working on a fastapi http transport

2024-09-17 09:52:19 -07:00
990 changed files with 17728 additions and 124661 deletions
--- a/.github/ISSUE_TEMPLATE/1-bug_report.yml
+++ b/.github/ISSUE_TEMPLATE/1-bug_report.yml
@@ -1,87 +0,0 @@
-name: Bug report
-description: Report a bug or unexpected behavior
-type: Bug
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## Bug Report
-
-        Thank you for taking the time to fill out this bug report.
-
-  - type: markdown
-    attributes:
-      value: |
-        ### Environment
-
-  - type: input
-    id: pipecat-version
-    attributes:
-      label: pipecat version
-      description: Which version are you using?
-      placeholder: e.g., 0.0.63
-    validations:
-      required: true
-
-  - type: input
-    id: python-version
-    attributes:
-      label: Python version
-      description: Which Python version are you using?
-      placeholder: e.g., 3.12.8
-    validations:
-      required: true
-
-  - type: input
-    id: os
-    attributes:
-      label: Operating System
-      description: Which OS are you using?
-      placeholder: e.g., Ubuntu 24.04, Windows 11, macOS 12.5
-    validations:
-      required: true
-
-  - type: textarea
-    id: description
-    attributes:
-      label: Issue description
-      description: Provide a clear description of the issue.
-    validations:
-      required: true
-
-  - type: textarea
-    id: repro
-    attributes:
-      label: Reproduction steps
-      description: List the steps to reproduce the issue.
-      placeholder: |
-        1. Do this...
-        2. Then do that...
-        3. Observe the error...
-    validations:
-      required: true
-
-  - type: textarea
-    id: expected
-    attributes:
-      label: Expected behavior
-      description: What did you expect to happen?
-    validations:
-      required: true
-
-  - type: textarea
-    id: actual
-    attributes:
-      label: Actual behavior
-      description: What actually happened?
-    validations:
-      required: true
-
-  - type: textarea
-    id: logs
-    attributes:
-      label: Logs
-      description: If applicable, include any relevant logs or error messages
-      render: shell
-    validations:
-      required: false
--- a/.github/ISSUE_TEMPLATE/2-question.yml
+++ b/.github/ISSUE_TEMPLATE/2-question.yml
@@ -1,67 +0,0 @@
-name: Question
-description: Ask a question or get help
-type: Question
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## Question
-
-        Use this form to ask a question about pipecat.
-
-  - type: markdown
-    attributes:
-      value: |
-        ### Environment (if applicable)
-
-  - type: input
-    id: pipecat-version
-    attributes:
-      label: pipecat version
-      description: Which version are you using? (if applicable)
-      placeholder: e.g., 0.0.63
-    validations:
-      required: false
-
-  - type: input
-    id: python-version
-    attributes:
-      label: Python version
-      description: Which Python version are you using? (if applicable)
-      placeholder: e.g., 3.12.8
-    validations:
-      required: false
-
-  - type: input
-    id: os
-    attributes:
-      label: Operating System
-      description: Which OS are you using? (if applicable)
-      placeholder: e.g., Ubuntu 24.04, Windows 11, macOS 12.5
-    validations:
-      required: false
-
-  - type: textarea
-    id: question
-    attributes:
-      label: Question
-      description: Provide your question in detail here.
-    validations:
-      required: true
-
-  - type: textarea
-    id: tried
-    attributes:
-      label: What I've tried
-      description: Describe what you've already tried or research you've done.
-      placeholder: I've looked at the documentation and tried...
-    validations:
-      required: false
-
-  - type: textarea
-    id: context
-    attributes:
-      label: Context
-      description: Any additional context or information that might help others understand your question better.
-    validations:
-      required: false
--- a/.github/ISSUE_TEMPLATE/3-feature_request.yml
+++ b/.github/ISSUE_TEMPLATE/3-feature_request.yml
@@ -1,52 +0,0 @@
-name: Feature request
-description: Suggest an enhancement or new feature
-type: Enhancement
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## Feature Request
-
-        Thank you for suggesting an enhancement to pipecat.
-
-  - type: textarea
-    id: problem
-    attributes:
-      label: Problem Statement
-      description: A clear description of the problem this feature would solve.
-      placeholder: I'm always frustrated when...
-    validations:
-      required: true
-
-  - type: textarea
-    id: solution
-    attributes:
-      label: Proposed Solution
-      description: A clear and concise description of what you want to happen.
-    validations:
-      required: true
-
-  - type: textarea
-    id: alternatives
-    attributes:
-      label: Alternative Solutions
-      description: Any alternative solutions or features you've considered.
-    validations:
-      required: false
-
-  - type: textarea
-    id: context
-    attributes:
-      label: Additional Context
-      description: Add any other context, mockups, or screenshots about the feature request here.
-      placeholder: You can drag and drop images here to include them.
-    validations:
-      required: false
-
-  - type: checkboxes
-    id: contribution
-    attributes:
-      label: Would you be willing to help implement this feature?
-      options:
-        - label: Yes, I'd like to contribute
-        - label: No, I'm just suggesting
--- a/.github/ISSUE_TEMPLATE/4-service-issue.yml
+++ b/.github/ISSUE_TEMPLATE/4-service-issue.yml
@@ -1,82 +0,0 @@
-name: Service Issue
-description: An issue with a third-party service
-type: Service Issue
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## Service Issue
-
-        Use this form to report an issue with a third-party service integration.
-
-  - type: input
-    id: pipecat-version
-    attributes:
-      label: pipecat version
-      description: Which version are you using?
-      placeholder: e.g., 0.0.63
-    validations:
-      required: true
-
-  - type: input
-    id: service-name
-    attributes:
-      label: Service Name
-      description: Which third-party service is having issues?
-      placeholder: e.g., OpenAI, ElevenLabs, Anthropic
-    validations:
-      required: true
-
-  - type: input
-    id: service-version
-    attributes:
-      label: Service or model version
-      description: Which version of the service API or model are you using?
-      placeholder: e.g., v1, gpt-4.1
-    validations:
-      required: false
-
-  - type: textarea
-    id: description
-    attributes:
-      label: Issue Description
-      description: Provide a clear description of the service issue.
-    validations:
-      required: true
-
-  - type: textarea
-    id: reproduction
-    attributes:
-      label: Reproduction Steps
-      description: Provide steps to reproduce the issue.
-      placeholder: |
-        1. Configure service X
-        2. Call method Y
-        3. See error Z
-    validations:
-      required: true
-
-  - type: textarea
-    id: expected
-    attributes:
-      label: Expected Behavior
-      description: What did you expect to happen?
-    validations:
-      required: true
-
-  - type: textarea
-    id: actual
-    attributes:
-      label: Actual Behavior
-      description: What actually happened?
-    validations:
-      required: true
-
-  - type: textarea
-    id: logs
-    attributes:
-      label: Error Logs
-      description: If available, include any error messages or logs.
-      render: shell
-    validations:
-      required: false
--- a/.github/ISSUE_TEMPLATE/5-new-service.yml
+++ b/.github/ISSUE_TEMPLATE/5-new-service.yml
@@ -1,56 +0,0 @@
-name: New Service
-description: Request to support a new third-party service
-type: New Service
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## New Service Request
-
-        Use this form to request support for a new third-party service in pipecat.
-
-  - type: input
-    id: service-name
-    attributes:
-      label: Service Name
-      description: What is the name of the third-party service?
-      placeholder: e.g., NewAPI, SomeService
-    validations:
-      required: true
-
-  - type: input
-    id: service-website
-    attributes:
-      label: Service Website
-      description: Link to the service's website or documentation
-      placeholder: e.g., https://newapi.com
-    validations:
-      required: true
-
-  - type: textarea
-    id: service-description
-    attributes:
-      label: Service Description
-      description: Briefly describe what this service does and how it works.
-    validations:
-      required: true
-
-  - type: textarea
-    id: api-info
-    attributes:
-      label: API Information
-      description: If available, provide details about the service's API.
-      placeholder: |
-        - API documentation link
-        - Authentication method
-        - Key endpoints you'd like supported
-    validations:
-      required: false
-
-  - type: checkboxes
-    id: contribution
-    attributes:
-      label: Would you be willing to help implement this service?
-      options:
-        - label: Yes, I'd like to contribute
-        - label: No, I'm just suggesting
--- a/.github/ISSUE_TEMPLATE/6-dependency.yml
+++ b/.github/ISSUE_TEMPLATE/6-dependency.yml
@@ -1,74 +0,0 @@
-name: Dependency Issue
-description: An issue with a Pipecat dependency (not a third-party service)
-type: Dependency Issue
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## Dependency Issue
-
-        Use this form to report an issue with a Pipecat dependency.
-
-  - type: input
-    id: pipecat-version
-    attributes:
-      label: pipecat version
-      description: Which version are you using?
-      placeholder: e.g., 0.0.63
-    validations:
-      required: true
-
-  - type: input
-    id: dependency-name
-    attributes:
-      label: Dependency Name
-      description: Which Pipecat dependency is causing the issue?
-      placeholder: e.g., openai, anthropic, fastapi
-    validations:
-      required: true
-
-  - type: input
-    id: dependency-version
-    attributes:
-      label: Dependency Version
-      description: Which version of the dependency are you using?
-      placeholder: e.g., 1.2.3
-    validations:
-      required: true
-
-  - type: textarea
-    id: description
-    attributes:
-      label: Issue Description
-      description: Provide a clear description of the dependency issue.
-    validations:
-      required: true
-
-  - type: textarea
-    id: impact
-    attributes:
-      label: Impact
-      description: How is this dependency issue affecting your usage of pipecat?
-    validations:
-      required: true
-
-  - type: textarea
-    id: reproduction
-    attributes:
-      label: Reproduction Steps
-      description: If applicable, provide steps to reproduce the issue.
-      placeholder: |
-        1. Install dependency X
-        2. Run command Y
-        3. See error Z
-    validations:
-      required: false
-
-  - type: textarea
-    id: logs
-    attributes:
-      label: Error Logs
-      description: If applicable, include any relevant error messages or logs.
-      render: shell
-    validations:
-      required: false
--- a/.github/ISSUE_TEMPLATE/7-troubleshooting.yml
+++ b/.github/ISSUE_TEMPLATE/7-troubleshooting.yml
@@ -1,70 +0,0 @@
-name: Troubleshooting
-description: Help with a specific use case
-type: Troubleshooting
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## Troubleshooting Request
-
-        Use this form to get help with a specific use case or implementation.
-
-  - type: input
-    id: pipecat-version
-    attributes:
-      label: pipecat version
-      description: Which version are you using?
-      placeholder: e.g., 0.0.63
-    validations:
-      required: true
-
-  - type: input
-    id: python-version
-    attributes:
-      label: Python version
-      description: Which version of Python are you using?
-      placeholder: e.g., 3.12.8
-    validations:
-      required: true
-
-  - type: input
-    id: os
-    attributes:
-      label: Operating System
-      description: Which OS are you using?
-      placeholder: e.g., Ubuntu 24.04, Windows 11, macOS 12.5
-    validations:
-      required: true
-
-  - type: textarea
-    id: use-case
-    attributes:
-      label: Use Case Description
-      description: Describe what you're trying to accomplish with pipecat.
-    validations:
-      required: true
-
-  - type: textarea
-    id: current-approach
-    attributes:
-      label: Current Approach
-      description: What have you tried so far? Include code snippets if relevant.
-      render: python
-    validations:
-      required: true
-
-  - type: textarea
-    id: errors
-    attributes:
-      label: Errors or Unexpected Behavior
-      description: Describe any errors or unexpected behavior you're encountering.
-    validations:
-      required: true
-
-  - type: textarea
-    id: additional-context
-    attributes:
-      label: Additional Context
-      description: Any other information that might help us understand your situation.
-    validations:
-      required: false
--- a/.github/ISSUE_TEMPLATE/config.yml
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -1 +0,0 @@
-blank_issues_enabled: false
--- a/.github/PULL_REQUEST_TEMPLATE.md
+++ b/.github/PULL_REQUEST_TEMPLATE.md
@@ -1 +0,0 @@
-#### Please describe the changes in your PR. If it is addressing an issue, please reference that as well.
--- a/.github/workflows/android.yaml
+++ b/.github/workflows/android.yaml
@@ -1,48 +0,0 @@
-name: android
-
-on:
-  push:
-    branches:
-      - main
-    paths:
-      - "examples/simple-chatbot/client/android/**"
-  pull_request:
-    branches:
-      - "**"
-    paths:
-      - "examples/simple-chatbot/client/android/**"
-  workflow_dispatch:
-    inputs:
-      sdk_git_ref:
-        type: string
-        description: "Which git ref of the app to build"
-
-concurrency:
-  group: build-android-${{ github.event.pull_request.number || github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  sdk:
-    name: "Simple chatbot demo"
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repo
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ github.event.inputs.sdk_git_ref || github.ref }}
-
-      - name: "Install Java"
-        uses: actions/setup-java@v4
-        with:
-          distribution: 'temurin'
-          java-version: '17'
-
-      - name: Build demo app
-        working-directory: examples/simple-chatbot/client/android
-        run: ./gradlew :simple-chatbot-client:assembleDebug
-
-      - name: Upload demo APK
-        uses: actions/upload-artifact@v4
-        with:
-          name: Simple Chatbot Android Client
-          path: examples/simple-chatbot/client/android/simple-chatbot-client/build/outputs/apk/debug/simple-chatbot-client-debug.apk
--- a/.github/workflows/coverage.yaml
+++ b/.github/workflows/coverage.yaml
@@ -1,54 +0,0 @@
-name: coverage
-
-on:
-  workflow_dispatch:
-  push:
-    branches:
-      - main
-  pull_request:
-    branches:
-      - "**"
-    paths-ignore:
-      - "docs/**"
-
-jobs:
-  coverage:
-    name: "Coverage"
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repo
-        uses: actions/checkout@v4
-      - name: Set up Python
-        id: setup_python
-        uses: actions/setup-python@v4
-        with:
-          python-version: "3.10"
-      - name: Cache virtual environment
-        uses: actions/cache@v3
-        with:
-          # We are hashing dev-requirements.txt and test-requirements.txt which
-          # contain all dependencies needed to run the tests.
-          key: venv-${{ 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: 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 -r test-requirements.txt
-      - name: Run tests with coverage
-        run: |
-          source .venv/bin/activate
-          coverage run
-          coverage xml
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v5
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-          slug: pipecat-ai/pipecat
--- a/.github/workflows/format.yaml
+++ b/.github/workflows/format.yaml
@@ -1,4 +1,4 @@
-name: format
+name: lint

