Update demos with RunnerArguments, runner_args

This reverts commit 471311b18f.

.github/workflows/build.yaml

@@ -21,20 +21,24 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
-      
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
-      
       - name: Set up Python
-        run: uv python install 3.10
-      
-      - name: Install development dependencies
-        run: uv sync --group dev
-      
+        id: setup_python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.10'
+      - name: Setup virtual environment
+        run: |
+          python -m venv .venv
+      - name: Install basic Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt
       - name: Build project
-        run: uv build
-      
-      - name: Install project in editable mode
-        run: uv pip install --editable .
+        run: |
+          source .venv/bin/activate
+          python -m build
+      - name: Install project and other Python dependencies
+        run: |
+          source .venv/bin/activate
+          pip install --editable .

.github/workflows/coverage.yaml

@@ -18,28 +18,35 @@ jobs:
     steps:
       - name: Checkout repo
         uses: actions/checkout@v4
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
-
       - name: Set up Python
-        run: uv python install 3.12
-
+        id: setup_python
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - name: Cache virtual environment
+        uses: actions/cache@v3
+        with:
+          # We are hashing dev-requirements.txt and test-requirements.txt which
+          # contain all dependencies needed to run the tests.
+          key: venv-${{ runner.os }}-${{ steps.setup_python.outputs.python-version}}-${{ hashFiles('dev-requirements.txt') }}-${{ hashFiles('test-requirements.txt') }}
+          path: .venv
       - name: Install system packages
+        id: install_system_packages
         run: |
           sudo apt-get install -y portaudio19-dev
-
-      - name: Install dependencies
+      - name: Setup virtual environment
         run: |
-          uv sync --group dev --extra anthropic --extra aws --extra google --extra langchain
-
+          python -m venv .venv
+      - name: Install basic Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt -r test-requirements.txt
       - name: Run tests with coverage
         run: |
-          uv run coverage run
-          uv run coverage xml
-
+          source .venv/bin/activate
+          coverage run
+          coverage xml
       - name: Upload coverage to Codecov
         uses: codecov/codecov-action@v5
         with:

.github/workflows/format.yaml

@@ -22,22 +22,25 @@ jobs:
     steps:
       - name: Checkout repo
         uses: actions/checkout@v4
-      
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
-      
       - name: Set up Python
-        run: uv python install 3.10
-      
-      - name: Install development dependencies
-        run: uv sync --group dev
-      
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - name: Setup virtual environment
+        run: |
+          python -m venv .venv
+      - name: Install development Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt
       - name: Ruff formatter
         id: ruff-format
-        run: uv run ruff format --diff
-      
+        run: |
+          source .venv/bin/activate
+          ruff format --diff
       - name: Ruff linter (all rules)
         id: ruff-check
-        run: uv run ruff check
+        run: |
+          source .venv/bin/activate
+          ruff check

.github/workflows/publish.yaml

@@ -17,17 +17,23 @@ jobs:
         uses: actions/checkout@v4
         with:
           ref: ${{ github.event.inputs.gitref }}
-      
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
       - name: Set up Python
-        run: uv python install 3.10
-      - name: Install development dependencies
-        run: uv sync --group dev
+        id: setup_python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.10'
+      - name: Setup virtual environment
+        run: |
+          python -m venv .venv
+      - name: Install basic Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt
       - name: Build project
-        run: uv build
+        run: |
+          source .venv/bin/activate
+          python -m build
       - name: Upload wheels
         uses: actions/upload-artifact@v4
         with:

.github/workflows/publish_test.yaml

@@ -12,16 +12,23 @@ jobs:
         with:
           fetch-tags: true
           fetch-depth: 100
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
       - name: Set up Python
-        run: uv python install 3.10
-      - name: Install development dependencies
-        run: uv sync --group dev
+        id: setup_python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.10'
+      - name: Setup virtual environment
+        run: |
+          python -m venv .venv
+      - name: Install basic Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt
       - name: Build project
-        run: uv build
+        run: |
+          source .venv/bin/activate
+          python -m build
       - name: Upload wheels
         uses: actions/upload-artifact@v4
         with:
@@ -31,7 +38,7 @@ jobs:
   publish-to-test-pypi:
     name: "Publish to Test PyPI"
     runs-on: ubuntu-latest
-    needs: [build]
+    needs: [ build ]
     environment:
       name: testpypi
       url: https://pypi.org/p/pipecat-ai

.github/workflows/python-compatibility.yaml

@@ -1,61 +0,0 @@
-name: Python Compatibility Test
-
-on:
-  push:
-    branches: [main, develop]
-    paths: ['pyproject.toml']
-  pull_request:
-    branches: [main, develop]
-    paths: ['pyproject.toml']
-
-jobs:
-  test-compatibility:
-    runs-on: ubuntu-latest
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: ['3.10.18', '3.11.13', '3.12.11', '3.13.5']
-
-    name: Python ${{ matrix.python-version }}
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Install system dependencies
-        run: |
-          sudo apt-get update
-          sudo apt-get install -y \
-            portaudio19-dev \
-            libcairo2-dev \
-            libgirepository1.0-dev \
-            pkg-config
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v4
-        with:
-          version: 'latest'
-
-      - name: Set up Python ${{ matrix.python-version }}
-        run: |
-          uv python install ${{ matrix.python-version }}
-          uv python pin ${{ matrix.python-version }}
-
-      - name: Test uv sync with all extras (Python < 3.13)
-        if: "!startsWith(matrix.python-version, '3.13.')"
-        run: |
-          uv sync --group dev --all-extras --no-extra krisp
-
-      - name: Test uv sync without PyTorch extras (Python 3.13+)
-        if: startsWith(matrix.python-version, '3.13.')
-        run: |
-          uv sync --group dev --all-extras \
-            --no-extra krisp \
-            --no-extra ultravox \
-            --no-extra local-smart-turn \
-            --no-extra moondream \
-            --no-extra mlx-whisper
-
-      - name: Verify installation
-        run: |
-          uv run python --version
-          uv run python -c "import pipecat; print('✅ Pipecat imports successfully')"

.github/workflows/sync-quickstart.yaml

@@ -1,51 +0,0 @@
-name: Sync Quickstart to pipecat-quickstart repo
-
-on:
-  push:
-    branches: [main]
-    paths:
-      - 'examples/quickstart/**'
-  workflow_dispatch: # Manual trigger
-
-jobs:
-  sync-quickstart:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout main repo
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Checkout quickstart repo
-        uses: actions/checkout@v4
-        with:
-          repository: pipecat-ai/pipecat-quickstart
-          token: ${{ secrets.QUICKSTART_SYNC_TOKEN }}
-          path: quickstart-repo
-
-      - name: Sync files (excluding uv.lock and README.md)
-        run: |
-          # Copy all files except uv.lock and README.md
-          find examples/quickstart -type f \
-            -not -name "README.md" \
-            -not -name "uv.lock" \
-            -exec cp {} quickstart-repo/ \;
-
-      - name: Commit and push changes
-        run: |
-          cd quickstart-repo
-          git config user.name "GitHub Action"
-          git config user.email "action@github.com"
-          git add .
-
-          # Only commit if there are changes
-          if ! git diff --staged --quiet; then
-            git commit -m "Sync from pipecat main repo
-            
-            Updated files from examples/quickstart/
-            Commit: ${{ github.sha }}
-            "
-            git push
-          else
-            echo "No changes to sync"
-          fi

.github/workflows/tests.yaml

@@ -22,23 +22,31 @@ jobs:
     steps:
       - name: Checkout repo
         uses: actions/checkout@v4
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v3
-        with:
-          version: "latest"
-
       - name: Set up Python
-        run: uv python install 3.12
-
+        id: setup_python
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - name: Cache virtual environment
+        uses: actions/cache@v3
+        with:
+          # We are hashing dev-requirements.txt and test-requirements.txt which
+          # contain all dependencies needed to run the tests.
+          key: venv-${{ runner.os }}-${{ steps.setup_python.outputs.python-version}}-${{ hashFiles('dev-requirements.txt') }}-${{ hashFiles('test-requirements.txt') }}
+          path: .venv
       - name: Install system packages
+        id: install_system_packages
         run: |
           sudo apt-get install -y portaudio19-dev
-
-      - name: Install dependencies
+      - name: Setup virtual environment
         run: |
-          uv sync --group dev --extra anthropic --extra aws --extra google --extra langchain
-
+          python -m venv .venv
+      - name: Install basic Python dependencies
+        run: |
+          source .venv/bin/activate
+          python -m pip install --upgrade pip
+          pip install -r dev-requirements.txt -r test-requirements.txt
       - name: Test with pytest
         run: |
-          uv run pytest
+          source .venv/bin/activate
+          pytest

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.12.1
+    rev: v0.9.7
     hooks:
       - id: ruff
         language_version: python3

.readthedocs.yaml

@@ -9,14 +9,22 @@ build:
     - python3-dev
     - libasound2-dev
   jobs:
-    post_install:
-      - pip install uv
-      - UV_PROJECT_ENVIRONMENT=$READTHEDOCS_VIRTUALENV_PATH uv sync --group docs --all-extras --no-extra krisp --no-extra gstreamer --no-extra ultravox --no-extra local_smart_turn --no-extra moondream --no-extra riva --no-extra mlx-whisper
+    pre_build:
+      - python -m pip install --upgrade pip
+      - pip install wheel setuptools
+    post_build:
+      - echo "Build completed"
 
 sphinx:
   configuration: docs/api/conf.py
   fail_on_warning: false
 
+python:
+  install:
+    - requirements: docs/api/requirements.txt
+    - method: pip
+      path: .
+
 search:
   ranking:
     api/*: 5

CHANGELOG.md

@@ -5,390 +5,12 @@ All notable changes to **Pipecat** will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [0.0.81] - 2025-08-25
+## [Unreleased]
 
