add remote participant updates to DailyTransport

Add remote participant updates to DailyTransport (#2694 )
* add remote participant updates to DailyTransport * cleanup * cleanup * ruff cleanup again
2025-09-19 21:15:07 +00:00 · 2025-09-19 21:15:07 +00:00 · 2025-09-19 21:15:07 +00:00 · 2025-09-19 21:15:07 +00:00 · 2025-09-19 21:15:07 +00:00 · 2025-09-19 21:15:07 +00:00
334 changed files with 24389 additions and 13471 deletions
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -7,11 +7,548 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

 ## [Unreleased]

+### Added
+
+- Added `on_before_disconnect` synchronous event to `DailyTransport` and
+  `LiveKitTransport`.
+
+- It is now possible to register synchronous event handlers. By default, all
+  event handlers are executed in a separate task. However, in some cases we want
+  to guarantee order of execution, for example, executing something before
+  disconnecting a transport.
+
+  ```python
+  self._register_event_handler("on_event_name", sync=True)
+  ```
+
+- Added support for global location in `GoogleVertexLLMService`. The service now
+  supports both regional locations (e.g., "us-east4") and the "global" location
+  for Vertex AI endpoints. When using "global" location, the service will use
+  `aiplatform.googleapis.com` as the API host instead of the regional format.
+
+- Added `on_pipeline_finished` event to `PipelineTask`. This event will get
+  fired when the pipeline is done running. This can be the result of a
+  `StopFrame`, `CancelFrame` or `EndFrame`.
+
+  ```python
+  @task.event_handler("on_pipeline_finished")
+  async def on_pipeline_finished(task: PipelineTask, frame: Frame):
+      ...
+  ```
+
+### Changed
+
+- Updated Silero VAD model to v6.
+
+- Updated `livekit` to 1.0.13.
+
+- `torch` and `torchaudio` are no longer required for running Smart Turn
+  locally. This avoids gigabytes of dependencies being installed.
+
+- Updated `websockets` dependency to support version 15.0. Removed deprecated
+  usage of `ConnectionClosed.code` and `ConnectionClosed.reason` attributes in
+  `AWSTranscribeSTTService` for compatibility.
+
+- Refactored `pyproject.toml` to reduce websockets dependency repetition using
+  self-referencing extras. All websockets-dependent services now reference a
+  shared `websockets-base` extra.
+
+### Deprecated
+
+- `GladiaSTTService`'s `confidence` arg is deprecated. `confidence` is no
+  longer needed to determine which transcription or translation frames to
+  emit.
+
+- `PipelineTask` events `on_pipeline_stopped`, `on_pipeline_ended` and
+  `on_pipeline_cancelled` are now deprecated. Use `on_pipeline_finished`
+  instead.
+
 ### Fixed