 on:
  workflow_dispatch:
@@ -12,12 +12,12 @@ on:
      - "docs/**"

 concurrency:
-  group: build-format-${{ github.event.pull_request.number || github.ref }}
+  group: build-lint-${{ github.event.pull_request.number || github.ref }}
  cancel-in-progress: true

 jobs:
-  ruff-format:
-    name: "Formatting checker"
+  autopep8:
+    name: "Formatting lints"
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repo
@@ -25,7 +25,7 @@ jobs:
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
-          python-version: "3.10"
+          python-version: '3.10'
      - name: Setup virtual environment
        run: |
          python -m venv .venv
@@ -34,13 +34,11 @@ jobs:
          source .venv/bin/activate
          python -m pip install --upgrade pip
          pip install -r dev-requirements.txt
-      - name: Ruff formatter
-        id: ruff-format
+      - name: autopep8
+        id: autopep8
        run: |
          source .venv/bin/activate
-          ruff format --diff
-      - name: Ruff import linter
-        id: ruff-check
-        run: |
-          source .venv/bin/activate
-          ruff check --select I
+          autopep8 --max-line-length 100 --exit-code -r -d --exclude "*_pb2.py" -a -a src/
+      - name: Fail if autopep8 requires changes
+        if: steps.autopep8.outputs.exit-code == 2
+        run: exit 1
--- a/.github/workflows/tests.yaml
+++ b/.github/workflows/tests.yaml
@@ -1,4 +1,4 @@
-name: tests
+name: test

 on:
  workflow_dispatch:
@@ -20,24 +20,14 @@ jobs:
    name: "Unit and Integration Tests"
    runs-on: ubuntu-latest
    steps:
-      - name: Checkout repo
-        uses: actions/checkout@v4
+      - uses: actions/checkout@v4
      - name: Set up Python
        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
+        run: sudo apt-get install -y portaudio19-dev
      - name: Setup virtual environment
        run: |
          python -m venv .venv
@@ -45,8 +35,8 @@ jobs:
        run: |
          source .venv/bin/activate
          python -m pip install --upgrade pip
-          pip install -r dev-requirements.txt -r test-requirements.txt
+          pip install -r dev-requirements.txt
      - name: Test with pytest
        run: |
          source .venv/bin/activate
-          pytest
+          pytest --doctest-modules --ignore-glob="*to_be_updated*" src tests
--- a/.gitignore
+++ b/.gitignore
@@ -4,10 +4,9 @@ __pycache__/
 *~
 venv
 .venv
-/.idea
 #*#

-# Distribution / Packaging
+# Distribution / packaging
 .Python
 build/
 develop-eggs/
@@ -28,26 +27,4 @@ share/python-wheels/
 MANIFEST
 .DS_Store
 .env
-fly.toml
-
-# Examples
-examples/telnyx-chatbot/templates/streams.xml
-examples/twilio-chatbot/templates/streams.xml
-examples/**/node_modules/
-examples/**/.expo/
-examples/**/dist/
-examples/**/npm-debug.*
-examples/**/*.jks
-examples/**/*.p8
-examples/**/*.p12
-examples/**/*.key
-examples/**/*.mobileprovision
-examples/**/*.orig.*
-examples/**/web-build/
-
-# macOS
-.DS_Store
-
-# Documentation
-docs/api/_build/
-docs/api/api
+fly.toml
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,8 +0,0 @@
-repos:
-  - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.9.7
-    hooks:
-      - id: ruff
-        language_version: python3
-        args: [ --select,  I, ]
-      - id: ruff-format
--- a/.readthedocs.yaml
+++ b/.readthedocs.yaml
@@ -1,36 +0,0 @@
-version: 2
-
-build:
-  os: ubuntu-22.04
-  tools:
-    python: '3.12'
-  apt_packages:
-    - portaudio19-dev
-    - python3-dev
-    - libasound2-dev
-  jobs:
-    pre_build:
-      - python -m pip install --upgrade pip
-      - pip install wheel setuptools
-    post_build:
-      - echo "Build completed"
-
-sphinx:
-  configuration: docs/api/conf.py
-  fail_on_warning: false
-
-python:
-  install:
-    - requirements: docs/api/requirements.txt
-    - method: pip
-      path: .
-
-search:
-  ranking:
-    api/*: 5
-    getting-started/*: 4
-    guides/*: 3
-
-submodules:
-  include: all
-  recursive: true
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,206 +0,0 @@
-## Contributing to Pipecat
-
-We welcome contributions of all kinds! Your help is appreciated. Follow these steps to get involved:
-
-1. **Fork this repository**: Start by forking the Pipecat Documentation repository to your GitHub account.
-
-2. **Clone the repository**: Clone your forked repository to your local machine.
-   ```bash
-   git clone https://github.com/your-username/pipecat
-   ```
-3. **Create a branch**: For your contribution, create a new branch.
-   ```bash
-   git checkout -b your-branch-name
-   ```
-4. **Make your changes**: Edit or add files as necessary.
-5. **Test your changes**: Ensure that your changes look correct and follow the style set in the codebase.
-6. **Commit your changes**: Once you're satisfied with your changes, commit them with a meaningful message.
-
-```bash
-git commit -m "Description of your changes"
-```
-
-7. **Push your changes**: Push your branch to your forked repository.
-
-```bash
-git push origin your-branch-name
-```
-
-8. **Submit a Pull Request (PR)**: Open a PR from your forked repository to the main branch of this repo.
-   > Important: Describe the changes you've made clearly!
-
-Our maintainers will review your PR, and once everything is good, your contributions will be merged!
-
-## Code Style and Documentation
-
-### Python Code Style
-
-We use Ruff for code linting and formatting. Please ensure your code passes all linting checks before submitting a PR.
-
-### Docstring Conventions
-
-We follow Google-style docstrings with these specific conventions:
-
- Class docstrings should fully document all parameters used in `__init__`
- We don't require separate docstrings for `__init__` methods when parameters are documented in the class docstring
- Property methods should have docstrings explaining their purpose and return value
-
-Example of correctly documented class:
-
-```python
-class MyClass:
-    """Class description.
-
-    Additional details about the class.
-
-    Args:
-        param1: Description of first parameter.
-        param2: Description of second parameter.
-    """
-
-    def __init__(self, param1, param2):
-        # No docstring required here as parameters are documented above
-        self.param1 = param1
-        self.param2 = param2
-
-    @property
-    def some_property(self) -> str:
-        """Get the formatted property value.
-
-        Returns:
-            A string representation of the property.
-        """
-        return f"Property: {self.param1}"
-```
-
-# Contributor Covenant Code of Conduct
-
-## Our Pledge
-
-We as members, contributors, and leaders pledge to make participation in our
-community a harassment-free experience for everyone, regardless of age, body
-size, visible or invisible disability, ethnicity, sex characteristics, gender
-identity and expression, level of experience, education, socio-economic status,
-nationality, personal appearance, race, caste, color, religion, or sexual
-identity and orientation.
-
-We pledge to act and interact in ways that contribute to an open, welcoming,
-diverse, inclusive, and healthy community.
-
-## Our Standards
-
-Examples of behavior that contributes to a positive environment for our
-community include:
-
- Demonstrating empathy and kindness toward other people
- Being respectful of differing opinions, viewpoints, and experiences
- Giving and gracefully accepting constructive feedback
- Accepting responsibility and apologizing to those affected by our mistakes,
-  and learning from the experience
- Focusing on what is best not just for us as individuals, but for the overall
-  community
-
-Examples of unacceptable behavior include:
-
- The use of sexualized language or imagery, and sexual attention or advances of
-  any kind
- Trolling, insulting or derogatory comments, and personal or political attacks
- Public or private harassment
- Publishing others' private information, such as a physical or email address,
-  without their explicit permission
- Other conduct which could reasonably be considered inappropriate in a
-  professional setting
-
-## Enforcement Responsibilities
-
-Community leaders are responsible for clarifying and enforcing our standards of
-acceptable behavior and will take appropriate and fair corrective action in
-response to any behavior that they deem inappropriate, threatening, offensive,
-or harmful.
-
-Community leaders have the right and responsibility to remove, edit, or reject
-comments, commits, code, wiki edits, issues, and other contributions that are
-not aligned to this Code of Conduct, and will communicate reasons for moderation
-decisions when appropriate.
-
-## Scope
-
-This Code of Conduct applies within all community spaces, and also applies when
-an individual is officially representing the community in public spaces.
-Examples of representing our community include using an official email address,
-posting via an official social media account, or acting as an appointed
-representative at an online or offline event.
-
-## Enforcement
-
-Instances of abusive, harassing, or otherwise unacceptable behavior may be
-reported to the community leaders responsible for enforcement at pipecat-ai@daily.co.
-All complaints will be reviewed and investigated promptly and fairly.
-
-All community leaders are obligated to respect the privacy and security of the
-reporter of any incident.
-
-## Enforcement Guidelines
-
-Community leaders will follow these Community Impact Guidelines in determining
-the consequences for any action they deem in violation of this Code of Conduct:
-
-### 1. Correction
-
-**Community Impact**: Use of inappropriate language or other behavior deemed
-unprofessional or unwelcome in the community.
-
-**Consequence**: A private, written warning from community leaders, providing
-clarity around the nature of the violation and an explanation of why the
-behavior was inappropriate. A public apology may be requested.
-
-### 2. Warning
-
-**Community Impact**: A violation through a single incident or series of
-actions.
-
-**Consequence**: A warning with consequences for continued behavior. No
-interaction with the people involved, including unsolicited interaction with
-those enforcing the Code of Conduct, for a specified period of time. This
-includes avoiding interactions in community spaces as well as external channels
-like social media. Violating these terms may lead to a temporary or permanent
-ban.
-
-### 3. Temporary Ban
-
-**Community Impact**: A serious violation of community standards, including
-sustained inappropriate behavior.
-
-**Consequence**: A temporary ban from any sort of interaction or public
-communication with the community for a specified period of time. No public or
-private interaction with the people involved, including unsolicited interaction
-with those enforcing the Code of Conduct, is allowed during this period.
-Violating these terms may lead to a permanent ban.
-
-### 4. Permanent Ban
-
-**Community Impact**: Demonstrating a pattern of violation of community
-standards, including sustained inappropriate behavior, harassment of an
-individual, or aggression toward or disparagement of classes of individuals.
-
-**Consequence**: A permanent ban from any sort of public interaction within the
-community.
-
-## Attribution
-
-This Code of Conduct is adapted from the [Contributor Covenant][homepage],
-version 2.1, available at
-[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1].
-
-Community Impact Guidelines were inspired by
-[Mozilla's code of conduct enforcement ladder][Mozilla CoC].
-
-For answers to common questions about this code of conduct, see the FAQ at
-[https://www.contributor-covenant.org/faq][FAQ]. Translations are available at
-[https://www.contributor-covenant.org/translations][translations].
-
-[homepage]: https://www.contributor-covenant.org
-[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html
-[Mozilla CoC]: https://github.com/mozilla/diversity
-[FAQ]: https://www.contributor-covenant.org/faq
-[translations]: https://www.contributor-covenant.org/translations
--- a/2
+++ b/2
@@ -1,6 +1,6 @@
 BSD 2-Clause License

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

 Redistribution and use in source and binary forms, with or without
 modification, are permitted provided that the following conditions are met:
--- a/README.md
+++ b/README.md
@@ -1,212 +1,219 @@
-<h1><div align="center">
- <img alt="pipecat" width="300px" height="auto" src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/pipecat.png">
-</div></h1>
+<div align="center">
+ <img alt="pipecat" width="300px" height="auto" src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/pipecat.png">
+</div>

-[![PyPI](https://img.shields.io/pypi/v/pipecat-ai)](https://pypi.org/project/pipecat-ai) ![Tests](https://github.com/pipecat-ai/pipecat/actions/workflows/tests.yaml/badge.svg) [![codecov](https://codecov.io/gh/pipecat-ai/pipecat/graph/badge.svg?token=LNVUIVO4Y9)](https://codecov.io/gh/pipecat-ai/pipecat) [![Docs](https://img.shields.io/badge/Documentation-blue)](https://docs.pipecat.ai) [![Discord](https://img.shields.io/discord/1239284677165056021)](https://discord.gg/pipecat)
+# Pipecat

-# 🎙️ Pipecat: Real-Time Voice & Multimodal AI Agents
+[![PyPI](https://img.shields.io/pypi/v/pipecat-ai)](https://pypi.org/project/pipecat-ai) [![Discord](https://img.shields.io/discord/1239284677165056021)](https://discord.gg/pipecat) <a href="https://app.commanddash.io/agent/github_pipecat-ai_pipecat"><img src="https://img.shields.io/badge/AI-Code%20Agent-EB9FDA"></a>

-**Pipecat** is an open-source Python framework for building 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.
+`pipecat` is a framework for building voice (and multimodal) conversational agents. Things like personal coaches, meeting assistants, [story-telling toys for kids](https://storytelling-chatbot.fly.dev/), customer support bots, [intake flows](https://www.youtube.com/watch?v=lDevgsp9vn0), and snarky social companions.