 ### Added
 
-- Added `pipecat.extensions.voicemail`, a module for detecting voicemail vs.
-  live conversation, primarily intended for use in outbound calling scenarios.
-  The voicemail module is optimized for text LLMs only.
-
-- Added new frames to the `idle_timeout_frames` arg: `TranscriptionFrame`,
-  `InterimTranscriptionFrame`, `UserStartedSpeakingFrame`, and
-  `UserStoppedSpeakingFrame`. These additions serve as indicators of user
-  activity in the pipeline idle detection logic.
-
-- Allow passing custom pipeline sink and source processors to a
-  `Pipeline`. Pipeline source and sink processors are used to know and control
-  what's coming in and out of a `Pipeline` processor.
-
-- Added `FrameProcessor.pause_processing_system_frames()` and
-  `FrameProcessor.resume_processing_system_frames()`. These allow to pause and
-  resume the processing of system frame.
-
-- Added new `on_process_frame()` observer method which makes it possible to know
-  when a frame is being processed.
-
-- Added new `FrameProcessor.entry_processor()` method. This allows you to access
-  the first non-compound processor in a pipeline.
-
-- Added `FrameProcessor` properties `processors`, `next` and `previous`.
-
-- `ElevenLabsTTSService` now supports additional runtime changes to the `model`,
-  `language`, and `voice_settings` parameters.
-
-- Added `apply_text_normalization` support to `ElevenLabsTTSService` and
-  `ElevenLabsHttpTTSService`.
-
-- Added `MistralLLMService`, using Mistral's chat completion API.
-
-- Added the ability to retry executing a chat completion after a timeout period
-  for `OpenAILLMService` and its subclasses, `AnthropicLLMService`, and
-  `AWSBedrockLLMService`. The LLM services accept new args:
-  `retry_timeout_secs` and `retry_on_timeout`. This feature is disabled by
-  default.
-
-### Changed
-
-- Updated `daily-python` to 0.19.7.
-
-### Deprecated
-
-- `FrameProcessor.wait_for_task()` is deprecated. Use `await task` or `await
-  asyncio.wait_for(task, timeout)` instead.
-
-### Removed
-
-- Watchdog timers have been removed. They were introduced in 0.0.72 to help
-  diagnose pipeline freezes. Unfortunately, they proved ineffective since they
-  required developers to use Pipecat-specific queues, iterators, and events to
-  correctly reset the timer, which limited their usefulness and added friction.
-
-- Removed unused `FrameProcessor.set_parent()` and
-  `FrameProcessor.get_parent()`.
-
-### Fixed
-
-- Fixed an issue that would cause `PipelineRunner` and `PipelineTask` to not
-  handle external asyncio task cancellation properly.
-
-- Added `SpeechmaticsSTTService` exception handling on connection and sending.
-
-- Replaced `asyncio.wait_for()` for `wait_for2.wait_for()` for Python <
-  3.12. because of issues regarding task cancellation (i.e. cancellation is
-  never propagated).
-  See https://bugs.python.org/issue42130
-
-- Fixed an `AudioBufferProcessor` issues that would cause audio overlap when
-  setting a max buffer size.
-
-- Fixed an issue where `AsyncAITTSService` had very high latency in responding
-  by adding `force=true` when sending the flush command.
-
-### Performance
-
-- Improve `PipelineTask` performance by using direct mode processors and by
-  removing unnecessary tasks.
-
-- Improve `ParallelPipeline` performance by using direct mode, by not
-  creating a task for each frame and every sub-pipeline and also by removing
-  other unnecessary tasks.
-
-- `Pipeline` performance improvements by using direct mode.
-
-### Other
-
-- Added `14w-function-calling-mistal.py` using `MistralLLMService`.
-
-- Added `13j-azure-transcription.py` using `AzureSTTService`.
-
-## [0.0.80] - 2025-08-13
-
-### Added
-
-- Added `GeminiTTSService` which uses Google Gemini to generate TTS output. The
-  Gemini model can be prompted to insert styled speech to control the TTS
-  output.
-
-- Added Exotel support to Pipecat's development runner. You can now connect
-  using the runner with `uv run bot.py -t exotel` and an ngrok connection to
-  HTTP port 7860.
-
-- Added `enable_direct_mode` argument to `FrameProcessor`. The direct mode is
-  for processors which require very little I/O or compute resources, that is
-  processors that can perform their task almost immediately. These type of
-  processors don't need any of the internal tasks and queues usually created by
-  frame processors which means overall application performance might be slightly
-  increased. Use with care.
-
-- Added TTFB metrics for `HeyGenVideoService` and `TavusVideoService`.
-
-- Added `endpoint_id` parameter to `AzureSTTService`. ([Custom EndpointId](https://docs.azure.cn/en-us/ai-services/speech-service/how-to-recognize-speech?pivots=programming-language-python#use-a-custom-endpoint))
-
-### Changed
-
-- `WatchdogPriorityQueue` now requires the items to be inserted to always be
-  tuples and the size of the tuple needs to be specified in the constructor when
-  creating the queue with the `tuple_size` argument.
-
-- Updated Moondream to revision `2025-01-09`.
-
-- Updated `PlayHTHttpTTSService` to no longer use the `pyht` client to remove
-  compatibility issues with other packages. Now you can use the PlayHT HTTP
-  service with other services, like GoogleLLMService.
-
-- Updated `pyproject.toml` to once again pin `numba` to `>=0.61.2` in order to
-  resolve package versioning issues.
-
-- Updated the `STTMuteFilter` to include `VADUserStartedSpeakingFrame` and
-  `VADUserStoppedSpeakingFrame` in the list of frames to filter when the
-  filtering is on.
-
-### Performance
-
-- Improving the latency of the `HeyGenVideoService`.
-
-- Improved some frame processors performance by using the new frame processor
-  direct mode. In direct mode a frame processor will process frames right away
-  avoiding the need for internal queues and tasks. This is useful for some
-  simple processors. For example, in processors that wrap other processors
-  (e.g. `Pipeline`, `ParallelPipeline`), we add one processor before and one
-  after the wrapped processors (internally, you will see them as sources and
-  sinks). These sources and sinks don't do any special processing and they
-  basically forward frames. So, for these simple processors we now enable the
-  new direct mode which avoids creating any internal tasks (and queues) and
-  therefore improves performance.
-
-### Fixed
-
-- Fixed an issue with the `BaseWhisperSTTService` where the language was
-  specified as an enum and not a string.
-
-- Fixed an issue where `SmallWebRTCTransport` ended before TTS finished.
-
-- Fixed an issue in `OpenAIRealtimeBetaLLMService` where specifying a `text`
-  `modalities` didn't result in text being outputted from the model.
-
-- Added SSML reserved character escaping to `AzureBaseTTSService` to properly
-  handle special characters in text sent to Azure TTS. This fixes an issue
-  where characters like `&`, `<`, `>`, `"`, and `'` in LLM-generated text would
-  cause TTS failures.
-
-- Fixed a `WatchdogPriorityQueue` issue that could cause an exception when
-  compating watchdog cancel sentinel items with other items in the queue.
-
-- Fixed an issue that would cause system frames to not be processed with higher
-  priority than other frames. This could cause slower interruption times.
-
-- Fixed an issue where retrying a websocket connection error would result in an
-  error.
-
-### Other
-
-- Add foundation example `19b-openai-realtime-beta-text.py`, showing how to use
-  `OpenAIRealtimeBetaLLMService` to output text to a TTS service.
-
-- Add vision support to release evals so we can run the foundational examples 12
-  series.
-
-- Added foundational example `15a-switch-languages.py` to release evals. It is
-  able to detect if we switched the language properly.
-
-- Updated foundational examples to show how to enclose complex logic
-  (e.g. `ParallelPipeline`) into a single processor so the main pipeline becomes
-  simpler.
-
-- Added `07n-interruptible-gemini.py`, demonstrating how to use
-  `GeminiTTSService`.
-
-## [0.0.79] - 2025-08-07
-
-### Changed
-
-- Changed `pipecat-ai`'s `openai` dependency to `>=1.74.0,<=1.99.1` due to a
-  breaking change in `openai` 1.99.2 ([commit](https://github.com/openai/openai-python/commit/657f551dbe583ffb259d987dafae12c6211fba06))
-
-### Deprecated
-
-- `TTSService.say()` is deprecated, push a `TTSSpeakFrame` instead. Calling
-  functions directly is a discouraged pattern in Pipecat because, for example,
-  it might cause issues with frame ordering.
-
-- `LLMMessagesFrame` is deprecated, in favor of either:
-
-  - `LLMMessagesUpdateFrame` with `run_llm=True`
-  - `OpenAILLMContextFrame` with desired messages in a new context
-
-- `LLMUserResponseAggregator` and `LLMAssistantResponseAggregator` are
-  deprecated, as they depended on the now-deprecated `LLMMessagesFrame`. Use
-  `LLMUserContextAggregator` and `LLMAssistantResponseAggregator` (or
-  LLM-specific subclasses thereof) instead.
-
-## [0.0.78] - 2025-08-07
-
-### Added
-
-- Added `enable_emulated_vad_interruptions` to `LLMUserAggregatorParams`.
-  When user speech is emulated (e.g. when a transcription is received but
-  VAD doesn't detect speech), this parameter controls whether the emulated
-  speech can interrupt the bot. Default is False (emulated speech is ignored
-  while the bot is speaking).
-
-- Added new `handle_sigint` and `handle_sigterm` to `RunnerArguments`. This
-  allows applications to know what settings they should use for the environment
-  they are running on. Also, added `pipeline_idle_timeout_secs` to be able to
-  control the `PipelineTask` idle timeout.
-
-- Added `processor` field to `ErrorFrame` to indicate `FrameProcessor` that
-  generated the error.
-
-- Added new language support for `AWSTranscribeSTTService`. All languages
-  supporting streaming data input are now supported:
-  https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html
-
-- Added support for Simli Trinity Avatars. A new `is_trinity_avatar` parameter
-  has been introduced to specify whether the provided `faceId` corresponds to a
-  Trinity avatar, which is required for optimal Trinity avatar performance.
-
-- The development runner how handles custom `body` data for `DailyTransport`.
-  The `body` data is passed to the Pipecat client. You can POST to the `/start`
-  endpoint with a request body of:
-
-  ```
-  {
-      "createDailyRoom": true,
-      "dailyRoomProperties": { "start_video_off": true },
-      "body": { "custom_data": "value" }
-  }
-  ```
-
-  The `body` information is parsed and used in the application. The
-  `dailyRoomProperties` are currently not handled.
-
-- Added detailed latency logging to `UserBotLatencyLogObserver`, capturing
-  average response time between user stop and bot start, as well as minimum and
-  maximum response latency.
-
-- Added Chinese, Japanese, Korean word timestamp support to
-  `CartesiaTTSService`.
-
-- Added `region` parameter to `GladiaSTTService`. Accepted values: eu-west
-  (default), us-west.
-
-### Changed
-
-- System frames are now queued. Before, system frames could be generated from
-  any task and would not guarantee any order which was causing undesired
-  behavior. Also, it was possible to get into some rare recursion issues because
-  of the way system frames were executed (they were executed in-place, meaning
-  calling `push_frame()` would finish after the system frame traversed all the
-  pipeline). This makes system frames more deterministic.
-
-- Changed the default model for both `ElevenLabsTTSService` and
-  `ElevenLabsHttpTTSService` to `eleven_turbo_v2_5`. The rationale for this
-  change is that the Turbo v2.5 model exhibits the most stable voice quality
-  along with very low latency TTFB; latencies are on par with the Flash v2.5
-  model. Also, the Turbo v2.5 model outputs word/timestamp alignment data with
-  correct spacing.
-
-- The development runners `/connect` and `/start` endpoint now both return
-  `dailyRoom` and `dailyToken` in place of the previous `room_url` and `token`.
-
-- Updated the `pipecat.runner.daily` utility to only a take `DAILY_API_URL` and
-  `DAILY_SAMPLE_ROOM_URL` environment variables instead of argparsing `-u` and
-  `-k`, respectively.
-
-- Updated `daily-python` to 0.19.6.
-
-- Changed `TavusVideoService` to send audio or video frames only after the
-  transport is ready, preventing warning messages at startup.
-
-- The development runner now strips any provided protocol (e.g. https://) from
-  the proxy address and issues a warning. It also strips trailing `/`.
-
-### Deprecated
-
-- In the `pipecat.runner.daily`, the `configure_with_args()` function is
-  deprecated. Use the `configure()` function instead.
-
-- The development runner's `/connect` endpoint is deprecated and will be
-  removed in a future version. Use the `/start` endpoint in its place. In the
-  meantime, both endpoints work and deliver equivalent functionality.
-
-### Fixed
-
-- Fixed a `DailyTransport` issue that would result in an unhandled
-  `concurrent.futures.CancelledError` when a future is cancelled.
-
-- Fixed a `RivaSTTService` issue that would result in an unhandled
-  `concurrent.futures.CancelledError` when a future is cancelled when reading
-  from the audio chunks from the incoming audio stream.
-
-- Fixed an issue in the `BaseOutputTransport`, mainly reproducible with
-  `FastAPIWebsocketOutputTransport` when the audio mixer was enabled, where the
-  loop could consume 100% CPU by continuously returning without delay, preventing
-  other asyncio tasks (such as cancellation or shutdown signals) from being
-  processed.
-
-- Fixed an issue where `BotStartedSpeakingFrame` and `BotStoppedSpeakingFrame`
-  were not emitted when using `TavusVideoService` or `HeyGenVideoService`.
-
-- Fixed an issue in `LiveKitTransport` where empty `AudioRawFrame`s were pushed
-  down the pipeline. This resulted in warnings by the STT processor.
-- Fixed `PiperTTSService` to send text as a JSON object in the request body,
-  resolving compatibility with Piper's HTTP API.
-
-- Fixed an issue with the `TavusVideoService` where an error was thrown due to
-  missing transcription callbacks.
-
-- Fixed an issue in `SpeechmaticsSTTService` where the `user_id` was set to
-  `None` when diarization is not enabled.
-
-### Performance
-
-- Fixed an issue in `TaskObserver` (a proxy to all observers) that was degrading
-  global performance.
-
-### Other
-
-- Added `07aa-interruptible-soniox.py`, `07ab-interruptible-inworld-http.py`,
-  `07ac-interruptible-asyncai.py` and `07ac-interruptible-asyncai-http.py`
-  release evals.
-
-## [0.0.77] - 2025-07-31
-
-### Added
-
-- Added `InputTextRawFrame` frame type to handle user text input with Gemini
-  Multimodal Live.
-
-- Added `HeyGenVideoService`. This is an integration for HeyGen Interactive
-  Avatar. A video service that handles audio streaming and requests HeyGen to
-  generate avatar video responses. (see https://www.heygen.com/)
-
-- Added the ability to switch voices to `RimeTTSService`.
-
-- Added unified development runner for building voice AI bots across multiple
-  transports
-
-  - `pipecat.runner.run` – FastAPI-based development server with automatic bot
-    discovery
-  - `pipecat.runner.types` – Runner session argument types
-    (`DailyRunnerArguments`, `SmallWebRTCRunnerArguments`,
-    `WebSocketRunnerArguments`)
-  - `pipecat.runner.utils.create_transport()` – Factory function for creating
-    transports from session arguments
-  - `pipecat.runner.daily` and `pipecat.runner.livekit` – Configuration
-    utilities for Daily and LiveKit setups
-  - Support for all transport types: Daily, WebRTC, Twilio, Telnyx, Plivo
-  - Automatic telephony provider detection and serializer configuration
-  - ESP32 WebRTC compatibility with SDP munging
-  - Environment detection (`ENV=local`) for conditional features
-
 - Added Async.ai TTS integration (https://async.ai/)
-
-  - `AsyncAITTSService` – WebSocket-based streaming TTS with interruption
-    support
+  - `AsyncAITTSService` – WebSocket-based streaming TTS with interruption support
   - `AsyncAIHttpTTSService` – HTTP-based streaming TTS service
   - Example scripts:
     - `examples/foundational/07ac-interruptible-asyncai.py` (WebSocket demo)
@@ -399,9 +21,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Added a new TTS service, `InworldTTSService`. This service provides
   low-latency, high-quality speech generation using Inworld's streaming API.
 
-- Added a new field `handle_sigterm` to `PipelineRunner`. It defaults to
-  `False`. This field handles SIGTERM signals. The `handle_sigint` field still
-  defaults to `True`, but now it handles only SIGINT signals.
+- Added a new field `handle_sigterm` to `PipelineRunner`. It defaults to `False`.
+  This field handles SIGTERM signals. The `handle_sigint` field still defaults
+  to `True`, but now it handles only SIGINT signals.
 