+- Fixed an issue where multiple handlers for an event would not run in parallel.
+
+- Fixed `DailyTransport.sip_call_transfer()` to automatically use the session
+  ID from the `on_dialin_connected` event, when not explicitly provided. Now
+  supports cold transfers (from incoming dial-in calls) by automatically
+  tracking session IDs from connection events.
+
+- Fixed a memory leak in `SmallWebRTCTransport`. In `aiortc`, when you receive
+  a `MediaStreamTrack` (audio or video), frames are produced asynchronously. If
+  the code never consumes these frames, they are queued in memory, causing a
+  memory leak.
+
+- Fixed an issue in `AsyncAITTSService`, where `TTSTextFrames` were not being
+  pushed.
+
+- Fixed an issue that would cause `push_interruption_task_frame_and_wait()` to
+  not wait if a previous interruption had already happened.
+
+- Fixed a couple of bugs in `ServiceSwitcher`:
+
+  - Using multiple `ServiceSwitcher`s in a pipeline would result in an error.
+  - `ServiceSwitcherFrame`s (such as `ManuallySwitchServiceFrame`s) were having
+    an effect too early, essentially "jumping the queue" in terms of pipeline
+    frame ordering.
+
+- Fixed a self-cancellation deadlock in `UserIdleProcessor` when returning
+  `False` from an idle callback. The task now terminates naturally instead of
+  attempting to cancel itself.
+
+- Fixed an issue in `AudioBufferProcessor` where a recording is not created
+  when a bot speaks and user input is blocked.
+
+- Fixed a `FastAPIWebsocketTransport` and `SmallWebRTCTransport` issue where
+  `on_client_disconnected` would be triggered when the bot ends the
+  conversation. That is, `on_client_disconnected` should only be triggered when
+  the remote client actually disconnects.
+
+- Fixed an issue in `HeyGenVideoService` where the `BotStartedSpeakingFrame`
+  was blocked from moving through the Pipeline.
+
+## [0.0.85] - 2025-09-12
+
+### Added
+
+- `AzureSTTService` now pushes interim transcriptions.
+
+- Added `voice_cloning_key` to `GoogleTTSService` to support custom cloned
+  voices.
+
+- Added `speaking_rate` to `GoogleTTSService.InputParams` to control the
+  speaking rate.
+
+- Added a `speed` arg to `OpenAITTSService` to control the speed of the voice
+  response.
+
+- Added `FrameProcessor.push_interruption_task_frame_and_wait()`. Use this
+  method to programatically interrupt the bot from any part of the
+  pipeline. This guarantees that all the processors in the pipeline are
+  interrupted in order (from upstream to downstream). Internally, this works by
+  first pushing an `InterruptionTaskFrame` upstream until it reaches the
+  pipeline task. The pipeline task then generates an `InterruptionFrame`, which
+  flows downstream through all processors. Once the `InterruptionFrame` has
+  reaches the processor waiting for the interruption, the function returns and
+  execution continues after the call. Think of it as sending an upstream request
+  for interruption and waiting until the acknowledgment flows back downstream.
+
+- Added new base `TaskFrame` (which is a system frame). This is the base class
+  for all task frames (`EndTaskFrame`, `CancelTaskFrame`, etc.) that are meant
+  to be pushed upstream to reach the pipeline task.
+
+- Expanded support for universal `LLMContext` to the AWS Bedrock LLM service.
+  Using the universal `LLMContext` and associated `LLMContextAggregatorPair` is
+  a pre-requisite for using `LLMSwitcher` to switch between LLMs at runtime.
+
+- Added new fields to the development runner's `parse_telephony_websocket`
+  method in support of providing dynamic data to a bot.
+
+  - Twilio: Added a new `body` parameter, which parses the websocket message
+    for `customParameters`. Provide data via the `Parameter` nouns in your
+    TwiML to use this feature.
+  - Telnyx & Exotel: Both providers make the `to` and `from` phone numbers
+    available in the websocket messages. You can now access these numbers as
+    `call_data["to"]` and `call_data["from"]`.
+
+  Note: Each telephony provider offers different features. Refer to the
+  corresponding example in `pipecat-examples` to see how to pass custom data
+  to your bot.
+
+- Added `body` to the `WebsocketRunnerArguments` as an optional parameter.
+  Custom `body` information can be passed from the server into the bot file via
+  the `bot()` method using this new parameter.
+
+- Added video streaming support to `LiveKitTransport`.
+
+- Added `OpenAIRealtimeLLMService` and `AzureRealtimeLLMService` which provide
+  access to OpenAI Realtime.
+
+### Changed
+
+- `pipeline.tests.utils.run_test()` now allows passing `PipelineParams` instead
+  of individual parameters.
+
+### Removed
+
+- Remove `VisionImageRawFrame` in favor of context frames (`LLMContextFrame` or
+  `OpenAILLMContextFrame`).
+
+### Deprecated
+
+- `BotInterruptionFrame` is now deprecated, use `InterruptionTaskFrame` instead.
+
+- `StartInterruptionFrame` is now deprected, use `InterruptionFrame` instead.
+
+- Deprecate `VisionImageFrameAggregator` because `VisionImageRawFrame` has been
+  removed. See the `12*` examples for the new recommended replacement pattern.
+
+- `NoisereduceFilter` is now deprecated and will be removed in a future
+  version. Use other audio filters like `KrispFilter` or `AICFilter`.
+
+- Deprecated `OpenAIRealtimeBetaLLMService` and `AzureRealtimeBetaLLMService`.
+  Use `OpenAIRealtimeLLMService` and `AzureRealtimeLLMService`, respectively.
+  Each service will be removed in an upcoming version, 1.0.0.
+
+### Fixed
+
+- Fixed a `BaseOutputTransport` issue that caused incorrect detection of when
+  the bot stopped talking while using an audio mixer.
+
+- Fixed a `LiveKitTransport` issue where RTVI messages were not properly
+  encoded.
+
+- Add additional fixups to Mistral context messages to ensure they meet
+  Mistral-specific requirements, avoiding Mistral "invalid request" errors.
+
+- Fixed `DailyTransport` transcription handling to gracefully handle missing
+  `rawResponse` field in transcription messages, preventing KeyError crashes.
+
+## [0.0.84] - 2025-09-05
+
+### Added
+
+- Add the ability to send DTMF to `LiveKitTransport`.
+
+- Expanded support for universal `LLMContext` to the Anthropic LLM service.
+  Using the universal `LLMContext` and associated `LLMContextAggregatorPair` is
+  a pre-requisite for using `LLMSwitcher` to switch between LLMs at runtime.
+
+### Changed
+
+- Updated `daily-python` to 0.19.9.
+
+- Restored `DailyTransport`'s native DTMF support using Daily's `send_dtmf()`
+  method instead of generated audio tones.
+
+### Fixed
+
+- Fixed a `AWSBedrockLLMService` crash caused by an extra `await`.
+
+- Fixed a `OpenAIImageGenService` issue where it was not creating
+  `URLImageRawFrame` correctly.
+
+## [0.0.83] - 2025-09-03
+
+### Added
+
+- Added multilingual support for AsyncAI in `AsyncAITTSService` and `AsyncAIHttpTTSService`.
+
+  - New `languages`: `es`, `fr`, `de`, `it`.
+
+- Added new frames `InputTransportMessageUrgentFrame` and
+  `DailyInputTransportMessageUrgentFrame` for transport messages received from
+  external sources.
+
+- Added `UserSpeakingFrame`. This will be sent upstream and downstream while VAD
+  detects the user is speaking.
+
+- Expanded support for universal `LLMContext` to more LLM services. Using the
+  universal `LLMContext` and associated `LLMContextAggregatorPair` is a
+  pre-requisite for using `LLMSwitcher` to switch between LLMs at runtime.
+  Here are the newly-supported services:
+
+  - Azure
+  - Cerebras
+  - Deepseek
+  - Fireworks AI
+  - Google Vertex AI
+  - Grok
+  - Groq
+  - Mistral
+  - NVIDIA NIM
+  - Ollama
+  - OpenPipe
+  - OpenRouter
+  - Perplexity
+  - Qwen
+  - SambaNova
+  - Together.ai
+
+- Added support for WhatsApp User-initiated Calls.
+
+- Added new audio filter `AICFilter`, speech enhancement for improving VAD/STT
+  performance, no ONNX dependency.
+  See https://ai-coustics.com/sdk/
+
+- Added a timeout around cancel input tasks to prevent indefinite hangs when
+  cancellation is swallowed by third-party code.
+
+- Added `pipecat.extensions.ivr` for automated IVR system navigation with
+  configurable goals and conversation handling. Supports DTMF input, verbal
+  responses, and intelligent menu traversal.
+
+  Basic usage:
+
+  ```python
+  from pipecat.extensions.ivr.ivr_navigator import IVRNavigator
+
+  # Create IVR navigator with your goal
+  ivr_navigator = IVRNavigator(
+      llm=llm_service,
+      ivr_prompt="Navigate to billing department to dispute a charge"
+  )
+
+  # Handle different outcomes
+  @ivr_navigator.event_handler("on_conversation_detected")
+  async def on_conversation(processor, conversation_history):
+      # Switch to normal conversation mode
+      pass
+
+  @ivr_navigator.event_handler("on_ivr_status_changed")
+  async def on_ivr_status(processor, status):
+      if status == IVRStatus.COMPLETED:
+          # End pipeline, transfer call, or start bot conversation
+      elif status == IVRStatus.STUCK:
+          # Handle navigation failure
+  ```
+
+- `BaseOutputTransport` now implements `write_dtmf()` by loading DTMF audio and
+  sending it through the transport. This makes sending DTMF generic across all
+  output transports.
+
+- Added new config parameters to `GladiaSTTService`.
+  - PreProcessingConfig > `audio_enhancer` to enhance audio quality.
+  - CustomVocabularyItem > `pronunciations` and `language` to specify special
+    pronunciations and in which language it will be pronounced.
+
+### Changed
+
+- `UserStartedSpeakingFrame` and `UserStoppedSpeakingFrame` are also pushed
+  upstream.
+
+- `ParallelPipeline` now waits for `CancelFrame` to finish in all branches
+  before pushing it downstream.
+
+- Added `sip_codecs` to the `DailyRoomSipParams`.
+
+- Updated the `configure()` function in `pipecat.runner.daily` to include new
+  args to create SIP-enabled rooms. Additionally, added new args to control the
+  room and token expiration durations.
+
+- `pipecat.frames.frames.KeypadEntry` is deprecated and has been moved to
+  `pipecat.audio.dtmf.types.KeypadEntry`.
+
+- Updated `RimeTTSService`'s flush_audio message to conform with Rime's official
+  API.
+
+- Updated the default model for `CerebrasLLMService` to GPT-OSS-120B.
+
+### Removed
+
+- Remove `StopInterruptionFrame`. This was a legacy frame that was not being
+  used really anywhere and it didn't provide any useful meaning. It was only
+  pushed after `UserStoppedSpeakingFrame`, so developers can just use
+  `UserStoppedSpeakingFrame`.
+
+- `DailyTransport.write_dtmf()` has been removed in favor of the generic
+  `BaseOutputTransport.write_dtmf()`.
+
+- Remove deprecated `DailyTransport.send_dtmf()`.
+
+### Deprecated
+
+- Transports have been re-organized.
+
+  ```
+  pipecat.transports.network.small_webrtc        -> pipecat.transports.smallwebrtc.transport
+  pipecat.transports.network.webrtc_connection   -> pipecat.transports.smallwebrtc.connection
+  pipecat.transports.network.websocket_client    -> pipecat.transports.websocket.client
+  pipecat.transports.network.websocket_server    -> pipecat.transports.websocket.server
+  pipecat.transports.network.fastapi_websocket   -> pipecat.transports.websocket.fastapi
+  pipecat.transports.services.daily              -> pipecat.transports.daily.transport
+  pipecat.transports.services.helpers.daily_rest -> pipecat.transports.daily.utils
+  pipecat.transports.services.livekit            -> pipecat.transports.livekit.transport
+  pipecat.transports.services.tavus              -> pipecat.transports.tavus.transport
+  ```
+
+- `pipecat.frames.frames.KeypadEntry` is deprecated use
+  `pipecat.audio.dtmf.types.KeypadEntry` instead.
+
+### Fixed
+
+- Fixed an issue where messages received from the transport were always being resent.
+
+- Fixed `SmallWebRTCTransport` to not use `mid` to decide if the transceiver should
+  be `sendrecv` or not.
+
+- Fixed an issue where Deepgram swallowed `asyncio.CancelledError` during
+  disconnect, preventing tasks from being cancelled.
+
+- Fixed an issue where `PipelineTask` was not cleaning up the observers.
+
+### Performance
+
+- Reduced latency and improved memory performance in `Mem0MemoryService`.
+
+## [0.0.82] - 2025-08-28
+
+### Added
+
+- Added a new `LLMRunFrame` to trigger an LLM response:
+
+  ```python
+  await task.queue_frames([LLMRunFrame()])
+  ```
+
+  This replaces `OpenAILLMContextFrame`, which you’d previously typically use
+  like this:
+
+  ```python
+  await task.queue_frames([context_aggregator.user().get_context_frame()])
+  ```
+
+  Use this way of kicking off your conversation when you’ve already initialized
+  your context and are simply instructing the bot when to go:
+
+  ```python
+  context = OpenAILLMContext(messages, tools)
+  context_aggregator = llm.create_context_aggregator(context)
+
+  # ...
+
+  @transport.event_handler("on_client_connected")
+  async def on_client_connected(transport, client):
+      # Kick off the conversation.
+      await task.queue_frames([LLMRunFrame()])
+  ```
+
+  Note that if you want to add new messages when kicking off the conversation,
+  you could use `LLMMessagesAppendFrame` with `run_llm=True` instead:
+
+  ```python
+  @transport.event_handler("on_client_connected")
+  async def on_client_connected(transport, client):
+      # Kick off the conversation.
+      await task.queue_frames([LLMMessagesAppendFrame(new_messages, run_llm=True)])
+  ```
+
+  In the rare case you don’t have a context aggregator in your pipeline, then
+  you may continue using a context frame.
+
+- Added support for switching between audio+text to text-only modes within the
+  same pipeline. This is done by pushing
+  `LLMConfigureOutputFrame(skip_tts=True)` to enter text-only mode, and
+  disabling it to return to audio+text. The LLM will still generate tokens and
+  add them to the context, but they will not be sent to TTS.
+
+- Added `skip_tts` field to `TextFrame`. This lets a text frame bypass TTS while
+  still being included in the LLM context. Useful for cases like structured text
+  that isn’t meant to be spoken but should still contribute to context.
+
+- Added a `cancel_timeout_secs` argument to `PipelineTask` which defines how
+  long the pipeline has to complete cancellation. When `PipelineTask.cancel()`
+  is called, a `CancelFrame` is pushed through the pipeline and must reach the
+  end. If it does not reach the end within the specified time, a warning is
+  shown and the wait is aborted.
+
+- Added a new "universal" (LLM-agnostic) `LLMContext` and accompanying
+  `LLMContextAggregatorPair`, which will eventually replace `OpenAILLMContext`
+  (and the other under-the-hood contexts) and the other context aggregators.
+  The new universal `LLMContext` machinery allows a single context to be shared
+  between different LLMs, enabling runtime LLM switching and scenarios like
+  failover.
+
+  From the developer's point of view, switching to using the new universal
+  context machinery will usually be a matter of going from this:
+
+  ```python
+  context = OpenAILLMContext(messages, tools)
+  context_aggregator = llm.create_context_aggregator(context)
+  ```
+
+  To this:
+
+  ```python
+  context = LLMContext(messages, tools)
+  context_aggregator = LLMContextAggregatorPair(context)
+  ```
+
+  To start, the universal `LLMContext` is supported with the following LLM
+  services:
+
+  - `OpenAILLMService`
+  - `GoogleLLMService`
+
+- Added a new `LLMSwitcher` class to enable runtime LLM switching, built atop a
+  new generic `ServiceSwitcher`.
+
+  Switchers take a switching strategy. The first available strategy is
+  `ServiceSwitcherStrategyManual`.
+
+  To switch LLMs at runtime, the LLMs must be sharing one instance of the new
+  universal `LLMContext` (see above bullet).
+
+  ```python
+  # Instantiate your LLM services
+  llm_openai = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+  llm_google = GoogleLLMService(api_key=os.getenv("GOOGLE_API_KEY"))
+
+  # Instantiate a switcher
+  # (ServiceSwitcherStrategyManual defaults to OpenAI, as it's first in the list)
+  llm_switcher = LLMSwitcher(
+      llms=[llm_openai, llm_google], strategy_type=ServiceSwitcherStrategyManual
+  )
+
+  # Create your pipeline
+  pipeline = Pipeline(
+    [
+        transport.input(),
+        stt,
+        context_aggregator.user(),
+        llm_switcher,
+        tts,
+        transport.output(),
+        context_aggregator.assistant(),
+    ]
+  )
+  task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
+
+  # ...
+  # Whenever is appropriate, switch LLMs!
+  await task.queue_frames([ManuallySwitchServiceFrame(service=llm_google)])
+  ```
+
+- Added an `LLMService.run_inference()` method to LLM services to enable
+  direct, out-of-band (i.e. out-of-pipeline) inference.
+
+### Changed
+
+- Updated `daily-python` to 0.19.8.
+
+- `PipelineTask` now waits for `StartFrame` to reach the end of the pipeline
+  before pushing any other frames.
+
+- Updated `CartesiaTTSService` and `CartesiaHttpTTSService` to align with
+  Cartesia's changes for the `speed` parameter. It now takes only an enum of
+  `slow`, `normal`, or `fast`.
+
+- Added support to `AWSBedrockLLMService` for setting authentication
+  credentials through environment variables.
+
+- Updated `SarvamTTSService` to use WebSocket streaming for real-time audio
+  generation with multiple Indian languages, with HTTP support still available
+  via `SarvamHttpTTSService`.
+
+### Fixed
+
+- Fixed an RTVI issue that was causing frames to be pushed before pipeline was
+  properly initialized.
+
+- Fixed some `get_messages_for_logging()` that were returning a JSON string
+  instead of a list.
+
+- Fixed a `DailyTransport` issue that prevented DTMF tones from being sent.
+
+- Fixed a missing import in `SentryMetrics`.
+
+- Fixed `AWSPollyTTSService` to support AWS credential provider chain (IAM
+  roles, IRSA, instance profiles) instead of requiring explicit environment
+  variables.
+
 - Fixed a `CartesiaTTSService` issue that was causing the application to hang
  after Cartesia's 5 minutes timed out.

+- Fixed an issue preventing `SpeechmaticsSTTService` from transcribing audio.
+
 ## [0.0.81] - 2025-08-25

 ### Added
@@ -61,8 +598,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

 ### Deprecated

- `FrameProcessor.wait_for_task()` is deprecated. Use `await task` or `await
-  asyncio.wait_for(task, timeout)` instead.
+- `FrameProcessor.wait_for_task()` is deprecated. Use `await task` or
+  `await asyncio.wait_for(task, timeout)` instead.

 ### Removed

--- a/README.md
+++ b/README.md
@@ -21,6 +21,8 @@

 🧭 Looking to build structured conversations? Check out [Pipecat Flows](https://github.com/pipecat-ai/pipecat-flows) for managing complex conversational states and transitions.

