
|
||||
|
||||
tts = CartesiaHttpTTSService(
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
|
||||
)
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import Frame, TextFrame, UserImageRequestFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
@@ -21,12 +25,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.moondream import MoondreamService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import Frame, TextFrame, UserImageRequestFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
@@ -21,12 +25,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.google import GoogleLLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import Frame, TextFrame, UserImageRequestFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
@@ -21,12 +25,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import Frame, TextFrame, UserImageRequestFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
@@ -17,16 +21,10 @@ from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.aggregators.user_response import UserResponseAggregator
|
||||
from pipecat.processors.aggregators.vision_image_frame import VisionImageFrameAggregator
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.anthropic import AnthropicLLMService
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,13 +1,17 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import Frame, TranscriptionFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -16,12 +20,6 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.services.whisper import WhisperSTTService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
@@ -7,6 +7,9 @@
|
||||
import asyncio
|
||||
import sys
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.frames.frames import Frame, TranscriptionFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -16,10 +19,6 @@ from pipecat.services.whisper import WhisperSTTService
|
||||
from pipecat.transports.base_transport import TransportParams
|
||||
from pipecat.transports.local.audio import LocalAudioTransport
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,28 +1,26 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.frames.frames import Frame, TranscriptionFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.services.deepgram import DeepgramSTTService, LiveOptions, Language
|
||||
from pipecat.services.deepgram import DeepgramSTTService, Language, LiveOptions
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,14 +1,19 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -17,14 +22,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMContext, OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,29 +1,27 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
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.anthropic import AnthropicLLMService
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,29 +1,27 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
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.anthropic import AnthropicLLMService
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,14 +1,19 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -18,14 +23,6 @@ from pipecat.services.openai import OpenAILLMContext
|
||||
from pipecat.services.together import TogetherLLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
@@ -125,7 +122,7 @@ async def main():
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
await transport.capture_participant_transcription(participant["id"])
|
||||
# Kick off the conversation.
|
||||
# await tts.say("Hi! Ask me about the weather in San Francisco.")
|
||||
await task.queue_frames([context_aggregator.user().get_context_frame()])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
|
||||
@@ -1,14 +1,19 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -17,14 +22,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMContext, OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
@@ -18,12 +22,6 @@ from pipecat.services.google import GoogleLLMService
|
||||
from pipecat.services.openai import OpenAILLMContext
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
@@ -64,7 +62,11 @@ async def main():
|
||||
voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
|
||||
)
|
||||
|
||||
llm = GoogleLLMService(model="gemini-1.5-flash-latest", api_key=os.getenv("GOOGLE_API_KEY"))
|
||||
llm = GoogleLLMService(
|
||||
model="gemini-1.5-flash-latest",
|
||||
# model="gemini-exp-1114",
|
||||
api_key=os.getenv("GOOGLE_API_KEY"),
|
||||
)
|
||||
llm.register_function("get_weather", get_weather)
|
||||
llm.register_function("get_image", get_image)
|
||||
|
||||
@@ -151,7 +153,6 @@ indicate you should use the get_image tool are:
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
139
examples/foundational/14f-function-calling-groq.py
Normal file
139
examples/foundational/14f-function-calling-groq.py
Normal file
@@ -0,0 +1,139 @@
|
||||
#
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.groq import GroqLLMService
|
||||
from pipecat.services.openai import OpenAILLMContext
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
logger.add(sys.stderr, level="DEBUG")
|
||||
|
||||
|
||||
async def start_fetch_weather(function_name, llm, context):
