Initial commit for full stack chatbot

Update examples/patient-intake/README.md
Co-authored-by: Mark Backman <m.backman@gmail.com>
2024-12-04 18:10:40 -05:00 · 2024-12-04 18:10:34 -05:00 · 2024-12-04 18:10:34 -05:00 · 2024-12-04 18:10:34 -05:00
3006 changed files with 175268 additions and 19893 deletions
--- a/.github/workflows/android.yaml
+++ b/.github/workflows/android.yaml
@@ -1,48 +0,0 @@
-name: android
-
-on:
-  push:
-    branches:
-      - main
-    paths:
-      - "examples/simple-chatbot/client/android/**"
-  pull_request:
-    branches:
-      - "**"
-    paths:
-      - "examples/simple-chatbot/client/android/**"
-  workflow_dispatch:
-    inputs:
-      sdk_git_ref:
-        type: string
-        description: "Which git ref of the app to build"
-
-concurrency:
-  group: build-android-${{ github.event.pull_request.number || github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  sdk:
-    name: "Simple chatbot demo"
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repo
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ github.event.inputs.sdk_git_ref || github.ref }}
-
-      - name: "Install Java"
-        uses: actions/setup-java@v4
-        with:
-          distribution: 'temurin'
-          java-version: '17'
-
-      - name: Build demo app
-        working-directory: examples/simple-chatbot/client/android
-        run: ./gradlew :simple-chatbot-client:assembleDebug
-
-      - name: Upload demo APK
-        uses: actions/upload-artifact@v4
-        with:
-          name: Simple Chatbot Android Client
-          path: examples/simple-chatbot/client/android/simple-chatbot-client/build/outputs/apk/debug/simple-chatbot-client-debug.apk
--- a/.github/workflows/format.yaml
+++ b/.github/workflows/format.yaml
@@ -35,12 +35,7 @@ jobs:
          python -m pip install --upgrade pip
          pip install -r dev-requirements.txt
      - name: Ruff formatter
-        id: ruff-format
+        id: ruff
        run: |
          source .venv/bin/activate
          ruff format --diff
-      - name: Ruff import linter
-        id: ruff-check
-        run: |
-          source .venv/bin/activate
-          ruff check --select I
--- a/.gitignore
+++ b/.gitignore
@@ -28,11 +28,4 @@ share/python-wheels/
 MANIFEST
 .DS_Store
 .env
-fly.toml
-
-# Example files
-pipecat/examples/twilio-chatbot/templates/streams.xml
-
-# Documentation
-docs/api/_build/
-docs/api/api
+fly.toml
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,7 +0,0 @@
-repos:
-  - repo: local
-    hooks:
-      - id: ruff-format-hook
-        name: Check ruff formatting
-        entry: sh scripts/pre-commit.sh
-        language: system
--- a/.readthedocs.yaml
+++ b/.readthedocs.yaml
@@ -1,36 +0,0 @@
-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
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,280 +5,16 @@ All notable changes to **Pipecat** will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

-## [0.0.53] - 2025-01-18
+## [Unreleased]

 ### Added

- Added `ElevenLabsHttpTTSService` and the
-  `07d-interruptible-elevenlabs-http.py` foundational example.
-
- Introduced pipeline frame observers. Observers can view all the frames that go
-  through the pipeline without the need to inject processors in the
-  pipeline. This can be useful, for example, to implement frame loggers or
-  debuggers among other things. The example
-  `examples/foundational/30-observer.py` shows how to add an observer to a
-  pipeline for debugging.
-
- Introduced heartbeat frames. The pipeline task can now push periodic
-  heartbeats down the pipeline when `enable_heartbeats=True`. Heartbeats are
-  system frames that are supposed to make it all the way to the end of the
-  pipeline. When a heartbeat frame is received the traversing time (i.e. the
-  time it took to go through the whole pipeline) will be displayed (with TRACE
-  logging) otherwise a warning will be shown. The example
-  `examples/foundational/31-heartbeats.py` shows how to enable heartbeats and
-  forces warnings to be displayed.
-
- Added `LLMTextFrame` and `TTSTextFrame` which should be pushed by LLM and TTS
-  services respectively instead of `TextFrame`s.
-
- Added `OpenRouter` for OpenRouter integration with an OpenAI-compatible
-  interface. Added foundational example `14m-function-calling-openrouter.py`.
-
- Added a new `WebsocketService` based class for TTS services, containing
-  base functions and retry logic.
-
- Added `DeepSeekLLMService` for DeepSeek integration with an OpenAI-compatible
-  interface. Added foundational example `14l-function-calling-deepseek.py`.
-
- Added `FunctionCallResultProperties` dataclass to provide a structured way to
-  control function call behavior, including:
-
-  - `run_llm`: Controls whether to trigger LLM completion
-  - `on_context_updated`: Optional callback triggered after context update
-
- Added a new foundational example `07e-interruptible-playht-http.py` for easy
-  testing of `PlayHTHttpTTSService`.
-
- Added support for Google TTS Journey voices in `GoogleTTSService`.
-
- Added `29-livekit-audio-chat.py`, as a new foundational examples for
-  `LiveKitTransportLayer`.
-
- Added `enable_prejoin_ui`, `max_participants` and `start_video_off` params
-  to `DailyRoomProperties`.
-
- Added `session_timeout` to `FastAPIWebsocketTransport` and
-  `WebsocketServerTransport` for configuring session timeouts (in
-  seconds). Triggers `on_session_timeout` for custom timeout handling.
-  See [examples/websocket-server/bot.py](https://github.com/pipecat-ai/pipecat/blob/main/examples/websocket-server/bot.py).
-
- Added the new modalities option and helper function to set Gemini output
-  modalities.
-
- Added `examples/foundational/26d-gemini-multimodal-live-text.py` which is
-  using Gemini as TEXT modality and using another TTS provider for TTS process.