+🔍 Looking for help debugging your pipeline and processors? Check out [Whisker](https://github.com/pipecat-ai/whisker), a real-time Pipecat debugger.
+
 ## 🧠 Why Pipecat?

 - **Voice-first**: Integrates speech recognition, text-to-speech, and conversation handling
@@ -28,6 +30,41 @@
 - **Composable Pipelines**: Build complex behavior from modular components
 - **Real-Time**: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)

+## 📱 Client SDKs
+
+You can connect to Pipecat from any platform using our official SDKs:
+
+<table>
+  <tr>
+    <td>
+      <img src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/javascript/javascript-original.svg" width="40" height="40" alt="JavaScript"/>
+      <a href="https://docs.pipecat.ai/client/js/introduction">JavaScript</a>
+    </td>
+    <td>
+      <img src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/react/react-original.svg" width="40" height="40" alt="React"/>
+      <a href="https://docs.pipecat.ai/client/react/introduction">React</a>
+    </td>
+    <td>
+      <img src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/react/react-original.svg" width="40" height="40" alt="React Native"/>
+      <a href="https://docs.pipecat.ai/client/react-native/introduction">React Native</a>
+    </td>
+  </tr>
+  <tr>
+    <td>
+      <img src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/swift/swift-original.svg" width="40" height="40" alt="Swift"/>
+      <a href="https://docs.pipecat.ai/client/ios/introduction">Swift</a>
+    </td>
+    <td>
+      <img src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/kotlin/kotlin-original.svg" width="40" height="40" alt="Kotlin"/>
+      <a href="https://docs.pipecat.ai/client/android/introduction">Kotlin</a>
+    </td>
+    <td>
+      <img src="https://cdn.jsdelivr.net/gh/devicons/devicon/icons/cplusplus/cplusplus-original.svg" width="40" height="40" alt="JavaScript"/>
+      <a href="https://docs.pipecat.ai/client/c++/introduction">C++</a>
+    </td>
+  </tr>
+</table>
+
 ## 🎬 See it in action

 <p float="left">
@@ -38,17 +75,6 @@
    <a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/moondream-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/moondream-chatbot/image.png" width="400" /></a>
 </p>

-## 📱 Client SDKs
-
-You can connect to Pipecat from any platform using our official SDKs:
-
-| Platform | SDK Repo                                                                       | Description                      |
-| -------- | ------------------------------------------------------------------------------ | -------------------------------- |
-| Web      | [pipecat-client-web](https://github.com/pipecat-ai/pipecat-client-web)         | JavaScript and React client SDKs |
-| iOS      | [pipecat-client-ios](https://github.com/pipecat-ai/pipecat-client-ios)         | Swift SDK for iOS                |
-| Android  | [pipecat-client-android](https://github.com/pipecat-ai/pipecat-client-android) | Kotlin SDK for Android           |
-| C++      | [pipecat-client-cxx](https://github.com/pipecat-ai/pipecat-client-cxx)         | C++ client SDK                   |
-
 ## 🧩 Available services

 | Category            | Services                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
@@ -62,7 +88,7 @@ You can connect to Pipecat from any platform using our official SDKs:
 | Video               | [HeyGen](https://docs.pipecat.ai/server/services/video/heygen), [Tavus](https://docs.pipecat.ai/server/services/video/tavus), [Simli](https://docs.pipecat.ai/server/services/video/simli)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
 | Memory              | [mem0](https://docs.pipecat.ai/server/services/memory/mem0)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
 | Vision & Image      | [fal](https://docs.pipecat.ai/server/services/image-generation/fal), [Google Imagen](https://docs.pipecat.ai/server/services/image-generation/fal), [Moondream](https://docs.pipecat.ai/server/services/vision/moondream)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
-| Audio Processing    | [Silero VAD](https://docs.pipecat.ai/server/utilities/audio/silero-vad-analyzer), [Krisp](https://docs.pipecat.ai/server/utilities/audio/krisp-filter), [Koala](https://docs.pipecat.ai/server/utilities/audio/koala-filter), [Noisereduce](https://docs.pipecat.ai/server/utilities/audio/noisereduce-filter)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
+| Audio Processing    | [Silero VAD](https://docs.pipecat.ai/server/utilities/audio/silero-vad-analyzer), [Krisp](https://docs.pipecat.ai/server/utilities/audio/krisp-filter), [Koala](https://docs.pipecat.ai/server/utilities/audio/koala-filter), [ai-coustics](https://docs.pipecat.ai/server/utilities/audio/aic-filter)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
 | Analytics & Metrics | [OpenTelemetry](https://docs.pipecat.ai/server/utilities/opentelemetry), [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |

 📚 [View full services documentation →](https://docs.pipecat.ai/server/services/supported-services)
@@ -129,7 +155,11 @@ You can get started with Pipecat running on your local machine, then move your a
 2. Install development and testing dependencies:

   ```bash
-   uv sync --group dev --all-extras --no-extra gstreamer --no-extra krisp --no-extra local
+   uv sync --group dev --all-extras \
+     --no-extra gstreamer \
+     --no-extra krisp \
+     --no-extra local \
+     --no-extra ultravox # (ultravox not fully supported on macOS)
   ```