 - Added foundational example `14u-function-calling-ollama.py` for Ollama
   function calling.
@@ -412,18 +34,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Added `set_log_level` to `DailyTransport`, allowing setting the logging level
   for Daily's internal logging system.
 
-- Added `on_transcription_stopped` and `on_transcription_error` to Daily
-  callbacks.
+- Added `on_transcription_stopped` and `on_transcription_error` to Daily callbacks.
 
 ### Changed
 
-- Changed the default `url` for `NeuphonicTTSService` to
-  `wss://api.neuphonic.com` as it provides better global performance. You can
-  set the URL to other URLs, such as the previous default:
-  `wss://eu-west-1.api.neuphonic.com`.
-
-- Update `daily-python` to 0.19.5.
-
 - `STTMuteFilter` now pushes the `STTMuteFrame` upstream and downstream, to
   allow for more flexible `STTMuteFilter` placement.
 
@@ -472,29 +86,13 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - For `LmntTTSService`, changed the default `model` to `blizzard`, LMNT's
   recommended model.
 
-- Updated `SpeechmaticsSTTService`:
-  - Added support for additional diarization options.
-  - Added foundational example `07a-interruptible-speechmatics-vad.py`, which
-    uses VAD detection provided by `SpeechmaticsSTTService`.
-
 ### Fixed
 
-- Fixed a `LLMUserResponseAggregator` issue where interruptions were not being
-  handled properly.
-
-- Fixed `PiperTTSService` to work with newer Piper GPL.
-
-- Fixed a race condition in `FastAPIWebsocketClient` that occurred when
-  attempting to send a message while the client was disconnecting.
-
-- Fixed an issue in `GoogleLLMService` where interruptions did not work when an
-  interruption strategy was used.
-
 - Fixed an issue in the `TranscriptProcessor` where newline characters could
   cause the transcript output to be corrupted (e.g. missing all spaces).
 
-- Fixed an issue in `AudioBufferProcessor` when using `SmallWebRTCTransport`
-  where, if the microphone was muted, track timing was not respected.
+- Fixed an issue in `AudioBufferProcessor` when using `SmallWebRTCTransport` where, if
+  the microphone was muted, track timing was not respected.
 
 - Fixed an error that occurs when pushing an `LLMMessagesFrame`. Only some LLM
   services, like Grok, are impacted by this issue. The fix is to remove the
@@ -518,26 +116,18 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Fixed an issue in `ElevenLabsTTSService` where the word/timestamp pairs were
   calculating word boundaries incorrectly.
 
-- Fixed an issue where, in some edge cases, the
-  `EmulateUserStartedSpeakingFrame` could be created even if we didn't have a
-  transcription.
+- Fixed an issue where, in some edge cases, the `EmulateUserStartedSpeakingFrame`
+  could be created even if we didn't have a transcription.
 
 - Fixed an issue in `GoogleLLMContext` where it would inject the
   `system_message` as a "user" message into cases where it was not meant to;
   it was only meant to do that when there were no "regular" (non-function-call)
   messages in the context, to ensure that inference would run properly.
 
-- Fixed an issue in `LiveKitTransport` where the `on_audio_track_subscribed` was
-  never emitted.
+- Fixed an issue in `LiveKitTransport` where the `on_audio_track_subscribed` was never emitted.
 
 ### Other
 
-- Added new quickstart demos:
-
-  - examples/quickstart: voice AI bot quickstart
-  - examples/client-server-web: client/server starter example
-  - examples/phone-bot-twilio: twilio starter example
-
 - Removed most of the examples from the pipecat repo. Examples can now be
   found in: https://github.com/pipecat-ai/pipecat-examples.
 

CONTRIBUTING.md

@@ -31,23 +31,6 @@ git push origin your-branch-name
 
 Our maintainers will review your PR, and once everything is good, your contributions will be merged!
 
-## Dependency Management
-
-This project uses [uv](https://docs.astral.sh/uv/) for dependency management. The `uv.lock` file is committed to ensure reproducible builds.
-
-### Adding or Updating Dependencies
-
-1. Edit `pyproject.toml` to add/update dependencies
-2. Run `uv lock` to update the lockfile with new dependency resolution
-3. Run `uv sync` to install the updated dependencies locally
-4. Always commit both files together:
-   ```bash
-   git add pyproject.toml uv.lock
-   git commit -m "feat: add new dependency for feature X"
-   ```
-
-**Important:** Never manually edit `uv.lock`. It's auto-generated by `uv lock`.
-
 ## Code Style and Documentation
 
 ### Python Code Style

README.md

@@ -8,7 +8,7 @@
 
 **Pipecat** is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.
 
-> Want to dive right in? Try the [quickstart](https://docs.pipecat.ai/getting-started/quickstart).
+> Want to dive right in? [Install Pipecat](https://docs.pipecat.ai/getting-started/installation) then try the [quickstart](https://docs.pipecat.ai/getting-started/quickstart).
 
 ## 🚀 What You Can Build
 
@@ -51,124 +51,98 @@ You can connect to Pipecat from any platform using our official SDKs:
 
 ## 🧩 Available services
 
-| Category            | Services                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
-| ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| Speech-to-Text      | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Cartesia](https://docs.pipecat.ai/server/services/stt/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [Fal Wizper](https://docs.pipecat.ai/server/services/stt/fal), [Gladia](https://docs.pipecat.ai/server/services/stt/gladia), [Google](https://docs.pipecat.ai/server/services/stt/google), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [NVIDIA Riva](https://docs.pipecat.ai/server/services/stt/riva), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [SambaNova (Whisper)](https://docs.pipecat.ai/server/services/stt/sambanova), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Ultravox](https://docs.pipecat.ai/server/services/stt/ultravox), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper)                                                                                                                                                                                          |
-| LLMs                | [Anthropic](https://docs.pipecat.ai/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/server/services/llm/aws), [Azure](https://docs.pipecat.ai/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [Mistral](https://docs.pipecat.ai/server/services/llm/mistral), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [OpenRouter](https://docs.pipecat.ai/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/server/services/llm/qwen), [SambaNova](https://docs.pipecat.ai/server/services/llm/sambanova) [Together AI](https://docs.pipecat.ai/server/services/llm/together)                                                                                          |
-| Text-to-Speech      | [Async](https://docs.pipecat.ai/server/services/tts/asyncai), [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [Groq](https://docs.pipecat.ai/server/services/tts/groq), [Inworld](https://docs.pipecat.ai/server/services/tts/inworld), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/server/services/tts/minimax), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [NVIDIA Riva](https://docs.pipecat.ai/server/services/tts/riva), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [Piper](https://docs.pipecat.ai/server/services/tts/piper), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) |
-| Speech-to-Speech    | [AWS Nova Sonic](https://docs.pipecat.ai/server/services/s2s/aws), [Gemini Multimodal Live](https://docs.pipecat.ai/server/services/s2s/gemini), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
-| Transport           | [Daily (WebRTC)](https://docs.pipecat.ai/server/services/transport/daily), [FastAPI Websocket](https://docs.pipecat.ai/server/services/transport/fastapi-websocket), [SmallWebRTCTransport](https://docs.pipecat.ai/server/services/transport/small-webrtc), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), Local                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
-| Serializers         | [Plivo](https://docs.pipecat.ai/server/utilities/serializers/plivo), [Twilio](https://docs.pipecat.ai/server/utilities/serializers/twilio), [Telnyx](https://docs.pipecat.ai/server/utilities/serializers/telnyx)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
-| 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)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
-| Analytics & Metrics | [OpenTelemetry](https://docs.pipecat.ai/server/utilities/opentelemetry), [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
+| Category            | Services                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
+| ------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| Speech-to-Text      | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Cartesia](https://docs.pipecat.ai/server/services/stt/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [Fal Wizper](https://docs.pipecat.ai/server/services/stt/fal), [Gladia](https://docs.pipecat.ai/server/services/stt/gladia), [Google](https://docs.pipecat.ai/server/services/stt/google), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [NVIDIA Riva](https://docs.pipecat.ai/server/services/stt/riva), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [SambaNova (Whisper)](https://docs.pipecat.ai/server/services/stt/sambanova), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Ultravox](https://docs.pipecat.ai/server/services/stt/ultravox), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper)                                                                                                                            |
+| LLMs                | [Anthropic](https://docs.pipecat.ai/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/server/services/llm/aws), [Azure](https://docs.pipecat.ai/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [OpenRouter](https://docs.pipecat.ai/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/server/services/llm/qwen), [SambaNova](https://docs.pipecat.ai/server/services/llm/sambanova) [Together AI](https://docs.pipecat.ai/server/services/llm/together)                                                                                            |
+| Text-to-Speech      | [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [Groq](https://docs.pipecat.ai/server/services/tts/groq), [Inworld](https://docs.pipecat.ai/server/services/tts/inworld), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/server/services/tts/minimax), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [NVIDIA Riva](https://docs.pipecat.ai/server/services/tts/riva), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [Piper](https://docs.pipecat.ai/server/services/tts/piper), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) |
+| Speech-to-Speech    | [AWS Nova Sonic](https://docs.pipecat.ai/server/services/s2s/aws), [Gemini Multimodal Live](https://docs.pipecat.ai/server/services/s2s/gemini), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+| Transport           | [Daily (WebRTC)](https://docs.pipecat.ai/server/services/transport/daily), [FastAPI Websocket](https://docs.pipecat.ai/server/services/transport/fastapi-websocket), [SmallWebRTCTransport](https://docs.pipecat.ai/server/services/transport/small-webrtc), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), Local                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
+| Serializers         | [Plivo](https://docs.pipecat.ai/server/utilities/serializers/plivo), [Twilio](https://docs.pipecat.ai/server/utilities/serializers/twilio), [Telnyx](https://docs.pipecat.ai/server/utilities/serializers/telnyx)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
+| Video               | [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)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
+| 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)
 
 ## ⚡ Getting started
 
-You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.
+You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you’re ready.
 
-1. Install uv
+```shell
+# Install the module
+pip install pipecat-ai
 
-   ```bash
-   curl -LsSf https://astral.sh/uv/install.sh | sh
-   ```
+# Set up your environment
+cp dot-env.template .env
+```
 
-   > **Need help?** Refer to the [uv install documentation](https://docs.astral.sh/uv/getting-started/installation/).
+To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:
 
-2. Install the module
-
-   ```bash
-   # For new projects
-   uv init my-pipecat-app
-   cd my-pipecat-app
-   uv add pipecat-ai
-
-   # Or for existing projects
-   uv add pipecat-ai
-   ```
-
-3. Set up your environment
-
-   ```bash
-   cp env.example .env
-   ```
-
-4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:
-
-   ```bash
-   uv add "pipecat-ai[option,...]"
-   ```
-
-> **Using pip?** You can still use `pip install pipecat-ai` and `pip install "pipecat-ai[option,...]"` to get set up.
+```shell
+pip install "pipecat-ai[option,...]"
+```
 
 ## 🧪 Code examples
 
 - [Foundational](https://github.com/pipecat-ai/pipecat/tree/main/examples/foundational) — small snippets that build on each other, introducing one or two concepts at a time
 - [Example apps](https://github.com/pipecat-ai/pipecat-examples) — complete applications that you can use as starting points for development
 
-## 🛠️ Contributing to the framework
+## 🛠️ Hacking on the framework itself
 
-### Prerequisites
+1. Set up a virtual environment before following these instructions. From the root of the repo:
 
-**Minimum Python Version:** 3.10
-**Recommended Python Version:** 3.12
-
-### Setup Steps
-
-1. Clone the repository and navigate to it:
-
-   ```bash
-   git clone https://github.com/pipecat-ai/pipecat.git
-   cd pipecat
+   ```shell
+   python3 -m venv venv
+   source venv/bin/activate
    ```
 
-2. Install development and testing dependencies:
+2. Install the development dependencies:
 
-   ```bash
-   uv sync --group dev --all-extras --no-extra gstreamer --no-extra krisp --no-extra local
+   ```shell
+   pip install -r dev-requirements.txt
    ```
 
-3. Install the git pre-commit hooks:
+3. Install the git pre-commit hooks (these help ensure your code follows project rules):
 
-   ```bash
-   uv run pre-commit install
+   ```shell
+   pre-commit install
    ```
 
-### Python 3.13+ Compatibility
+4. Install the `pipecat-ai` package locally in editable mode:
 
-Some features require PyTorch, which doesn't yet support Python 3.13+. Install using:
+   ```shell
+   pip install -e .
+   ```
 
-```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
-```
+   > The `-e` or `--editable` option allows you to modify the code without reinstalling.
 