-
-### Changed
-
- Modified `UserIdleProcessor` to start monitoring only after first
-  conversation activity (`UserStartedSpeakingFrame` or
-  `BotStartedSpeakingFrame`) instead of immediately.
-
- Modified `OpenAIAssistantContextAggregator` to support controlled completions
-  and to emit context update callbacks via `FunctionCallResultProperties`.
-
- Added `aws_session_token` to the `PollyTTSService`.
-
- Changed the default model for `PlayHTHttpTTSService` to `Play3.0-mini-http`.
-
- `api_key`, `aws_access_key_id` and `region` are no longer required parameters
-  for the PollyTTSService (AWSTTSService)
-
- Added `session_timeout` example in `examples/websocket-server/bot.py` to
-  handle session timeout event.
-
- Changed `InputParams` in
-  `src/pipecat/services/gemini_multimodal_live/gemini.py` to support different
-  modalities.
-
- Changed `DeepgramSTTService` to send `finalize` event whenever VAD detects
-  `UserStoppedSpeakingFrame`. This helps in faster transcriptions and clearing
-  the `Deepgram` audio buffer.
-
-### Fixed
-
- Fixed an issue where `DeepgramSTTService` was not generating metrics using
-  pipeline's VAD.
-
- Fixed `UserIdleProcessor` not properly propagating `EndFrame`s through the
-  pipeline.
-
- Fixed an issue where websocket based TTS services could incorrectly terminate
-  their connection due to a retry counter not resetting.
-
- Fixed a `PipelineTask` issue that would cause a dangling task after stopping
-  the pipeline with an `EndFrame`.
-
- Fixed an import issue for `PlayHTHttpTTSService`.
-
- Fixed an issue where languages couldn't be used with the `PlayHTHttpTTSService`.
-
- Fixed an issue where `OpenAIRealtimeBetaLLMService` audio chunks were hitting
-  an error when truncating audio content.
-
- Fixed an issue where setting the voice and model for `RimeHttpTTSService`
-  wasn't working.
-
- Fixed an issue where `IdleFrameProcessor` and `UserIdleProcessor` were getting
-  initialized before the start of the pipeline.
-
-## [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.
+- `GroqLLMService` and `GrokLLMService` for Groq and Grok API integration, with
+  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`.
+  and Fireworks: `14f-function-calling-groq.py`, `14g-function-calling-grok.py`,
+  `14h-function-calling-azure.py`, and `14i-function-calling-fireworks.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
@@ -297,16 +33,8 @@ async def on_audio_data(processor, audio, sample_rate, num_channels):

 ### 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
+- All input frames (text, audio, image, etc.) 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
@@ -321,9 +49,6 @@ async def on_audio_data(processor, audio, sample_rate, num_channels):
 - 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
@@ -331,27 +56,6 @@ async def on_audio_data(processor, audio, sample_rate, num_channels):

 ### 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.

--- a/2
+++ b/2
@@ -1,6 +1,6 @@
 BSD 2-Clause License

-Copyright (c) 2024–2025, Daily
+Copyright (c) 2024, Daily

 Redistribution and use in source and binary forms, with or without
 modification, are permitted provided that the following conditions are met:
--- a/README.md
+++ b/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>

-[![PyPI](https://img.shields.io/pypi/v/pipecat-ai)](https://pypi.org/project/pipecat-ai) [![Docs](https://img.shields.io/badge/Documentation-blue)](https://docs.pipecat.ai) [![Discord](https://img.shields.io/discord/1239284677165056021)](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>
+[![PyPI](https://img.shields.io/pypi/v/pipecat-ai)](https://pypi.org/project/pipecat-ai) [![Discord](https://img.shields.io/discord/1239284677165056021)](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.

@@ -53,27 +53,21 @@ To keep things lightweight, only the core framework is included by default. If y
 pip install "pipecat-ai[option,...]"
 ```

-Or you can install all of them with:
-
-```shell
-pip install "pipecat-ai[all]"
-```
-
 Available options include:

-| 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), [DeepSeek](https://docs.pipecat.ai/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [OpenRouter](https://docs.pipecat.ai/server/services/llm/openrouter), [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), [FastAPI Websocket](https://docs.pipecat.ai/server/services/transport/fastapi-websocket), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), 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]"`   |
+| 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), [Grok](https://docs.pipecat.ai/api-reference/services/llm/grok), [Groq](https://docs.pipecat.ai/api-reference/services/llm/groq) [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]"` |

-📚 [View full services documentation →](https://docs.pipecat.ai/server/services/supported-services)
+📚 [View full services documentation →](https://docs.pipecat.ai/api-reference/services/supported-services)

 ## Code examples

@@ -166,24 +160,15 @@ From the root of this repo, run the following:

 ```shell
 pip install -r dev-requirements.txt
+python -m build
 ```

-This will install the necessary development dependencies. Also, make sure you install the git pre-commit hooks:
-
-```shell
-pre-commit install
-```
-
-The hooks will just save you time when you submit a PR by making sure your code follows the project rules.
-
-To use the package locally (e.g. to run sample files), run:
+This builds the package. To use the package locally (e.g. to run sample files), run

 ```shell
 pip install --editable ".[option,...]"
 ```

-The `--editable` option makes sure you don't have to run `pip install` again and you can just edit the project files locally.
-
 If you want to use this package from another directory, you can run:

 ```shell
@@ -212,7 +197,9 @@ 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-check-command "ruff check --select I"))
+  (setq lazy-ruff-only-format-block t)
+  (setq lazy-ruff-only-format-region t)
+  (setq lazy-ruff-only-format-buffer t))
 ```

 `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.