 3. Install the git pre-commit hooks:
@@ -138,23 +168,6 @@ You can get started with Pipecat running on your local machine, then move your a
   uv run pre-commit install
   ```

-### Python 3.13+ Compatibility
-
-Some features require PyTorch, which doesn't yet support Python 3.13+. Install using:
-
-```bash
-uv sync --group dev --all-extras \
-  --no-extra gstreamer \
-  --no-extra krisp \
-  --no-extra local \
-  --no-extra local-smart-turn \
-  --no-extra mlx-whisper \
-  --no-extra moondream \
-  --no-extra ultravox
-```
-
-> **Tip:** For full compatibility, use Python 3.12: `uv python pin 3.12`
-
 > **Note**: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.

 ### Running tests
--- a/docs/api/index.rst
+++ b/docs/api/index.rst
@@ -21,6 +21,7 @@ Quick Links
   Adapters <api/pipecat.adapters>
   Audio <api/pipecat.audio>
   Clocks <api/pipecat.clocks>
+   Extensions <api/pipecat.extensions>
   Frames <api/pipecat.frames>
   Metrics <api/pipecat.metrics>
   Observers <api/pipecat.observers>
--- a/env.example
+++ b/env.example
@@ -1,3 +1,6 @@
+# AI-COUSTICS
+AICOUSTICS_LICENSE_KEY=...
+
 # Anthropic
 ANTHROPIC_API_KEY=...

@@ -59,6 +62,9 @@ GOOGLE_VERTEX_TEST_CREDENTIALS=...
 LMNT_API_KEY=...
 LMNT_VOICE_ID=...

+# Perplexity
+PERPLEXITY_API_KEY=...
+
 # PlayHT
 PLAY_HT_USER_ID=...
 PLAY_HT_API_KEY=...
@@ -140,3 +146,12 @@ SENTRY_DSN=...

 # Heygen
 HEYGEN_API_KEY=...
+
+# Mistral
+MISTRAL_API_KEY=...
+
+# NVIDIA
+NVIDIA_API_KEY=...
+
+# Qwen
+QWEN_API_KEY=...
--- a/examples/foundational/01-say-one-thing-piper.py
+++ b/examples/foundational/01-say-one-thing-piper.py
@@ -18,8 +18,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.piper.tts import PiperTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

--- a/examples/foundational/01-say-one-thing-rime.py
+++ b/examples/foundational/01-say-one-thing-rime.py
@@ -18,8 +18,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.rime.tts import RimeHttpTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

--- a/examples/foundational/01-say-one-thing.py
+++ b/examples/foundational/01-say-one-thing.py
@@ -17,8 +17,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

--- a/examples/foundational/01b-livekit-audio.py
+++ b/examples/foundational/01b-livekit-audio.py
@@ -11,13 +11,13 @@ import sys
 from dotenv import load_dotenv
 from loguru import logger

-from pipecat.frames.frames import TextFrame
+from pipecat.frames.frames import TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
 from pipecat.runner.livekit import configure
 from pipecat.services.cartesia.tts import CartesiaTTSService
-from pipecat.transports.services.livekit import LiveKitParams, LiveKitTransport
+from pipecat.transports.livekit.transport import LiveKitParams, LiveKitTransport

 load_dotenv(override=True)

@@ -50,7 +50,7 @@ async def main():
    async def on_first_participant_joined(transport, participant_id):
        await asyncio.sleep(1)
        await task.queue_frame(
-            TextFrame(
+            TTSSpeakFrame(
                "Hello there! How are you doing today? Would you like to talk about the weather?"
            )
        )
--- a/examples/foundational/01c-fastpitch.py
+++ b/examples/foundational/01c-fastpitch.py
@@ -17,8 +17,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.riva.tts import FastPitchTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

--- a/examples/foundational/02-llm-say-one-thing.py
+++ b/examples/foundational/02-llm-say-one-thing.py
@@ -22,8 +22,8 @@ from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

--- a/examples/foundational/03-still-frame.py
+++ b/examples/foundational/03-still-frame.py
@@ -18,7 +18,7 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.fal.image import FalImageGenService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)

--- a/examples/foundational/03b-still-frame-imagen.py
+++ b/examples/foundational/03b-still-frame-imagen.py
@@ -17,7 +17,7 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.google.image import GoogleImageGenService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)

--- a/examples/foundational/04-transports-small-webrtc.py
+++ b/examples/foundational/04-transports-small-webrtc.py
@@ -18,6 +18,7 @@ from loguru import logger
 from pipecat_ai_small_webrtc_prebuilt.frontend import SmallWebRTCPrebuiltUI

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -26,8 +27,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import TransportParams
-from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
-from pipecat.transports.network.webrtc_connection import IceServer, SmallWebRTCConnection
+from pipecat.transports.smallwebrtc.connection import IceServer, SmallWebRTCConnection
+from pipecat.transports.smallwebrtc.transport import SmallWebRTCTransport

 load_dotenv(override=True)

@@ -103,7 +104,7 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/04a-transports-daily.py
+++ b/examples/foundational/04a-transports-daily.py
@@ -13,6 +13,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -20,7 +21,7 @@ from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.runner.daily import configure
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.transports.services.daily import DailyLogLevel, DailyParams, DailyTransport
+from pipecat.transports.daily.transport import DailyLogLevel, DailyParams, DailyTransport

 load_dotenv(override=True)

@@ -86,7 +87,7 @@ 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([LLMRunFrame()])

        @transport.event_handler("on_participant_left")
        async def on_participant_left(transport, participant, reason):
--- a/examples/foundational/04b-transports-livekit.py
+++ b/examples/foundational/04b-transports-livekit.py
@@ -14,7 +14,7 @@ from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import (
-    BotInterruptionFrame,
+    InterruptionFrame,
    TextFrame,
    TranscriptionFrame,
    UserStartedSpeakingFrame,
@@ -28,7 +28,7 @@ from pipecat.runner.livekit import configure
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.transports.services.livekit import LiveKitParams, LiveKitTransport
+from pipecat.transports.livekit.transport import LiveKitParams, LiveKitTransport

 load_dotenv(override=True)

@@ -115,7 +115,7 @@ async def main():

        await task.queue_frames(
            [
-                BotInterruptionFrame(),
+                InterruptionFrame(),
                UserStartedSpeakingFrame(),
                TranscriptionFrame(
                    user_id=participant_id,
--- a/examples/foundational/05-sync-speech-and-image.py
+++ b/examples/foundational/05-sync-speech-and-image.py
@@ -33,7 +33,7 @@ from pipecat.services.cartesia.tts import CartesiaHttpTTSService
 from pipecat.services.fal.image import FalImageGenService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)

--- a/examples/foundational/06-listen-and-respond.py
+++ b/examples/foundational/06-listen-and-respond.py
@@ -10,7 +10,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import Frame, MetricsFrame
+from pipecat.frames.frames import Frame, LLMRunFrame, MetricsFrame
 from pipecat.metrics.metrics import (
    LLMUsageMetricsData,
    ProcessingMetricsData,
@@ -28,8 +28,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -127,7 +127,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/06a-image-sync.py
+++ b/examples/foundational/06a-image-sync.py
@@ -15,6 +15,7 @@ from pipecat.frames.frames import (
    BotStartedSpeakingFrame,
    BotStoppedSpeakingFrame,
    Frame,
+    LLMRunFrame,
    OutputImageRawFrame,
 )
 from pipecat.pipeline.pipeline import Pipeline
@@ -28,7 +29,7 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)

@@ -65,7 +66,7 @@ class ImageSyncAggregator(FrameProcessor):
                )
            )

-        await self.push_frame(frame)
+        await self.push_frame(frame, direction)


 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
@@ -144,7 +145,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07-interruptible-cartesia-http.py
+++ b/examples/foundational/07-interruptible-cartesia-http.py
@@ -10,6 +10,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -20,8 +21,8 @@ from pipecat.services.cartesia.tts import CartesiaHttpTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -96,7 +97,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07-interruptible.py
+++ b/examples/foundational/07-interruptible.py
@@ -10,6 +10,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -20,8 +21,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -95,7 +96,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07a-interruptible-speechmatics-vad.py
+++ b/examples/foundational/07a-interruptible-speechmatics-vad.py
@@ -9,6 +9,7 @@ import os
 from dotenv import load_dotenv
 from loguru import logger

+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -24,8 +25,8 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.speechmatics.stt import SpeechmaticsSTTService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -154,7 +155,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # Kick off the conversation.
        messages.append({"role": "system", "content": "Say a short hello to the user."})
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07a-interruptible-speechmatics.py
+++ b/examples/foundational/07a-interruptible-speechmatics.py
@@ -10,6 +10,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +26,8 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.speechmatics.stt import SpeechmaticsSTTService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -137,7 +138,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # Kick off the conversation.
        messages.append({"role": "system", "content": "Say a short hello to the user."})
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07aa-interruptible-soniox.py
+++ b/examples/foundational/07aa-interruptible-soniox.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.soniox.stt import SonioxSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -94,7 +95,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07ab-interruptible-inworld-http.py
+++ b/examples/foundational/07ab-interruptible-inworld-http.py
@@ -12,6 +12,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.inworld.tts import InworldTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -109,7 +110,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            logger.info(f"Client connected")
            # 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([LLMRunFrame()])

        @transport.event_handler("on_client_disconnected")
        async def on_client_disconnected(transport, client):
--- a/examples/foundational/07ac-interruptible-asyncai-http.py
+++ b/examples/foundational/07ac-interruptible-asyncai-http.py
@@ -12,6 +12,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.asyncai.tts import AsyncAIHttpTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -101,7 +102,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            logger.info(f"Client connected")
            # 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([LLMRunFrame()])

        @transport.event_handler("on_client_disconnected")
        async def on_client_disconnected(transport, client):
--- a/examples/foundational/07ac-interruptible-asyncai.py
+++ b/examples/foundational/07ac-interruptible-asyncai.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.asyncai.tts import AsyncAITTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -97,7 +98,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07ad-interruptible-aicoustics.py
+++ b/examples/foundational/07ad-interruptible-aicoustics.py
@@ -0,0 +1,162 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+
+import datetime
+import os
+import wave
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.audio.filters.aic_filter import AICFilter
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
+from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
+from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.services.deepgram.stt import DeepgramSTTService
+from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
+
+load_dotenv(override=True)
+
+
+# Create audio buffer processor so we can hear the audio fitler results.
+audiobuffer = AudioBufferProcessor(
+    num_channels=2,  # 1 for mono, 2 for stereo (user left, bot right)
+    enable_turn_audio=False,  # Enable per-turn audio recording
+)
+
+
+def _create_aic_filter() -> AICFilter:
+    license_key = os.getenv("AICOUSTICS_LICENSE_KEY", "")
+
+    return AICFilter(
+        license_key=license_key,
+        enhancement_level=1.0,
+    )
+
+
+# We store functions so objects (e.g. SileroVADAnalyzer) don't get
+# instantiated. The function will be called when the desired transport gets
+# selected.
+transport_params = {
+    "daily": lambda: DailyParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+        audio_in_filter=_create_aic_filter(),
+    ),
+    "twilio": lambda: FastAPIWebsocketParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+        audio_in_filter=_create_aic_filter(),
+    ),
+    "webrtc": lambda: TransportParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+        audio_in_filter=_create_aic_filter(),
+    ),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    logger.info(f"Starting bot")
+
+    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
+
+    tts = CartesiaTTSService(
+        api_key=os.getenv("CARTESIA_API_KEY"),
+        voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
+    )
+
+    llm = OpenAILLMService(api_key=os.getenv("OPENAI_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
+            audiobuffer,  # write audio data to a file
+            context_aggregator.assistant(),  # Assistant spoken responses
+        ]
+    )
+
+    task = PipelineTask(
+        pipeline,
+        params=PipelineParams(
+            enable_metrics=True,
+            enable_usage_metrics=True,
+        ),
+        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+    )
+
+    @transport.event_handler("on_client_connected")
+    async def on_client_connected(transport, client):
+        logger.info(f"Client connected")
+        await audiobuffer.start_recording()
+        # Kick off the conversation.
+        messages.append({"role": "system", "content": "Please introduce yourself to the user."})
+        await task.queue_frames([LLMRunFrame()])
+
+    @audiobuffer.event_handler("on_audio_data")
+    async def on_audio_data(buffer, audio, sample_rate, num_channels):
+        # Save or process the composite audio
+        timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
+        filename = f"./conversation_{timestamp}.wav"
+
+        # Create the WAV file
+        with wave.open(filename, "wb") as wf:
+            wf.setnchannels(num_channels)
+            wf.setsampwidth(2)  # 16-bit audio
+            wf.setframerate(sample_rate)
+            wf.writeframes(audio)
+
+        logger.info(f"Saved recording to {filename}")
+
+    @transport.event_handler("on_client_disconnected")
+    async def on_client_disconnected(transport, client):
+        logger.info(f"Client disconnected")
+        await task.cancel()
+
+    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+    await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()
--- a/examples/foundational/07b-interruptible-langchain.py
+++ b/examples/foundational/07b-interruptible-langchain.py
@@ -33,8 +33,8 @@ from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

--- a/examples/foundational/07c-interruptible-deepgram-vad.py
+++ b/examples/foundational/07c-interruptible-deepgram-vad.py
@@ -12,8 +12,8 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.frames.frames import (
-    BotInterruptionFrame,
-    StopInterruptionFrame,
+    InterruptionFrame,
+    LLMRunFrame,
    UserStartedSpeakingFrame,
    UserStoppedSpeakingFrame,
 )
@@ -27,8 +27,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.deepgram.tts import DeepgramTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -97,18 +97,18 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):