-> **Tip:** For full compatibility, use Python 3.12: `uv python pin 3.12`
+5. Include optional dependencies as needed. For example:
 
-> **Note**: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.
+   ```shell
+   pip install -e ".[daily,deepgram,cartesia,openai,silero]"
+   ```
+
+6. (Optional) If you want to use this package from another directory:
+
+   ```shell
+   pip install "path_to_this_repo[option,...]"
+   ```
 
 ### Running tests
 
-To run all tests, from the root directory:
+Install the test dependencies:
 
-```bash
-uv run pytest
+```shell
+pip install -r test-requirements.txt
 ```
 
-Run a specific test suite:
+From the root directory, run:
 
-```bash
-uv run pytest tests/test_name.py
+```shell
+pytest
 ```
 
 ### Setting up your editor

dev-requirements.txt

@@ -0,0 +1,13 @@
+build~=1.2.2
+coverage~=7.9.1
+grpcio-tools~=1.67.1
+pip-tools~=7.4.1
+pre-commit~=4.2.0
+pyright~=1.1.402
+pytest~=8.4.1
+pytest-asyncio~=1.0.0
+pytest-aiohttp==1.1.0
+ruff~=0.12.1
+setuptools~=78.1.1
+setuptools_scm~=8.3.1
+python-dotenv~=1.1.1

docs/README.md

@@ -0,0 +1,10 @@
+# Pipecat Docs
+
+## [Architecture Overview](architecture.md)
+
+Learn about the thinking behind the framework's design.
+
+## [A Frame's Progress](frame-progress.md)
+
+See how a Frame is processed through a Transport, a Pipeline, and a series of Frame Processors.
+

docs/api/build-docs.sh

@@ -1,27 +1,17 @@
 #!/bin/bash
 
-# Build docs using uv
-echo "Installing dependencies with uv..."
-uv sync --group docs --all-extras --no-extra krisp --no-extra gstreamer --no-extra ultravox --no-extra local_smart_turn --no-extra moondream --no-extra riva --no-extra mlx-whisper
-
-# Check if sphinx-build is available
-if ! uv run sphinx-build --version &> /dev/null; then
-    echo "Error: sphinx-build is not available" >&2
+# Check if sphinx-build is installed
+if ! command -v sphinx-build &> /dev/null; then
+    echo "Error: sphinx-build is not installed or not in PATH" >&2
+    echo "Please install Sphinx using: pip install -r requirements.txt" >&2
     exit 1
 fi
 
 # Clean previous build
 rm -rf _build
 
-echo "Building documentation..."
 # Build docs matching ReadTheDocs configuration
-uv run sphinx-build -b html -d _build/doctrees . _build/html -W --keep-going
+sphinx-build -b html -d _build/doctrees . _build/html -W --keep-going
 
-if [ $? -eq 0 ]; then
-    echo "Documentation built successfully!"
-    # Open docs (MacOS)
-    open _build/html/index.html
-else
-    echo "Documentation build failed!" >&2
-    exit 1
-fi
+# Open docs (MacOS)
+open _build/html/index.html

docs/api/conf.py

@@ -1,5 +1,4 @@
 import logging
-import os
 import sys
 from datetime import datetime
 from pathlib import Path
@@ -29,7 +28,6 @@ extensions = [
 
 suppress_warnings = [
     "autodoc.mocked_object",
-    "toc.not_included",
 ]
 
 # Napoleon settings
@@ -47,40 +45,85 @@ autodoc_default_options = {
 
 # Mock imports for optional dependencies
 autodoc_mock_imports = [
-    # Krisp - has build issues on some platforms
-    "pipecat_ai_krisp",
+    "riva",
+    "livekit",
+    "pyht",  # Base PlayHT package
+    "pyht.async_client",  # PlayHT specific imports
+    "pyht.client",
+    "pyht.protos",
+    "pyht.protos.api_pb2",
+    "pipecat_ai_playht",  # PlayHT wrapper
+    "aiortc",
+    "aiortc.mediastreams",
+    "cv2",
+    "av",
+    "pyneuphonic",
+    "mem0",
+    "mlx_whisper",
+    "anthropic",
+    "assemblyai",
+    "boto3",
+    "azure",
+    "cartesia",
+    "deepgram",
+    "elevenlabs",
+    "fal",
+    "gladia",
+    "google",
     "krisp",
-    # System-specific GUI libraries
+    "langchain",
+    "lmnt",
+    "noisereduce",
+    "openpipe",
+    "simli",
+    "soundfile",
+    "soniox",
+    "pipecat_ai_krisp",
+    "pyaudio",
     "_tkinter",
     "tkinter",
-    # Platform-specific audio libraries (if needed)
-    "gi",
-    "gi.require_version",
-    "gi.repository",
-    # OpenCV - sometimes has import issues during docs build
-    "cv2",
-    # Heavy ML packages excluded from ReadTheDocs
-    # ultravox dependencies
+    "daily",
+    "daily_python",
+    # Moondream dependencies
+    "torch",
+    "transformers",
+    "intel_extension_for_pytorch",
+    # Ultravox dependencies
+    "huggingface_hub",
     "vllm",
     "vllm.engine.arg_utils",
-    # local-smart-turn dependencies
-    "coremltools",
-    "coremltools.models",
-    "coremltools.models.MLModel",
-    "torch",
-    "torch.nn",
-    "torch.nn.functional",
-    "torchaudio",
-    # moondream dependencies
-    "transformers",
     "transformers.AutoTokenizer",
-    "transformers.AutoFeatureExtractor",
-    "AutoFeatureExtractor",
-    "timm",
-    "einops",
-    "intel_extension_for_pytorch",
-    "huggingface_hub",
-    # riva dependencies
+    # Langchain dependencies
+    "langchain_core",
+    "langchain_core.messages",
+    "langchain_core.runnables",
+    "langchain_core.messages.AIMessageChunk",
+    "langchain_core.runnables.Runnable",
+    # LiveKit dependencies
+    "livekit",
+    "livekit.rtc",
+    "livekit_api",
+    "livekit_protocol",
+    "tenacity",
+    "tenacity.retry",
+    "tenacity.stop_after_attempt",
+    "tenacity.wait_exponential",
+    "rtc",
+    "rtc.Room",
+    "rtc.RoomOptions",
+    "rtc.AudioSource",
+    "rtc.LocalAudioTrack",
+    "rtc.TrackPublishOptions",
+    "rtc.TrackSource",
+    "rtc.AudioStream",
+    "rtc.AudioFrameEvent",
+    "rtc.AudioFrame",
+    "rtc.Track",
+    "rtc.TrackKind",
+    "rtc.RemoteParticipant",
+    "rtc.RemoteTrackPublication",
+    "rtc.DataPacket",
+    # Riva dependencies
     "riva",
     "riva.client",
     "riva.client.Auth",
@@ -90,14 +133,57 @@ autodoc_mock_imports = [
     "riva.client.AudioEncoding",
     "riva.client.proto.riva_tts_pb2",
     "riva.client.SpeechSynthesisService",
-    # MLX dependencies (Apple Silicon specific)
-    "mlx",
-    "mlx_whisper",  # Note: might need underscore format too
+    # Local CoreML Smart Turn dependencies
+    "coremltools",
+    "coremltools.models",
+    "coremltools.models.MLModel",
+    "torch",
+    "torch.nn",
+    "torch.nn.functional",
+    "transformers",
+    "transformers.AutoFeatureExtractor",
+    # Also add specific classes that are imported
+    "AutoFeatureExtractor",
+    # Sentry dependencies
+    "sentry_sdk",
+    # AWS Nova Sonic dependencies
+    "aws_sdk_bedrock_runtime",
+    "aws_sdk_bedrock_runtime.client",
+    "aws_sdk_bedrock_runtime.config",
+    "aws_sdk_bedrock_runtime.models",
+    "smithy_aws_core",
+    "smithy_aws_core.credentials_resolvers",
+    "smithy_aws_core.credentials_resolvers.static",
+    "smithy_aws_core.identity",
+    "smithy_core",
+    "smithy_core.aio",
+    "smithy_core.aio.eventstream",
+    # MCP dependencies (you may already have these)
+    "mcp",
+    "mcp.client",
+    "mcp.client.session_group",
+    "mcp.client.sse",
+    "mcp.client.stdio",
+    "mcp.ClientSession",
+    "mcp.StdioServerParameters",
+    # gstreamer
+    "gi",
+    "gi.require_version",
+    "gi.repository",
+    # Protobuf mocks
+    "pipecat.frames.protobufs.frames_pb2",
+    "pipecat.serializers.protobuf",
+    "google.protobuf",
+    "google.protobuf.descriptor",
+    "google.protobuf.descriptor_pool",
+    "google.protobuf.runtime_version",
+    "google.protobuf.symbol_database",
+    "google.protobuf.internal.builder",
 ]
 
 # HTML output settings
 html_theme = "sphinx_rtd_theme"
-html_static_path = ["_static"] if os.path.exists("_static") else []
+html_static_path = ["_static"]
 autodoc_typehints = "signature"  # Show type hints in the signature only, not in the docstring
 html_show_sphinx = False
 

docs/api/index.rst

@@ -14,7 +14,7 @@ Quick Links
 * `Join our Community <https://discord.gg/pipecat>`_
 
 .. toctree::
-   :maxdepth: 2
+   :maxdepth: 3
    :caption: API Reference
    :hidden:
 

docs/api/requirements.txt

@@ -0,0 +1,59 @@
+# Sphinx dependencies
+sphinx>=8.1.3
+sphinx-rtd-theme
+sphinx-markdown-builder
+sphinx-autodoc-typehints
+toml
+
+# Install all extras individually to ensure they're properly resolved
+pipecat-ai[anthropic]
+pipecat-ai[assemblyai]
+pipecat-ai[asyncai]
+pipecat-ai[aws]
+pipecat-ai[azure]
+pipecat-ai[cartesia]
+pipecat-ai[cerebras]
+pipecat-ai[deepseek]
+pipecat-ai[daily]
+pipecat-ai[deepgram]
+pipecat-ai[elevenlabs]
+pipecat-ai[fal]
+pipecat-ai[fireworks]
+pipecat-ai[fish]
+pipecat-ai[gladia]
+pipecat-ai[google]
+pipecat-ai[grok]
+pipecat-ai[groq]
+pipecat-ai[inworld]
+# pipecat-ai[krisp] # Mocked
+pipecat-ai[koala]
+# pipecat-ai[langchain] # Mocked
+# pipecat-ai[livekit] # Mocked
+pipecat-ai[lmnt]
+pipecat-ai[local]
+# pipecat-ai[local-smart-turn] # Mocked
+# pipecat-ai[mem0] # Mocked
+# pipecat-ai[mlx-whisper] # Mocked
+# pipecat-ai[moondream] # Mocked
+pipecat-ai[nim]
+# pipecat-ai[neuphonic] # Mocked
+pipecat-ai[noisereduce]
+pipecat-ai[openai]
+# pipecat-ai[openpipe]
+# pipecat-ai[playht] # Mocked due to grpcio conflict with riva
+pipecat-ai[qwen]
+pipecat-ai[remote-smart-turn]
+# pipecat-ai[riva] # Mocked
+pipecat-ai[runner]
+pipecat-ai[sambanova]
+pipecat-ai[silero]
+pipecat-ai[simli]
+pipecat-ai[soundfile]
+pipecat-ai[soniox]
+pipecat-ai[speechmatics]
+pipecat-ai[tavus]
+pipecat-ai[together]
+# pipecat-ai[ultravox] # Mocked
+# pipecat-ai[webrtc] # Mocked
+pipecat-ai[websocket]
+pipecat-ai[whisper]

docs/architecture.md

@@ -0,0 +1,17 @@
+# Pipecat architecture guide
+
+## Frames
+
+Frames can represent discrete chunks of data, for instance a chunk of text, a chunk of audio, or an image. They can also be used to as control flow, for instance a frame that indicates that there is no more data available, or that a user started or stopped talking. They can also represent more complex data structures, such as a message array used for an LLM completion.
+
+## FrameProcessors
+
+Frame processors operate on frames. Every frame processor implements a `process_frame` method that consumes one frame and produces zero or more frames. Frame processors can do simple transforms, such as concatenating text fragments into sentences, or they can treat frames as input for an AI Service, and emit chat completions based on message arrays or transform text into audio or images.
+
+## Pipelines
+
+Pipelines are lists of frame processors linked together. Frame processors can push frames upstream or downstream to their peers. A very simple pipeline might chain an LLM frame processor to a text-to-speech frame processor, with a transport as an output.
+
+## Transports
+
+Transports provide input and output frame processors to receive or send frames respectively. For example, the `DailyTransport` does this with a WebRTC session joined to a Daily.co room.