|
||||
# note: we can't push a frame to the LLM here. the bot
|
||||
# can interrupt itself and/or cause audio overlapping glitches.
|
||||
# possible question for Aleix and Chad about what the right way
|
||||
# to trigger speech is, now, with the new queues/async/sync refactors.
|
||||
# await llm.push_frame(TextFrame("Let me check on that."))
|
||||
logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
|
||||
|
||||
|
||||
async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context, result_callback):
|
||||
await result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(room_url, token) = await configure(session)
|
||||
|
||||
transport = DailyTransport(
|
||||
room_url,
|
||||
token,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
),
|
||||
)
|
||||
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
|
||||
)
|
||||
|
||||
llm = GroqLLMService(
|
||||
api_key=os.getenv("GROQ_API_KEY"), model="llama3-groq-70b-8192-tool-use-preview"
|
||||
)
|
||||
# Register a function_name of None to get all functions
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
|
||||
|
||||
tools = [
|
||||
ChatCompletionToolParam(
|
||||
type="function",
|
||||
function={
|
||||
"name": "get_current_weather",
|
||||
"description": "Get the current weather",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The city and state, e.g. San Francisco, CA",
|
||||
},
|
||||
"unit": {
|
||||
"type": "string",
|
||||
"enum": ["celsius", "fahrenheit"],
|
||||
"description": "The temperature unit to use. Infer this from the users location.",
|
||||
},
|
||||
},
|
||||
"required": ["location"],
|
||||
},
|
||||
},
|
||||
)
|
||||
]
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
|
||||
context = 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,
|
||||
PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
await transport.capture_participant_transcription(participant["id"])
|
||||
# Kick off the conversation.
|
||||
await task.queue_frames([context_aggregator.user().get_context_frame()])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
137
examples/foundational/14g-function-calling-grok.py
Normal file
137
examples/foundational/14g-function-calling-grok.py
Normal file
@@ -0,0 +1,137 @@
|
||||
#
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.grok import GrokLLMService
|
||||
from pipecat.services.openai import OpenAILLMContext
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
logger.add(sys.stderr, level="DEBUG")
|
||||
|
||||
|
||||
async def start_fetch_weather(function_name, llm, context):
|
||||
# note: we can't push a frame to the LLM here. the bot
|
||||
# can interrupt itself and/or cause audio overlapping glitches.
|
||||
# possible question for Aleix and Chad about what the right way
|
||||
# to trigger speech is, now, with the new queues/async/sync refactors.
|
||||
# await llm.push_frame(TextFrame("Let me check on that."))
|
||||
logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
|
||||
|
||||
|
||||
async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context, result_callback):
|
||||
await result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(room_url, token) = await configure(session)
|
||||
|
||||
transport = DailyTransport(
|
||||
room_url,
|
||||
token,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
),
|
||||
)
|
||||
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
|
||||
)
|
||||
|
||||
llm = GrokLLMService(api_key=os.getenv("GROK_API_KEY"))
|
||||
# Register a function_name of None to get all functions
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
|
||||
|
||||
tools = [
|
||||
ChatCompletionToolParam(
|
||||
type="function",
|
||||
function={
|
||||
"name": "get_current_weather",
|
||||
"description": "Get the current weather",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The city and state, e.g. San Francisco, CA",
|
||||
},
|
||||
"format": {
|
||||
"type": "string",
|
||||
"enum": ["celsius", "fahrenheit"],
|
||||
"description": "The temperature unit to use. Infer this from the users location.",
|
||||
},
|
||||
},
|
||||
"required": ["location", "format"],
|
||||
},
|
||||
},
|
||||
)
|
||||
]
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
|
||||
context = 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,
|
||||
PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
await transport.capture_participant_transcription(participant["id"])
|
||||
# Kick off the conversation.
|
||||
await task.queue_frames([context_aggregator.user().get_context_frame()])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
141
examples/foundational/14h-function-calling-azure.py
Normal file
141
examples/foundational/14h-function-calling-azure.py
Normal file
@@ -0,0 +1,141 @@
|
||||
#
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.services.azure import AzureLLMService
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMContext
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
logger.add(sys.stderr, level="DEBUG")
|
||||
|
||||
|
||||
async def start_fetch_weather(function_name, llm, context):