    @stt.event_handler("on_speech_started")
    async def on_speech_started(stt, *args, **kwargs):
-        await task.queue_frames([BotInterruptionFrame(), UserStartedSpeakingFrame()])
+        await task.queue_frames([InterruptionFrame(), UserStartedSpeakingFrame()])

    @stt.event_handler("on_utterance_end")
    async def on_utterance_end(stt, *args, **kwargs):
-        await task.queue_frames([StopInterruptionFrame(), UserStoppedSpeakingFrame()])
+        await task.queue_frames([UserStoppedSpeakingFrame()])

    @transport.event_handler("on_client_connected")
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
        messages.append({"role": "system", "content": "Please introduce yourself to the user."})
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07c-interruptible-deepgram.py
+++ b/examples/foundational/07c-interruptible-deepgram.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.deepgram.tts import DeepgramTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -94,7 +95,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07d-interruptible-elevenlabs-http.py
+++ b/examples/foundational/07d-interruptible-elevenlabs-http.py
@@ -12,6 +12,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.elevenlabs.tts import ElevenLabsHttpTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -101,7 +102,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            logger.info(f"Client connected")
            # 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([LLMRunFrame()])

        @transport.event_handler("on_client_disconnected")
        async def on_client_disconnected(transport, client):
--- a/examples/foundational/07d-interruptible-elevenlabs.py
+++ b/examples/foundational/07d-interruptible-elevenlabs.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -97,7 +98,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07e-interruptible-playht-http.py
+++ b/examples/foundational/07e-interruptible-playht-http.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.playht.tts import PlayHTHttpTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -97,7 +98,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07e-interruptible-playht.py
+++ b/examples/foundational/07e-interruptible-playht.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.playht.tts import PlayHTTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -99,7 +100,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07f-interruptible-azure.py
+++ b/examples/foundational/07f-interruptible-azure.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.azure.llm import AzureLLMService
 from pipecat.services.azure.stt import AzureSTTService
 from pipecat.services.azure.tts import AzureTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -103,7 +104,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07g-interruptible-openai.py
+++ b/examples/foundational/07g-interruptible-openai.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.openai.stt import OpenAISTTService
 from pipecat.services.openai.tts import OpenAITTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -98,7 +99,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07h-interruptible-openpipe.py
+++ b/examples/foundational/07h-interruptible-openpipe.py
@@ -12,6 +12,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openpipe.llm import OpenPipeLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -102,7 +103,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07i-interruptible-xtts.py
+++ b/examples/foundational/07i-interruptible-xtts.py
@@ -12,6 +12,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.xtts.tts import XTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -100,7 +101,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            logger.info(f"Client connected")
            # 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([LLMRunFrame()])

        @transport.event_handler("on_client_disconnected")
        async def on_client_disconnected(transport, client):
--- a/examples/foundational/07j-interruptible-gladia.py
+++ b/examples/foundational/07j-interruptible-gladia.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -23,8 +24,8 @@ from pipecat.services.gladia.stt import GladiaSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -106,7 +107,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07k-interruptible-lmnt.py
+++ b/examples/foundational/07k-interruptible-lmnt.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.lmnt.tts import LmntTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -93,7 +94,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07l-interruptible-groq.py
+++ b/examples/foundational/07l-interruptible-groq.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.groq.llm import GroqLLMService
 from pipecat.services.groq.stt import GroqSTTService
 from pipecat.services.groq.tts import GroqTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -98,7 +99,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07m-interruptible-aws.py
+++ b/examples/foundational/07m-interruptible-aws.py
@@ -9,6 +9,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -19,8 +20,8 @@ from pipecat.services.aws.llm import AWSBedrockLLMService
 from pipecat.services.aws.stt import AWSTranscribeSTTService
 from pipecat.services.aws.tts import AWSPollyTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -99,7 +100,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # Kick off the conversation.
        messages.append({"role": "user", "content": "Please introduce yourself to the user."})
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07n-interruptible-gemini.py
+++ b/examples/foundational/07n-interruptible-gemini.py
@@ -29,6 +29,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -40,8 +41,8 @@ from pipecat.services.google.stt import GoogleSTTService
 from pipecat.services.google.tts import GeminiTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -139,7 +140,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                "content": "Say cheerfully and warmly: Hello! I'm your AI assistant powered by Gemini's new TTS technology. I can speak with different voices, tones, and styles. How can I help you today?",
            }
        )
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07n-interruptible-google.py
+++ b/examples/foundational/07n-interruptible-google.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.google.stt import GoogleSTTService
 from pipecat.services.google.tts import GoogleTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -106,7 +107,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07o-interruptible-assemblyai.py
+++ b/examples/foundational/07o-interruptible-assemblyai.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.assemblyai.stt import AssemblyAISTTService
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -99,7 +100,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07p-interruptible-krisp.py
+++ b/examples/foundational/07p-interruptible-krisp.py
@@ -12,6 +12,7 @@ from loguru import logger

 from pipecat.audio.filters.krisp_filter import KrispFilter
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.deepgram.tts import DeepgramTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -97,7 +98,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07q-interruptible-rime-http.py
+++ b/examples/foundational/07q-interruptible-rime-http.py
@@ -12,6 +12,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.rime.tts import RimeHttpTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -102,7 +103,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            logger.info(f"Client connected")
            # 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([LLMRunFrame()])

        @transport.event_handler("on_client_disconnected")
        async def on_client_disconnected(transport, client):
--- a/examples/foundational/07q-interruptible-rime.py
+++ b/examples/foundational/07q-interruptible-rime.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.rime.tts import RimeTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -96,7 +97,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07r-interruptible-riva-nim.py
+++ b/examples/foundational/07r-interruptible-riva-nim.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.nim.llm import NimLLMService
 from pipecat.services.riva.stt import RivaSTTService
 from pipecat.services.riva.tts import RivaTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -93,7 +94,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07s-interruptible-google-audio-in.py
+++ b/examples/foundational/07s-interruptible-google-audio-in.py
@@ -16,9 +16,10 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import (
    Frame,
    InputAudioRawFrame,
+    InterruptionFrame,
    LLMFullResponseEndFrame,
    LLMFullResponseStartFrame,
-    StartInterruptionFrame,
+    LLMRunFrame,
    TextFrame,
    TranscriptionFrame,
    UserStartedSpeakingFrame,
@@ -35,8 +36,8 @@ from pipecat.services.google.llm import GoogleLLMService
 from pipecat.services.google.tts import GoogleTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -92,9 +93,8 @@ class UserAudioCollector(FrameProcessor):
        elif isinstance(frame, UserStoppedSpeakingFrame):
            self._user_speaking = False
            self._context.add_audio_frames_message(audio_frames=self._audio_frames)
-            await self._user_context_aggregator.push_frame(
-                self._user_context_aggregator.get_context_frame()
-            )
+            await self._user_context_aggregator.push_frame(LLMRunFrame())
+
        elif isinstance(frame, InputAudioRawFrame):
            if self._user_speaking:
                self._audio_frames.append(frame)
@@ -150,7 +150,7 @@ class TranscriptExtractor(FrameProcessor):
        await self.push_frame(frame, direction)


-class TanscriptionContextFixup(FrameProcessor):
+class TranscriptionContextFixup(FrameProcessor):
    def __init__(self, context):
        super().__init__()
        self._context = context
@@ -181,9 +181,7 @@ class TanscriptionContextFixup(FrameProcessor):

        if isinstance(frame, MagicDemoTranscriptionFrame):
            self._transcript = frame.text
-        elif isinstance(frame, LLMFullResponseEndFrame) or isinstance(
-            frame, StartInterruptionFrame
-        ):
+        elif isinstance(frame, LLMFullResponseEndFrame) or isinstance(frame, InterruptionFrame):
            self.swap_user_audio()
            self.add_transcript_back_to_inference_output()
            self._transcript = ""
@@ -244,7 +242,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    context_aggregator = llm.create_context_aggregator(context)
    audio_collector = UserAudioCollector(context, context_aggregator.user())
    pull_transcript_out_of_llm_output = TranscriptExtractor(context)
-    fixup_context_messages = TanscriptionContextFixup(context)
+    fixup_context_messages = TranscriptionContextFixup(context)

    pipeline = Pipeline(
        [
@@ -274,7 +272,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07t-interruptible-fish.py
+++ b/examples/foundational/07t-interruptible-fish.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.fish.tts import FishAudioTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -97,7 +98,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07u-interruptible-ultravox.py
+++ b/examples/foundational/07u-interruptible-ultravox.py
@@ -19,8 +19,8 @@ from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.ultravox.stt import UltravoxSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

--- a/examples/foundational/07v-interruptible-neuphonic-http.py
+++ b/examples/foundational/07v-interruptible-neuphonic-http.py
@@ -12,6 +12,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -22,8 +23,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.neuphonic.tts import NeuphonicHttpTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -101,7 +102,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            logger.info(f"Client connected")
            # 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([LLMRunFrame()])

        @transport.event_handler("on_client_disconnected")
        async def on_client_disconnected(transport, client):
--- a/examples/foundational/07v-interruptible-neuphonic.py
+++ b/examples/foundational/07v-interruptible-neuphonic.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.neuphonic.tts import NeuphonicTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -96,7 +97,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07w-interruptible-fal.py
+++ b/examples/foundational/07w-interruptible-fal.py
@@ -11,6 +11,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,8 +22,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.fal.stt import FalSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -99,7 +100,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        logger.info(f"Client connected")
        # 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([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/07x-interruptible-local.py
+++ b/examples/foundational/07x-interruptible-local.py
@@ -12,6 +12,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -78,7 +79,7 @@ async def main():
    )

    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([LLMRunFrame()])

    runner = PipelineRunner()

--- a/examples/foundational/07y-interruptible-minimax.py
+++ b/examples/foundational/07y-interruptible-minimax.py
@@ -12,6 +12,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -23,8 +24,8 @@ from pipecat.services.minimax.tts import MiniMaxHttpTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -103,7 +104,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            logger.info(f"Client connected")
            # 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([LLMRunFrame()])

        @transport.event_handler("on_client_disconnected")
        async def on_client_disconnected(transport, client):
--- a/examples/foundational/07z-interruptible-sarvam-http.py
+++ b/examples/foundational/07z-interruptible-sarvam-http.py
@@ -0,0 +1,126 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+
+import os
+
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+
+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.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
+from pipecat.services.deepgram.stt import DeepgramSTTService
+from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.services.sarvam.tts import SarvamHttpTTSService
+from pipecat.transcriptions.language import Language
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
+
+load_dotenv(override=True)
+
+
+# We store functions so objects (e.g. SileroVADAnalyzer) don't get
+# instantiated. The function will be called when the desired transport gets
+# selected.
+transport_params = {
+    "daily": lambda: DailyParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+    ),
+    "twilio": lambda: FastAPIWebsocketParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+    ),
+    "webrtc": lambda: TransportParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+    ),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    logger.info(f"Starting bot")
+
+    # Create an HTTP session
+    async with aiohttp.ClientSession() as session:
+        stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
+
+        tts = SarvamHttpTTSService(
+            api_key=os.getenv("SARVAM_API_KEY"),
+            aiohttp_session=session,
+            params=SarvamHttpTTSService.InputParams(language=Language.EN),
+        )
+
+        llm = OpenAILLMService(api_key=os.getenv("OPENAI_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,
+                context_aggregator.user(),  # User responses
+                llm,  # LLM
+                tts,  # TTS
+                transport.output(),  # Transport bot output
+                context_aggregator.assistant(),  # Assistant spoken responses
+            ]