docs/frame-progress.md

@@ -0,0 +1,46 @@
+# A Frame's Progress
+
+1. A user says “Hello, LLM” and the cloud transcription service delivers a transcription to the Transport.
+![A transcript frame arrives](images/frame-progress-01.png)
+
+2. The Transport places a Transcription frame in the Pipeline’s source queue.
+![Frame in source queue](images/frame-progress-02.png)
+
+3. The Pipeline passes the Transcription frame to the first Frame Processor in its list, the LLM User Message Aggregator.
+![To UMA](images/frame-progress-03.png)
+
+4. The LLM User Message Aggregator updates the LLM Context with a `{“user”: “Hello LLM”}` message.
+![Update context](images/frame-progress-04.png)
+
+5. The LLM User Message Aggregator yields an LLM Message Frame, containing the updated LLM Context. The Pipeline passes this frame to the LLM Frame Processor.
+![Update context](images/frame-progress-05.png)
+
+6. The LLM Frame Processor creates a streaming chat completion based on the LLM context and yields the first chunk of a response, Text Frame with the value “Hi, “. The Pipeline passes this frame to the TTS Frame Processor. The TTS Frame Processor aggregates this response but doesn’t yield anything, yet, because it’s waiting for a full sentence.
+![LLM yields Text](images/frame-progress-06.png)
+
+7. The LLM Frame Processor yields another Text Frame with the value “there.”. The Pipeline passes this frame to the TTS Frame Processor.
+![LLM yields more Text](images/frame-progress-07.png)
+
+8. The TTS Frame Processor now has a full sentence, so it starts streaming audio based on “Hi, there.” It yields the first chunk of streaming audio as an Audio frame, which the Pipeline passes to the LLM Assistant Message Aggregator.
+![TTS yields Audio](images/frame-progress-08.png)
+
+9. The LLM Assistant Message Aggregator doesn’t do anything with Audio frames, so it immediately yields the frame, unchanged. This is the convention for all Frame Processors: frames that the processor doesn’t process should be immediately yielded.
+![pass-through](images/frame-progress-09.png)
+
+10. The Pipeline places the first Audio frame in its sink queue, which is being watched by the Transport. Since the frame is now in a queue, the Pipeline can continue processing other frames. Note that the source and sink queues form a sort of “boundary of concurrent processing” between a Pipeline and the outside world. In a Pipeline, Frames are processed sequentially; once a Frame is on a queue it can be processed in parallel with the frames being processed by the Pipeline. TODO: link to a more in-depth section about this.
+![sink queue](images/frame-progress-10.png)
+
+11. The TTS Frame Processor yields another Audio frame as the Transport transmits the first Audio frame.
+![parallel audio](images/frame-progress-11.png)
+
+12. As before, the LLM Assistant Message Aggregator immediately yields the Audio frame and the Pipeline places the Audio frame in the sink queue.
+![sink queue 2](images/frame-progress-12.png)
+
+13. The TTS Frame Processor has no more frames to yield. The LLM Frame Processor emits an LLM Response End Frame, which the Pipeline passes to the TTS Frame Processor.
+![response end](images/frame-progress-13.png)
+
+14. The TTS Frame Processor immediately yields the LLM Response End Frame, so the Pipeline passes it along to the LLM Assistant Message Aggregator. The LLM Assistant Message Aggregator updates the LLM Context with the full response from the LLM. TODO TODO: I realized I forgot that the TSS Frame Processor also yields the Text frames that the LLM emitted so that the LLM Assistant Message Aggregator could accumulate them, arrggh.
+![response end](images/frame-progress-14.png)
+
+15. The system is quiet, and waiting for the next message from the Transport.
+![response end](images/frame-progress-15.png)

docs/frame.md

@@ -0,0 +1,110 @@
+# Understanding Different Frame Types in the Pipecat System
+
+In the Pipecat system, frames are used to represent different types of data and control signals that flow through the pipeline. Understanding these frame types is crucial for working with the system effectively. This tutorial will cover the main categories of frames and their specific uses.
+
+## 1. Base Frame Classes
+
+### Frame
+The `Frame` class is the base class for all frames. It includes:
+- `id`: A unique identifier
+- `name`: A descriptive name
+- `pts`: Presentation timestamp (optional)
+
+### DataFrame
+`DataFrame` is a subclass of `Frame` and serves as a base for most data-carrying frames.
+
+## 2. Audio Frames
+
+### AudioRawFrame
+Represents a chunk of audio with properties:
+- `audio`: Raw audio data
+- `sample_rate`: Audio sample rate
+- `num_channels`: Number of audio channels
+
+Subclasses include:
+- `InputAudioRawFrame`: For audio from input sources
+- `OutputAudioRawFrame`: For audio to be played by output devices
+- `TTSAudioRawFrame`: For audio generated by Text-to-Speech services
+
+## 3. Image Frames
+
+### ImageRawFrame
+Represents an image with properties:
+- `image`: Raw image data
+- `size`: Image dimensions
+- `format`: Image format (e.g., JPEG, PNG)
+
+Subclasses include:
+- `InputImageRawFrame`: For images from input sources
+- `OutputImageRawFrame`: For images to be displayed
+- `UserImageRawFrame`: For images associated with a specific user
+- `VisionImageRawFrame`: For images with associated text for description
+- `URLImageRawFrame`: For images with an associated URL
+
+### SpriteFrame
+Represents an animated sprite, containing a list of `ImageRawFrame` objects.
+
+## 4. Text and Transcription Frames
+
+### TextFrame
+Represents a chunk of text, used for various purposes in the pipeline.
+
+### TranscriptionFrame
+A specialized `TextFrame` for speech transcriptions, including:
+- `user_id`: ID of the speaking user
+- `timestamp`: When the transcription was generated
+- `language`: Detected language of the speech
+
+### InterimTranscriptionFrame
+Similar to `TranscriptionFrame`, but for interim (not final) transcriptions.
+
+## 5. LLM (Language Model) Frames
+
+### LLMMessagesFrame
+Contains a list of messages for an LLM service to process.
+
+### LLMMessagesAppendFrame and LLMMessagesUpdateFrame
+Used to modify the current context of LLM messages.
+
+### LLMSetToolsFrame
+Specifies tools (functions) available for the LLM to use.
+
+### LLMEnablePromptCachingFrame
+Controls prompt caching in certain LLMs.
+
+## 6. System and Control Frames
+
+### SystemFrame
+Base class for system-level frames.
+
+Important system frames include:
+- `StartFrame`: Initiates a pipeline
+- `CancelFrame`: Stops a pipeline immediately
+- `ErrorFrame`: Notifies of errors (with `FatalErrorFrame` for unrecoverable errors)
+- `EndTaskFrame` and `CancelTaskFrame`: Control pipeline tasks
+- `StartInterruptionFrame` and `StopInterruptionFrame`: Indicate user speech for interruptions
+
+### ControlFrame
+Base class for control-flow frames.
+
+Notable control frames:
+- `EndFrame`: Signals the end of a pipeline
+- `LLMFullResponseStartFrame` and `LLMFullResponseEndFrame`: Bracket LLM responses
+- `UserStartedSpeakingFrame` and `UserStoppedSpeakingFrame`: Indicate user speech activity
+- `BotStartedSpeakingFrame` and `BotStoppedSpeakingFrame`: Indicate bot speech activity
+- `TTSStartedFrame` and `TTSStoppedFrame`: Bracket Text-to-Speech responses
+
+## 7. Special Purpose Frames
+
+### MetricsFrame
+Contains performance metrics data.
+
+### FunctionCallInProgressFrame and FunctionCallResultFrame
+Used for handling LLM function (tool) calls.
+
+### ServiceUpdateSettingsFrame
+Base class for updating service settings, with specific subclasses for LLM, TTS, and STT services.
+
+## Conclusion
+
+Understanding these frame types is essential for working with the Pipecat system. Each frame type serves a specific purpose in the pipeline, whether it's carrying data (like audio or images), controlling the flow of the pipeline, or managing system-level operations. By using the appropriate frame types, you can effectively process and transmit various kinds of information through your pipeline.

dot-env.template

@@ -29,9 +29,6 @@ CARTESIA_API_KEY=...
 DAILY_API_KEY=...
 DAILY_SAMPLE_ROOM_URL=https://...
 
-# Deepgram
-DEEPGRAM_API_KEY=...
-
 # ElevenLabs
 ELEVENLABS_API_KEY=...
 ELEVENLABS_VOICE_ID=...
@@ -47,13 +44,6 @@ FIREWORKS_API_KEY=...
 
 # Gladia
 GLADIA_API_KEY=...
-GLADIA_REGION=...
-
-# Google
-GOOGLE_API_KEY=...
-GOOGLE_CLOUD_PROJECT_ID=...
-GOOGLE_TEST_CREDENTIALS=...
-GOOGLE_VERTEX_TEST_CREDENTIALS=...
 
 # LMNT
 LMNT_API_KEY=...
@@ -132,11 +122,9 @@ SONIOX_API_KEY=
 # Speechmatics
 SPEECHMATICS_API_KEY=...
 
+
 # SambaNova
 SAMBANOVA_API_KEY=...
 
 # Sentry
 SENTRY_DSN=...
-
-# Heygen
-HEYGEN_API_KEY=...

examples/client-server-web/README.md

@@ -0,0 +1,111 @@
+# Client Server Web Example
+
+Learn how to build web applications using Pipecat's client/server architecture. This approach separates your bot logic from your user interface, giving you full control over the client experience while maintaining real-time voice communication.
+
+This example demonstrates:
+
+- Server-side bot running with Pipecat
+- React client using [Pipecat's client SDK](https://docs.pipecat.ai/client/introduction)
+- Real-time voice communication between client and server
+- UI components from [voice-ui-kit](https://github.com/pipecat-ai/voice-ui-kit) for common voice interface patterns
+
+This is the recommended architecture for web applications that need custom interfaces or client-side functionality.
+
+## Prerequisites
+
+- Python 3.10+
+- `npm` installed
+- AI Service API keys for: [Deepgram](https://console.deepgram.com/signup), [OpenAI](https://auth.openai.com/create-account), and [Cartesia](https://play.cartesia.ai/sign-up)
+
+## Setup
+
+This example requires running both a server and client in **two separate terminal windows**.
+
+### Terminal 1: Server Setup
+
+1. Set up a virtual environment
+
+From the `examples/client-server-web` directory, run:
+
+```bash
+cd server
+python -m venv .venv
+source .venv/bin/activate  # On Windows: .venv\Scripts\activate
+```
+
+> Using `uv`? Create your venv using: `uv venv && source .venv/bin/activate`.
+
+2. Install dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+> Using `uv`? Install requirements using: `uv pip install -r requirements.txt`.
+
+3. Configure environment variables
+
+Create a `.env` file:
+
+```bash
+cp env.example .env
+```
+
+Then, add your API keys:
+
+```
+DEEPGRAM_API_KEY=your_deepgram_api_key
+OPENAI_API_KEY=your_openai_api_key
+CARTESIA_API_KEY=your_cartesia_api_key
+```
+
+4. Run the example
+
+Run your bot using:
+
+```bash
+python bot.py
+```
+
+> Using `uv`? Run your bot using: `uv run bot.py`.
+
+> 💡 First run note: The initial startup may take ~10 seconds as Pipecat downloads required models, like the Silero VAD model.
+
+### Terminal 2: Client Setup
+
+1. Open a new terminal window and navigate to the `client` folder:
+
+From the `examples/client-server-web` directory, run:
+
+```bash
+cd client
+```
+
+2. Install dependencies:
+
+```bash
+npm i
+```
+
+3. Run the client:
+
+```bash
+npm run dev
+```
+
+4. **Open http://localhost:5173 in your browser** and click `Connect` to start talking to your bot.
+
+> 💡 **Tip**: Check your server terminal for debug logs showing Pipecat's internal workings.
+
+## Troubleshooting
+
+- **Browser permissions**: Make sure to allow microphone access when prompted by your browser.
+- **Connection issues**: If the WebRTC connection fails, first try a different browser. If that fails, make sure you don't have a VPN or firewall rules blocking traffic. WebRTC uses UDP to communicate.
+- **Audio issues**: Check that your microphone and speakers are working and not muted.
+
+## Next Steps
+
+- **Explore the client SDK**: Learn more about [Pipecat's client SDKs](https://docs.pipecat.ai/client/introduction) for web, mobile, and other platforms
+- **Learn about the voice-ui-kit**: Explore [voice-ui-kit](https://github.com/pipecat-ai/voice-ui-kit) to simplify your front end development
+- **Advanced examples**: Check out [pipecat-examples](https://github.com/pipecat-ai/pipecat-examples) for more complex client/server applications
+- **Join Discord**: Connect with other developers on [Discord](https://discord.gg/pipecat)

examples/client-server-web/client/.gitignore

@@ -0,0 +1,24 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+dist
+dist-ssr
+*.local
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?