@@ -222,6 +209,7 @@ 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
@@ -236,16 +224,6 @@ 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:
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -1,10 +1,8 @@
-build~=1.2.2
-grpcio-tools~=1.69.0
+build~=1.2.1
+grpcio-tools~=1.62.2
 pip-tools~=7.4.1
-pre-commit~=4.0.1
-pyright~=1.1.392
-pytest~=8.3.4
-ruff~=0.9.1
-setuptools~=75.8.0
+pyright~=1.1.376
+pytest~=8.3.2
+ruff~=0.6.7
+setuptools~=72.2.0
 setuptools_scm~=8.1.0
-python-dotenv~=1.0.1
--- a/docs/api/Makefile
+++ b/docs/api/Makefile
@@ -1,20 +0,0 @@
-# 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)
--- a/docs/api/README.md
+++ b/docs/api/README.md
@@ -1,109 +0,0 @@
-# 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/)
--- a/docs/api/build-docs.sh
+++ b/docs/api/build-docs.sh
@@ -1,10 +0,0 @@
-#!/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
--- a/docs/api/conf.py
+++ b/docs/api/conf.py
@@ -1,252 +0,0 @@
-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()
--- a/docs/api/index.rst
+++ b/docs/api/index.rst
@@ -1,77 +0,0 @@
-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`
--- a/docs/api/make.bat
+++ b/docs/api/make.bat
@@ -1,35 +0,0 @@
-@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
--- a/docs/api/requirements.txt
+++ b/docs/api/requirements.txt
@@ -1,40 +0,0 @@
-# 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]
--- a/docs/api/rtd-test.sh
+++ b/docs/api/rtd-test.sh
@@ -1,38 +0,0 @@
-#!/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"
--- a/dot-env.template
+++ b/dot-env.template
@@ -54,33 +54,5 @@ TAVUS_API_KEY=...
 TAVUS_REPLICA_ID=...
 TAVUS_PERSONA_ID=...

-# Simli
-SIMLI_API_KEY=...
-SIMLI_FACE_ID=...
-
-# Krisp
-KRISP_MODEL_PATH=...
-
-# DeepSeek
-DEEPSEEK_API_KEY=...
-
-# Groq
-GROQ_API_KEY=...
-
-# Grok
-GROK_API_KEY=...
-
-# Together.ai
-TOGETHER_API_KEY=...
-
-# Cerebras
-CEREBRAS_API_KEY=...
-
-# Fish Audio
-FISH_API_KEY=...
-
-# Assembly AI
-ASSEMBLYAI_API_KEY=...
-
-# OpenRouter
-OPENROUTER_API_KEY=...
+#Krisp
+KRISP_MODEL_PATH=...
--- a/examples/canonical-metrics/bot.py
+++ b/examples/canonical-metrics/bot.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -15,7 +15,7 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
+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
@@ -97,7 +97,7 @@ async def main():
        call completion, CanonicalMetrics will send the audio buffer to Canonical for
        analysis. Visit https://voice.canonical.chat to learn more.
        """
-        audio_buffer_processor = AudioBufferProcessor(num_channels=2)
+        audio_buffer_processor = AudioBufferProcessor()
        canonical = CanonicalMetricsService(
            audio_buffer_processor=audio_buffer_processor,
            aiohttp_session=session,
@@ -105,7 +105,6 @@ async def main():
            call_id=str(uuid.uuid4()),
            assistant="pipecat-chatbot",
            assistant_speaks_first=True,
-            context=context,
        )
        pipeline = Pipeline(
            [
@@ -125,7 +124,7 @@ async def main():
        @transport.event_handler("on_first_participant_joined")
        async def on_first_participant_joined(transport, participant):
            await transport.capture_participant_transcription(participant["id"])
-            await task.queue_frames([context_aggregator.user().get_context_frame()])
+            await task.queue_frames([LLMMessagesFrame(messages)])

        @transport.event_handler("on_participant_left")
        async def on_participant_left(transport, participant, reason):
--- a/examples/canonical-metrics/runner.py
+++ b/examples/canonical-metrics/runner.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/canonical-metrics/server.py
+++ b/examples/canonical-metrics/server.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/chatbot-audio-recording/bot.py
+++ b/examples/chatbot-audio-recording/bot.py
@@ -1,24 +1,24 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #

+import aiofiles
 import asyncio
-import datetime
 import io
 import os
 import sys
-import wave

-import aiofiles
 import aiohttp
+import datetime
+import wave
 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 EndFrame
+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
@@ -134,7 +134,7 @@ async def main():
        @transport.event_handler("on_first_participant_joined")
        async def on_first_participant_joined(transport, participant):
            await transport.capture_participant_transcription(participant["id"])
-            await task.queue_frames([context_aggregator.user().get_context_frame()])
+            await task.queue_frames([LLMMessagesFrame(messages)])

        @transport.event_handler("on_participant_left")
        async def on_participant_left(transport, participant, reason):
--- a/examples/chatbot-audio-recording/runner.py
+++ b/examples/chatbot-audio-recording/runner.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/chatbot-audio-recording/server.py
+++ b/examples/chatbot-audio-recording/server.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/deployment/flyio-example/bot.py
+++ b/examples/deployment/flyio-example/bot.py
@@ -1,21 +1,22 @@
-import argparse
 import asyncio
 import os
 import sys
-
-from dotenv import load_dotenv
-from loguru import logger
+import argparse

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
 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.services.elevenlabs import ElevenLabsTTSService
 from pipecat.transports.services.daily import DailyParams, DailyTransport

+from loguru import logger
+
+from dotenv import load_dotenv
+
 load_dotenv(override=True)

 logger.remove(0)
@@ -75,7 +76,7 @@ async def main(room_url: str, token: str):
    @transport.event_handler("on_first_participant_joined")
    async def on_first_participant_joined(transport, participant):
        await transport.capture_participant_transcription(participant["id"])
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMMessagesFrame(messages)])

    @transport.event_handler("on_participant_left")
    async def on_participant_left(transport, participant, reason):
--- a/examples/deployment/flyio-example/bot_runner.py
+++ b/examples/deployment/flyio-example/bot_runner.py
@@ -1,27 +1,29 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #

+import aiohttp
 import argparse
-import os
 import subprocess
+import os
+
 from contextlib import asynccontextmanager

-import aiohttp
-from dotenv import load_dotenv