|
||||
# note: we can't push a frame to the LLM here. the bot
|
||||
# can interrupt itself and/or cause audio overlapping glitches.
|
||||
# possible question for Aleix and Chad about what the right way
|
||||
# to trigger speech is, now, with the new queues/async/sync refactors.
|
||||
# await llm.push_frame(TextFrame("Let me check on that."))
|
||||
logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
|
||||
|
||||
|
||||
async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context, result_callback):
|
||||
await result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(room_url, token) = await configure(session)
|
||||
|
||||
transport = DailyTransport(
|
||||
room_url,
|
||||
token,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
),
|
||||
)
|
||||
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
|
||||
)
|
||||
|
||||
llm = AzureLLMService(
|
||||
api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
|
||||
endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
|
||||
model=os.getenv("AZURE_CHATGPT_MODEL"),
|
||||
)
|
||||
# Register a function_name of None to get all functions
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
|
||||
|
||||
tools = [
|
||||
ChatCompletionToolParam(
|
||||
type="function",
|
||||
function={
|
||||
"name": "get_current_weather",
|
||||
"description": "Get the current weather",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The city and state, e.g. San Francisco, CA",
|
||||
},
|
||||
"format": {
|
||||
"type": "string",
|
||||
"enum": ["celsius", "fahrenheit"],
|
||||
"description": "The temperature unit to use. Infer this from the users location.",
|
||||
},
|
||||
},
|
||||
"required": ["location", "format"],
|
||||
},
|
||||
},
|
||||
)
|
||||
]
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
|
||||
context = 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,
|
||||
PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
await transport.capture_participant_transcription(participant["id"])
|
||||
# Kick off the conversation.
|
||||
await task.queue_frames([context_aggregator.user().get_context_frame()])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
140
examples/foundational/14i-function-calling-fireworks.py
Normal file
140
examples/foundational/14i-function-calling-fireworks.py
Normal file
@@ -0,0 +1,140 @@
|
||||
#
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.fireworks import FireworksLLMService
|
||||
from pipecat.services.openai import OpenAILLMContext
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
logger.add(sys.stderr, level="DEBUG")
|
||||
|
||||
|
||||
async def start_fetch_weather(function_name, llm, context):
|
||||
# note: we can't push a frame to the LLM here. the bot
|
||||
# can interrupt itself and/or cause audio overlapping glitches.
|
||||
# possible question for Aleix and Chad about what the right way
|
||||
# to trigger speech is, now, with the new queues/async/sync refactors.
|
||||
# await llm.push_frame(TextFrame("Let me check on that."))
|
||||
logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
|
||||
|
||||
|
||||
async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context, result_callback):
|
||||
await result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(room_url, token) = await configure(session)
|
||||
|
||||
transport = DailyTransport(
|
||||
room_url,
|
||||
token,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
),
|
||||
)
|
||||
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
|
||||
)
|
||||
|
||||
llm = FireworksLLMService(
|
||||
api_key=os.getenv("FIREWORKS_API_KEY"),
|
||||
model="accounts/fireworks/models/firefunction-v2",
|
||||
)
|
||||
# Register a function_name of None to get all functions
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
|
||||
|
||||
tools = [
|
||||
ChatCompletionToolParam(
|
||||
type="function",
|
||||
function={
|
||||
"name": "get_current_weather",
|
||||
"description": "Get the current weather",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The city and state, e.g. San Francisco, CA",
|
||||
},
|
||||
"format": {
|
||||
"type": "string",
|
||||
"enum": ["celsius", "fahrenheit"],
|
||||
"description": "The temperature unit to use. Infer this from the users location.",
|
||||
},
|
||||
},
|
||||
"required": ["location", "format"],
|
||||
},
|
||||
},
|
||||
)
|
||||
]
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
|
||||
context = 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,
|
||||
PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
await transport.capture_participant_transcription(participant["id"])