-## 🚀 What You Can Build
-
- **Voice Assistants** – natural, streaming conversations with AI
- **AI Companions** – coaches, meeting assistants, characters
- **Multimodal Interfaces** – voice, video, images, and more
- **Interactive Storytelling** – creative tools with generative media
- **Business Agents** – customer intake, support bots, guided flows
- **Complex Dialog Systems** – design logic with structured conversations
-
-🧭 Looking to build structured conversations? Check out [Pipecat Flows](https://github.com/pipecat-ai/pipecat-flows) for managing complex conversational states and transitions.
-
-## 🧠 Why Pipecat?
-
- **Voice-first**: Integrates speech recognition, text-to-speech, and conversation handling
- **Pluggable**: Supports many AI services and tools
- **Composable Pipelines**: Build complex behavior from modular components
- **Real-Time**: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)
-
-## 🎬 See it in action
+Take a look at some example apps:

 <p float="left">
-    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/simple-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/simple-chatbot/image.png" width="400" /></a>&nbsp;
-    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/storytelling-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/storytelling-chatbot/image.png" width="400" /></a>
+    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/simple-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/simple-chatbot/image.png" width="280" /></a>&nbsp;
+    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/storytelling-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/storytelling-chatbot/image.png" width="280" /></a>
    <br/>
-    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/translation-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/translation-chatbot/image.png" width="400" /></a>&nbsp;
-    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/moondream-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/moondream-chatbot/image.png" width="400" /></a>
+    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/translation-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/translation-chatbot/image.png" width="280" /></a>&nbsp;
+    <a href="https://github.com/pipecat-ai/pipecat/tree/main/examples/moondream-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat/main/examples/moondream-chatbot/image.png" width="280" /></a>
 </p>

-## 📱 Client SDKs
+## Getting started with voice agents

-You can connect to Pipecat from any platform using our official SDKs:
-
-| Platform | SDK Repo                                                                       | Description                      |
-| -------- | ------------------------------------------------------------------------------ | -------------------------------- |
-| Web      | [pipecat-client-web](https://github.com/pipecat-ai/pipecat-client-web)         | JavaScript and React client SDKs |
-| iOS      | [pipecat-client-ios](https://github.com/pipecat-ai/pipecat-client-ios)         | Swift SDK for iOS                |
-| Android  | [pipecat-client-android](https://github.com/pipecat-ai/pipecat-client-android) | Kotlin SDK for Android           |
-| C++      | [pipecat-client-cxx](https://github.com/pipecat-ai/pipecat-client-cxx)         | C++ client SDK                   |
-
-## 🧩 Available services
-
-| Category            | Services                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
-| ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| Speech-to-Text      | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [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), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [Parakeet (NVIDIA)](https://docs.pipecat.ai/server/services/stt/parakeet), [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), [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), [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), [FastPitch (NVIDIA)](https://docs.pipecat.ai/server/services/tts/fastpitch), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [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), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts)                       |
-| Speech-to-Speech    | [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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
-| 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 | [Canonical AI](https://docs.pipecat.ai/server/services/analytics/canonical), [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. You can also add a 📞 telephone number, 🖼️ image output, 📺 video input, use different LLMs, and more.

 ```shell
-# Install the module
+# install the module
 pip install pipecat-ai

-# Set up your environment
+# set up an .env file with API keys
 cp dot-env.template .env
 ```

-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:
+By default, in order to minimize dependencies, only the basic framework functionality is available. Some third-party AI services require additional dependencies that you can install with:

 ```shell
 pip install "pipecat-ai[option,...]"
 ```

-## 🧪 Code examples
+Your project may or may not need these, so they're made available as optional requirements. Here is a list:

- [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/tree/main/examples/) — complete applications that you can use as starting points for development
+- **AI services**: `anthropic`, `azure`, `deepgram`, `gladia`, `google`, `fal`, `lmnt`, `moondream`, `openai`, `openpipe`, `playht`, `silero`, `whisper`, `xtts`
+- **Transports**: `local`, `websocket`, `daily`

-## 🛠️ Hacking on the framework itself
+## Code examples

-1. Set up a virtual environment before following these instructions. From the root of the repo:
+- [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/tree/main/examples/) — complete applications that you can use as starting points for development

-   ```shell
-   python3 -m venv venv
-   source venv/bin/activate
-   ```
+## A simple voice agent running locally

-2. Install the development dependencies:
+Here is a very basic Pipecat bot that greets a user when they join a real-time session. We'll use [Daily](https://daily.co) for real-time media transport, and [Cartesia](https://cartesia.ai/) for text-to-speech.

-   ```shell
-   pip install -r dev-requirements.txt
-   ```
+```python
+#app.py

-3. Install the git pre-commit hooks (these help ensure your code follows project rules):
+import asyncio
+import aiohttp

-   ```shell
-   pre-commit install
-   ```
+from pipecat.frames.frames import EndFrame, TextFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.task import PipelineTask
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.services.cartesia import CartesiaTTSService
+from pipecat.transports.services.daily import DailyParams, DailyTransport

-4. Install the `pipecat-ai` package locally in editable mode:
+async def main():
+  async with aiohttp.ClientSession() as session:
+    # Use Daily as a real-time media transport (WebRTC)
+    transport = DailyTransport(
+      room_url=...,
+      token=...,
+      bot_name="Bot Name",
+      params=DailyParams(audio_out_enabled=True))

-   ```shell
-   pip install -e .
-   ```
+    # Use Cartesia for Text-to-Speech
+    tts = CartesiaTTSService(
+        api_key=...,
+        voice_id=...
+      )

-   > The `-e` or `--editable` option allows you to modify the code without reinstalling.
+    # Simple pipeline that will process text to speech and output the result
+    pipeline = Pipeline([tts, transport.output()])

-5. Include optional dependencies as needed. For example:
+    # Create Pipecat processor that can run one or more pipelines tasks
+    runner = PipelineRunner()

-   ```shell
-   pip install -e ".[daily,deepgram,cartesia,openai,silero]"
-   ```
+    # Assign the task callable to run the pipeline
+    task = PipelineTask(pipeline)

-6. (Optional) If you want to use this package from another directory:
+    # Register an event handler to play audio when a
+    # participant joins the transport WebRTC session
+    @transport.event_handler("on_participant_joined")
+    async def on_new_participant_joined(transport, participant):
+      participant_name = participant["info"]["userName"] or ''
+      # Queue a TextFrame that will get spoken by the TTS service (Cartesia)
+      await task.queue_frames([TextFrame(f"Hello there, {participant_name}!"), EndFrame()])

-   ```shell
-   pip install "path_to_this_repo[option,...]"
-   ```
+    # Run the pipeline task
+    await runner.run(task)

-### Running tests
+if __name__ == "__main__":
+  asyncio.run(main())
+```

-Install the test dependencies:
+Run it with:

 ```shell
-pip install -r test-requirements.txt
+python app.py
 ```

+Daily provides a prebuilt WebRTC user interface. Whilst the app is running, you can visit at `https://<yourdomain>.daily.co/<room_url>` and listen to the bot say hello!
+
+
+## WebRTC for production use
+
+WebSockets are fine for server-to-server communication or for initial development. But for production use, you’ll need client-server audio to use a protocol designed for real-time media transport. (For an explanation of the difference between WebSockets and WebRTC, see [this post.](https://www.daily.co/blog/how-to-talk-to-an-llm-with-your-voice/#webrtc))
+
+One way to get up and running quickly with WebRTC is to sign up for a Daily developer account. Daily gives you SDKs and global infrastructure for audio (and video) routing. Every account gets 10,000 audio/video/transcription minutes free each month.
+
+Sign up [here](https://dashboard.daily.co/u/signup) and [create a room](https://docs.daily.co/reference/rest-api/rooms) in the developer Dashboard.
+
+## What is VAD?
+
+Voice Activity Detection &mdash; very important for knowing when a user has finished speaking to your bot. If you are not using press-to-talk, and want Pipecat to detect when the user has finished talking, VAD is an essential component for a natural feeling conversation.
+
+Pipecat makes use of WebRTC VAD by default when using a WebRTC transport layer. Optionally, you can use Silero VAD for improved accuracy at the cost of higher CPU usage.
+
+```shell
+pip install pipecat-ai[silero]
+```
+
+The first time your run your bot with Silero, startup may take a while whilst it downloads and caches the model in the background. You can check the progress of this in the console.
+
+
+## Hacking on the framework itself
+
+_Note that you may need to set up a virtual environment before following the instructions below. For instance, you might need to run the following from the root of the repo:_
+
+```shell
+python3 -m venv venv
+source venv/bin/activate
+```
+
+From the root of this repo, run the following:
+
+```shell
+pip install -r dev-requirements.txt
+python -m build
+```
+
+This builds the package. To use the package locally (e.g. to run sample files), run
+
+```shell
+pip install --editable ".[option,...]"
+```
+
+If you want to use this package from another directory, you can run:
+
+```shell
+pip install "path_to_this_repo[option,...]"
+```
+
+### Running tests
+
 From the root directory, run:

 ```shell
-pytest
+pytest --doctest-modules --ignore-glob="*to_be_updated*" src tests
 ```

-### Setting up your editor
+## Setting up your editor

-This project uses strict [PEP 8](https://peps.python.org/pep-0008/) formatting via [Ruff](https://github.com/astral-sh/ruff).
+This project uses strict [PEP 8](https://peps.python.org/pep-0008/) formatting.

-#### Emacs
+### Emacs

-You can use [use-package](https://github.com/jwiegley/use-package) to install [emacs-lazy-ruff](https://github.com/christophermadsen/emacs-lazy-ruff) package and configure `ruff` arguments:
+You can use [use-package](https://github.com/jwiegley/use-package) to install [py-autopep8](https://codeberg.org/ideasman42/emacs-py-autopep8) package and configure `autopep8` arguments:

 ```elisp
-(use-package lazy-ruff
+(use-package py-autopep8
  :ensure t
-  :hook ((python-mode . lazy-ruff-mode))
+  :defer t
+  :hook ((python-mode . py-autopep8-mode))
  :config
-  (setq lazy-ruff-format-command "ruff format")
-  (setq lazy-ruff-check-command "ruff check --select I"))
+  (setq py-autopep8-options '("-a" "-a", "--max-line-length=100")))
 ```

-`ruff` was installed in the `venv` environment described before, so you should be able to use [pyvenv-auto](https://github.com/ryotaro612/pyvenv-auto) to automatically load that environment inside Emacs.
+`autopep8` was installed in the `venv` environment described before, so you should be able to use [pyvenv-auto](https://github.com/ryotaro612/pyvenv-auto) to automatically load that environment inside Emacs.

 ```elisp
 (use-package pyvenv-auto
  :ensure t
  :defer t
  :hook ((python-mode . pyvenv-auto-run)))
+
 ```

-#### Visual Studio Code
+### Visual Studio Code

 Install the
-[Ruff](https://marketplace.visualstudio.com/items?itemName=charliermarsh.ruff) extension. Then edit the user settings (_Ctrl-Shift-P_ `Open User Settings (JSON)`) and set it as the default Python formatter, and enable formatting on save:
+[autopep8](https://marketplace.visualstudio.com/items?itemName=ms-python.autopep8) extension. Then edit the user settings (_Ctrl-Shift-P_ `Open User Settings (JSON)`) and set it as the default Python formatter, enable formatting on save and configure `autopep8` arguments:

 ```json
 "[python]": {
-    "editor.defaultFormatter": "charliermarsh.ruff",
+    "editor.defaultFormatter": "ms-python.autopep8",
    "editor.formatOnSave": true
-}
+},
+"autopep8.args": [
+    "-a",
+    "-a",
+    "--max-line-length=100"
+],
 ```

-#### PyCharm
-
-`ruff` was installed in the `venv` environment described before, now to enable autoformatting on save, go to `File` -> `Settings` -> `Tools` -> `File Watchers` and add a new watcher with the following settings:
-
-1. **Name**: `Ruff formatter`
-2. **File type**: `Python`
-3. **Working directory**: `$ContentRoot$`
-4. **Arguments**: `format $FilePath$`
-5. **Program**: `$PyInterpreterDirectory$/ruff`
-
-## 🤝 Contributing
-
-We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:
-
- **Found a bug?** Open an [issue](https://github.com/pipecat-ai/pipecat/issues)
- **Have a feature idea?** Start a [discussion](https://discord.gg/pipecat)
- **Want to contribute code?** Check our [CONTRIBUTING.md](CONTRIBUTING.md) guide
- **Documentation improvements?** [Docs](https://github.com/pipecat-ai/docs) PRs are always welcome
-
-Before submitting a pull request, please check existing issues and PRs to avoid duplicates.
-
-We aim to review all contributions promptly and provide constructive feedback to help get your changes merged.
-
-## 🛟 Getting help
+## Getting help

 ➡️ [Join our Discord](https://discord.gg/pipecat)