-from fastapi import FastAPI, HTTPException, Request
+from fastapi import FastAPI, Request, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse

 from pipecat.transports.services.helpers.daily_rest import (
    DailyRESTHelper,
    DailyRoomObject,
-    DailyRoomParams,
    DailyRoomProperties,
+    DailyRoomParams,
 )

+from dotenv import load_dotenv
+
 load_dotenv(override=True)


--- a/examples/deployment/modal-example/app.py
+++ b/examples/deployment/modal-example/app.py
@@ -2,11 +2,12 @@ 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")
--- a/examples/deployment/modal-example/bot.py
+++ b/examples/deployment/modal-example/bot.py
@@ -13,7 +13,7 @@ logger.add(sys.stderr, level="DEBUG")

 async def main(room_url: str, token: str):
    from pipecat.audio.vad.silero import SileroVADAnalyzer
-    from pipecat.frames.frames import EndFrame
+    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
@@ -75,7 +75,7 @@ async def main(room_url: str, token: str):
    async def on_first_participant_joined(transport, participant):
        await transport.capture_participant_transcription(participant["id"])
        messages.append({"role": "system", "content": "Please introduce yourself to the user."})
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMMessagesFrame(messages)])

    @transport.event_handler("on_participant_left")
    async def on_participant_left(transport, participant, reason):
--- a/examples/deployment/modal-example/requirements.txt
+++ b/examples/deployment/modal-example/requirements.txt
@@ -1,5 +1,5 @@
 python-dotenv==1.0.1
-modal==0.71.3
-pipecat-ai[daily,silero,cartesia,openai]==0.0.52
-fastapi==0.115.6
-aiohttp==3.11.11
+modal==0.65.48
+pipecat-ai[daily,silero,cartesia,openai]==0.0.48
+fastapi==0.115.4
+aiohttp==3.10.10
--- a/examples/dialin-chatbot/bot_daily.py
+++ b/examples/dialin-chatbot/bot_daily.py
@@ -1,20 +1,21 @@
-import argparse
 import asyncio
 import os
 import sys
-
-from dotenv import load_dotenv
-from loguru import logger
+import argparse

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
 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 DailyDialinSettings, DailyParams, DailyTransport
+from pipecat.transports.services.daily import DailyParams, DailyTransport, DailyDialinSettings
+
+from loguru import logger
+
+from dotenv import load_dotenv

 load_dotenv(override=True)

@@ -81,7 +82,7 @@ async def main(room_url: str, token: str, callId: str, callDomain: str):
    @transport.event_handler("on_first_participant_joined")
    async def on_first_participant_joined(transport, participant):
        await transport.capture_participant_transcription(participant["id"])
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMMessagesFrame(messages)])

    @transport.event_handler("on_participant_left")
    async def on_participant_left(transport, participant, reason):
--- a/examples/dialin-chatbot/bot_runner.py
+++ b/examples/dialin-chatbot/bot_runner.py
@@ -7,14 +7,14 @@ provisioning a room and starting a Pipecat bot in response.
 Refer to README for more information.
 """

-import argparse
+import aiohttp
 import os
+import argparse
 import subprocess
+
 from contextlib import asynccontextmanager

-import aiohttp
-from dotenv import load_dotenv
-from fastapi import FastAPI, HTTPException, Request
+from fastapi import FastAPI, Request, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse, PlainTextResponse
 from twilio.twiml.voice_response import VoiceResponse
@@ -22,11 +22,13 @@ 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)


--- a/examples/dialin-chatbot/bot_twilio.py
+++ b/examples/dialin-chatbot/bot_twilio.py
@@ -1,22 +1,24 @@
-import argparse
 import asyncio
 import os
 import sys
-
-from dotenv import load_dotenv
-from loguru import logger
-from twilio.rest import Client
+import argparse

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
 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)
@@ -83,7 +85,7 @@ async def main(room_url: str, token: str, callId: str, sipUri: str):
    @transport.event_handler("on_first_participant_joined")
    async def on_first_participant_joined(transport, participant):
        await transport.capture_participant_transcription(participant["id"])
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMMessagesFrame(messages)])

    @transport.event_handler("on_participant_left")
    async def on_participant_left(transport, participant, reason):
--- a/examples/foundational/01-say-one-thing.py
+++ b/examples/foundational/01-say-one-thing.py
@@ -1,25 +1,27 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.runner import PipelineRunner
 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

+from runner import configure
+
+from loguru import logger
+
+from dotenv import load_dotenv
+
 load_dotenv(override=True)

 logger.remove(0)
--- a/examples/foundational/01a-local-audio.py
+++ b/examples/foundational/01a-local-audio.py
@@ -1,16 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -19,6 +17,10 @@ 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)
--- a/examples/foundational/01b-livekit-audio.py
+++ b/examples/foundational/01b-livekit-audio.py
@@ -4,9 +4,6 @@ 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
@@ -15,6 +12,12 @@ 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)
--- a/examples/foundational/01c-fastpitch.py
+++ b/examples/foundational/01c-fastpitch.py
@@ -1,54 +0,0 @@
-#
-# Copyright (c) 2024–2025, 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())
--- a/examples/foundational/02-llm-say-one-thing.py
+++ b/examples/foundational/02-llm-say-one-thing.py
@@ -1,18 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -21,6 +17,12 @@ 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)
--- a/examples/foundational/03-still-frame.py
+++ b/examples/foundational/03-still-frame.py
@@ -1,18 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -20,6 +16,12 @@ 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)
--- a/examples/foundational/03a-local-still-frame.py
+++ b/examples/foundational/03a-local-still-frame.py
@@ -1,17 +1,15 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
+import tkinter as tk

 from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -21,6 +19,10 @@ 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)
--- a/examples/foundational/04-utterance-and-speech.py
+++ b/examples/foundational/04-utterance-and-speech.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -8,24 +8,27 @@