+        )
+
+        task = PipelineTask(
+            pipeline,
+            params=PipelineParams(
+                enable_metrics=True,
+                enable_usage_metrics=True,
+            ),
+            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+        )
+
+        @transport.event_handler("on_client_connected")
+        async def on_client_connected(transport, client):
+            logger.info(f"Client connected")
+            # Kick off the conversation.
+            messages.append({"role": "system", "content": "Please introduce yourself to the user."})
+            await task.queue_frames([context_aggregator.user().get_context_frame()])
+
+        @transport.event_handler("on_client_disconnected")
+        async def on_client_disconnected(transport, client):
+            logger.info(f"Client disconnected")
+            await task.cancel()
+
+        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+        await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()
--- a/examples/foundational/07z-interruptible-sarvam.py
+++ b/examples/foundational/07z-interruptible-sarvam.py
@@ -5,6 +5,7 @@
 #


+import asyncio
 import os

 import aiohttp
@@ -12,6 +13,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,10 +23,9 @@ from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.sarvam.tts import SarvamTTSService
-from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -54,64 +55,64 @@ transport_params = {
 async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    logger.info(f"Starting bot")

-    # Create an HTTP session
-    async with aiohttp.ClientSession() as session:
-        stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
+    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))

-        tts = SarvamTTSService(
-            api_key=os.getenv("SARVAM_API_KEY"),
-            aiohttp_session=session,
-            params=SarvamTTSService.InputParams(language=Language.EN),
-        )
+    tts = SarvamTTSService(
+        api_key=os.getenv("SARVAM_API_KEY"),
+        model="bulbul:v2",
+        voice_id="manisha",
+    )
+    llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))

-        llm = OpenAILLMService(api_key=os.getenv("OPENAI_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.",
+        },
+    ]

-        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,
+            context_aggregator.user(),  # User responses
+            llm,  # LLM
+            tts,  # TTS
+            transport.output(),  # Transport bot output
+            context_aggregator.assistant(),  # Assistant spoken responses
        ]
+    )

-        context = OpenAILLMContext(messages)
-        context_aggregator = llm.create_context_aggregator(context)
+    task = PipelineTask(
+        pipeline,
+        params=PipelineParams(
+            enable_metrics=True,
+            enable_usage_metrics=True,
+        ),
+    )

-        pipeline = Pipeline(
-            [
-                transport.input(),  # Transport user input
-                stt,
-                context_aggregator.user(),  # User responses
-                llm,  # LLM
-                tts,  # TTS
-                transport.output(),  # Transport bot output
-                context_aggregator.assistant(),  # Assistant spoken responses
-            ]
-        )
+    @transport.event_handler("on_client_connected")
+    async def on_client_connected(transport, client):
+        logger.info(f"Client connected")
+        # Kick off the conversation.
+        messages.append({"role": "system", "content": "Please introduce yourself to the user."})
+        await task.queue_frames([LLMRunFrame()])

-        task = PipelineTask(
-            pipeline,
-            params=PipelineParams(
-                enable_metrics=True,
-                enable_usage_metrics=True,
-            ),
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
-        )
+        # Optionally, you can wait for 30 seconds and then change the voice.
+        # await asyncio.sleep(30)
+        # await task.queue_frame(TTSUpdateSettingsFrame(settings={"voice": "anushka"}))

-        @transport.event_handler("on_client_connected")
-        async def on_client_connected(transport, client):
-            logger.info(f"Client connected")
-            # Kick off the conversation.
-            messages.append({"role": "system", "content": "Please introduce yourself to the user."})
-            await task.queue_frames([context_aggregator.user().get_context_frame()])
+    @transport.event_handler("on_client_disconnected")
+    async def on_client_disconnected(transport, client):
+        logger.info(f"Client disconnected")
+        await task.cancel()

-        @transport.event_handler("on_client_disconnected")
-        async def on_client_disconnected(transport, client):
-            logger.info(f"Client disconnected")
-            await task.cancel()
+    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)

-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
-
-        await runner.run(task)
+    await runner.run(task)


 async def bot(runner_args: RunnerArguments):
--- a/examples/foundational/08-bots-arguing.py
+++ b/examples/foundational/08-bots-arguing.py
@@ -17,7 +17,7 @@ from pipecat.runner.daily import configure
 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.transports.daily.transport import DailyTransport

 load_dotenv(override=True)

--- a/examples/foundational/09-mirror.py
+++ b/examples/foundational/09-mirror.py
@@ -22,7 +22,7 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)

--- a/examples/foundational/09a-local-mirror.py
+++ b/examples/foundational/09a-local-mirror.py
@@ -24,8 +24,8 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport, maybe_capture_participant_camera
 from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.local.tk import TkLocalTransport, TkTransportParams
-from pipecat.transports.services.daily import DailyParams

 load_dotenv(override=True)

--- a/examples/foundational/10-wake-phrase.py
+++ b/examples/foundational/10-wake-phrase.py
@@ -22,8 +22,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

--- a/examples/foundational/11-sound-effects.py
+++ b/examples/foundational/11-sound-effects.py
@@ -32,8 +32,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

--- a/examples/foundational/12-describe-video.py
+++ b/examples/foundational/12-describe-video.py
@@ -11,12 +11,19 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import Frame, TextFrame, TTSSpeakFrame, UserImageRequestFrame
+from pipecat.frames.frames import (
+    Frame,
+    LLMContextFrame,
+    TextFrame,
+    TTSSpeakFrame,
+    UserImageRawFrame,
+    UserImageRequestFrame,
+)
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
+from pipecat.processors.aggregators.llm_context import LLMContext
 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.runner.types import RunnerArguments
 from pipecat.runner.utils import (
@@ -28,12 +35,14 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.moondream.vision import MoondreamService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)


 class UserImageRequester(FrameProcessor):
+    """Converts incoming text into requests for user images."""
+
    def __init__(self, participant_id: Optional[str] = None):
        super().__init__()
        self._participant_id = participant_id
@@ -46,9 +55,32 @@ class UserImageRequester(FrameProcessor):

        if self._participant_id and isinstance(frame, TextFrame):
            await self.push_frame(
-                UserImageRequestFrame(self._participant_id), FrameDirection.UPSTREAM
+                UserImageRequestFrame(self._participant_id, context=frame.text),
+                FrameDirection.UPSTREAM,
            )
-        await self.push_frame(frame, direction)
+        else:
+            await self.push_frame(frame, direction)
+
+
+class UserImageProcessor(FrameProcessor):
+    """Converts incoming user images into context frames."""
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection):
+        await super().process_frame(frame, direction)
+
+        if isinstance(frame, UserImageRawFrame):
+            if frame.request and frame.request.context:
+                context = LLMContext()
+                context.add_image_frame_message(
+                    image=frame.image,
+                    text=frame.request.context,
+                    size=frame.size,
+                    format=frame.format,
+                )
+                frame = LLMContextFrame(context)
+                await self.push_frame(frame)
+        else:
+            await self.push_frame(frame, direction)


 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
@@ -78,7 +110,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    # Initialize the image requester without setting the participant ID yet
    image_requester = UserImageRequester()

-    vision_aggregator = VisionImageFrameAggregator()
+    image_processor = UserImageProcessor()

    # If you run into weird description, try with use_cpu=True
    moondream = MoondreamService()
@@ -96,7 +128,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            stt,
            user_response,
            image_requester,
-            vision_aggregator,
+            image_processor,
            moondream,
            tts,
            transport.output(),
@@ -119,7 +151,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        image_requester.set_participant_id(client_id)

        # Welcome message
-        await task.queue_frame(TTSSpeakFrame("Hi there! Feel free to ask me what I see."))
+        await task.queue_frame(TTSSpeakFrame("Hi there! Feel free to ask me about what I see."))

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/12a-describe-video-gemini-flash.py
+++ b/examples/foundational/12a-describe-video-gemini-flash.py
@@ -11,12 +11,19 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import Frame, TextFrame, TTSSpeakFrame, UserImageRequestFrame
+from pipecat.frames.frames import (
+    Frame,
+    LLMContextFrame,
+    TextFrame,
+    TTSSpeakFrame,
+    UserImageRawFrame,
+    UserImageRequestFrame,
+)
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.llm_context import LLMContext
 from pipecat.processors.aggregators.user_response import UserResponseAggregator
-from pipecat.processors.aggregators.vision_image_frame import VisionImageFrameAggregator
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import (
@@ -28,12 +35,14 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.google.llm import GoogleLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)


 class UserImageRequester(FrameProcessor):
+    """Converts incoming text into requests for user images."""
+
    def __init__(self, participant_id: Optional[str] = None):
        super().__init__()
        self._participant_id = participant_id
@@ -46,9 +55,32 @@ class UserImageRequester(FrameProcessor):

        if self._participant_id and isinstance(frame, TextFrame):
            await self.push_frame(
-                UserImageRequestFrame(self._participant_id), FrameDirection.UPSTREAM
+                UserImageRequestFrame(self._participant_id, context=frame.text),
+                FrameDirection.UPSTREAM,
            )
-        await self.push_frame(frame, direction)
+        else:
+            await self.push_frame(frame, direction)
+
+
+class UserImageProcessor(FrameProcessor):
+    """Converts incoming user images into context frames."""
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection):
+        await super().process_frame(frame, direction)
+
+        if isinstance(frame, UserImageRawFrame):
+            if frame.request and frame.request.context:
+                context = LLMContext()
+                context.add_image_frame_message(
+                    image=frame.image,
+                    text=frame.request.context,
+                    size=frame.size,
+                    format=frame.format,
+                )
+                frame = LLMContextFrame(context)
+                await self.push_frame(frame)
+        else:
+            await self.push_frame(frame, direction)


 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
@@ -78,7 +110,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    # Initialize the image requester without setting the participant ID yet
    image_requester = UserImageRequester()

-    vision_aggregator = VisionImageFrameAggregator()
+    image_processor = UserImageProcessor()

    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))

@@ -96,7 +128,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            stt,
            user_response,
            image_requester,
-            vision_aggregator,
+            image_processor,
            google,
            tts,
            transport.output(),
@@ -123,7 +155,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        image_requester.set_participant_id(client_id)

        # Welcome message
-        await task.queue_frame(TTSSpeakFrame("Hi there! Feel free to ask me what I see."))
+        await task.queue_frame(TTSSpeakFrame("Hi there! Feel free to ask me about what I see."))

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/12b-describe-video-gpt-4o.py
+++ b/examples/foundational/12b-describe-video-gpt-4o.py
@@ -11,12 +11,19 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import Frame, TextFrame, TTSSpeakFrame, UserImageRequestFrame
+from pipecat.frames.frames import (
+    Frame,
+    LLMContextFrame,
+    TextFrame,
+    TTSSpeakFrame,
+    UserImageRawFrame,
+    UserImageRequestFrame,
+)
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.llm_context import LLMContext
 from pipecat.processors.aggregators.user_response import UserResponseAggregator
-from pipecat.processors.aggregators.vision_image_frame import VisionImageFrameAggregator
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import (
@@ -28,12 +35,14 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)


 class UserImageRequester(FrameProcessor):
+    """Converts incoming text into requests for user images."""
+
    def __init__(self, participant_id: Optional[str] = None):
        super().__init__()
        self._participant_id = participant_id
@@ -46,9 +55,32 @@ class UserImageRequester(FrameProcessor):

        if self._participant_id and isinstance(frame, TextFrame):
            await self.push_frame(
-                UserImageRequestFrame(self._participant_id), FrameDirection.UPSTREAM
+                UserImageRequestFrame(self._participant_id, context=frame.text),
+                FrameDirection.UPSTREAM,
            )
-        await self.push_frame(frame, direction)
+        else:
+            await self.push_frame(frame, direction)
+
+
+class UserImageProcessor(FrameProcessor):
+    """Converts incoming user images into context frames."""
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection):
+        await super().process_frame(frame, direction)
+
+        if isinstance(frame, UserImageRawFrame):
+            if frame.request and frame.request.context:
+                context = LLMContext()
+                context.add_image_frame_message(
+                    image=frame.image,
+                    text=frame.request.context,
+                    size=frame.size,
+                    format=frame.format,
+                )
+                frame = LLMContextFrame(context)
+                await self.push_frame(frame)
+        else:
+            await self.push_frame(frame, direction)


 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
@@ -78,7 +110,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    # Initialize the image requester without setting the participant ID yet
    image_requester = UserImageRequester()

-    vision_aggregator = VisionImageFrameAggregator()
+    image_processor = UserImageProcessor()

    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))

@@ -96,7 +128,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            stt,
            user_response,