-➡️ [Read the docs](https://docs.pipecat.ai)
-
 ➡️ [Reach us on X](https://x.com/pipecat_ai)
--- a/codecov.yml
+++ b/codecov.yml
@@ -1,11 +0,0 @@
-coverage:
-  range: 50..90 # coverage lower than 50 is red, higher than 90 green, between color code
-
-  status:
-    project:
-      default:
-        target: auto # auto % coverage target
-        threshold: 5%  # allow for 5% reduction of coverage without failing
-
-    # do not run coverage on patch nor changes
-    patch: false
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -1,13 +1,8 @@
-build~=1.2.2
-coverage~=7.6.12
-grpcio-tools~=1.67.1
+autopep8~=2.3.1
+build~=1.2.1
+grpcio-tools~=1.62.2
 pip-tools~=7.4.1
-pre-commit~=4.0.1
-pyright~=1.1.397
-pytest~=8.3.4
-pytest-asyncio~=0.25.3
-pytest-aiohttp==1.1.0
-ruff~=0.11.1
-setuptools~=70.0.0
+pyright~=1.1.376
+pytest~=8.3.2
+setuptools~=72.2.0
 setuptools_scm~=8.1.0
-python-dotenv~=1.0.1
--- a/docs/api/Makefile
+++ b/docs/api/Makefile
@@ -1,20 +0,0 @@
-# Minimal makefile for Sphinx documentation
-#
-
-# You can set these variables from the command line, and also
-# from the environment for the first two.
-SPHINXOPTS    ?=
-SPHINXBUILD   ?= sphinx-build
-SOURCEDIR     = .
-BUILDDIR      = _build
-
-# Put it first so that "make" without argument is like "make help".
-help:
-	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
-
-.PHONY: help Makefile
-
-# Catch-all target: route all unknown targets to Sphinx using the new
-# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
-%: Makefile
-	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
--- a/docs/api/README.md
+++ b/docs/api/README.md
@@ -1,109 +0,0 @@
-# Pipecat Documentation
-
-This directory contains the source files for auto-generating Pipecat's server API reference documentation.
-
-## Setup
-
-1. Install documentation dependencies:
-
-```bash
-pip install -r requirements.txt
-```
-
-2. Make the build scripts executable:
-
-```bash
-chmod +x build-docs.sh rtd-test.py
-```
-
-## Building Documentation
-
-From this directory, you can build the documentation in several ways:
-
-### Local Build
-
-```bash
-# Using the build script (automatically opens docs when done)
-./build-docs.sh
-
-# Or directly with sphinx-build
-sphinx-build -b html . _build/html -W --keep-going
-```
-
-### ReadTheDocs Test Build
-
-To test the documentation build process exactly as it would run on ReadTheDocs:
-
-```bash
-./rtd-test.py
-```
-
-This script:
-
- Creates a fresh virtual environment
- Installs all dependencies as specified in requirements files
- Handles conflicting dependencies (like grpcio versions for Riva and PlayHT)
- Builds the documentation in an isolated environment
- Provides detailed logging of the build process
-
-Use this script to verify your documentation will build correctly on ReadTheDocs before pushing changes.
-
-## Viewing Documentation
-
-The built documentation will be available at `_build/html/index.html`. To open:
-
-```bash
-# On MacOS
-open _build/html/index.html
-
-# On Linux
-xdg-open _build/html/index.html
-
-# On Windows
-start _build/html/index.html
-```
-
-## Directory Structure
-
-```
-.
-├── api/            # Auto-generated API documentation
-├── _build/         # Built documentation
-├── _static/        # Static files (images, css, etc.)
-├── conf.py         # Sphinx configuration
-├── index.rst       # Main documentation entry point
-├── requirements-base.txt    # Base documentation dependencies
-├── requirements-riva.txt    # Riva-specific dependencies
-├── requirements-playht.txt  # PlayHT-specific dependencies
-├── build-docs.sh   # Local build script
-└── rtd-test.py     # ReadTheDocs test build script
-```
-
-## Notes
-
- Documentation is auto-generated from Python docstrings
- Service modules are automatically detected and included
- The build process matches our ReadTheDocs configuration
- Warnings are treated as errors (-W flag) to maintain consistency
- The --keep-going flag ensures all errors are reported
- Dependencies are split into multiple requirements files to handle version conflicts
-
-## Troubleshooting
-
-If you encounter missing service modules:
-
-1. Verify the service is installed with its extras: `pip install pipecat-ai[service-name]`
-2. Check the build logs for import errors
-3. Ensure the service module is properly initialized in the package
-4. Run `./rtd-test.py` to test in an isolated environment matching ReadTheDocs
-
-For dependency conflicts:
-
-1. Check the requirements files for version specifications
-2. Use `rtd-test.py` to verify dependency resolution
-3. Consider adding service-specific requirements files if needed
-
-For more information:
-
- [ReadTheDocs Configuration](.readthedocs.yaml)
- [Sphinx Documentation](https://www.sphinx-doc.org/)
--- a/docs/api/build-docs.sh
+++ b/docs/api/build-docs.sh
@@ -1,10 +0,0 @@
-#!/bin/bash
-
-# Clean previous build
-rm -rf _build
-
-# Build docs matching ReadTheDocs configuration
-sphinx-build -b html -d _build/doctrees . _build/html -W --keep-going
-
-# Open docs (MacOS)
-open _build/html/index.html
--- a/docs/api/conf.py
+++ b/docs/api/conf.py
@@ -1,336 +0,0 @@
-import logging
-import sys
-from pathlib import Path
-
-# Configure logging
-logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
-logger = logging.getLogger("sphinx-build")
-
-# Add source directory to path
-docs_dir = Path(__file__).parent
-project_root = docs_dir.parent.parent
-sys.path.insert(0, str(project_root / "src"))
-
-# Project information
-project = "pipecat-ai"
-copyright = "2024, Daily"
-author = "Daily"
-
-# General configuration
-extensions = [
-    "sphinx.ext.autodoc",
-    "sphinx.ext.napoleon",
-    "sphinx.ext.viewcode",
-    "sphinx.ext.intersphinx",
-]
-
-# Napoleon settings
-napoleon_google_docstring = True
-napoleon_numpy_docstring = False
-napoleon_include_init_with_doc = True
-
-# AutoDoc settings
-autodoc_default_options = {
-    "members": True,
-    "member-order": "bysource",
-    "special-members": "__init__",
-    "undoc-members": True,
-    "exclude-members": "__weakref__",
-    "no-index": True,
-    "show-inheritance": True,
-}
-
-# Mock imports for optional dependencies
-autodoc_mock_imports = [
-    "riva",
-    "livekit",
-    "pyht",  # Base PlayHT package
-    "pyht.async_client",  # PlayHT specific imports
-    "pyht.client",
-    "pyht.protos",
-    "pyht.protos.api_pb2",
-    "pipecat_ai_playht",  # PlayHT wrapper
-    "aiortc",
-    "aiortc.mediastreams",
-    "cv2",
-    "av",
-    "pyneuphonic",
-    "mem0",
-    "mlx_whisper",
-    "anthropic",
-    "assemblyai",
-    "boto3",
-    "azure",
-    "cartesia",
-    "deepgram",
-    "elevenlabs",
-    "fal",
-    "gladia",
-    "google",
-    "krisp",
-    "langchain",
-    "lmnt",
-    "noisereduce",
-    "openai",
-    "openpipe",
-    "simli",
-    "soundfile",
-    "pipecat_ai_krisp",
-    "pyaudio",
-    "_tkinter",
-    "tkinter",
-    "daily",
-    "daily_python",
-    "pydantic.BaseModel",
-    "pydantic.Field",
-    "pydantic._internal._model_construction",
-    "pydantic._internal._fields",
-    # Moondream dependencies
-    "torch",
-    "transformers",
-    "intel_extension_for_pytorch",
-    # Ultravox dependencies
-    "huggingface_hub",
-    "vllm",
-    "vllm.engine.arg_utils",
-    "transformers.AutoTokenizer",
-    # 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",
-    "riva.client.ASRService",
-    "riva.client.StreamingRecognitionConfig",
-    "riva.client.RecognitionConfig",
-    "riva.client.AudioEncoding",
-    "riva.client.proto.riva_tts_pb2",
-    "riva.client.SpeechSynthesisService",
-    # 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",
-]
-
-# HTML output settings
-html_theme = "sphinx_rtd_theme"
-html_static_path = ["_static"]
-autodoc_typehints = "description"
-html_show_sphinx = False
-
-
-def verify_modules():
-    """Verify that required modules are available."""
-    required_modules = {
-        "services": [
-            "assemblyai",
-            "aws",
-            "cartesia",
-            "deepgram",
-            "google",
-            "lmnt",
-            "riva",
-            "simli",
-        ],
-        "serializers": ["livekit"],
-        "vad": ["silero", "vad_analyzer"],
-        "transports": {
-            "services": ["daily", "livekit"],
-            "local": ["audio", "tk"],
-            "network": ["fastapi_websocket", "websocket_server"],
-        },
-    }
-
-    # Skip importing modules that are in autodoc_mock_imports
-    skipped_modules = set(autodoc_mock_imports)
-
-    missing = []
-    for category, modules in required_modules.items():
-        if isinstance(modules, dict):
-            # Handle nested structure
-            for subcategory, submodules in modules.items():
-                for module in submodules:
-                    # Check if module is in autodoc_mock_imports
-                    if (
-                        f"pipecat.{category}.{subcategory}.{module}" in skipped_modules
-                        or module in skipped_modules
-                    ):
-                        logger.info(
-                            f"Skipping import of mocked module: pipecat.{category}.{subcategory}.{module}"
-                        )
-                        continue
-
-                    try:
-                        __import__(f"pipecat.{category}.{subcategory}.{module}")
-                        logger.info(
-                            f"Successfully imported pipecat.{category}.{subcategory}.{module}"
-                        )
-                    except (ImportError, TypeError, NameError) as e:
-                        missing.append(f"pipecat.{category}.{subcategory}.{module}")
-                        logger.warning(
-                            f"Optional module not available: pipecat.{category}.{subcategory}.{module} - {str(e)}"
-                        )
-        else:
-            # Handle flat structure
-            for module in modules:
-                # Check if module is in autodoc_mock_imports
-                if f"pipecat.{category}.{module}" in skipped_modules or module in skipped_modules:
-                    logger.info(f"Skipping import of mocked module: pipecat.{category}.{module}")
-                    continue
-
-                try:
-                    __import__(f"pipecat.{category}.{module}")
-                    logger.info(f"Successfully imported pipecat.{category}.{module}")
-                except (ImportError, TypeError, NameError) as e:
-                    missing.append(f"pipecat.{category}.{module}")
-                    logger.warning(
-                        f"Optional module not available: pipecat.{category}.{module} - {str(e)}"
-                    )
-
-    if missing:
-        logger.warning(f"Some optional modules are not available: {missing}")
-
-
-def clean_title(title: str) -> str:
-    """Automatically clean module titles."""
-    # Remove everything after space (like 'module', 'processor', etc.)
-    title = title.split(" ")[0]
-
-    # Get the last part of the dot-separated path
-    parts = title.split(".")
-    title = parts[-1]
-
-    # Special cases for service names and common acronyms
-    special_cases = {
-        "ai": "AI",
-        "aws": "AWS",
-        "api": "API",
-        "vad": "VAD",
-        "assemblyai": "AssemblyAI",
-        "deepgram": "Deepgram",
-        "elevenlabs": "ElevenLabs",
-        "openai": "OpenAI",
-        "openpipe": "OpenPipe",
-        "playht": "PlayHT",
-        "xtts": "XTTS",
-        "lmnt": "LMNT",
-    }
-
-    # Check if the entire title is a special case
-    if title.lower() in special_cases:
-        return special_cases[title.lower()]
-
-    # Otherwise, capitalize each word
-    words = title.split("_")
-    cleaned_words = []
-    for word in words:
-        if word.lower() in special_cases:
-            cleaned_words.append(special_cases[word.lower()])
-        else:
-            cleaned_words.append(word.capitalize())
-
-    return " ".join(cleaned_words)
-
-
-def setup(app):
-    """Generate API documentation during Sphinx build."""
-    from sphinx.ext.apidoc import main
-
-    docs_dir = Path(__file__).parent
-    project_root = docs_dir.parent.parent
-    output_dir = str(docs_dir / "api")
-    source_dir = str(project_root / "src" / "pipecat")
-
-    # Clean existing files
-    if Path(output_dir).exists():
-        import shutil
-
-        shutil.rmtree(output_dir)
-        logger.info(f"Cleaned existing documentation in {output_dir}")
-
-    logger.info(f"Generating API documentation...")
-    logger.info(f"Output directory: {output_dir}")
-    logger.info(f"Source directory: {source_dir}")
-
-    excludes = [
-        str(project_root / "src/pipecat/pipeline/to_be_updated"),
-        str(project_root / "src/pipecat/processors/gstreamer"),
-        str(project_root / "src/pipecat/services/to_be_updated"),
-        str(project_root / "src/pipecat/vad"),  # deprecated
-        "**/test_*.py",
-        "**/tests/*.py",
-    ]
-
-    try:
-        main(
-            [
-                "-f",  # Force overwriting
-                "-e",  # Don't generate empty files
-                "-M",  # Put module documentation before submodule documentation
-                "--no-toc",  # Don't create a table of contents file
-                "--separate",  # Put documentation for each module in its own page
-                "--module-first",  # Module documentation before submodule documentation
-                "--implicit-namespaces",  # Added: Handle implicit namespace packages
-                "-o",
-                output_dir,
-                source_dir,
-            ]
-            + excludes
-        )
-
-        logger.info("API documentation generated successfully!")
-
-        # Process generated RST files to update titles
-        for rst_file in Path(output_dir).glob("**/*.rst"):  # Changed to recursive glob
-            content = rst_file.read_text()
-            lines = content.split("\n")
-
-            # Find and clean up the title
-            if lines and "=" in lines[1]:  # Title is typically the first line
-                old_title = lines[0]
-                new_title = clean_title(old_title)
-                content = content.replace(old_title, new_title)
-                rst_file.write_text(content)
-                logger.info(f"Updated title: {old_title} -> {new_title}")
-
-    except Exception as e:
-        logger.error(f"Error generating API documentation: {e}", exc_info=True)
-
-
-# Run module verification
-verify_modules()
--- a/docs/api/index.rst
+++ b/docs/api/index.rst
@@ -1,81 +0,0 @@
-Pipecat API Reference Docs
-==========================
-
-Welcome to Pipecat's API reference documentation!
-
-Pipecat is an open source framework for building voice and multimodal assistants.
-It provides a flexible pipeline architecture for connecting various AI services,
-audio processing, and transport layers.
-
-Quick Links
-----------
-
-* `GitHub Repository <https://github.com/pipecat-ai/pipecat>`_
-* `Website <https://pipecat.ai>`_
-
-API Reference
-------------
-
-Core Components
-~~~~~~~~~~~~~~~
-
-* :mod:`Frames <pipecat.frames>`
-* :mod:`Processors <pipecat.processors>`
-* :mod:`Pipeline <pipecat.pipeline>`
-
-Audio Processing
-~~~~~~~~~~~~~~~~
-
-* :mod:`Audio <pipecat.audio>`
-
-Services
-~~~~~~~~
-
-* :mod:`Services <pipecat.services>`
-
-Transport & Serialization
-~~~~~~~~~~~~~~~~~~~~~~~~~
-
-* :mod:`Transports <pipecat.transports>`
-   * :mod:`Local <pipecat.transports.local>`
-   * :mod:`Network <pipecat.transports.network>`
-   * :mod:`Services <pipecat.transports.services>`
-* :mod:`Serializers <pipecat.serializers>`
-
-Utilities
-~~~~~~~~~
-
-* :mod:`Adapters <pipecat.adapters>`
-* :mod:`Clocks <pipecat.clocks>`
-* :mod:`Metrics <pipecat.metrics>`
-* :mod:`Observers <pipecat.observers>`
-* :mod:`Sync <pipecat.sync>`
-* :mod:`Transcriptions <pipecat.transcriptions>`
-* :mod:`Utils <pipecat.utils>`
-
-.. toctree::
-   :maxdepth: 3
-   :caption: API Reference
-   :hidden:
-
-   Adapters <api/pipecat.adapters>
-   Audio <api/pipecat.audio>
-   Clocks <api/pipecat.clocks>
-   Frames <api/pipecat.frames>
-   Metrics <api/pipecat.metrics>
-   Observers <api/pipecat.observers>
-   Pipeline <api/pipecat.pipeline>
-   Processors <api/pipecat.processors>
-   Serializers <api/pipecat.serializers>
-   Services <api/pipecat.services>
-   Sync <api/pipecat.sync>
-   Transcriptions <api/pipecat.transcriptions>
-   Transports <api/pipecat.transports>
-   Utils <api/pipecat.utils>
-
-Indices and tables
-==================
-
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
--- a/docs/api/make.bat
+++ b/docs/api/make.bat
@@ -1,35 +0,0 @@
-@ECHO OFF
-
-pushd %~dp0
-
-REM Command file for Sphinx documentation
-
-if "%SPHINXBUILD%" == "" (
-	set SPHINXBUILD=sphinx-build
-)
-set SOURCEDIR=.
-set BUILDDIR=_build
-
-%SPHINXBUILD% >NUL 2>NUL
-if errorlevel 9009 (
-	echo.
-	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
-	echo.installed, then set the SPHINXBUILD environment variable to point
-	echo.to the full path of the 'sphinx-build' executable. Alternatively you
-	echo.may add the Sphinx directory to PATH.
-	echo.
-	echo.If you don't have Sphinx installed, grab it from
-	echo.https://www.sphinx-doc.org/
-	exit /b 1
-)
-
-if "%1" == "" goto help
-
-%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
-goto end
-
-:help
-%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
-
-:end
-popd
--- a/docs/api/requirements.txt
+++ b/docs/api/requirements.txt
@@ -1,54 +0,0 @@
-# Sphinx dependencies
-sphinx>=8.1.3
-sphinx-rtd-theme
-sphinx-markdown-builder
-sphinx-autodoc-typehints
-toml
-
-# Install all extras individually to ensure they're properly resolved
-pipecat-ai[anthropic]
-pipecat-ai[assemblyai]
-pipecat-ai[aws]
-pipecat-ai[azure]
-pipecat-ai[canonical]
-pipecat-ai[cartesia]
-pipecat-ai[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[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[silero]
-pipecat-ai[simli]
-pipecat-ai[soundfile]
-pipecat-ai[tavus]
-pipecat-ai[together]
-# pipecat-ai[ultravox] # Mocked
-# pipecat-ai[webrtc] # Mocked
-pipecat-ai[websocket]
-pipecat-ai[whisper]
--- a/docs/api/rtd-test.sh
+++ b/docs/api/rtd-test.sh
@@ -1,38 +0,0 @@
-#!/bin/bash
-set -e
-
-# Configuration
-DOCS_DIR=$(pwd)
-PROJECT_ROOT=$(cd ../../ && pwd)
-TEST_DIR="/tmp/rtd-test-$(date +%Y%m%d_%H%M%S)"
-
-echo "Creating test directory: $TEST_DIR"
-mkdir -p "$TEST_DIR"
-cd "$TEST_DIR"
-
-# Create virtual environment
-python -m venv venv
-source venv/bin/activate
-
-echo "Installing build dependencies..."
-pip install --upgrade pip wheel setuptools
-
-echo "Installing documentation dependencies..."
-pip install -r "$DOCS_DIR/requirements.txt"
-
-echo "Building documentation..."
-cd "$DOCS_DIR"
-sphinx-build -b html . "_build/html"
-
-echo "Build complete. Check _build/html directory for output."
-
-# Print summary
-echo -e "\n=== Build Summary ==="
-echo "Documentation: $DOCS_DIR/_build/html"
-echo "Test environment: $TEST_DIR"
-echo -e "\nTo view the documentation:"
-echo "open $DOCS_DIR/_build/html/index.html"
-
-# Print installed packages for verification
-echo -e "\n=== Installed Packages ==="
-pip freeze | grep -E "sphinx|pipecat"
--- a/docs/frame.md
+++ b/docs/frame.md
@@ -1,110 +0,0 @@
-# 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.
--- a/dot-env.template
+++ b/dot-env.template
@@ -1,11 +1,6 @@
 # Anthropic
 ANTHROPIC_API_KEY=...