 # This example broken on latest pipecat and needs updating.
 #

+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 EndPipeFrame, LLMMessagesFrame, TextFrame
 from pipecat.pipeline.merge_pipeline import SequentialMergePipeline
 from pipecat.pipeline.pipeline import Pipeline
+
+from pipecat.frames.frames import EndPipeFrame, LLMMessagesFrame, TextFrame
 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)
--- a/examples/foundational/05-sync-speech-and-image.py
+++ b/examples/foundational/05-sync-speech-and-image.py
@@ -1,18 +1,15 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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 dataclasses import dataclass

 from pipecat.frames.frames import (
    DataFrame,
@@ -25,13 +22,19 @@ 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.aggregators.sentence import SentenceAggregator
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
+from pipecat.processors.aggregators.sentence import SentenceAggregator
 from pipecat.services.cartesia import CartesiaHttpTTSService
-from pipecat.services.fal import FalImageGenService
 from pipecat.services.openai import OpenAILLMService
+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)
--- a/examples/foundational/05a-local-sync-speech-and-image.py
+++ b/examples/foundational/05a-local-sync-speech-and-image.py
@@ -1,25 +1,23 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
+import tkinter as tk

 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
@@ -28,11 +26,15 @@ 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.fal import FalImageGenService
 from pipecat.services.openai import OpenAILLMService
+from pipecat.services.fal import FalImageGenService
 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)
--- a/examples/foundational/06-listen-and-respond.py
+++ b/examples/foundational/06-listen-and-respond.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,7 +14,7 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame, Frame, MetricsFrame
+from pipecat.frames.frames import Frame, LLMMessagesFrame, MetricsFrame
 from pipecat.metrics.metrics import (
    LLMUsageMetricsData,
    ProcessingMetricsData,
@@ -47,7 +47,9 @@ class MetricsLogger(FrameProcessor):
                elif isinstance(d, LLMUsageMetricsData):
                    tokens = d.value
                    print(
-                        f"!!! MetricsFrame: {frame}, tokens: {tokens.prompt_tokens}, characters: {tokens.completion_tokens}"
+                        f"!!! MetricsFrame: {frame}, tokens: {
+                            tokens.prompt_tokens}, characters: {
+                            tokens.completion_tokens}"
                    )
                elif isinstance(d, TTSUsageMetricsData):
                    print(f"!!! MetricsFrame: {frame}, characters: {d.value}")
@@ -111,11 +113,7 @@ async def main():
            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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/06a-image-sync.py
+++ b/examples/foundational/06a-image-sync.py
@@ -1,21 +1,18 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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 EndFrame, Frame, OutputImageRawFrame, SystemFrame, TextFrame
+from pipecat.frames.frames import Frame, OutputImageRawFrame, SystemFrame, TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
@@ -23,7 +20,14 @@ 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 DailyParams, DailyTransport
+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

 load_dotenv(override=True)

@@ -126,10 +130,6 @@ async def main():
            await transport.capture_participant_transcription(participant["id"])
            await task.queue_frames([TextFrame(f"Hi there {participant_name}!")])

-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
-
        runner = PipelineRunner()

        await runner.run(task)
--- a/examples/foundational/07-interruptible-vad.py
+++ b/examples/foundational/07-interruptible-vad.py
@@ -1,28 +1,30 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
+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.processors.audio.vad.silero import SileroVAD
+from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 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)
@@ -90,11 +92,7 @@ async def main():
            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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07-interruptible.py
+++ b/examples/foundational/07-interruptible.py
@@ -1,20 +1,16 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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 EndFrame
+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
@@ -23,6 +19,12 @@ 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)
@@ -88,11 +90,7 @@ async def main():
            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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07a-interruptible-anthropic.py
+++ b/examples/foundational/07a-interruptible-anthropic.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,7 +14,7 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
+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
@@ -78,25 +78,13 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=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()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07b-interruptible-langchain.py
+++ b/examples/foundational/07b-interruptible-langchain.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -9,17 +9,9 @@ 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 EndFrame, LLMMessagesFrame
+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
@@ -31,6 +23,18 @@ 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)


@@ -101,15 +105,7 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True))

        @transport.event_handler("on_first_participant_joined")
        async def on_first_participant_joined(transport, participant):
@@ -122,10 +118,6 @@ async def main():
            messages = [({"content": "Please briefly introduce yourself to the user."})]
            await task.queue_frames([LLMMessagesFrame(messages)])

-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
-
        runner = PipelineRunner()

        await runner.run(task)
--- a/examples/foundational/07c-interruptible-deepgram-vad.py
+++ b/examples/foundational/07c-interruptible-deepgram-vad.py
@@ -1,117 +0,0 @@
-#
-# Copyright (c) 2024–2025, 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,
-    EndFrame,
-    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,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
-
-        runner = PipelineRunner()
-
-        await runner.run(task)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
--- a/examples/foundational/07c-interruptible-deepgram.py
+++ b/examples/foundational/07c-interruptible-deepgram.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,7 +14,7 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
+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
@@ -73,25 +73,13 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07d-interruptible-elevenlabs.py
+++ b/examples/foundational/07d-interruptible-elevenlabs.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -11,14 +11,14 @@ 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
-from pipecat.frames.frames import EndFrame
+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
@@ -88,11 +88,7 @@ async def main():
            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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07e-interruptible-playht-http.py
+++ b/examples/foundational/07e-interruptible-playht-http.py