            image_requester,
-            vision_aggregator,
+            image_processor,
            openai,
            tts,
            transport.output(),
@@ -123,7 +155,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        image_requester.set_participant_id(client_id)

        # Welcome message
-        await task.queue_frame(TTSSpeakFrame("Hi there! Feel free to ask me what I see."))
+        await task.queue_frame(TTSSpeakFrame("Hi there! Feel free to ask me about what I see."))

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/12c-describe-video-anthropic.py
+++ b/examples/foundational/12c-describe-video-anthropic.py
@@ -11,12 +11,19 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import Frame, TextFrame, TTSSpeakFrame, UserImageRequestFrame
+from pipecat.frames.frames import (
+    Frame,
+    LLMContextFrame,
+    TextFrame,
+    TTSSpeakFrame,
+    UserImageRawFrame,
+    UserImageRequestFrame,
+)
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.llm_context import LLMContext
 from pipecat.processors.aggregators.user_response import UserResponseAggregator
-from pipecat.processors.aggregators.vision_image_frame import VisionImageFrameAggregator
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import (
@@ -28,12 +35,14 @@ from pipecat.services.anthropic.llm import AnthropicLLMService
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)


 class UserImageRequester(FrameProcessor):
+    """Converts incoming text into requests for user images."""
+
    def __init__(self, participant_id: Optional[str] = None):
        super().__init__()
        self._participant_id = participant_id
@@ -46,9 +55,32 @@ class UserImageRequester(FrameProcessor):

        if self._participant_id and isinstance(frame, TextFrame):
            await self.push_frame(
-                UserImageRequestFrame(self._participant_id), FrameDirection.UPSTREAM
+                UserImageRequestFrame(self._participant_id, context=frame.text),
+                FrameDirection.UPSTREAM,
            )
-        await self.push_frame(frame, direction)
+        else:
+            await self.push_frame(frame, direction)
+
+
+class UserImageProcessor(FrameProcessor):
+    """Converts incoming user images into context frames."""
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection):
+        await super().process_frame(frame, direction)
+
+        if isinstance(frame, UserImageRawFrame):
+            if frame.request and frame.request.context:
+                context = LLMContext()
+                context.add_image_frame_message(
+                    image=frame.image,
+                    text=frame.request.context,
+                    size=frame.size,
+                    format=frame.format,
+                )
+                frame = LLMContextFrame(context)
+                await self.push_frame(frame)
+        else:
+            await self.push_frame(frame, direction)


 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
@@ -78,7 +110,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    # Initialize the image requester without setting the participant ID yet
    image_requester = UserImageRequester()

-    vision_aggregator = VisionImageFrameAggregator()
+    image_processor = UserImageProcessor()

    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))

@@ -96,7 +128,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
            stt,
            user_response,
            image_requester,
-            vision_aggregator,
+            image_processor,
            anthropic,
            tts,
            transport.output(),
@@ -123,7 +155,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        image_requester.set_participant_id(client_id)

        # Welcome message
-        await task.queue_frame(TTSSpeakFrame("Hi there! Feel free to ask me what I see."))
+        await task.queue_frame(TTSSpeakFrame("Hi there! Feel free to ask me about what I see."))

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/12d-describe-video-aws.py
+++ b/examples/foundational/12d-describe-video-aws.py
@@ -0,0 +1,187 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import os
+from typing import Optional
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import (
+    Frame,
+    LLMContextFrame,
+    TextFrame,
+    TTSSpeakFrame,
+    UserImageRawFrame,
+    UserImageRequestFrame,
+)
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.llm_context import LLMContext
+from pipecat.processors.aggregators.user_response import UserResponseAggregator
+from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import (
+    create_transport,
+    get_transport_client_id,
+    maybe_capture_participant_camera,
+)
+from pipecat.services.aws.llm import AWSBedrockLLMService
+from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.services.deepgram.stt import DeepgramSTTService
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
+
+load_dotenv(override=True)
+
+
+class UserImageRequester(FrameProcessor):
+    """Converts incoming text into requests for user images."""
+
+    def __init__(self, participant_id: Optional[str] = None):
+        super().__init__()
+        self._participant_id = participant_id
+
+    def set_participant_id(self, participant_id: str):
+        self._participant_id = participant_id
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection):
+        await super().process_frame(frame, direction)
+
+        if self._participant_id and isinstance(frame, TextFrame):
+            await self.push_frame(
+                UserImageRequestFrame(self._participant_id, context=frame.text),
+                FrameDirection.UPSTREAM,
+            )
+        else:
+            await self.push_frame(frame, direction)
+
+
+class UserImageProcessor(FrameProcessor):
+    """Converts incoming user images into context frames."""
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection):
+        await super().process_frame(frame, direction)
+
+        if isinstance(frame, UserImageRawFrame):
+            if frame.request and frame.request.context:
+                # Note: AWS Bedrock does not yet support the universal LLMContext
+                context = LLMContext()
+                context.add_image_frame_message(
+                    image=frame.image,
+                    text=frame.request.context,
+                    size=frame.size,
+                    format=frame.format,
+                )
+                frame = LLMContextFrame(context)
+                await self.push_frame(frame)
+        else:
+            await self.push_frame(frame, direction)
+
+
+# We store functions so objects (e.g. SileroVADAnalyzer) don't get
+# instantiated. The function will be called when the desired transport gets
+# selected.
+transport_params = {
+    "daily": lambda: DailyParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        video_in_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+    ),
+    "webrtc": lambda: TransportParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        video_in_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+    ),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    logger.info(f"Starting bot")
+
+    user_response = UserResponseAggregator()
+
+    # Initialize the image requester without setting the participant ID yet
+    image_requester = UserImageRequester()
+
+    image_processor = UserImageProcessor()
+
+    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
+
+    # AWS for vision analysis
+    aws = AWSBedrockLLMService(
+        aws_region="us-west-2",
+        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        # Note: usually, prefer providing latency="optimized" param.
+        # Here we can't because AWS Bedrock doesn't support it for Claude 3.7,
+        # which we need for image input.
+        params=AWSBedrockLLMService.InputParams(temperature=0.8),
+    )
+
+    tts = CartesiaTTSService(
+        api_key=os.getenv("CARTESIA_API_KEY"),
+        voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
+    )
+
+    pipeline = Pipeline(
+        [
+            transport.input(),
+            stt,
+            user_response,
+            image_requester,
+            image_processor,
+            aws,
+            tts,
+            transport.output(),
+        ]
+    )
+
+    task = PipelineTask(
+        pipeline,
+        params=PipelineParams(
+            enable_metrics=True,
+            enable_usage_metrics=True,
+        ),
+        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+    )
+
+    @transport.event_handler("on_client_connected")
+    async def on_client_connected(transport, client):
+        logger.info(f"Client connected: {client}")
+
+        await maybe_capture_participant_camera(transport, client)
+
+        # Set the participant ID in the image requester
+        client_id = get_transport_client_id(transport, client)
+        image_requester.set_participant_id(client_id)
+
+        # Welcome message
+        await task.queue_frame(TTSSpeakFrame("Hi there! Feel free to ask me about what I see."))
+
+    @transport.event_handler("on_client_disconnected")
+    async def on_client_disconnected(transport, client):
+        logger.info(f"Client disconnected")
+        await task.cancel()
+
+    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+    await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()
--- a/examples/foundational/13-whisper-transcription.py
+++ b/examples/foundational/13-whisper-transcription.py
@@ -18,8 +18,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.whisper.stt import WhisperSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -31,6 +31,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            print(f"Transcription: {frame.text}")

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
 # instantiated. The function will be called when the desired transport gets
--- a/examples/foundational/13a-whisper-local.py
+++ b/examples/foundational/13a-whisper-local.py
@@ -32,6 +32,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            print(f"Transcription: {frame.text}")

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 async def main():
    transport = LocalAudioTransport(
--- a/examples/foundational/13b-deepgram-transcription.py
+++ b/examples/foundational/13b-deepgram-transcription.py
@@ -18,8 +18,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService, Language, LiveOptions
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -31,6 +31,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            print(f"Transcription: {frame.text}")

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
 # instantiated. The function will be called when the desired transport gets
--- a/examples/foundational/13c-gladia-transcription.py
+++ b/examples/foundational/13c-gladia-transcription.py
@@ -18,8 +18,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.gladia import GladiaSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -31,6 +31,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            print(f"Transcription: {frame.text}")

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
 # instantiated. The function will be called when the desired transport gets
--- a/examples/foundational/13c-gladia-translation.py
+++ b/examples/foundational/13c-gladia-translation.py
@@ -25,8 +25,8 @@ from pipecat.services.gladia.config import (
 from pipecat.services.gladia.stt import GladiaSTTService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -40,6 +40,9 @@ class TranscriptionLogger(FrameProcessor):
        elif isinstance(frame, TranslationFrame):
            print(f"Translation ({frame.language}): {frame.text}")

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
 # instantiated. The function will be called when the desired transport gets
--- a/examples/foundational/13d-assemblyai-transcription.py
+++ b/examples/foundational/13d-assemblyai-transcription.py
@@ -18,8 +18,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.assemblyai.stt import AssemblyAISTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -31,6 +31,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            print(f"Transcription: {frame.text}")

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
 # instantiated. The function will be called when the desired transport gets
--- a/examples/foundational/13e-whisper-mlx.py
+++ b/examples/foundational/13e-whisper-mlx.py
@@ -20,8 +20,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.whisper.stt import MLXModel, WhisperSTTServiceMLX
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -52,6 +52,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            self._last_transcription_time = time.time()

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
 # instantiated. The function will be called when the desired transport gets
--- a/examples/foundational/13f-cartesia-transcription.py
+++ b/examples/foundational/13f-cartesia-transcription.py
@@ -18,8 +18,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.stt import CartesiaSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -31,6 +31,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            print(f"Transcription: {frame.text}")

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
 # instantiated. The function will be called when the desired transport gets
--- a/examples/foundational/13g-sambanova-transcription.py
+++ b/examples/foundational/13g-sambanova-transcription.py
@@ -21,8 +21,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.sambanova.stt import SambaNovaSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -53,6 +53,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            self._last_transcription_time = time.time()

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
 # instantiated. The function will be called when the desired transport gets
--- a/examples/foundational/13h-speechmatics-transcription.py
+++ b/examples/foundational/13h-speechmatics-transcription.py
@@ -19,8 +19,8 @@ from pipecat.runner.utils import create_transport
 from pipecat.services.speechmatics.stt import SpeechmaticsSTTService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -32,6 +32,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            print(f"Transcription: {frame.text}")

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
 # instantiated. The function will be called when the desired transport gets
--- a/examples/foundational/13i-soniox-transcription.py
+++ b/examples/foundational/13i-soniox-transcription.py
@@ -19,8 +19,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.soniox.stt import SonioxSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -32,6 +32,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            print(f"Transcription: {frame.text}")

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 transport_params = {
    "daily": lambda: DailyParams(
--- a/examples/foundational/13j-azure-transcription.py
+++ b/examples/foundational/13j-azure-transcription.py
@@ -19,8 +19,8 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.azure.stt import AzureSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -32,6 +32,9 @@ class TranscriptionLogger(FrameProcessor):
        if isinstance(frame, TranscriptionFrame):
            print(f"Transcription: {frame.text}")

+        # Push all frames through
+        await self.push_frame(frame, direction)
+

 transport_params = {
    "daily": lambda: DailyParams(
--- a/examples/foundational/14-function-calling.py
+++ b/examples/foundational/14-function-calling.py
@@ -12,7 +12,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -24,8 +24,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -145,7 +145,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14a-function-calling-anthropic.py
+++ b/examples/foundational/14a-function-calling-anthropic.py
@@ -13,6 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -24,8 +25,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -139,7 +140,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14aa-function-calling-aws-universal-context.py