-# AWS
-AWS_SECRET_ACCESS_KEY=...
-AWS_ACCESS_KEY_ID=...
-AWS_REGION=...
-
 # Azure
 AZURE_SPEECH_REGION=...
 AZURE_SPEECH_API_KEY=...
@@ -18,9 +13,6 @@ AZURE_DALLE_API_KEY=...
 AZURE_DALLE_ENDPOINT=https://...
 AZURE_DALLE_MODEL=...

-# Cartesia
-CARTESIA_API_KEY=...
-
 # Daily
 DAILY_API_KEY=...
 DAILY_SAMPLE_ROOM_URL=https://...
@@ -29,9 +21,6 @@ DAILY_SAMPLE_ROOM_URL=https://...
 ELEVENLABS_API_KEY=...
 ELEVENLABS_VOICE_ID=...

-# Neuphonic
-NEUPHONIC_API_KEY=...
-
 # Fal
 FAL_KEY=...

@@ -52,52 +41,5 @@ PLAY_HT_API_KEY=...
 # OpenAI
 OPENAI_API_KEY=...

-# OpenPipe
+#OpenPipe
 OPENPIPE_API_KEY=...
-
-# Tavus
-TAVUS_API_KEY=...
-TAVUS_REPLICA_ID=...
-TAVUS_PERSONA_ID=...
-
-# Simli
-SIMLI_API_KEY=...
-SIMLI_FACE_ID=...
-
-# Krisp
-KRISP_MODEL_PATH=...
-
-# DeepSeek
-DEEPSEEK_API_KEY=...
-
-# Groq
-GROQ_API_KEY=...
-
-# Grok
-GROK_API_KEY=...
-
-# Together.ai
-TOGETHER_API_KEY=...
-
-# Cerebras
-CEREBRAS_API_KEY=...
-
-# Fish Audio
-FISH_API_KEY=...
-
-# Assembly AI
-ASSEMBLYAI_API_KEY=...
-
-# OpenRouter
-OPENROUTER_API_KEY=...
-
-# Piper
-PIPER_BASE_URL=...
-
-# Smart turn
-LOCAL_SMART_TURN_MODEL_PATH=
-FAL_SMART_TURN_API_KEY=...
-
-# Twilio
-TWILIO_ACCOUNT_SID=
-TWILIO_AUTH_TOKEN=
--- a/examples/README.md
+++ b/examples/README.md
@@ -39,10 +39,9 @@ Next, follow the steps in the README for each demo.
 | [Translation Chatbot](translation-chatbot)   | Listens for user speech, then translates that speech to Spanish and speaks the translation back. Demonstrates multi-participant use-cases. | Deepgram, Azure, OpenAI, Daily, Daily Prebuilt UI                 |
 | [Moondream Chatbot](moondream-chatbot)       | Demonstrates how to add vision capabilities to GPT4. **Note: works best with a GPU**                                                       | Deepgram, ElevenLabs, OpenAI, Moondream, Daily, Daily Prebuilt UI |
 | [Patient intake](patient-intake)             | A chatbot that can call functions in response to user input.                                                                               | Deepgram, ElevenLabs, OpenAI, Daily, Daily Prebuilt UI            |
-| [Phone Chatbot](phone-chatbot)             | A chatbot that connects to PSTN/SIP phone calls, powered by Daily or Twilio.                                                                    | Deepgram, ElevenLabs, OpenAI, Daily, Twilio                       |
+| [Dialin Chatbot](dialin-chatbot)             | A chatbot that connects to an incoming phone call from Daily or Twilio.                                                                    | Deepgram, ElevenLabs, OpenAI, Daily, Twilio                       |
 | [Twilio Chatbot](twilio-chatbot)             | A chatbot that connects to an incoming phone call from Twilio.                                                                             | Deepgram, ElevenLabs, OpenAI, Daily, Twilio                       |
 | [studypal](studypal)                         | A chatbot to have a conversation about any article on the web                                                                              |                                                                   |
-| [WebSocket Chatbot Server](websocket-server) | A real-time websocket server that handles audio streaming and bot interactions with speech-to-text and text-to-speech capabilities. | Cartesia, Deepgram, OpenAI, Websockets |