examples/client-server-web/client/index.html

@@ -0,0 +1,17 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+  <meta charset="UTF-8" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <title>Pipecat UI</title>
+  <link rel="icon" href="/favicon.svg" type="image/svg+xml">
+  <link rel="stylesheet" href="/src/style.css" />
+</head>
+
+<body>
+  <div id="root"></div>
+  <script type="module" src="/src/index.tsx"></script>
+</body>
+
+</html>

examples/client-server-web/client/package.json

@@ -0,0 +1,33 @@
+{
+  "name": "client",
+  "version": "1.0.0",
+  "main": "index.js",
+  "scripts": {
+    "dev": "node_modules/.bin/vite",
+    "build": "node_modules/.bin/tsc && vite build",
+    "preview": "node_modules/.bin/vite preview"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "description": "",
+  "devDependencies": {
+    "@types/node": "^22.14.0",
+    "@types/react": "^19.1.8",
+    "@types/react-dom": "^19.1.6",
+    "@vitejs/plugin-react-swc": "^3.8.1",
+    "typescript": "^5.8.3",
+    "vite": "^6.2.5"
+  },
+  "dependencies": {
+    "@fontsource-variable/geist": "^5.2.6",
+    "@fontsource-variable/geist-mono": "^5.2.6",
+    "@pipecat-ai/client-js": "^1.0.1",
+    "@pipecat-ai/client-react": "^1.0.1",
+    "@pipecat-ai/small-webrtc-transport": "^1.0.0",
+    "@pipecat-ai/daily-transport": "^1.0.0",
+    "@pipecat-ai/voice-ui-kit": "^0.1.0",
+    "react": "^19.1.0",
+    "react-dom": "^19.1.0"
+  }
+}

examples/client-server-web/client/public/favicon.svg

@@ -0,0 +1,7 @@
+<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M3.3088 5.05615C3.64682 4.92779 4.02833 5.02411 4.26653 5.29797L7.36884 8.86461H16.6312L19.7335 5.29797C19.9717 5.02411 20.3532 4.92779 20.6912 5.05615C21.0292 5.18452 21.253 5.51072 21.253 5.87504V13.75H24V15.5H19.5181V8.19909L17.6762 10.3167C17.5115 10.506 17.2738 10.6146 17.0241 10.6146H6.9759C6.72616 10.6146 6.48854 10.506 6.32383 10.3167L4.48193 8.19909V15.5H0V13.75H2.74699V5.87504C2.74699 5.51072 2.97078 5.18452 3.3088 5.05615Z" fill="black"/>
+<path d="M19.5181 17.25H24V19H19.5181V17.25Z" fill="black"/>
+<path d="M0 17.25H4.48193V19H0V17.25Z" fill="black"/>
+<path d="M9.25301 14.3333C9.25301 14.9777 8.73517 15.5 8.09639 15.5C7.4576 15.5 6.93976 14.9777 6.93976 14.3333C6.93976 13.689 7.4576 13.1667 8.09639 13.1667C8.73517 13.1667 9.25301 13.689 9.25301 14.3333Z" fill="black"/>
+<path d="M17.0602 14.3333C17.0602 14.9777 16.5424 15.5 15.9036 15.5C15.2648 15.5 14.747 14.9777 14.747 14.3333C14.747 13.689 15.2648 13.1667 15.9036 13.1667C16.5424 13.1667 17.0602 13.689 17.0602 14.3333Z" fill="black"/>
+</svg>

examples/client-server-web/client/public/pipecat-logo.svg

@@ -0,0 +1,7 @@
+<svg width="332" height="192" viewBox="0 0 332 192" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M45.7718 0.769635C50.4477 -0.990844 55.7252 0.330188 59.0204 4.08595L101.936 53H230.064L272.98 4.08595C276.275 0.330188 281.552 -0.990844 286.228 0.769635C290.904 2.53011 294 7.00367 294 12V120H332V144H270V43.8728L244.52 72.9141C242.242 75.5111 238.955 77 235.5 77H96.5C93.0452 77 89.7581 75.5111 87.4796 72.9141L62 43.8728V144H0V120H38V12C38 7.00367 41.0958 2.53011 45.7718 0.769635Z" fill="black"/>
+<path d="M270 168H332V192H270V168Z" fill="black"/>
+<path d="M0 168H62V192H0V168Z" fill="black"/>
+<path d="M128 128C128 136.837 120.837 144 112 144C103.163 144 96 136.837 96 128C96 119.164 103.163 112 112 112C120.837 112 128 119.164 128 128Z" fill="black"/>
+<path d="M236 128C236 136.837 228.837 144 220 144C211.163 144 204 136.837 204 128C204 119.164 211.163 112 220 112C228.837 112 236 119.164 236 128Z" fill="black"/>
+</svg>

examples/client-server-web/client/src/index.tsx

@@ -0,0 +1,28 @@
+import {
+  ConsoleTemplate,
+  FullScreenContainer,
+  ThemeProvider,
+} from '@pipecat-ai/voice-ui-kit';
+import { StrictMode } from 'react';
+import { createRoot } from 'react-dom/client';
+
+//@ts-ignore - fontsource-variable/geist is not typed
+import '@fontsource-variable/geist';
+//@ts-ignore - fontsource-variable/geist is not typed
+import '@fontsource-variable/geist-mono';
+
+createRoot(document.getElementById('root')!).render(
+  // @ts-ignore
+  <StrictMode>
+    <ThemeProvider>
+      <FullScreenContainer>
+        <ConsoleTemplate
+          transportType="smallwebrtc"
+          connectParams={{
+            connectionUrl: '/api/offer',
+          }}
+        />
+      </FullScreenContainer>
+    </ThemeProvider>
+  </StrictMode>
+);

examples/client-server-web/client/src/style.css

@@ -0,0 +1,7 @@
+@import "@pipecat-ai/voice-ui-kit/styles.css";
+
+html,
+body {
+  height: 100%;
+  margin: 0;
+}

examples/client-server-web/client/tsconfig.json

@@ -0,0 +1,27 @@
+{
+  "compilerOptions": {
+    "target": "ES2016",
+    "module": "ESNext",
+    "lib": ["ES2016", "DOM", "DOM.Iterable"],
+    "types": ["node"],
+    "skipLibCheck": true,
+    "jsx": "preserve",
+
+    /* Bundler mode */
+    "moduleResolution": "bundler",
+    "allowImportingTsExtensions": true,
+    "allowJs": true,
+    "noEmit": true,
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "moduleDetection": "force",
+    "esModuleInterop": true,
+
+    /* Linting */
+    "strict": true,
+    "noUnusedLocals": true,
+    "noUnusedParameters": false,
+    "noFallthroughCasesInSwitch": true
+  },
+  "include": ["src"]
+}

examples/client-server-web/client/vite.config.js

@@ -0,0 +1,18 @@
+import { defineConfig } from "vite";
+import react from "@vitejs/plugin-react-swc";
+
+export default defineConfig({
+  base: "./", //Use relative paths so it works at any mount path
+  plugins: [react()],
+  publicDir: "public",
+  server: {
+    allowedHosts: true, // Allows external connections like ngrok
+    proxy: {
+      // Proxy /api requests to the backend server
+      "/api": {
+        target: "http://0.0.0.0:7860", // Replace with your backend URL
+        changeOrigin: true,
+      },
+    },
+  },
+});

examples/client-server-web/server/bot.py

@@ -0,0 +1,127 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+"""Client-Server Web Example.
+
+This is the server-side bot implementation for the Pipecat client-server
+web example. It runs a simple voice AI bot that you can connect to using a
+web browser and speak with it.
+
+Required AI services:
+- Deepgram (Speech-to-Text)
+- OpenAI (LLM)
+- Cartesia (Text-to-Speech)
+
+The example connects between client and server using a P2P WebRTC connection.
+
+Run the bot using::
+
+    python bot.py
+"""
+
+import os
+
+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.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
+from pipecat.runner.types import RunnerArguments
+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.small_webrtc import SmallWebRTCTransport
+
+load_dotenv(override=True)
+
+
+async def run_bot(transport: BaseTransport):
+    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 friendly AI assistant. Respond naturally and keep your answers conversational.",
+        },
+    ]
+
+    context = OpenAILLMContext(messages)
+    context_aggregator = llm.create_context_aggregator(context)
+
+    rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
+
+    pipeline = Pipeline(
+        [
+            transport.input(),  # Transport user input
+            rtvi,  # RTVI processor
+            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,
+        ),
+        observers=[RTVIObserver(rtvi)],
+    )
+
+    @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": "Say hello and briefly introduce yourself."})
+        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=False)
+
+    await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point for the bot starter."""
+
+    transport = SmallWebRTCTransport(
+        params=TransportParams(
+            audio_in_enabled=True,
+            audio_out_enabled=True,
+            vad_analyzer=SileroVADAnalyzer(),
+        ),
+        webrtc_connection=runner_args.webrtc_connection,
+    )
+
+    await run_bot(transport)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()

examples/client-server-web/server/env.example

@@ -0,0 +1,3 @@
+DEEPGRAM_API_KEY=your_deepgram_api_key
+OPENAI_API_KEY=your_openai_api_key
+CARTESIA_API_KEY=your_cartesia_api_key

examples/client-server-web/server/requirements.txt

@@ -0,0 +1 @@
+pipecat-ai[webrtc,silero,deepgram,openai,cartesia,runner]

examples/foundational/01-say-one-thing-piper.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 import aiohttp
@@ -14,8 +15,6 @@ from pipecat.frames.frames import EndFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
-from pipecat.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
@@ -34,7 +33,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     # Create an HTTP session
@@ -43,28 +42,19 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             base_url=os.getenv("PIPER_BASE_URL"), aiohttp_session=session, sample_rate=24000
         )
 
-        task = PipelineTask(
-            Pipeline([tts, transport.output()]),
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
-        )
+        task = PipelineTask(Pipeline([tts, transport.output()]))
 
         # Register an event handler so we can play the audio when the client joins
         @transport.event_handler("on_client_connected")
         async def on_client_connected(transport, client):
             await task.queue_frames([TTSSpeakFrame(f"Hello there!"), EndFrame()])
 
-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/01-say-one-thing-rime.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 import aiohttp
@@ -14,8 +15,6 @@ from pipecat.frames.frames import EndFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
-from pipecat.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
@@ -33,7 +32,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     # Create an HTTP session
@@ -44,28 +43,19 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             aiohttp_session=session,
         )
 
-        task = PipelineTask(
-            Pipeline([tts, transport.output()]),
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
-        )
+        task = PipelineTask(Pipeline([tts, transport.output()]))
 
         # Register an event handler so we can play the audio when the client joins
         @transport.event_handler("on_client_connected")
         async def on_client_connected(transport, client):
             await task.queue_frames([TTSSpeakFrame(f"Hello there!"), EndFrame()])
 
-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/01-say-one-thing.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -13,8 +14,6 @@ from pipecat.frames.frames import EndFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
-from pipecat.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
@@ -33,7 +32,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     tts = CartesiaTTSService(
@@ -41,28 +40,19 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
     )
 
-    task = PipelineTask(
-        Pipeline([tts, transport.output()]),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
-    )
+    task = PipelineTask(Pipeline([tts, transport.output()]))
 
     # Register an event handler so we can play the audio when the client joins
     @transport.event_handler("on_client_connected")
     async def on_client_connected(transport, client):
         await task.queue_frames([TTSSpeakFrame(f"Hello there!"), EndFrame()])
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/01b-livekit-audio.py

@@ -4,18 +4,20 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import asyncio
 import os
 import sys
 
+import aiohttp
 from dotenv import load_dotenv
+from livekit import api
 from loguru import logger
 
 from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 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
 
@@ -25,8 +27,57 @@ logger.remove(0)
 logger.add(sys.stderr, level="DEBUG")
 
 
+def generate_token(room_name: str, participant_name: str, api_key: str, api_secret: str) -> str:
+    token = api.AccessToken(api_key, api_secret)
+    token.with_identity(participant_name).with_name(participant_name).with_grants(
+        api.VideoGrants(
+            room_join=True,
+            room=room_name,
+        )
+    )
+
+    return token.to_jwt()
+
+
+async def configure_livekit():
+    parser = argparse.ArgumentParser(description="LiveKit AI SDK Bot Sample")
+    parser.add_argument(
+        "-r", "--room", type=str, required=False, help="Name of the LiveKit room to join"
+    )
+    parser.add_argument("-u", "--url", type=str, required=False, help="URL of the LiveKit server")
+
+    args, unknown = parser.parse_known_args()
+
+    room_name = args.room or os.getenv("LIVEKIT_ROOM_NAME")
+    url = args.url or os.getenv("LIVEKIT_URL")
+    api_key = os.getenv("LIVEKIT_API_KEY")
+    api_secret = os.getenv("LIVEKIT_API_SECRET")
+
+    if not room_name:
+        raise Exception(
+            "No LiveKit room specified. Use the -r/--room option from the command line, or set LIVEKIT_ROOM_NAME in your environment."
+        )
+
+    if not url:
+        raise Exception(
+            "No LiveKit server URL specified. Use the -u/--url option from the command line, or set LIVEKIT_URL in your environment."
+        )
+
+    if not api_key or not api_secret:
+        raise Exception(
+            "LIVEKIT_API_KEY and LIVEKIT_API_SECRET must be set in environment variables."
+        )
+
+    token = generate_token(room_name, "Say One Thing", api_key, api_secret)
+
+    user_token = generate_token(room_name, "User", api_key, api_secret)
+    logger.info(f"User token: {user_token}")
+
+    return (url, token, room_name)
+
+
 async def main():
-    (url, token, room_name) = await configure()
+    (url, token, room_name) = await configure_livekit()
 
     transport = LiveKitTransport(
         url=url,

examples/foundational/01c-fastpitch.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -13,8 +14,6 @@ from pipecat.frames.frames import EndFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
-from pipecat.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
@@ -33,33 +32,24 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     tts = FastPitchTTSService(api_key=os.getenv("NVIDIA_API_KEY"))
 
-    task = PipelineTask(
-        Pipeline([tts, transport.output()]),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
-    )
+    task = PipelineTask(Pipeline([tts, transport.output()]))
 
     # Register an event handler so we can play the audio when the client joins
     @transport.event_handler("on_client_connected")
     async def on_client_connected(transport, client):
         await task.queue_frames([TTSSpeakFrame(f"Hello there!"), EndFrame()])
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/02-llm-say-one-thing.py

@@ -4,21 +4,16 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.frames.frames import EndFrame
+from pipecat.frames.frames import EndFrame, LLMMessagesFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
-from pipecat.processors.aggregators.openai_llm_context import (
-    OpenAILLMContext,
-    OpenAILLMContextFrame,
-)
-from pipecat.runner.types import RunnerArguments
-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
@@ -38,7 +33,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     tts = CartesiaTTSService(
@@ -55,28 +50,19 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         }
     ]
 