+++ b/examples/foundational/14aa-function-calling-aws-universal-context.py
@@ -0,0 +1,214 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+
+import asyncio
+import os
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.adapters.schemas.function_schema import FunctionSchema
+from pipecat.adapters.schemas.tools_schema import ToolsSchema
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.llm_context import LLMContext
+from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import (
+    create_transport,
+    get_transport_client_id,
+    maybe_capture_participant_camera,
+)
+from pipecat.services.aws.llm import AWSBedrockLLMService
+from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.services.deepgram.stt import DeepgramSTTService
+from pipecat.services.llm_service import FunctionCallParams
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.services.daily import DailyParams
+
+load_dotenv(override=True)
+
+
+# Global variable to store the client ID
+client_id = ""
+
+
+async def get_weather(params: FunctionCallParams):
+    location = params.arguments["location"]
+    await params.result_callback(f"The weather in {location} is currently 72 degrees and sunny.")
+
+
+async def get_image(params: FunctionCallParams):
+    question = params.arguments["question"]
+    logger.debug(f"Requesting image with user_id={client_id}, question={question}")
+
+    # Request the image frame
+    await params.llm.request_image_frame(
+        user_id=client_id,
+        function_name=params.function_name,
+        tool_call_id=params.tool_call_id,
+        text_content=question,
+    )
+
+    # Wait a short time for the frame to be processed
+    await asyncio.sleep(0.5)
+
+    # Return a result to complete the function call
+    await params.result_callback(
+        f"I've captured an image from your camera and I'm analyzing what you asked about: {question}"
+    )
+
+
+# We store functions so objects (e.g. SileroVADAnalyzer) don't get
+# instantiated. The function will be called when the desired transport gets
+# selected.
+transport_params = {
+    "daily": lambda: DailyParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        video_in_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+    ),
+    "webrtc": lambda: TransportParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+        video_in_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(),
+    ),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    logger.info(f"Starting bot")
+
+    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
+
+    tts = CartesiaTTSService(
+        api_key=os.getenv("CARTESIA_API_KEY"),
+        voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
+    )
+
+    llm = AWSBedrockLLMService(
+        aws_region="us-west-2",
+        model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
+        # Note: usually, prefer providing latency="optimized" param.
+        # Here we can't because AWS Bedrock doesn't support it for Claude 3.7,
+        # which we need for image input.
+        params=AWSBedrockLLMService.InputParams(temperature=0.8),
+    )
+    llm.register_function("get_weather", get_weather)
+    llm.register_function("get_image", get_image)
+
+    weather_function = FunctionSchema(
+        name="get_weather",
+        description="Get the current weather",
+        properties={
+            "location": {
+                "type": "string",
+                "description": "The city and state, e.g. San Francisco, CA",
+            },
+        },
+        required=["location"],
+    )
+    get_image_function = FunctionSchema(
+        name="get_image",
+        description="Get an image from the video stream.",
+        properties={
+            "question": {
+                "type": "string",
+                "description": "The question that the user is asking about the image.",
+            }
+        },
+        required=["question"],
+    )
+    tools = ToolsSchema(standard_tools=[weather_function, get_image_function])
+
+    system_prompt = """\
+You are a helpful assistant who converses with a user and answers questions. Respond concisely to general questions.
+
+Your response will be turned into speech so use only simple words and punctuation.
+
+You have access to two tools: get_weather and get_image.
+
+You can respond to questions about the weather using the get_weather tool.
+
+You can answer questions about the user's video stream using the get_image tool. Some examples of phrases that \
+indicate you should use the get_image tool are:
+- What do you see?
+- What's in the video?
+- Can you describe the video?
+- Tell me about what you see.
+- Tell me something interesting about what you see.
+- What's happening in the video?
+
+If you need to use a tool, simply use the tool. Do not tell the user the tool you are using. Be brief and concise.
+    """
+
+    messages = [
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": "Start the conversation by introducing yourself."},
+    ]
+
+    context = LLMContext(messages, tools)
+    context_aggregator = LLMContextAggregatorPair(context)
+
+    pipeline = Pipeline(
+        [
+            transport.input(),  # Transport user input
+            stt,  # STT
+            context_aggregator.user(),  # User speech to text
+            llm,  # LLM
+            tts,  # TTS
+            transport.output(),  # Transport bot output
+            context_aggregator.assistant(),  # Assistant spoken responses and tool context
+        ]
+    )
+
+    task = PipelineTask(
+        pipeline,
+        params=PipelineParams(
+            enable_metrics=True,
+            enable_usage_metrics=True,
+        ),
+        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+    )
+
+    @transport.event_handler("on_client_connected")
+    async def on_client_connected(transport, client):
+        logger.info(f"Client connected: {client}")
+
+        await maybe_capture_participant_camera(transport, client)
+
+        global client_id
+        client_id = get_transport_client_id(transport, client)
+
+        # Kick off the conversation.
+        await task.queue_frames([LLMRunFrame()])
+
+    @transport.event_handler("on_client_disconnected")
+    async def on_client_disconnected(transport, client):
+        logger.info(f"Client disconnected")
+        await task.cancel()
+
+    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+    await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()
--- a/examples/foundational/14b-function-calling-anthropic-video.py
+++ b/examples/foundational/14b-function-calling-anthropic-video.py
@@ -14,6 +14,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -29,7 +30,7 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)

@@ -96,7 +97,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    llm = AnthropicLLMService(
        api_key=os.getenv("ANTHROPIC_API_KEY"),
        model="claude-3-7-sonnet-latest",
-        enable_prompt_caching_beta=True,
+        params=AnthropicLLMService.InputParams(enable_prompt_caching=True),
    )
    llm.register_function("get_weather", get_weather)
    llm.register_function("get_image", get_image)
@@ -193,7 +194,7 @@ If you need to use a tool, simply use the tool. Do not tell the user the tool yo
        client_id = get_transport_client_id(transport, client)

        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14c-function-calling-together.py
+++ b/examples/foundational/14c-function-calling-together.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +25,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.services.together.llm import TogetherLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -131,7 +131,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14d-function-calling-video.py
+++ b/examples/foundational/14d-function-calling-video.py
@@ -14,6 +14,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -29,7 +30,7 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)

@@ -182,7 +183,7 @@ indicate you should use the get_image tool are:
        client_id = get_transport_client_id(transport, client)

        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14e-function-calling-google.py
+++ b/examples/foundational/14e-function-calling-google.py
@@ -14,7 +14,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -30,7 +30,7 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.google.llm import GoogleLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams

 load_dotenv(override=True)

@@ -204,7 +204,7 @@ indicate you should use the get_image tool are:
        client_id = get_transport_client_id(transport, client)

        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14f-function-calling-groq.py
+++ b/examples/foundational/14f-function-calling-groq.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -26,8 +26,8 @@ from pipecat.services.groq.llm import GroqLLMService
 from pipecat.services.groq.stt import GroqSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -61,16 +61,14 @@ transport_params = {
 async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    logger.info(f"Starting bot")

-    stt = GroqSTTService(api_key=os.getenv("GROQ_API_KEY"), model="distil-whisper-large-v3-en")
+    stt = GroqSTTService(api_key=os.getenv("GROQ_API_KEY"))

    tts = CartesiaTTSService(
        api_key=os.getenv("CARTESIA_API_KEY"),
        voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
    )

-    llm = GroqLLMService(
-        api_key=os.getenv("GROQ_API_KEY"), model="meta-llama/llama-4-maverick-17b-128e-instruct"
-    )
+    llm = GroqLLMService(api_key=os.getenv("GROQ_API_KEY"))
    # You can also register a function_name of None to get all functions
    # sent to the same callback with an additional function_name parameter.
    llm.register_function("get_current_weather", fetch_weather_from_api)
@@ -133,7 +131,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14g-function-calling-grok.py
+++ b/examples/foundational/14g-function-calling-grok.py
@@ -13,6 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -24,8 +25,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.grok.llm import GrokLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -123,7 +124,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14h-function-calling-azure.py
+++ b/examples/foundational/14h-function-calling-azure.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +25,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -132,7 +132,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14i-function-calling-fireworks.py
+++ b/examples/foundational/14i-function-calling-fireworks.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +25,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.fireworks.llm import FireworksLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -75,9 +75,13 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    # sent to the same callback with an additional function_name parameter.
    llm.register_function("get_current_weather", fetch_weather_from_api)

-    @llm.event_handler("on_function_calls_started")
-    async def on_function_calls_started(service, function_calls):
-        await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
+    # Disabling for now, as it ends up tripping up the model in this example
+    # ("let me check on that" ends up at the end of the context, which the
+    # model erroneously treats as a nudge to call the tool again; the
+    # ensuing inference then yields wonky results).
+    # @llm.event_handler("on_function_calls_started")
+    # async def on_function_calls_started(service, function_calls):
+    #     await tts.queue_frame(TTSSpeakFrame("Let me check on that."))

    weather_function = FunctionSchema(
        name="get_current_weather",
@@ -99,7 +103,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    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.",
+            "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. Start by saying hello.",
        },
    ]

@@ -131,7 +135,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14j-function-calling-nim.py
+++ b/examples/foundational/14j-function-calling-nim.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +25,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.services.nim.llm import NimLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -129,7 +129,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14k-function-calling-cerebras.py
+++ b/examples/foundational/14k-function-calling-cerebras.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +25,8 @@ from pipecat.services.cerebras.llm import CerebrasLLMService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -67,7 +67,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
        voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
    )

-    llm = CerebrasLLMService(api_key=os.getenv("CEREBRAS_API_KEY"), model="llama-3.3-70b")
+    llm = CerebrasLLMService(api_key=os.getenv("CEREBRAS_API_KEY"))
    # You can also register a function_name of None to get all functions
    # sent to the same callback with an additional function_name parameter.
    llm.register_function("get_current_weather", fetch_weather_from_api)
@@ -138,7 +138,7 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14l-function-calling-deepseek.py
+++ b/examples/foundational/14l-function-calling-deepseek.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +25,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.deepseek.llm import DeepSeekLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -138,7 +138,7 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14m-function-calling-openrouter.py
+++ b/examples/foundational/14m-function-calling-openrouter.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +25,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.services.openrouter.llm import OpenRouterLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -132,7 +132,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14n-function-calling-perplexity.py
+++ b/examples/foundational/14n-function-calling-perplexity.py
@@ -17,6 +17,7 @@ from dotenv import load_dotenv
 from loguru import logger

 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -27,8 +28,8 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.perplexity.llm import PerplexityLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -101,7 +102,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14o-function-calling-gemini-openai-format.py
+++ b/examples/foundational/14o-function-calling-gemini-openai-format.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +25,8 @@ from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
 from pipecat.services.google.llm_openai import GoogleLLMOpenAIBetaService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -128,7 +128,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14p-function-calling-gemini-vertex-ai.py
+++ b/examples/foundational/14p-function-calling-gemini-vertex-ai.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +25,8 @@ from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
 from pipecat.services.google.llm_vertex import GoogleVertexLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -134,7 +134,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/examples/foundational/14q-function-calling-qwen.py
+++ b/examples/foundational/14q-function-calling-qwen.py
@@ -13,7 +13,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -25,8 +25,8 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.services.qwen.llm import QwenLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
-from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
-from pipecat.transports.services.daily import DailyParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams

 load_dotenv(override=True)

@@ -130,7 +130,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
--- a/Show More
+++ b/Show More