 > [!IMPORTANT]
 > These example projects use Daily as a WebRTC transport and can be joined using their hosted Prebuilt UI.
--- a/examples/bot-ready-signalling/README.md
+++ b/examples/bot-ready-signalling/README.md
@@ -1,45 +0,0 @@
-# Bot ready signaling
-
-A simple Pipecat example demonstrating how to handle signaling between the client and the bot, 
-ensuring that the bot starts sending audio only when the client is available, 
-thereby avoiding the risk of cutting off the beginning of the audio.
-
-## Quick Start
-
-### First, start the bot server:
-
-1. Navigate to the server directory:
-   ```bash
-   cd server
-   ```
-2. Create and activate a virtual environment:
-   ```bash
-   python3 -m venv venv
-   source venv/bin/activate  # On Windows: venv\Scripts\activate
-   ```
-3. Install requirements:
-   ```bash
-   pip install -r requirements.txt
-   ```
-4. Copy env.example to .env and configure:
-   - Add your API keys
-5. Start the server:
-   ```bash
-   python server.py
-   ```
-
-### Next, connect using the client app:
-
-For client-side setup, refer to the [JavaScript Guide](client/javascript/README.md).
-
-## Important Note
-
-Ensure the bot server is running before using any client implementations.
-
-## Requirements
-
- Python 3.10+
- Node.js 16+ (for JavaScript)
- Daily API key
- Cartesia API key
- Modern web browser with WebRTC support
--- a/examples/bot-ready-signalling/client/javascript/README.md
+++ b/examples/bot-ready-signalling/client/javascript/README.md
@@ -1,27 +0,0 @@
-# JavaScript Implementation
-
-Basic implementation using the [Pipecat JavaScript SDK](https://docs.pipecat.ai/client/js/introduction).
-
-## Setup
-
-1. Run the bot server. See the [server README](../../README).
-
-2. Navigate to the `client/javascript` directory:
-
-```bash
-cd client/javascript
-```
-
-3. Install dependencies:
-
-```bash
-npm install
-```
-
-4. Run the client app:
-
-```
-npm run dev
-```
-
-5. Visit http://localhost:5173 in your browser.
--- a/examples/bot-ready-signalling/client/javascript/index.html
+++ b/examples/bot-ready-signalling/client/javascript/index.html
@@ -1,34 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-  <meta charset="UTF-8">
-  <meta name="viewport" content="width=device-width, initial-scale=1.0">
-  <title>AI Chatbot</title>
-</head>
-
-<body>
-  <div class="container">
-    <div class="status-bar">
-      <div class="status">
-        Status: <span id="connection-status">Disconnected</span>
-      </div>
-      <div class="controls">
-        <button id="connect-btn">Connect</button>
-        <button id="disconnect-btn" disabled>Disconnect</button>
-      </div>
-    </div>
-
-    <audio id="bot-audio" autoplay></audio>
-
-    <div class="debug-panel">
-      <h3>Debug Info</h3>
-      <div id="debug-log"></div>
-    </div>
-  </div>
-
-  <script type="module" src="/src/app.js"></script>
-  <link rel="stylesheet" href="/src/style.css">
-</body>
-
-</html>
--- a/examples/bot-ready-signalling/client/javascript/package-lock.json
+++ b/examples/bot-ready-signalling/client/javascript/package-lock.json
--- a/examples/bot-ready-signalling/client/javascript/package.json
+++ b/examples/bot-ready-signalling/client/javascript/package.json
@@ -1,20 +0,0 @@
-{
-  "name": "client",
-  "version": "1.0.0",
-  "main": "index.js",
-  "scripts": {
-    "dev": "vite",
-    "build": "vite build",
-    "preview": "vite preview"
-  },
-  "keywords": [],
-  "author": "",
-  "license": "ISC",
-  "description": "",
-  "devDependencies": {
-    "vite": "^6.0.9"
-  },
-  "dependencies": {
-    "@daily-co/daily-js": "0.74.0"
-  }
-}
--- a/examples/bot-ready-signalling/client/javascript/src/app.js
+++ b/examples/bot-ready-signalling/client/javascript/src/app.js
@@ -1,216 +0,0 @@
-/**
- * Copyright (c) 2024–2025, Daily
- *
- * SPDX-License-Identifier: BSD 2-Clause License
- */
-
-import Daily from "@daily-co/daily-js";
-
-/**
- * ChatbotClient handles the connection and media management for a real-time
- * voice interaction with an AI bot.
- */
-class ChatbotClient {
-  constructor() {
-    // Initialize client state
-    this.dailyCallObject = null;
-    this.setupDOMElements();
-    this.setupEventListeners();
-  }
-
-  /**
-   * Set up references to DOM elements and create necessary media elements
-   */
-  setupDOMElements() {
-    // Get references to UI control elements
-    this.connectBtn = document.getElementById('connect-btn');
-    this.disconnectBtn = document.getElementById('disconnect-btn');
-    this.statusSpan = document.getElementById('connection-status');
-    this.debugLog = document.getElementById('debug-log');
-
-    // Create an audio element for bot's voice output
-    this.botAudio = document.createElement('audio');
-    this.botAudio.autoplay = true;
-    this.botAudio.playsInline = true;
-    document.body.appendChild(this.botAudio);
-  }
-
-  /**
-   * Set up event listeners for connect/disconnect buttons
-   */
-  setupEventListeners() {
-    this.connectBtn.addEventListener('click', () => this.connect());
-    this.disconnectBtn.addEventListener('click', () => this.disconnect());
-  }
-
-  /**
-   * Add a timestamped message to the debug log
-   */
-  log(message) {
-    const entry = document.createElement('div');
-    entry.textContent = `${new Date().toISOString()} - ${message}`;
-
-    // Add styling based on message type
-    if (message.startsWith('User: ')) {
-      entry.style.color = '#2196F3'; // blue for user
-    } else if (message.startsWith('Bot: ')) {
-      entry.style.color = '#4CAF50'; // green for bot
-    }
-
-    this.debugLog.appendChild(entry);
-    this.debugLog.scrollTop = this.debugLog.scrollHeight;
-    console.log(message);
-  }
-
-  /**
-   * Update the connection status display
-   */
-  updateStatus(status) {
-    this.statusSpan.textContent = status;
-    this.log(`Status: ${status}`);
-  }
-
-  handleEventToConsole (evt) {
-    this.log(`Received event: ${evt.action}`);
-  };
-
-  /**
-   * Set up listeners for track events (start/stop)
-   * This handles new tracks being added during the session
-   */
-  setupTrackListeners() {
-    if (!this.dailyCallObject) return;
-
-    this.dailyCallObject.on("joined-meeting", () => {
-      this.updateStatus('Connected');
-      this.connectBtn.disabled = true;
-      this.disconnectBtn.disabled = false;
-      this.log('Client connected');
-    });
-    this.dailyCallObject.on("track-started", (evt) => {
-      if (evt.track.kind === "audio" && evt.participant.local === false) {
-        this.log("Audio track started.")
-        this.setupAudioTrack(evt.track);
-      }
-    });
-    this.dailyCallObject.on("track-stopped", this.handleEventToConsole.bind(this));
-    this.dailyCallObject.on("participant-joined", this.handleEventToConsole.bind(this));
-    this.dailyCallObject.on("participant-updated", this.handleEventToConsole.bind(this));
-    this.dailyCallObject.on("participant-left", () => {
-      // When the bot leaves, we are also disconnecting from the call
-      this.disconnect()
-    });
-    this.dailyCallObject.on("left-meeting", () => {
-      this.updateStatus('Disconnected');
-      this.connectBtn.disabled = false;
-      this.disconnectBtn.disabled = true;
-      this.log('Client disconnected');
-    });
-    this.dailyCallObject.on("error", this.handleEventToConsole.bind(this));
-  }
-
-  /**
-   * Set up an audio track for playback
-   * Handles both initial setup and track updates
-   */
-  setupAudioTrack(track) {
-    this.log(`Setting up audio track, track state: ${track.readyState}, muted: ${track.muted}`);
-
-    // Check if we're already playing this track
-    if (this.botAudio.srcObject) {
-      const oldTrack = this.botAudio.srcObject.getAudioTracks()[0];
-      if (oldTrack?.id === track.id) return;
-    }
-    // Create a new MediaStream with the track and set it as the audio source
-    this.botAudio.srcObject = new MediaStream([track]);
-    this.botAudio.onplaying = async (event) => {
-      this.log("onplaying")
-      this.log("Will send the audio message to play the audio at the next tick")
-      this.dailyCallObject.sendAppMessage("playable")
-    }
-  }
-
-  async fetchRoomInfo() {
-    let connectUrl = '/connect'
-    let res = await fetch(connectUrl, {
-      method: "POST",
-      mode: "cors",
-      headers: new Headers({
-        "Content-Type": "application/json"
-      }),
-    })
-    if (res.ok) {
-      return res.json();
-    }
-  }
-
-  /**
-   * Initialize and connect to the bot
-   * This sets up the RTVI client, initializes devices, and establishes the connection
-   */
-  async connect() {
-    try {
-      // Initialize the client
-      this.dailyCallObject = Daily.createCallObject({
-        subscribeToTracksAutomatically: true,
-      });
-
-      // Set up listeners for media track events
-      this.setupTrackListeners();
-
-      this.log('Creating the bot...');
-      let roomInfo = await this.fetchRoomInfo()
-
-      // Connect to the bot
-      this.log('Connecting to bot...');
-      // Only for making debugger easier
-      window.callObject = this.dailyCallObject;
-      await this.dailyCallObject.join({
-        url: roomInfo.room_url,
-      });
-
-      this.log('Connection complete');
-    } catch (error) {
-      // Handle any errors during connection
-      this.log(`Error connecting: ${error.message}`);
-      this.log(`Error stack: ${error.stack}`);
-      this.updateStatus('Error');
-
-      // Clean up if there's an error
-      if (this.dailyCallObject) {
-        try {
-          await this.dailyCallObject.leave();
-        } catch (disconnectError) {
-          this.log(`Error during disconnect: ${disconnectError.message}`);
-        }
-      }
-    }
-  }
-
-  /**
-   * Disconnect from the bot and clean up media resources
-   */
-  async disconnect() {
-    if (this.dailyCallObject) {
-      try {
-        // Disconnect the RTVI client
-        await this.dailyCallObject.leave();
-        await this.dailyCallObject.destroy();
-        this.dailyCallObject = null;
-
-        // Clean up audio
-        if (this.botAudio.srcObject) {
-          this.botAudio.srcObject.getTracks().forEach((track) => track.stop());
-          this.botAudio.srcObject = null;
-        }
-      } catch (error) {
-        this.log(`Error disconnecting: ${error.message}`);
-      }
-    }
-  }
-}
-
-// Initialize the client when the page loads
-window.addEventListener('DOMContentLoaded', () => {
-  new ChatbotClient();
-});
--- a/examples/bot-ready-signalling/client/javascript/src/style.css
+++ b/examples/bot-ready-signalling/client/javascript/src/style.css
@@ -1,98 +0,0 @@
-body {
-  margin: 0;
-  padding: 20px;
-  font-family: Arial, sans-serif;
-  background-color: #f0f0f0;
-}
-
-.container {
-  max-width: 1200px;
-  margin: 0 auto;
-}
-
-.status-bar {
-  display: flex;
-  justify-content: space-between;
-  align-items: center;
-  padding: 10px;
-  background-color: #fff;
-  border-radius: 8px;
-  margin-bottom: 20px;
-}
-
-.controls button {
-  padding: 8px 16px;
-  margin-left: 10px;
-  border: none;
-  border-radius: 4px;
-  cursor: pointer;
-}
-
-#connect-btn {
-  background-color: #4caf50;
-  color: white;
-}
-
-#disconnect-btn {
-  background-color: #f44336;
-  color: white;
-}
-
-button:disabled {
-  opacity: 0.5;
-  cursor: not-allowed;
-}
-
-.main-content {
-  background-color: #fff;
-  border-radius: 8px;
-  padding: 20px;
-  margin-bottom: 20px;
-}
-
-.bot-container {
-  display: flex;
-  flex-direction: column;
-  align-items: center;
-}
-
-#bot-video-container {
-  width: 640px;
-  height: 360px;
-  background-color: #e0e0e0;
-  border-radius: 8px;
-  margin: 20px auto;
-  overflow: hidden;
-  display: flex;
-  align-items: center;
-  justify-content: center;
-}
-
-#bot-video-container video {
-  width: 100%;
-  height: 100%;
-  object-fit: cover;
-}
-
-.debug-panel {
-  background-color: #fff;
-  border-radius: 8px;
-  padding: 20px;
-}
-
-.debug-panel h3 {
-  margin: 0 0 10px 0;
-  font-size: 16px;
-  font-weight: bold;
-}
-
-#debug-log {
-  height: 200px;
-  overflow-y: auto;
-  background-color: #f8f8f8;
-  padding: 10px;
-  border-radius: 4px;
-  font-family: monospace;
-  font-size: 12px;
-  line-height: 1.4;
-}
--- a/examples/bot-ready-signalling/client/javascript/vite.config.js
+++ b/examples/bot-ready-signalling/client/javascript/vite.config.js
@@ -1,13 +0,0 @@
-import { defineConfig } from 'vite';
-
-export default defineConfig({
-    server: {
-        proxy: {
-            // Proxy /api requests to the backend server
-            '/connect': {
-                target: 'http://0.0.0.0:7860', // Replace with your backend URL
-                changeOrigin: true,
-            },
-        },
-    },
-});
--- a/examples/bot-ready-signalling/client/react-native/.nvmrc
+++ b/examples/bot-ready-signalling/client/react-native/.nvmrc
@@ -1 +0,0 @@
-22.14
--- a/examples/bot-ready-signalling/client/react-native/README.md
+++ b/examples/bot-ready-signalling/client/react-native/README.md
@@ -1,60 +0,0 @@
-# React Native Implementation
-
-Basic implementation using the [Pipecat React Native SDK](https://docs.pipecat.ai/client/react-native/introduction).
-
-## Usage
-
-### Expo requirements
-
-This project cannot be used with an [Expo Go](https://docs.expo.dev/workflow/expo-go/) app because [it requires custom native code](https://docs.expo.io/workflow/customizing/).
-
-When a project requires custom native code or a config plugin, we need to transition from using [Expo Go](https://docs.expo.dev/workflow/expo-go/) 
-to a [development build](https://docs.expo.dev/development/introduction/).
-
-More details about the custom native code used by this demo can be found in [rn-daily-js-expo-config-plugin](https://github.com/daily-co/rn-daily-js-expo-config-plugin).
-
-### Building remotely
-
-If you do not have experience with Xcode and Android Studio builds or do not have them installed locally on your computer, you will need to follow [this guide from Expo to use EAS Build](https://docs.expo.dev/development/create-development-builds/#create-and-install-eas-build).
-
-### Building locally
-
-You will need to have installed locally on your computer:
- [Xcode](https://developer.apple.com/xcode/) to build for iOS;
- [Android Studio](https://developer.android.com/studio) to build for Android;
-
-#### Install the demo dependencies
-
-```bash
-# Use the version of node specified in .nvmrc
-nvm i
-
-# Install dependencies
-npm i
-
-# Before a native app can be compiled, the native source code must be generated.
-npx expo prebuild
-
-# Configure the environment variable to connect to the local server
-cp env.example .env
-# edit .env and add your local ip address, for example: http://192.168.1.16:7860
-```
-
-#### Running on Android
-
-After plugging in an Android device [configured for debugging](https://developer.android.com/studio/debug/dev-options), run the following command:
-
-```
-npm run android
-```
-
-#### Running on iOS
-
-Run the following command:
-
-```
-npm run ios
-```
-
-#### Connect to the server
-Use the http://localhost:5173 in your app.
--- a/examples/bot-ready-signalling/client/react-native/app.json
+++ b/examples/bot-ready-signalling/client/react-native/app.json
@@ -1,75 +0,0 @@
-{
-  "expo": {
-    "name": "bot-ready-rn",
-    "slug": "bot-ready-rn",
-    "version": "1.0.0",
-    "orientation": "portrait",
-    "icon": "./assets/icon.png",
-    "userInterfaceStyle": "light",
-    "splash": {
-      "image": "./assets/splash.png",
-      "resizeMode": "contain",
-      "backgroundColor": "#ffffff"
-    },
-    "updates": {
-      "fallbackToCacheTimeout": 0
-    },
-    "assetBundlePatterns": [
-      "**/*"
-    ],
-    "ios": {
-      "supportsTablet": true,
-      "bitcode": false,
-      "bundleIdentifier": "co.daily.expo.BotReady",
-      "infoPlist": {
-        "UIBackgroundModes": [
-          "voip"
-        ]
-      },
-      "appleTeamId": "EEBGKV9N3N"
-    },
-    "android": {
-      "adaptiveIcon": {
-        "foregroundImage": "./assets/adaptive-icon.png",
-        "backgroundColor": "#FFFFFF"
-      },
-      "package": "co.daily.expo.BotReady",
-      "permissions": [
-        "android.permission.ACCESS_NETWORK_STATE",
-        "android.permission.BLUETOOTH",
-        "android.permission.CAMERA",
-        "android.permission.INTERNET",
-        "android.permission.MODIFY_AUDIO_SETTINGS",
-        "android.permission.RECORD_AUDIO",