-    task = PipelineTask(
-        Pipeline([llm, tts, transport.output()]),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
-    )
+    task = PipelineTask(Pipeline([llm, tts, transport.output()]))
 
     # Register an event handler so we can play the audio when the client joins
     @transport.event_handler("on_client_connected")
     async def on_client_connected(transport, client):
-        await task.queue_frames([OpenAILLMContextFrame(OpenAILLMContext(messages)), EndFrame()])
+        await task.queue_frames([LLMMessagesFrame(messages), EndFrame()])
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/03-still-frame.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 import aiohttp
@@ -14,8 +15,6 @@ from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
-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
@@ -40,7 +39,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     # Create an HTTP session
@@ -51,10 +50,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             key=os.getenv("FAL_KEY"),
         )
 
-        task = PipelineTask(
-            Pipeline([imagegen, transport.output()]),
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
-        )
+        task = PipelineTask(Pipeline([imagegen, transport.output()]))
 
         # Register an event handler so we can play the audio when the client joins
         @transport.event_handler("on_client_connected")
@@ -66,18 +62,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             logger.info(f"Client disconnected")
             await task.cancel()
 
-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/03b-still-frame-imagen.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -13,8 +14,6 @@ from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
-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
@@ -39,7 +38,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     imagegen = GoogleImageGenService(
@@ -52,7 +51,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     # Register an event handler so we can play the audio when the client joins
@@ -67,18 +65,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/04a-transports-daily.py

@@ -13,11 +13,11 @@ from dotenv import load_dotenv
 from loguru import logger
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.examples.daily_runner import configure
 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.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

examples/foundational/04b-transports-livekit.py

@@ -4,12 +4,15 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import asyncio
 import json
 import os
 import sys
 
+from deepgram import LiveOptions
 from dotenv import load_dotenv
+from livekit import api
 from loguru import logger
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -24,7 +27,6 @@ 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.livekit import configure
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -36,8 +38,72 @@ logger.remove(0)
 logger.add(sys.stderr, level="DEBUG")
 
 
+def generate_token(room_name: str, participant_name: str, api_key: str, api_secret: str) -> str:
+    token = api.AccessToken(api_key, api_secret)
+    token.with_identity(participant_name).with_name(participant_name).with_grants(
+        api.VideoGrants(
+            room_join=True,
+            room=room_name,
+        )
+    )
+
+    return token.to_jwt()
+
+
+def generate_token_with_agent(
+    room_name: str, participant_name: str, api_key: str, api_secret: str
+) -> str:
+    token = api.AccessToken(api_key, api_secret)
+    token.with_identity(participant_name).with_name(participant_name).with_grants(
+        api.VideoGrants(
+            room_join=True,
+            room=room_name,
+            agent=True,  # This is the only difference, this makes livekit client know agent has joined
+        )
+    )
+
+    return token.to_jwt()
+
+
+async def configure_livekit():
+    parser = argparse.ArgumentParser(description="LiveKit AI SDK Bot Sample")
+    parser.add_argument(
+        "-r", "--room", type=str, required=False, help="Name of the LiveKit room to join"
+    )
+    parser.add_argument("-u", "--url", type=str, required=False, help="URL of the LiveKit server")
+
+    args, unknown = parser.parse_known_args()
+
+    room_name = args.room or os.getenv("LIVEKIT_ROOM_NAME")
+    url = args.url or os.getenv("LIVEKIT_URL")
+    api_key = os.getenv("LIVEKIT_API_KEY")
+    api_secret = os.getenv("LIVEKIT_API_SECRET")
+
+    if not room_name:
+        raise Exception(
+            "No LiveKit room specified. Use the -r/--room option from the command line, or set LIVEKIT_ROOM_NAME in your environment."
+        )
+
+    if not url:
+        raise Exception(
+            "No LiveKit server URL specified. Use the -u/--url option from the command line, or set LIVEKIT_URL in your environment."
+        )
+
+    if not api_key or not api_secret:
+        raise Exception(
+            "LIVEKIT_API_KEY and LIVEKIT_API_SECRET must be set in environment variables."
+        )
+
+    token = generate_token_with_agent(room_name, "Say One Thing", api_key, api_secret)
+
+    user_token = generate_token(room_name, "User", api_key, api_secret)
+    logger.info(f"User token: {user_token}")
+
+    return url, token, room_name
+
+
 async def main():
-    (url, token, room_name) = await configure()
+    (url, token, room_name) = await configure_livekit()
 
     transport = LiveKitTransport(
         url=url,
@@ -50,7 +116,12 @@ async def main():
         ),
     )
 
-    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
+    stt = DeepgramSTTService(
+        api_key=os.getenv("DEEPGRAM_API_KEY"),
+        live_options=LiveOptions(
+            vad_events=True,
+        ),
+    )
 
     llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
 
@@ -72,20 +143,20 @@ async def main():
     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
-        ]
-    )
+    runner = PipelineRunner()
 
     task = PipelineTask(
-        pipeline,
+        Pipeline(
+            [
+                transport.input(),
+                stt,
+                context_aggregator.user(),
+                llm,
+                tts,
+                transport.output(),
+                context_aggregator.assistant(),
+            ],
+        ),
         params=PipelineParams(
             enable_metrics=True,
             enable_usage_metrics=True,
@@ -126,8 +197,6 @@ async def main():
             ],
         )
 
-    runner = PipelineRunner()
-
     await runner.run(task)
 
 

examples/foundational/05-sync-speech-and-image.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 from dataclasses import dataclass
 
@@ -15,20 +16,15 @@ from pipecat.frames.frames import (
     DataFrame,
     Frame,
     LLMFullResponseStartFrame,
+    LLMMessagesFrame,
     TextFrame,
 )
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.sync_parallel_pipeline import SyncParallelPipeline
 from pipecat.pipeline.task import PipelineTask
-from pipecat.processors.aggregators.openai_llm_context import (
-    OpenAILLMContext,
-    OpenAILLMContextFrame,
-)
 from pipecat.processors.aggregators.sentence import SentenceAggregator
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-from pipecat.runner.types import RunnerArguments
-from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.tts import CartesiaHttpTTSService
 from pipecat.services.fal.image import FalImageGenService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -86,7 +82,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     """Run the Calendar Month Narration bot using WebRTC transport.
 
     Args:
@@ -156,12 +152,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 }
             ]
             frames.append(MonthFrame(month=month))
-            frames.append(OpenAILLMContextFrame(OpenAILLMContext(messages)))
+            frames.append(LLMMessagesFrame(messages))
 
-        task = PipelineTask(
-            pipeline,
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
-        )
+        task = PipelineTask(pipeline)
 
         # Set up transport event handlers
         @transport.event_handler("on_client_connected")
@@ -176,17 +169,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             await task.cancel()
 
         # Run the pipeline
-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/05a-local-sync-speech-and-image.py

@@ -15,6 +15,7 @@ from loguru import logger
 
 from pipecat.frames.frames import (
     Frame,
+    LLMMessagesFrame,
     OutputAudioRawFrame,
     TextFrame,
     TTSAudioRawFrame,
@@ -24,10 +25,6 @@ from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.sync_parallel_pipeline import SyncParallelPipeline
 from pipecat.pipeline.task import PipelineTask
-from pipecat.processors.aggregators.openai_llm_context import (
-    OpenAILLMContext,
-    OpenAILLMContextFrame,
-)
 from pipecat.processors.aggregators.sentence import SentenceAggregator
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.services.cartesia.tts import CartesiaHttpTTSService
@@ -140,7 +137,7 @@ async def main():
             )
 
             task = PipelineTask(pipeline)
-            await task.queue_frame(OpenAILLMContextFrame(OpenAILLMContext(messages)))
+            await task.queue_frame(LLMMessagesFrame(messages))
             await task.stop_when_done()
 
             await runner.run(task)

examples/foundational/06-listen-and-respond.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -22,8 +23,6 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-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
@@ -76,7 +75,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -119,7 +118,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -134,17 +132,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/06a-image-sync.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -22,8 +23,6 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-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
@@ -91,7 +90,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -137,7 +136,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -151,17 +149,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07-interruptible-cartesia-http.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -14,8 +15,6 @@ 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.cartesia.tts import CartesiaHttpTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -48,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -88,7 +87,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -103,18 +101,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07-interruptible.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -14,8 +15,6 @@ 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.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -47,7 +46,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -87,7 +86,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -102,18 +100,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07a-interruptible-speechmatics-vad.py

@@ -1,178 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import os
-
-from dotenv import load_dotenv
-from loguru import logger
-
-from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.runner import PipelineRunner
-from pipecat.pipeline.task import PipelineParams, PipelineTask
-from pipecat.processors.aggregators.llm_response import (
-    LLMUserAggregatorParams,
-)
-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.elevenlabs.tts import ElevenLabsTTSService
-from pipecat.services.openai.base_llm import BaseOpenAILLMService
-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
-
-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,
-    ),
-    "twilio": lambda: FastAPIWebsocketParams(
-        audio_in_enabled=True,
-        audio_out_enabled=True,
-    ),
-    "webrtc": lambda: TransportParams(
-        audio_in_enabled=True,
-        audio_out_enabled=True,
-    ),
-}
-
-
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
-    """Speechmatics STT Service Example
-
-    This example demonstrates using Speechmatics Speech-to-Text service with speaker diarization and intelligent speaker management. Key features:
-
-    1. Speaker Diarization
-       - Automatically identifies and distinguishes between different speakers
-       - First speaker is identified as 'S1', others get subsequent IDs
-       - Uses `enable_diarization` parameter to manage speaker detection
-
-    2. Smart Speaker Control
-       - `focus_speakers` parameter lets you target specific speakers (e.g. ["S1"])
-       - Other speakers will be wrapped in PASSIVE tags
-       - Only processes speech from focused speakers
-       - Words from all speakers are wrapped with XML tags for clear speaker identification
-       - Other speakers' speech only sent when focused speaker is active
-
-    3. Voice Activity Detection
-       - Built-in VAD using `enable_vad` parameter
-       - Remove `vad_analyzer` from `transport` config to use module's VAD
-       - Emits speaker started/stopped events
-
-    4. Configuration Options
-       - `operating_point` parameter defaults to `ENHANCED` for optimal accuracy
-       - Configurable `end_of_utterance_silence_trigger` (default 0.5s)
-       - Customizable speaker formatting
-       - Additional diarization settings available
-
-    For detailed information about operating points and configuration:
-    https://docs.speechmatics.com/rt-api-ref
-    """
-
-    logger.info(f"Starting bot")
-
-    stt = SpeechmaticsSTTService(
-        api_key=os.getenv("SPEECHMATICS_API_KEY"),
-        params=SpeechmaticsSTTService.InputParams(
-            language=Language.EN,
-            enable_vad=True,
-            enable_diarization=True,
-            focus_speakers=["S1"],
-            end_of_utterance_silence_trigger=0.5,
-            speaker_active_format="<{speaker_id}>{text}</{speaker_id}>",
-            speaker_passive_format="<PASSIVE><{speaker_id}>{text}</{speaker_id}></PASSIVE>",
-        ),
-    )
-
-    tts = ElevenLabsTTSService(
-        api_key=os.getenv("ELEVENLABS_API_KEY"),
-        voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
-        model="eleven_turbo_v2_5",
-    )
-
-    llm = OpenAILLMService(
-        api_key=os.getenv("OPENAI_API_KEY"),
-        params=BaseOpenAILLMService.InputParams(temperature=0.75),
-    )
-
-    messages = [
-        {
-            "role": "system",
-            "content": (
-                "You are a helpful British assistant called Alfred. "
-                "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. "
-                "Always include punctuation in your responses. "
-                "Give very short replies - do not give longer replies unless strictly necessary. "
-                "Respond to what the user said in a concise, funny, creative and helpful way. "
-                "Use `<Sn/>` tags to identify different speakers - do not use tags in your replies. "
-                "Do not respond to speakers within `<PASSIVE/>` tags unless explicitly asked to. "
-            ),
-        },
-    ]
-
-    context = OpenAILLMContext(messages)
-    context_aggregator = llm.create_context_aggregator(
-        context,
-        user_params=LLMUserAggregatorParams(aggregation_timeout=0.005),
-    )
-
-    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": "Say a short hello 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()

examples/foundational/07a-interruptible-speechmatics.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -17,8 +18,6 @@ from pipecat.processors.aggregators.llm_response import (
     LLMUserAggregatorParams,
 )
 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.elevenlabs.tts import ElevenLabsTTSService
 from pipecat.services.openai.base_llm import BaseOpenAILLMService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -52,7 +51,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     """Run example using Speechmatics STT.
 
     This example will use diarization within our STT service and output the words spoken by
@@ -60,6 +59,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     instructions in the system context for the LLM. This greatly improves the conversation
     experience by allowing the LLM to understand who is speaking in a multi-party call.
 