|
||||
# Kick off the conversation.
|
||||
await task.queue_frames([context_aggregator.user().get_context_frame()])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
140
examples/foundational/14j-function-calling-nim.py
Normal file
140
examples/foundational/14j-function-calling-nim.py
Normal file
@@ -0,0 +1,140 @@
|
||||
#
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.nim import NimLLMService
|
||||
from pipecat.services.openai import OpenAILLMContext
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
logger.add(sys.stderr, level="DEBUG")
|
||||
|
||||
|
||||
async def start_fetch_weather(function_name, llm, context):
|
||||
# note: we can't push a frame to the LLM here. the bot
|
||||
# can interrupt itself and/or cause audio overlapping glitches.
|
||||
# possible question for Aleix and Chad about what the right way
|
||||
# to trigger speech is, now, with the new queues/async/sync refactors.
|
||||
# await llm.push_frame(TextFrame("Let me check on that."))
|
||||
logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
|
||||
|
||||
|
||||
async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context, result_callback):
|
||||
await result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(room_url, token) = await configure(session)
|
||||
|
||||
transport = DailyTransport(
|
||||
room_url,
|
||||
token,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
),
|
||||
)
|
||||
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
|
||||
# text_filter=MarkdownTextFilter(),
|
||||
)
|
||||
|
||||
llm = NimLLMService(
|
||||
api_key=os.getenv("NVIDIA_API_KEY"), model="meta/llama-3.3-70b-instruct"
|
||||
)
|
||||
# Register a function_name of None to get all functions
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
|
||||
|
||||
tools = [
|
||||
ChatCompletionToolParam(
|
||||
type="function",
|
||||
function={
|
||||
"name": "get_current_weather",
|
||||
"description": "Returns the current weather at a location, if one is specified, and defaults to the user's location.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The location to find the weather of, or if not provided, it's the default location.",
|
||||
},
|
||||
"format": {
|
||||
"type": "string",
|
||||
"enum": ["celsius", "fahrenheit"],
|
||||
"description": "Whether to use SI or USCS units (celsius or fahrenheit).",
|
||||
},
|
||||
},
|
||||
"required": ["location", "format"],
|
||||
},
|
||||
},
|
||||
)
|
||||
]
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
|
||||
context = 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,
|
||||
PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
)
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
await transport.capture_participant_transcription(participant["id"])
|
||||
# Kick off the conversation.
|
||||
await task.queue_frames([context_aggregator.user().get_context_frame()])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
148
examples/foundational/14k-function-calling-cerebras.py
Normal file
148
examples/foundational/14k-function-calling-cerebras.py
Normal file
@@ -0,0 +1,148 @@
|
||||
#
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.cerebras import CerebrasLLMService
|
||||
from pipecat.services.openai import OpenAILLMContext
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
logger.add(sys.stderr, level="DEBUG")
|
||||
|
||||
|
||||
async def start_fetch_weather(function_name, llm, context):
|
||||
# note: we can't push a frame to the LLM here. the bot
|
||||
# can interrupt itself and/or cause audio overlapping glitches.
|
||||
# possible question for Aleix and Chad about what the right way
|
||||
# to trigger speech is, now, with the new queues/async/sync refactors.
|
||||
# await llm.push_frame(TextFrame("Let me check on that."))
|
||||
logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
|
||||
|
||||
|
||||
async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context, result_callback):
|
||||
await result_callback({"conditions": "nice", "temperature": "75"})
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(room_url, token) = await configure(session)
|
||||
|
||||
transport = DailyTransport(
|
||||
room_url,
|
||||
token,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
),
|
||||
)
|
||||
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
|
||||
)
|
||||
|
||||
llm = CerebrasLLMService(api_key=os.getenv("CEREBRAS_API_KEY"), model="llama-3.3-70b")