@@ -1,105 +0,0 @@
-#
-# Copyright (c) 2024–2025, 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 EndFrame
-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
-from pipecat.services.playht import PlayHTHttpTTSService
-from pipecat.transcriptions.language import Language
-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 = PlayHTHttpTTSService(
-            user_id=os.getenv("PLAYHT_USER_ID"),
-            api_key=os.getenv("PLAYHT_API_KEY"),
-            voice_url="s3://voice-cloning-zero-shot/d9ff78ba-d016-47f6-b0ef-dd630f59414e/female-cs/manifest.json",
-        )
-
-        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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
-
-        runner = PipelineRunner()
-
-        await runner.run(task)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
--- a/examples/foundational/07e-interruptible-playht.py
+++ b/examples/foundational/07e-interruptible-playht.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,7 +14,7 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
+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
@@ -91,11 +91,7 @@ async def main():
            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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07f-interruptible-azure.py
+++ b/examples/foundational/07f-interruptible-azure.py
@@ -1,20 +1,16 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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 EndFrame
+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
@@ -22,6 +18,13 @@ 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)
@@ -82,26 +85,14 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07g-interruptible-openai-tts.py
+++ b/examples/foundational/07g-interruptible-openai-tts.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -11,14 +11,14 @@ 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
-from pipecat.frames.frames import EndFrame
+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

@@ -70,26 +70,14 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07h-interruptible-openpipe.py
+++ b/examples/foundational/07h-interruptible-openpipe.py
@@ -1,21 +1,16 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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 EndFrame
+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
@@ -24,6 +19,13 @@ 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)
@@ -80,26 +82,14 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07i-interruptible-xtts.py
+++ b/examples/foundational/07i-interruptible-xtts.py
@@ -1,20 +1,16 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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 EndFrame
+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
@@ -23,6 +19,12 @@ 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)
@@ -48,6 +50,7 @@ async def main():
        tts = XTTSService(
            aiohttp_session=session,
            voice_id="Claribel Dervla",
+            language="en",
            base_url="http://localhost:8000",
        )

@@ -74,26 +77,14 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07j-interruptible-gladia.py
+++ b/examples/foundational/07j-interruptible-gladia.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,7 +14,7 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
+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
@@ -79,22 +79,14 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=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([context_aggregator.user().get_context_frame()])
+            await task.queue_frames([LLMMessagesFrame(messages)])

        # Register an event handler to exit the application when the user leaves.
        @transport.event_handler("on_participant_left")
--- a/examples/foundational/07k-interruptible-lmnt.py
+++ b/examples/foundational/07k-interruptible-lmnt.py
@@ -1,20 +1,16 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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 EndFrame
+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
@@ -23,6 +19,12 @@ 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)
@@ -71,26 +73,14 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07l-interruptible-together.py
+++ b/examples/foundational/07l-interruptible-together.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,7 +14,7 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
+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
@@ -90,10 +90,7 @@ async def main():
        task = PipelineTask(
            pipeline,
            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
+                allow_interruptions=True, enable_metrics=True, enable_usage_metrics=True
            ),
        )

@@ -101,11 +98,7 @@ async def main():
        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()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07m-interruptible-polly.py
+++ b/examples/foundational/07m-interruptible-polly.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,12 +14,12 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
+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.aws import PollyTTSService
+from pipecat.services.aws import AWSTTSService
 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 = PollyTTSService(
+        tts = AWSTTSService(
            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=PollyTTSService.InputParams(engine="neural", language="en-GB", rate="1.05"),
+            params=AWSTTSService.InputParams(engine="neural", language="en-GB", rate="1.05"),
        )

        llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
@@ -80,26 +80,14 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07n-interruptible-google.py
+++ b/examples/foundational/07n-interruptible-google.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,7 +14,7 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
+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
@@ -22,7 +22,6 @@ 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)
@@ -51,8 +50,8 @@ async def main():
        stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))

        tts = GoogleTTSService(
-            voice_id="en-US-Journey-F",
-            params=GoogleTTSService.InputParams(language=Language.EN_US),
+            voice_id="en-US-Neural2-J",
+            params=GoogleTTSService.InputParams(language="en-US", rate="1.05"),
        )

        llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
@@ -79,26 +78,14 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07o-interruptible-assemblyai.py
+++ b/examples/foundational/07o-interruptible-assemblyai.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,7 +14,7 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
+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
@@ -79,26 +79,14 @@ async def main():
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07p-interruptible-google-audio-in.py
+++ b/examples/foundational/07p-interruptible-google-audio-in.py
@@ -1,41 +1,41 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #

+import aiohttp
 import asyncio
 import os
 import sys
-from dataclasses import dataclass

-import aiohttp
 import google.ai.generativelanguage as glm
+
+from dataclasses import dataclass
 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 (
-    EndFrame,
-    Frame,
-    InputAudioRawFrame,
-    LLMFullResponseEndFrame,
    LLMFullResponseStartFrame,
+    LLMFullResponseEndFrame,
+    InputAudioRawFrame,
+    Frame,
    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)

@@ -269,10 +269,6 @@ async def main():