+    If you do not wish to use diarization, then set the `enable_speaker_diarization` parameter
+    to `False` or omit it altogether. The `text_format` will only be used if diarization is enabled.
+
     By default, this example will use our ENHANCED operating point, which is optimized for
     high accuracy. You can change this by setting the `operating_point` parameter to a different
     value.
@@ -71,17 +73,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = SpeechmaticsSTTService(
         api_key=os.getenv("SPEECHMATICS_API_KEY"),
-        params=SpeechmaticsSTTService.InputParams(
-            language=Language.EN,
-            enable_diarization=True,
-            end_of_utterance_silence_trigger=0.5,
-            speaker_active_format="<{speaker_id}>{text}</{speaker_id}>",
-        ),
+        language=Language.EN,
+        enable_speaker_diarization=True,
+        text_format="<{speaker_id}>{text}</{speaker_id}>",
     )
 
     tts = ElevenLabsTTSService(
-        api_key=os.getenv("ELEVENLABS_API_KEY"),
-        voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
+        api_key=os.getenv("ELEVENLABS_API_KEY", ""),
+        voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""),
         model="eleven_turbo_v2_5",
     )
 
@@ -129,7 +128,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -144,18 +142,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07aa-interruptible-soniox.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.cartesia.tts import CartesiaTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.soniox.stt import SonioxSTTService
@@ -45,7 +43,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = SonioxSTTService(
@@ -86,7 +84,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -101,18 +98,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07ab-interruptible-inworld-http.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 import aiohttp
@@ -16,8 +16,6 @@ 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.inworld.tts import InworldTTSService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     # Create an HTTP session
@@ -101,7 +99,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 enable_metrics=True,
                 enable_usage_metrics=True,
             ),
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
         )
 
         @transport.event_handler("on_client_connected")
@@ -116,18 +113,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             logger.info(f"Client disconnected")
             await task.cancel()
 
-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07ac-interruptible-asyncai-http.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 import aiohttp
@@ -16,8 +16,6 @@ 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.asyncai.tts import AsyncAIHttpTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -50,7 +48,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     # Create an HTTP session
@@ -93,7 +91,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 enable_metrics=True,
                 enable_usage_metrics=True,
             ),
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
         )
 
         @transport.event_handler("on_client_connected")
@@ -108,18 +105,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             logger.info(f"Client disconnected")
             await task.cancel()
 
-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07ac-interruptible-asyncai.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.asyncai.tts import AsyncAITTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -89,7 +87,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -104,18 +101,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07b-interruptible-langchain.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -16,20 +16,15 @@ from langchain_openai import ChatOpenAI
 from loguru import logger
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import LLMMessagesUpdateFrame
+from pipecat.frames.frames import LLMMessagesFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.llm_response import (
-    LLMAssistantContextAggregator,
-    LLMUserContextAggregator,
-)
-from pipecat.processors.aggregators.openai_llm_context import (
-    OpenAILLMContext,
+    LLMAssistantResponseAggregator,
+    LLMUserResponseAggregator,
 )
 from pipecat.processors.frameworks.langchain import LangchainProcessor
-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.transports.base_transport import BaseTransport, TransportParams
@@ -70,7 +65,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -100,9 +95,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     )
     lc = LangchainProcessor(history_chain)
 
-    context = OpenAILLMContext()
-    tma_in = LLMUserContextAggregator(context=context)
-    tma_out = LLMAssistantContextAggregator(context=context)
+    tma_in = LLMUserResponseAggregator()
+    tma_out = LLMAssistantResponseAggregator()
 
     pipeline = Pipeline(
         [
@@ -122,36 +116,29 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             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.
-        # An `OpenAILLMContextFrame` will be picked up by the LangchainProcessor using
+        # the `LLMMessagesFrame` will be picked up by the LangchainProcessor using
         # only the content of the last message to inject it in the prompt defined
         # above. So no role is required here.
         messages = [({"content": "Please briefly introduce yourself to the user."})]
-        await task.queue_frames([LLMMessagesUpdateFrame(messages, run_llm=True)])
+        await task.queue_frames([LLMMessagesFrame(messages)])
 
     @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=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07c-interruptible-deepgram-vad.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from deepgram import LiveOptions
@@ -21,8 +21,6 @@ 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.deepgram.tts import DeepgramTTSService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -52,7 +50,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(
@@ -92,7 +90,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @stt.event_handler("on_speech_started")
@@ -115,18 +112,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07c-interruptible-deepgram.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.deepgram.tts import DeepgramTTSService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -86,7 +84,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -101,18 +98,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07d-interruptible-elevenlabs-http.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 import aiohttp
@@ -16,8 +16,6 @@ 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.elevenlabs.tts import ElevenLabsHttpTTSService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -50,7 +48,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     # Create an HTTP session
@@ -93,7 +91,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 enable_metrics=True,
                 enable_usage_metrics=True,
             ),
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
         )
 
         @transport.event_handler("on_client_connected")
@@ -108,18 +105,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             logger.info(f"Client disconnected")
             await task.cancel()
 
-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07d-interruptible-elevenlabs.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.elevenlabs.tts import ElevenLabsTTSService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -89,7 +87,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -104,18 +101,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07e-interruptible-playht-http.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.playht.tts import PlayHTHttpTTSService
@@ -48,7 +46,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -89,7 +87,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -104,18 +101,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07e-interruptible-playht.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.playht.tts import PlayHTTTSService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -91,7 +89,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -106,18 +103,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07f-interruptible-azure.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.azure.llm import AzureLLMService
 from pipecat.services.azure.stt import AzureSTTService
 from pipecat.services.azure.tts import AzureTTSService
@@ -48,7 +46,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = AzureSTTService(
@@ -95,7 +93,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -110,18 +107,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07g-interruptible-openai.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.openai.llm import OpenAILLMService
 from pipecat.services.openai.stt import OpenAISTTService
 from pipecat.services.openai.tts import OpenAITTSService
@@ -48,7 +46,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = OpenAISTTService(
@@ -90,7 +88,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -105,18 +102,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07h-interruptible-openpipe.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 import time
 
@@ -16,8 +16,6 @@ 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.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openpipe.llm import OpenPipeLLMService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -94,7 +92,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -109,18 +106,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07i-interruptible-xtts.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 import aiohttp
@@ -16,8 +16,6 @@ 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.xtts.tts import XTTSService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     # Create an HTTP session
@@ -92,7 +90,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 enable_metrics=True,
                 enable_usage_metrics=True,
             ),
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
         )
 
         @transport.event_handler("on_client_connected")
@@ -107,18 +104,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             logger.info(f"Client disconnected")
             await task.cancel()
 
-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07j-interruptible-gladia.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.cartesia.tts import CartesiaTTSService
 from pipecat.services.gladia.config import GladiaInputParams, LanguageConfig
 from pipecat.services.gladia.stt import GladiaSTTService
@@ -50,12 +48,11 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = GladiaSTTService(
         api_key=os.getenv("GLADIA_API_KEY", ""),
-        region=os.getenv("GLADIA_REGION"),
         params=GladiaInputParams(
             language_config=LanguageConfig(
                 languages=[Language.EN],
@@ -98,7 +95,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -113,17 +109,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07k-interruptible-lmnt.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.lmnt.tts import LmntTTSService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -48,7 +46,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -85,7 +83,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -100,18 +97,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07l-interruptible-groq.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -16,8 +16,6 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.llm_response import LLMUserAggregatorParams
 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.groq.llm import GroqLLMService
 from pipecat.services.groq.stt import GroqSTTService
 from pipecat.services.groq.tts import GroqTTSService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = GroqSTTService(api_key=os.getenv("GROQ_API_KEY"))
@@ -90,7 +88,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -105,18 +102,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07m-interruptible-aws.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import argparse
 
 from dotenv import load_dotenv
 from loguru import logger
@@ -13,8 +14,6 @@ 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.aws.llm import AWSBedrockLLMService
 from pipecat.services.aws.stt import AWSTranscribeSTTService
 from pipecat.services.aws.tts import AWSPollyTTSService
@@ -46,7 +45,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = AWSTranscribeSTTService()
@@ -91,7 +90,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -106,18 +104,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07n-interruptible-gemini.py

@@ -1,163 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-"""
-A conversational AI bot using Gemini for both LLM and TTS.
-
-This example demonstrates how to use Gemini's TTS capabilities with the new
-GeminiTTSService, which uses Gemini's TTS-specific models instead of Google Cloud TTS.
-
-Features showcased:
-- Gemini LLM for conversation
-- Gemini TTS with natural voice control
-- Support for different voice personalities
-- Style and tone control through natural language prompts
-
-Run with:
-    python examples/foundational/gemini-tts.py
-
-Make sure to set your environment variables:
-    export GOOGLE_API_KEY=your_api_key_here
-"""
-
-import os
-
-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.google.llm import GoogleLLMService
-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
-
-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 with Gemini TTS")
-
-    stt = GoogleSTTService(
-        params=GoogleSTTService.InputParams(languages=Language.EN_US),
-        credentials=os.getenv("GOOGLE_TEST_CREDENTIALS"),
-    )
-
-    tts = GeminiTTSService(
-        api_key=os.getenv("GOOGLE_API_KEY"),
-        model="gemini-2.5-flash-preview-tts",  # TTS-specific model
-        voice_id="Charon",
-        params=GeminiTTSService.InputParams(language=Language.EN_US),
-    )
-
-    llm = GoogleLLMService(
-        api_key=os.getenv("GOOGLE_API_KEY"),
-        model="gemini-2.5-flash",
-    )
-
-    # System message that instructs the AI on how to speak
-    messages = [
-        {
-            "role": "system",
-            "content": """You are a helpful AI assistant in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way.
-
-            IMPORTANT: Since you're using Gemini TTS which supports natural voice control, you can include speaking instructions in your responses. For example:
-            - "Say cheerfully: Welcome to our conversation!"
-            - "Read this in a calm, professional tone: Here are the details you requested."
-            - "Speak in an excited whisper: I have some great news to share!"
-            - "Say slowly and clearly: Let me explain this step by step."
-
-            Feel free to use natural language instructions to control your voice style, tone, pace, and emotion. The TTS system will interpret these instructions and adjust the speech accordingly.
-
-            Your output will be converted to audio, so avoid 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,  # Gemini 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 with a styled introduction
-        messages.append(
-            {
-                "role": "system",
-                "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()])
-
-    @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()

examples/foundational/07n-interruptible-google.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.google.llm import GoogleLLMService
 from pipecat.services.google.stt import GoogleSTTService
 from pipecat.services.google.tts import GoogleTTSService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = GoogleSTTService(
@@ -98,7 +96,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -113,18 +110,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07o-interruptible-assemblyai.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.assemblyai.stt import AssemblyAISTTService
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = AssemblyAISTTService(
@@ -91,7 +89,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -106,18 +103,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07p-interruptible-krisp.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -16,8 +16,6 @@ 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.deepgram.tts import DeepgramTTSService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -52,7 +50,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -89,7 +87,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -104,18 +101,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07q-interruptible-rime-http.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 import aiohttp
@@ -16,8 +16,6 @@ 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.rime.tts import RimeHttpTTSService
@@ -50,7 +48,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     # Create an HTTP session
@@ -94,7 +92,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 enable_metrics=True,
                 enable_usage_metrics=True,
             ),
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
         )
 
         @transport.event_handler("on_client_connected")
@@ -109,18 +106,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             logger.info(f"Client disconnected")
             await task.cancel()
 
-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07q-interruptible-rime.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.rime.tts import RimeTTSService
@@ -48,7 +46,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -88,7 +86,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -103,18 +100,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07r-interruptible-riva-nim.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.nim.llm import NimLLMService
 from pipecat.services.riva.stt import RivaSTTService
 from pipecat.services.riva.tts import RivaTTSService
@@ -48,7 +46,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = RivaSTTService(api_key=os.getenv("NVIDIA_API_KEY"))
@@ -85,7 +83,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -100,18 +97,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07s-interruptible-google-audio-in.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 from dataclasses import dataclass
 
@@ -29,8 +29,6 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.processors.frame_processor import FrameProcessor
-from pipecat.runner.types import RunnerArguments
-from pipecat.runner.utils import create_transport
 from pipecat.services.google.llm import GoogleLLMService
 from pipecat.services.google.tts import GoogleTTSService
 from pipecat.transcriptions.language import Language
@@ -213,7 +211,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     llm = GoogleLLMService(
@@ -266,7 +264,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -281,18 +278,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07t-interruptible-fish.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -15,8 +15,6 @@ 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.fish.tts import FishAudioTTSService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -49,7 +47,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -89,7 +87,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -104,18 +101,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07u-interruptible-ultravox.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 from dotenv import load_dotenv
@@ -14,8 +14,6 @@ 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.runner.types import RunnerArguments
-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
@@ -59,7 +57,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     tts = CartesiaTTSService(
@@ -82,7 +80,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_metrics=True,
             enable_usage_metrics=True,
         ),
-        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
 
     @transport.event_handler("on_client_connected")
@@ -94,18 +91,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)

examples/foundational/07v-interruptible-neuphonic-http.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-
+import argparse
 import os
 
 import aiohttp
@@ -16,8 +16,6 @@ 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.neuphonic.tts import NeuphonicHttpTTSService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -50,7 +48,7 @@ transport_params = {
 }
 
 
-async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
     logger.info(f"Starting bot")
 
     # Create an HTTP session
@@ -93,7 +91,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 enable_metrics=True,
                 enable_usage_metrics=True,
             ),
-            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
         )
 
         @transport.event_handler("on_client_connected")
@@ -108,18 +105,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             logger.info(f"Client disconnected")
             await task.cancel()
 
-        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+        runner = PipelineRunner(handle_sigint=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
+    from pipecat.examples.run import main
 
-    main()
+    main(run_example, transport_params=transport_params)