-        "android.permission.SYSTEM_ALERT_WINDOW",
-        "android.permission.WAKE_LOCK",
-        "android.permission.FOREGROUND_SERVICE",
-        "android.permission.FOREGROUND_SERVICE_CAMERA",
-        "android.permission.FOREGROUND_SERVICE_MICROPHONE",
-        "android.permission.FOREGROUND_SERVICE_MEDIA_PROJECTION",
-        "android.permission.POST_NOTIFICATIONS"
-      ]
-    },
-    "web": {
-      "favicon": "./assets/favicon.png"
-    },
-    "plugins": [
-      "@config-plugins/react-native-webrtc",
-      "@daily-co/config-plugin-rn-daily-js",
-      [
-        "expo-build-properties",
-        {
-          "android": {
-            "minSdkVersion": 24,
-            "compileSdkVersion": 35,
-            "targetSdkVersion": 34,
-            "buildToolsVersion": "35.0.0"
-          },
-          "ios": {
-            "deploymentTarget": "15.1"
-          }
-        }
-      ]
-    ]
-  }
-}
--- a/examples/bot-ready-signalling/client/react-native/assets/adaptive-icon.png
+++ b/examples/bot-ready-signalling/client/react-native/assets/adaptive-icon.png
--- a/examples/bot-ready-signalling/client/react-native/assets/favicon.png
+++ b/examples/bot-ready-signalling/client/react-native/assets/favicon.png
--- a/examples/bot-ready-signalling/client/react-native/assets/icon.png
+++ b/examples/bot-ready-signalling/client/react-native/assets/icon.png
--- a/examples/bot-ready-signalling/client/react-native/assets/splash.png
+++ b/examples/bot-ready-signalling/client/react-native/assets/splash.png
--- a/examples/bot-ready-signalling/client/react-native/babel.config.js
+++ b/examples/bot-ready-signalling/client/react-native/babel.config.js
@@ -1,7 +0,0 @@
-module.exports = function(api) {
-  api.cache(true);
-  return {
-    presets: ['babel-preset-expo'],
-    plugins: [["module:react-native-dotenv"]],
-  };
-};
--- a/examples/bot-ready-signalling/client/react-native/env.example
+++ b/examples/bot-ready-signalling/client/react-native/env.example
@@ -1 +0,0 @@
-API_BASE_URL=http://YOUR_LOCAL_IP:7860
--- a/examples/bot-ready-signalling/client/react-native/index.js
+++ b/examples/bot-ready-signalling/client/react-native/index.js
@@ -1,7 +0,0 @@
-import { registerRootComponent } from "expo";
-
-import App from "./src/App";
-
-// registerRootComponent calls AppRegistry.registerComponent('main', () => App);
-// It also ensures that the environment is set up appropriately
-registerRootComponent(App);
--- a/examples/bot-ready-signalling/client/react-native/metro.config.js
+++ b/examples/bot-ready-signalling/client/react-native/metro.config.js
@@ -1,4 +0,0 @@
-// Learn more https://docs.expo.io/guides/customizing-metro
-const { getDefaultConfig } = require('expo/metro-config');
-
-module.exports = getDefaultConfig(__dirname);
--- a/examples/bot-ready-signalling/client/react-native/package-lock.json
+++ b/examples/bot-ready-signalling/client/react-native/package-lock.json
--- a/examples/bot-ready-signalling/client/react-native/package.json
+++ b/examples/bot-ready-signalling/client/react-native/package.json
@@ -1,31 +0,0 @@
-{
-  "name": "bot-ready-rn",
-  "version": "1.0.0",
-  "scripts": {
-    "start": "expo start --dev-client",
-    "android": "expo run:android --device",
-    "ios": "expo run:ios --device",
-    "web": "expo start --web"
-  },
-  "dependencies": {
-    "@config-plugins/react-native-webrtc": "^10.0.0",
-    "@daily-co/config-plugin-rn-daily-js": "0.0.7",
-    "@daily-co/react-native-daily-js": "^0.70.0",
-    "@daily-co/react-native-webrtc": "^118.0.3-daily.2",
-    "@react-native-async-storage/async-storage": "1.23.1",
-    "expo": "^52.0.0",
-    "expo-build-properties": "~0.13.1",
-    "expo-dev-client": "~5.0.5",
-    "expo-splash-screen": "~0.29.16",
-    "expo-status-bar": "~2.0.0",
-    "react": "18.3.1",
-    "react-native": "0.76.3",
-    "react-native-background-timer": "^2.4.1",
-    "react-native-dotenv": "^3.4.11",
-    "react-native-get-random-values": "^1.11.0"
-  },
-  "devDependencies": {
-    "@babel/core": "^7.12.9"
-  },
-  "private": true
-}
--- a/examples/bot-ready-signalling/client/react-native/src/App.js
+++ b/examples/bot-ready-signalling/client/react-native/src/App.js
@@ -1,121 +0,0 @@
-import React, { useState, useEffect } from 'react';
-import {SafeAreaView, View, Text, Button, StyleSheet, ScrollView} from 'react-native';
-import Daily from "@daily-co/react-native-daily-js";
-import { API_BASE_URL } from "@env";
-
-const CallScreen = () => {
-  const [connectionStatus, setConnectionStatus] = useState('Disconnected');
-  const [isConnected, setIsConnected] = useState(false);
-  const [callObject, setCallObject] = useState(null);
-  const [logs, setLogs] = useState([]);
-
-  useEffect(() => {
-    if (callObject) {
-      setupTrackListeners(callObject);
-    }
-  }, [callObject]);
-
-  const log = (message) => {
-    setLogs((prevLogs) => [...prevLogs, `${new Date().toISOString()} - ${message}`]);
-    console.log(message);
-  };
-
-  const setupTrackListeners = (callObject) => {
-    callObject.on("joined-meeting", () => {
-      setConnectionStatus('Connected');
-      setIsConnected(true);
-      log('Client connected');
-    });
-    callObject.on("left-meeting", () => {
-      setConnectionStatus('Disconnected');
-      setIsConnected(false);
-      log('Client disconnected');
-    });
-    callObject.on("participant-left", () => {
-      // When the bot leaves, we are also disconnecting from the call
-      disconnect().catch((err) => {
-        log(`Failed to disconnect ${err}`);
-      })
-    });
-    // Trigger so the bot can start sending audio
-    callObject.on("track-started", (evt) => {
-      if (evt.track.kind === "audio" && evt.participant.local === false) {
-        handleEventToConsole(evt)
-        log("Sending the message that will trigger the bot to play the audio.")
-        callObject.sendAppMessage("playable")
-      }
-    });
-    callObject.on("error", (evt) => log(`Error: ${evt.error}`));
-    // Other events just for awareness
-    callObject.on("track-stopped", handleEventToConsole);
-    callObject.on("participant-joined", handleEventToConsole);
-    callObject.on("participant-updated", handleEventToConsole);
-  };
-
-  const handleEventToConsole = (evt) => {
-    log(`Received event: ${evt.action}`);
-  };
-
-  const connect = async () => {
-    try {
-      const callObject = Daily.createCallObject({ subscribeToTracksAutomatically: true });
-      setCallObject(callObject);
-      const connectionUrl = `${API_BASE_URL}/connect`
-      const res = await fetch(connectionUrl, { method: "POST", headers: { "Content-Type": "application/json" } });
-      const roomInfo = await res.json();
-      await callObject.join({ url: roomInfo.room_url });
-    } catch (error) {
-      log(`Error connecting: ${error.message}`);
-    }
-  };
-
-  const disconnect = async () => {
-    if (callObject) {
-      try {
-        await callObject.leave();
-        await callObject.destroy();
-        setCallObject(null);
-      } catch (error) {
-        log(`Error disconnecting: ${error.message}`);
-      }
-    }
-  };
-
-  return (
-      <SafeAreaView style={styles.safeArea}>
-        <View style={styles.container}>
-          <View style={styles.statusBar}>
-            <Text>Status: <Text style={styles.status}>{connectionStatus}</Text></Text>
-            <View style={styles.controls}>
-              <Button
-                title={isConnected ? "Disconnect" : "Connect"}
-                onPress={isConnected ? disconnect : connect}
-              />
-            </View>
-          </View>
-
-          <View style={styles.debugPanel}>
-            <Text style={styles.debugTitle}>Debug Info</Text>
-            <ScrollView style={styles.debugLog}>
-              {logs.map((logEntry, index) => (
-                  <Text key={index} style={styles.logText}>{logEntry}</Text>
-              ))}
-            </ScrollView>
-          </View>
-        </View>
-      </SafeAreaView>
-  );
-};
-
-const styles = StyleSheet.create({
-  safeArea: { flex: 1, backgroundColor: '#f0f0f0', padding: 20 },
-  container: { flex: 1, margin: 20 },
-  statusBar: { flexDirection: 'row', justifyContent: 'space-between', alignItems: 'center', padding: 10, backgroundColor: '#fff', borderRadius: 8, marginBottom: 20 },
-  status: { fontWeight: 'bold' },
-  controls: { flexDirection: 'row', gap: 10 },
-  debugPanel: { height: '80%', backgroundColor: '#fff', borderRadius: 8, padding: 20},
-  debugTitle: { fontSize: 16, fontWeight: 'bold' },
-  debugLog: { height: '100%', overflow: 'scroll', backgroundColor: '#f8f8f8', padding: 10, borderRadius: 4, fontFamily: 'monospace', fontSize: 12, lineHeight: 1.4 },
-});
-
-export default CallScreen;
--- a/examples/bot-ready-signalling/server/README.md
+++ b/examples/bot-ready-signalling/server/README.md
@@ -1,50 +0,0 @@
-# Bot ready signaling Server
-
-A FastAPI server that manages bot instances and provide endpoint for Pipecat client connections.
-
-## Endpoints
-
- `POST /connect` - Pipecat client connection endpoint
-
-## Environment Variables
-
-Copy `env.example` to `.env` and configure:
-
-```ini
-# Required API Keys
-DAILY_API_KEY=           # Your Daily API key
-CARTESIA_API_KEY=        # Your Cartesia API key
-
-# Optional Configuration
-DAILY_API_URL=           # Optional: Daily API URL (defaults to https://api.daily.co/v1)
-DAILY_SAMPLE_ROOM_URL=   # Optional: Fixed room URL for development
-HOST=                    # Optional: Host address (defaults to 0.0.0.0)
-FAST_API_PORT=           # Optional: Port number (defaults to 7860)
-```
-
-## Running the Server
-
-Set up and activate your virtual environment:
-
-```bash
-python3 -m venv venv
-source venv/bin/activate  # On Windows: venv\Scripts\activate
-```
-
-Install dependencies:
-
-```bash
-pip install -r requirements.txt
-```
-
-If you want to use the local version of `pipecat` in this repo rather than the last published version, also run:
-
-```bash
-pip install --editable "../../../[daily,cartesia,openai]"
-```
-
-Run the server:
-
-```bash
-python server.py
-```
--- a/examples/bot-ready-signalling/server/env.example
+++ b/examples/bot-ready-signalling/server/env.example
@@ -1,3 +0,0 @@
-DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev)
-DAILY_API_KEY=
-CARTESIA_API_KEY=
--- a/examples/bot-ready-signalling/server/requirements.txt
+++ b/examples/bot-ready-signalling/server/requirements.txt
@@ -1,4 +0,0 @@
-python-dotenv
-fastapi[all]
-uvicorn
-pipecat-ai[daily,cartesia,openai]
--- a/examples/bot-ready-signalling/server/runner.py
+++ b/examples/bot-ready-signalling/server/runner.py
@@ -1,64 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-from typing import Optional
-
-import aiohttp
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
-
-
-async def configure(aiohttp_session: aiohttp.ClientSession):
-    (url, token, _) = await configure_with_args(aiohttp_session)
-    return (url, token)
-
-
-async def configure_with_args(
-    aiohttp_session: aiohttp.ClientSession, parser: Optional[argparse.ArgumentParser] = None
-):
-    if not parser:
-        parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
-    parser.add_argument(
-        "-u", "--url", type=str, required=False, help="URL of the Daily room to join"
-    )
-    parser.add_argument(
-        "-k",
-        "--apikey",
-        type=str,
-        required=False,
-        help="Daily API Key (needed to create an owner token for the room)",
-    )
-
-    args, unknown = parser.parse_known_args()
-
-    url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
-    key = args.apikey or os.getenv("DAILY_API_KEY")
-
-    if not url:
-        raise Exception(
-            "No Daily room specified. use the -u/--url option from the command line, or set DAILY_SAMPLE_ROOM_URL in your environment to specify a Daily room URL."
-        )
-
-    if not key:
-        raise Exception(
-            "No Daily API key specified. use the -k/--apikey option from the command line, or set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers."
-        )
-
-    daily_rest_helper = DailyRESTHelper(
-        daily_api_key=key,
-        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
-        aiohttp_session=aiohttp_session,
-    )
-
-    # Create a meeting token for the given room with an expiration 1 hour in
-    # the future.
-    expiry_time: float = 60 * 60
-
-    token = await daily_rest_helper.get_token(url, expiry_time)
-
-    return (url, token, args)
--- a/examples/bot-ready-signalling/server/server.py
+++ b/examples/bot-ready-signalling/server/server.py
@@ -1,147 +0,0 @@
-#
-# Copyright (c) 2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-import subprocess
-from contextlib import asynccontextmanager
-from typing import Any, Dict
-
-import aiohttp
-from dotenv import load_dotenv
-from fastapi import FastAPI, HTTPException, Request
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import JSONResponse
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
-
-# Load environment variables from .env file
-load_dotenv(override=True)
-
-# Dictionary to track bot processes: {pid: (process, room_url)}
-bot_procs = {}
-
-# Store Daily API helpers
-daily_helpers = {}
-
-
-def cleanup():
-    """Cleanup function to terminate all bot processes.
-
-    Called during server shutdown.
-    """
-    for entry in bot_procs.values():
-        proc = entry[0]
-        proc.terminate()
-        proc.wait()
-
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
-    """FastAPI lifespan manager that handles startup and shutdown tasks.
-
-    - Creates aiohttp session
-    - Initializes Daily API helper
-    - Cleans up resources on shutdown
-    """
-    aiohttp_session = aiohttp.ClientSession()
-    daily_helpers["rest"] = DailyRESTHelper(
-        daily_api_key=os.getenv("DAILY_API_KEY", ""),
-        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
-        aiohttp_session=aiohttp_session,
-    )
-    yield
-    await aiohttp_session.close()
-    cleanup()
-
-
-# Initialize FastAPI app with lifespan manager
-app = FastAPI(lifespan=lifespan)
-
-# Configure CORS to allow requests from any origin
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-
-async def create_room_and_token() -> tuple[str, str]:
-    """Helper function to create a Daily room and generate an access token.
-
-    Returns:
-        tuple[str, str]: A tuple containing (room_url, token)
-
-    Raises:
-        HTTPException: If room creation or token generation fails
-    """
-    room = await daily_helpers["rest"].create_room(DailyRoomParams())
-    if not room.url:
-        raise HTTPException(status_code=500, detail="Failed to create room")
-
-    token = await daily_helpers["rest"].get_token(room.url)
-    if not token:
-        raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
-
-    return room.url, token
-
-
-@app.post("/connect")
-async def bot_connect(request: Request) -> Dict[Any, Any]:
-    """Connect endpoint that creates a room and returns connection credentials.
-
-    This endpoint is called by client to establish a connection.
-
-    Returns:
-        Dict[Any, Any]: Authentication bundle containing room_url and token
-
-    Raises:
-        HTTPException: If room creation, token generation, or bot startup fails
-    """
-    print("Creating room for RTVI connection")
-    room_url, token = await create_room_and_token()
-    print(f"Room URL: {room_url}")
-
-    # Start the bot process
-    try:
-        bot_file = "signalling_bot"
-        proc = subprocess.Popen(
-            [f"python3 -m {bot_file} -u {room_url} -t {token}"],
-            shell=True,
-            bufsize=1,
-            cwd=os.path.dirname(os.path.abspath(__file__)),
-        )
-        bot_procs[proc.pid] = (proc, room_url)
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
-
-    # Return the authentication bundle in format expected by DailyTransport
-    return {"room_url": room_url, "token": token}
-
-
-if __name__ == "__main__":
-    import uvicorn
-
-    # Parse command line arguments for server configuration
-    default_host = os.getenv("HOST", "0.0.0.0")
-    default_port = int(os.getenv("FAST_API_PORT", "7860"))
-
-    parser = argparse.ArgumentParser(description="Daily Travel Companion FastAPI server")
-    parser.add_argument("--host", type=str, default=default_host, help="Host address")
-    parser.add_argument("--port", type=int, default=default_port, help="Port number")