|
||||
# Register a function_name of None to get all functions
|
||||
# sent to the same callback with an additional function_name parameter.
|
||||
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
|
||||
|
||||
tools = [
|
||||
ChatCompletionToolParam(
|
||||
type="function",
|
||||
function={
|
||||
"name": "get_current_weather",
|
||||
"description": "Get the current weather for a specific location. You MUST use this function whenever asked about weather.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"location": {
|
||||
"type": "string",
|
||||
"description": "The city and state, e.g. San Francisco, CA",
|
||||
},
|
||||
"format": {
|
||||
"type": "string",
|
||||
"enum": ["celsius", "fahrenheit"],
|
||||
"description": "The temperature unit to use. Use fahrenheit for US locations, celsius for others.",
|
||||
},
|
||||
},
|
||||
"required": ["location", "format"],
|
||||
},
|
||||
},
|
||||
)
|
||||
]
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": """You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way.
|
||||
|
||||
You have one functions available:
|
||||
|
||||
1. get_current_weather is used to get current weather information.
|
||||
|
||||
Infer whether to use Fahrenheit or Celsius automatically based on the location, unless the user specifies a preference.
|
||||
|
||||
Start by asking me for my location. Then, use 'get_weather_current' to give me a forecast.
|
||||
|
||||
Respond to what the user said in a creative and helpful way.""",
|
||||
},
|
||||
]
|
||||
|
||||
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,
|
||||
PipelineParams(
|
||||
allow_interruptions=True,
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
report_only_initial_ttfb=True,
|
||||
),
|
||||
)
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant):
|
||||
await transport.capture_participant_transcription(participant["id"])
|
||||
# Kick off the conversation.
|
||||
await task.queue_frames([context_aggregator.user().get_context_frame()])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -1,18 +1,23 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import aiohttp
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.parallel_pipeline import ParallelPipeline
|
||||
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
|
||||
@@ -21,14 +26,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,34 +1,33 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from deepgram import LiveOptions
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame, TTSUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
from pipecat.pipeline.parallel_pipeline import ParallelPipeline
|
||||
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.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.deepgram import DeepgramSTTService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from openai.types.chat import ChatCompletionToolParam
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
@@ -61,13 +60,16 @@ async def main():
|
||||
"Pipecat",
|
||||
DailyParams(
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
vad_audio_passthrough=True,
|
||||
),
|
||||
)
|
||||
|
||||
stt = DeepgramSTTService(
|
||||
api_key=os.getenv("DEEPGRAM_API_KEY"), live_options=LiveOptions(language="multi")
|
||||
)
|
||||
|
||||
english_tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
|
||||
@@ -113,6 +115,7 @@ async def main():
|
||||
pipeline = Pipeline(
|
||||
[
|
||||
transport.input(), # Transport user input
|
||||
stt, # STT
|
||||
context_aggregator.user(), # User responses
|
||||
llm, # LLM
|
||||
ParallelPipeline( # TTS (bot will speak the chosen language)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
@@ -1,14 +1,18 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMMessagesFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
@@ -20,12 +24,6 @@ from pipecat.services.cartesia import CartesiaTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,26 +1,24 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import argparse
|
||||
import asyncio
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure_with_args
|
||||
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.gstreamer.pipeline_source import GStreamerPipelineSource
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure_with_args
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
@@ -53,7 +51,7 @@ async def main():
|
||||
out_params=GStreamerPipelineSource.OutputParams(
|
||||
video_width=1280,
|
||||
video_height=720,
|
||||
audio_sample_rate=16000,
|
||||
audio_sample_rate=24000,
|
||||
audio_channels=1,
|
||||
),
|
||||
)
|
||||
|
||||
@@ -1,25 +1,23 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
from runner import configure
|
||||
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.gstreamer.pipeline_source import GStreamerPipelineSource
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
|
||||
from runner import configure
|
||||
|
||||
from loguru import logger
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
logger.remove(0)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
#
|
||||
# Copyright (c) 2024, Daily
|
||||
# Copyright (c) 2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user