            # Kick off the conversation.
            await task.queue_frames([context_aggregator.user().get_context_frame()])

-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
-
        runner = PipelineRunner()

        await runner.run(task)
--- a/examples/foundational/07p-interruptible-krisp.py
+++ b/examples/foundational/07p-interruptible-krisp.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -13,16 +13,19 @@ 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 EndFrame
+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.processors.aggregators.llm_response import (
+    LLMAssistantResponseAggregator,
+    LLMUserResponseAggregator,
+)
 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)

@@ -60,40 +63,28 @@ async def main():
            },
        ]

-        context = OpenAILLMContext(messages)
-        context_aggregator = llm.create_context_aggregator(context)
+        tma_in = LLMUserResponseAggregator(messages)
+        tma_out = LLMAssistantResponseAggregator(messages)

        pipeline = Pipeline(
            [
                transport.input(),  # Transport user input
                stt,  # STT
-                context_aggregator.user(),  # User responses
+                tma_in,  # User responses
                llm,  # LLM
                tts,  # TTS
                transport.output(),  # Transport bot output
-                context_aggregator.assistant(),  # Assistant spoken responses
+                tma_out,  # Assistant spoken responses
            ]
        )

-        task = PipelineTask(
-            pipeline,
-            PipelineParams(
-                allow_interruptions=True,
-                enable_metrics=True,
-                enable_usage_metrics=True,
-                report_only_initial_ttfb=True,
-            ),
-        )
+        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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07q-interruptible-rime.py
+++ b/examples/foundational/07q-interruptible-rime.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,7 +14,7 @@ from loguru import logger
 from runner import configure

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
+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
@@ -89,11 +89,7 @@ async def main():
            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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/07r-interruptible-riva-nim.py
+++ b/examples/foundational/07r-interruptible-riva-nim.py
@@ -1,96 +0,0 @@
-#
-# Copyright (c) 2024–2025, 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 EndFrame
-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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
-
-        runner = PipelineRunner()
-
-        await runner.run(task)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
--- a/examples/foundational/07t-interruptible-fish.py
+++ b/examples/foundational/07t-interruptible-fish.py
@@ -1,103 +0,0 @@
-#
-# Copyright (c) 2024–2025, 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 EndFrame
-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([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            await task.queue_frame(EndFrame())
-
-        runner = PipelineRunner()
-
-        await runner.run(task)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
--- a/examples/foundational/08-bots-arguing.py
+++ b/examples/foundational/08-bots-arguing.py
@@ -1,19 +1,20 @@
+from typing import Tuple
+import aiohttp
 import asyncio
 import logging
 import os
-from typing import Tuple
-
-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.pipeline.pipeline import Pipeline
+
+from pipecat.transports.services.daily import DailyTransport
 from pipecat.services.azure import AzureLLMService, AzureTTSService
 from pipecat.services.elevenlabs import ElevenLabsTTSService
 from pipecat.services.fal import FalImageGenService
-from pipecat.transports.services.daily import DailyTransport
+from pipecat.frames.frames import AudioFrame, EndFrame, ImageFrame, LLMMessagesFrame, TextFrame
+
+from runner import configure
+
+from dotenv import load_dotenv

 load_dotenv(override=True)

--- a/examples/foundational/09-mirror.py
+++ b/examples/foundational/09-mirror.py
@@ -1,17 +1,13 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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,
@@ -23,7 +19,13 @@ 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 DailyParams, DailyTransport
+from pipecat.transports.services.daily import DailyTransport, DailyParams
+
+from runner import configure
+
+from loguru import logger
+
+from dotenv import load_dotenv

 load_dotenv(override=True)

--- a/examples/foundational/09a-local-mirror.py
+++ b/examples/foundational/09a-local-mirror.py
@@ -1,17 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
+import tkinter as tk

 from pipecat.frames.frames import (
    Frame,
@@ -28,6 +25,12 @@ 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)
--- a/examples/foundational/10-wake-phrase.py
+++ b/examples/foundational/10-wake-phrase.py
@@ -1,18 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -23,6 +19,12 @@ 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)
--- a/examples/foundational/11-sound-effects.py
+++ b/examples/foundational/11-sound-effects.py
@@ -1,38 +1,38 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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,
-    OpenAILLMContextFrame,
-)
+from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.processors.logger import FrameLogger
-from pipecat.services.cartesia import CartesiaTTSService
+from pipecat.services.cartesia import CartesiaHttpTTSService
 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, OpenAILLMContextFrame):
+        if isinstance(frame, LLMMessagesFrame):
            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 = CartesiaTTSService(
+        tts = CartesiaHttpTTSService(
            api_key=os.getenv("CARTESIA_API_KEY"),
            voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22",  # British Lady
        )
--- a/examples/foundational/12-describe-video.py
+++ b/examples/foundational/12-describe-video.py
@@ -1,18 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -25,6 +21,12 @@ 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)
--- a/examples/foundational/12a-describe-video-gemini-flash.py
+++ b/examples/foundational/12a-describe-video-gemini-flash.py
@@ -1,18 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -25,6 +21,12 @@ 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)
--- a/examples/foundational/12b-describe-video-gpt-4o.py
+++ b/examples/foundational/12b-describe-video-gpt-4o.py
@@ -1,18 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -25,6 +21,12 @@ 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)
--- a/examples/foundational/12c-describe-video-anthropic.py
+++ b/examples/foundational/12c-describe-video-anthropic.py
@@ -1,18 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -21,10 +17,16 @@ 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.anthropic import AnthropicLLMService
 from pipecat.services.cartesia import CartesiaTTSService
+from pipecat.services.anthropic import AnthropicLLMService
 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)
--- a/examples/foundational/13-whisper-transcription.py
+++ b/examples/foundational/13-whisper-transcription.py
@@ -1,17 +1,13 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -20,6 +16,12 @@ 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)
--- a/examples/foundational/13a-whisper-local.py
+++ b/examples/foundational/13a-whisper-local.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -7,9 +7,6 @@
 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
@@ -19,6 +16,10 @@ 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)
--- a/examples/foundational/13b-deepgram-transcription.py
+++ b/examples/foundational/13b-deepgram-transcription.py
@@ -1,26 +1,28 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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, Language, LiveOptions
+from pipecat.services.deepgram import DeepgramSTTService, LiveOptions, Language
 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)
--- a/examples/foundational/13c-gladia-transcription.py
+++ b/examples/foundational/13c-gladia-transcription.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/foundational/13d-assemblyai-transcription.py
+++ b/examples/foundational/13d-assemblyai-transcription.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/foundational/14-function-calling.py
+++ b/examples/foundational/14-function-calling.py
@@ -1,19 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -22,6 +17,14 @@ 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)
--- a/examples/foundational/14a-function-calling-anthropic.py
+++ b/examples/foundational/14a-function-calling-anthropic.py
@@ -1,27 +1,29 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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.anthropic import AnthropicLLMService
 from pipecat.services.cartesia import CartesiaTTSService
+from pipecat.services.anthropic import AnthropicLLMService
 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)
--- a/examples/foundational/14b-function-calling-anthropic-video.py
+++ b/examples/foundational/14b-function-calling-anthropic-video.py
@@ -1,27 +1,29 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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.anthropic import AnthropicLLMService
 from pipecat.services.cartesia import CartesiaTTSService
+from pipecat.services.anthropic import AnthropicLLMService
 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)
--- a/examples/foundational/14c-function-calling-together.py
+++ b/examples/foundational/14c-function-calling-together.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/foundational/14d-function-calling-video.py
+++ b/examples/foundational/14d-function-calling-video.py
@@ -1,19 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -22,6 +17,14 @@ 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)
--- a/examples/foundational/14e-function-calling-gemini.py
+++ b/examples/foundational/14e-function-calling-gemini.py
@@ -1,18 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -22,6 +18,12 @@ 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)
--- a/examples/foundational/14f-function-calling-groq.py
+++ b/examples/foundational/14f-function-calling-groq.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/foundational/14g-function-calling-grok.py
+++ b/examples/foundational/14g-function-calling-grok.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/foundational/14h-function-calling-azure.py
+++ b/examples/foundational/14h-function-calling-azure.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/foundational/14i-function-calling-fireworks.py
+++ b/examples/foundational/14i-function-calling-fireworks.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
--- a/examples/foundational/14j-function-calling-nim.py
+++ b/examples/foundational/14j-function-calling-nim.py
@@ -1,140 +0,0 @@
-#
-# Copyright (c) 2024–2025, 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())
--- a/examples/foundational/14k-function-calling-cerebras.py
+++ b/examples/foundational/14k-function-calling-cerebras.py
@@ -1,148 +0,0 @@
-#
-# Copyright (c) 2024–2025, 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())
--- a/examples/foundational/14l-function-calling-deepseek.py
+++ b/examples/foundational/14l-function-calling-deepseek.py
@@ -1,148 +0,0 @@
-#
-# 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.deepseek import DeepSeekLLMService
-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 = DeepSeekLLMService(api_key=os.getenv("DEEPSEEK_API_KEY"), model="deepseek-chat")
-        # 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())
--- a/examples/foundational/14m-function-calling-openrouter.py
+++ b/examples/foundational/14m-function-calling-openrouter.py
@@ -1,142 +0,0 @@
-#
-# Copyright (c) 2024–2025, 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.processors.aggregators.openai_llm_context import OpenAILLMContext
-from pipecat.services.azure import AzureTTSService
-from pipecat.services.openrouter import OpenRouterLLMService
-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 = AzureTTSService(
-            api_key=os.getenv("AZURE_API_KEY"),
-            region="eastus",
-            voice="en-US-JennyNeural",
-            params=AzureTTSService.InputParams(language="en-US", rate="1.1", style="cheerful"),
-        )
-
-        llm = OpenRouterLLMService(
-            api_key=os.getenv("OPENROUTER_API_KEY"), model="openai/gpt-4o-2024-11-20"
-        )
-        # 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,
-                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())
--- a/examples/foundational/15-switch-voices.py
+++ b/examples/foundational/15-switch-voices.py
@@ -1,22 +1,18 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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.pipeline.parallel_pipeline import ParallelPipeline
+from pipecat.frames.frames import LLMMessagesFrame
 from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.parallel_pipeline import ParallelPipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
@@ -25,6 +21,14 @@ 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)
@@ -145,7 +149,7 @@ async def main():
                    "content": f"Please introduce yourself to the user and let them know the voices you can do. Your initial responses should be as if you were a {current_voice}.",
                }
            )
-            await task.queue_frames([context_aggregator.user().get_context_frame()])
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/15a-switch-languages.py
+++ b/examples/foundational/15a-switch-languages.py
@@ -1,32 +1,34 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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.pipeline.parallel_pipeline import ParallelPipeline
+from pipecat.frames.frames import LLMMessagesFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.parallel_pipeline import ParallelPipeline
 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)
@@ -59,16 +61,13 @@ 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
@@ -114,7 +113,6 @@ 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)
@@ -138,7 +136,7 @@ async def main():
                    "content": f"Please introduce yourself to the user and let them know the languages you speak. Your initial responses should be in {current_language}.",
                }
            )
-            await task.queue_frames([context_aggregator.user().get_context_frame()])
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/examples/foundational/16-gpu-container-local-bot.py
+++ b/examples/foundational/16-gpu-container-local-bot.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #
@@ -14,6 +14,7 @@ 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
@@ -97,7 +98,7 @@ async def main():
        @transport.event_handler("on_first_participant_joined")
        async def on_first_participant_joined(transport, participant):
            messages.append({"role": "system", "content": "Please introduce yourself to the user."})
-            await task.queue_frames([context_aggregator.user().get_context_frame()])
+            await task.queue_frames([LLMMessagesFrame(messages)])

        # Handle "latency-ping" messages. The client will send app messages that look like
        # this:
--- a/examples/foundational/17-detect-user-idle.py
+++ b/examples/foundational/17-detect-user-idle.py
@@ -1,18 +1,14 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, 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
@@ -24,6 +20,12 @@ 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)
@@ -100,7 +102,7 @@ async def main():
            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([context_aggregator.user().get_context_frame()])
+            await task.queue_frames([LLMMessagesFrame(messages)])

        runner = PipelineRunner()

--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Mark Backman	752ad01ccd	Initial commit for full stack chatbot	2024-12-04 18:10:40 -05:00
allenmylath	c582297547	Update examples/patient-intake/README.md Co-authored-by: Mark Backman <m.backman@gmail.com>	2024-12-04 18:10:34 -05:00
allenmylath	0aa1ab0ead	Update README.md	2024-12-04 18:10:34 -05:00
allenmylath	2d3a4d08f3	Update README.md	2024-12-04 18:10:34 -05:00