-    parser.add_argument("--reload", action="store_true", help="Reload code on change")
-
-    config = parser.parse_args()
-
-    # Start the FastAPI server
-    uvicorn.run(
-        "server:app",
-        host=config.host,
-        port=config.port,
-        reload=config.reload,
-    )
--- a/examples/bot-ready-signalling/server/signalling_bot.py
+++ b/examples/bot-ready-signalling/server/signalling_bot.py
@@ -1,95 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import asyncio
-import os
-import sys
-from dataclasses import dataclass
-
-import aiohttp
-from dotenv import load_dotenv
-from loguru import logger
-from runner import configure
-
-from pipecat.frames.frames import AudioRawFrame, EndFrame, OutputAudioRawFrame, TTSSpeakFrame
-from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.runner import PipelineRunner
-from pipecat.pipeline.task import PipelineTask
-from pipecat.services.cartesia.tts import CartesiaTTSService
-from pipecat.transports.services.daily import DailyParams, DailyTransport
-
-load_dotenv(override=True)
-
-logger.remove(0)
-logger.add(sys.stderr, level="DEBUG")
-
-
-@dataclass
-class SilenceFrame(OutputAudioRawFrame):
-    def __init__(
-        self,
-        *,
-        sample_rate: int,
-        duration: float,
-    ):
-        # Initialize the parent class with the silent frame's data
-        super().__init__(
-            audio=self.create_silent_audio_frame(sample_rate, 1, duration).audio,
-            sample_rate=sample_rate,
-            num_channels=1,
-        )
-
-    @staticmethod
-    def create_silent_audio_frame(
-        sample_rate: int, num_channels: int, duration: float
-    ) -> AudioRawFrame:
-        """Create an AudioRawFrame containing silence."""
-        frame_size = num_channels * 2  # 2 bytes per sample for 16-bit audio
-        total_frames = int(sample_rate * duration)
-        total_bytes = total_frames * frame_size
-        silent_audio = bytes(total_bytes)  # Create a byte array filled with zeros
-        return AudioRawFrame(audio=silent_audio, sample_rate=sample_rate, num_channels=num_channels)
-
-
-async def main():
-    async with aiohttp.ClientSession() as session:
-        (room_url, _) = await configure(session)
-
-        transport = DailyTransport(
-            room_url, None, "Say One Thing", DailyParams(audio_out_enabled=True)
-        )
-
-        tts = CartesiaTTSService(
-            api_key=os.getenv("CARTESIA_API_KEY"),
-            voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
-        )
-
-        runner = PipelineRunner()
-
-        task = PipelineTask(Pipeline([tts, transport.output()]))
-
-        # Register an event handler so we can play the audio when we receive a specific message
-        @transport.event_handler("on_app_message")
-        async def on_app_message(transport, message, sender):
-            logger.debug(f"Received app message: {message} - {sender}")
-            if "playable" not in message:
-                return
-            await task.queue_frames(
-                [
-                    SilenceFrame(
-                        sample_rate=task.params.audio_out_sample_rate,
-                        duration=0.5,
-                    ),
-                    TTSSpeakFrame(f"Hello there, how are you doing today ?"),
-                    EndFrame(),
-                ]
-            )
-
-        await runner.run(task)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
--- a/examples/canonical-metrics/.gitignore
+++ b/examples/canonical-metrics/.gitignore
@@ -1,161 +0,0 @@
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-recordings/
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control.
-#   https://pdm.fming.dev/#use-with-ide
-.pdm.toml
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
-runpod.toml
--- a/examples/canonical-metrics/Dockerfile
+++ b/examples/canonical-metrics/Dockerfile
@@ -1,10 +0,0 @@
-FROM python:3.10-bullseye
-RUN mkdir /app
-COPY *.py /app/
-COPY requirements.txt /app/
-WORKDIR /app
-RUN pip3 install -r requirements.txt
-
-EXPOSE 7860
-
-CMD ["python3", "server.py"]
--- a/examples/canonical-metrics/README.md
+++ b/examples/canonical-metrics/README.md
@@ -1,66 +0,0 @@
-# Chatbot with canonical-metrics
-
-This project implements a chatbot using a pipeline architecture that integrates audio processing, transcription, and a language model for conversational interactions. The chatbot operates within a daily communication environment, utilizing various services for text-to-speech and language model responses.
-
-## Features
-
- **Audio Input and Output**: Captures microphone input and plays back audio responses.
- **Voice Activity Detection**: Utilizes Silero VAD to manage audio input intelligently.
- **Text-to-Speech**: Integrates ElevenLabs TTS service to convert text responses into audio.
- **Language Model Interaction**: Uses OpenAI's GPT-4 model to generate responses based on user input.
- **Transcription Services**: Captures and transcribes participant speech for analytics.
- **Metrics Collection**: Sends audio data for analysis via Canonical Metrics Service.
-
-## Requirements
-
- Python 3.10+
- `python-dotenv`
- Additional libraries from the `pipecat` package.
-
-## Setup
-
-1. Clone the repository.
-2. Install the required packages.
-3. Set up environment variables for API keys:
-   - `OPENAI_API_KEY`
-   - `ELEVENLABS_API_KEY`
-   - `CANONICAL_API_KEY`
-   - `CANONICAL_API_URL`
-4. Run the script.
-
-## Usage
-
-The chatbot introduces itself and engages in conversations, providing brief and creative responses. Designed for flexibility, it can support multiple languages with appropriate configuration.
-
-## Events
-
- Participants joining or leaving the call are handled dynamically, adjusting the chatbot's behavior accordingly.
-
-
-ℹ️ The first time, things might take extra time to get started since VAD (Voice Activity Detection) model needs to be downloaded.
-
-## Get started
-
-```python
-python3 -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt
-
-cp env.example .env # and add your credentials
-
-```
-
-## Run the server
-
-```bash
-python server.py
-```
-
-Then, visit `http://localhost:7860/` in your browser to start a chatbot session.
-
-## Build and test the Docker image
-
-```
-docker build -t chatbot .
-docker run --env-file .env -p 7860:7860 chatbot
-```
--- a/examples/canonical-metrics/bot.py
+++ b/examples/canonical-metrics/bot.py
@@ -1,146 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import asyncio
-import os
-import sys
-import uuid
-
-import aiohttp
-from dotenv import load_dotenv
-from loguru import logger
-from runner import configure
-
-from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
-from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.runner import PipelineRunner
-from pipecat.pipeline.task import PipelineParams, PipelineTask
-from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
-from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor
-from pipecat.services.canonical.metrics import CanonicalMetricsService
-from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
-from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.transports.services.daily import DailyParams, DailyTransport
-
-load_dotenv(override=True)
-
-logger.remove(0)
-logger.add(sys.stderr, level="DEBUG")
-
-
-async def main():
-    async with aiohttp.ClientSession() as session:
-        (room_url, token) = await configure(session)
-
-        transport = DailyTransport(
-            room_url,
-            token,
-            "Chatbot",
-            DailyParams(
-                audio_out_enabled=True,
-                audio_in_enabled=True,
-                video_out_enabled=False,
-                vad_analyzer=SileroVADAnalyzer(),
-                transcription_enabled=True,
-                #
-                # Spanish
-                #
-                # transcription_settings=DailyTranscriptionSettings(
-                #     language="es",
-                #     tier="nova",
-                #     model="2-general"
-                # )
-            ),
-        )
-
-        tts = ElevenLabsTTSService(
-            api_key=os.getenv("ELEVENLABS_API_KEY"),
-            #
-            # English
-            #
-            voice_id="cgSgspJ2msm6clMCkdW9",
-            #
-            # Spanish
-            #
-            # model="eleven_multilingual_v2",
-            # voice_id="gD1IexrzCvsXPHUuT0s3",
-        )
-
-        llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
-
-        messages = [
-            {
-                "role": "system",
-                #
-                # English
-                #
-                "content": "You are Chatbot, a friendly, helpful robot. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way, but keep your responses brief. Start by introducing yourself. Keep all your responses to 12 words or fewer.",
-                #
-                # Spanish
-                #
-                # "content": "Eres Chatbot, un amigable y útil robot. Tu objetivo es demostrar tus capacidades de una manera breve. Tus respuestas se convertiran a audio así que nunca no debes incluir caracteres especiales. Contesta a lo que el usuario pregunte de una manera creativa, útil y breve. Empieza por presentarte a ti mismo.",
-            },
-        ]
-
-        context = OpenAILLMContext(messages)
-        context_aggregator = llm.create_context_aggregator(context)
-
-        """
-        CanonicalMetrics uses AudioBufferProcessor under the hood to buffer the audio. On
-        call completion, CanonicalMetrics will send the audio buffer to Canonical for
-        analysis. Visit https://voice.canonical.chat to learn more.
-        """
-        audio_buffer_processor = AudioBufferProcessor(num_channels=2)
-        canonical = CanonicalMetricsService(
-            audio_buffer_processor=audio_buffer_processor,
-            aiohttp_session=session,
-            api_key=os.getenv("CANONICAL_API_KEY"),
-            call_id=str(uuid.uuid4()),
-            assistant="pipecat-chatbot",
-            assistant_speaks_first=True,
-            context=context,
-        )
-        pipeline = Pipeline(
-            [
-                transport.input(),  # microphone
-                context_aggregator.user(),
-                llm,
-                tts,
-                transport.output(),
-                canonical,  # uploads audio buffer to Canonical AI for metrics
-                audio_buffer_processor,  # captures audio into a buffer
-                context_aggregator.assistant(),
-            ]
-        )
-
-        task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
-
-        @transport.event_handler("on_first_participant_joined")
-        async def on_first_participant_joined(transport, participant):
-            await audio_buffer_processor.start_recording()
-            await transport.capture_participant_transcription(participant["id"])
-            await task.queue_frames([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            print(f"Participant left: {participant}")
-            await task.cancel()
-
-        @transport.event_handler("on_call_state_updated")
-        async def on_call_state_updated(transport, state):
-            if state == "left":
-                # Here we don't want to cancel, we just want to finish sending
-                # whatever is queued, so we use an EndFrame().
-                await task.queue_frame(EndFrame())
-
-        runner = PipelineRunner()
-
-        await runner.run(task)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
--- a/examples/canonical-metrics/env.example
+++ b/examples/canonical-metrics/env.example
@@ -1,6 +0,0 @@
-DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev)
-DAILY_API_KEY=7df...
-OPENAI_API_KEY=sk-PL...
-ELEVENLABS_API_KEY=aeb...
-CANONICAL_API_KEY=can...
-CANONICAL_API_URL=
--- a/examples/canonical-metrics/requirements.txt
+++ b/examples/canonical-metrics/requirements.txt
@@ -1,5 +0,0 @@
-python-dotenv
-fastapi[all]
-uvicorn
-pipecat-ai[daily,openai,silero,elevenlabs,canonical]
-
--- a/examples/canonical-metrics/server.py
+++ b/examples/canonical-metrics/server.py
@@ -1,139 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-import subprocess
-from contextlib import asynccontextmanager
-
-import aiohttp
-from dotenv import load_dotenv
-from fastapi import FastAPI, HTTPException, Request
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import JSONResponse, RedirectResponse
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
-
-MAX_BOTS_PER_ROOM = 1
-
-# Bot sub-process dict for status reporting and concurrency control
-bot_procs = {}
-
-daily_helpers = {}
-
-load_dotenv(override=True)
-
-
-def cleanup():
-    # Clean up function, just to be extra safe
-    for entry in bot_procs.values():
-        proc = entry[0]
-        proc.terminate()
-        proc.wait()
-
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
-    aiohttp_session = aiohttp.ClientSession()
-    daily_helpers["rest"] = DailyRESTHelper(
-        daily_api_key=os.getenv("DAILY_API_KEY", ""),
-        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
-        aiohttp_session=aiohttp_session,
-    )
-    yield
-    await aiohttp_session.close()
-    cleanup()
-
-
-app = FastAPI(lifespan=lifespan)
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-
-@app.get("/")
-async def start_agent(request: Request):
-    print(f"!!! Creating room")
-    room = await daily_helpers["rest"].create_room(DailyRoomParams())
-    print(f"!!! Room URL: {room.url}")
-    # Ensure the room property is present
-    if not room.url:
-        raise HTTPException(
-            status_code=500,
-            detail="Missing 'room' property in request data. Cannot start agent without a target room!",
-        )
-
-    # Check if there is already an existing process running in this room
-    num_bots_in_room = sum(
-        1 for proc in bot_procs.values() if proc[1] == room.url and proc[0].poll() is None
-    )
-    if num_bots_in_room >= MAX_BOTS_PER_ROOM:
-        raise HTTPException(status_code=500, detail=f"Max bot limited reach for room: {room.url}")
-
-    # Get the token for the room
-    token = await daily_helpers["rest"].get_token(room.url)
-
-    if not token:
-        raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
-
-    # Spawn a new agent, and join the user session
-    # Note: this is mostly for demonstration purposes (refer to 'deployment' in README)
-    try:
-        proc = subprocess.Popen(
-            [f"python3 -m bot -u {room.url} -t {token}"],
-            shell=True,
-            bufsize=1,
-            cwd=os.path.dirname(os.path.abspath(__file__)),
-        )
-        bot_procs[proc.pid] = (proc, room.url)
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
-
-    return RedirectResponse(room.url)
-
-
-@app.get("/status/{pid}")
-def get_status(pid: int):
-    # Look up the subprocess
-    proc = bot_procs.get(pid)
-
-    # If the subprocess doesn't exist, return an error
-    if not proc:
-        raise HTTPException(status_code=404, detail=f"Bot with process id: {pid} not found")
-
-    # Check the status of the subprocess
-    if proc[0].poll() is None:
-        status = "running"
-    else:
-        status = "finished"
-
-    return JSONResponse({"bot_id": pid, "status": status})
-
-
-if __name__ == "__main__":
-    import uvicorn
-
-    default_host = os.getenv("HOST", "0.0.0.0")
-    default_port = int(os.getenv("FAST_API_PORT", "7860"))
-
-    parser = argparse.ArgumentParser(description="Daily Storyteller FastAPI server")
-    parser.add_argument("--host", type=str, default=default_host, help="Host address")
-    parser.add_argument("--port", type=int, default=default_port, help="Port number")
-    parser.add_argument("--reload", action="store_true", help="Reload code on change")
-
-    config = parser.parse_args()
-
-    uvicorn.run(
-        "server:app",
-        host=config.host,
-        port=config.port,
-        reload=config.reload,
-    )
--- a/examples/chatbot-audio-recording/.gitignore
+++ b/examples/chatbot-audio-recording/.gitignore
@@ -1,161 +0,0 @@
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control.
-#   https://pdm.fming.dev/#use-with-ide
-.pdm.toml
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
-runpod.toml
--- a/examples/chatbot-audio-recording/Dockerfile
+++ b/examples/chatbot-audio-recording/Dockerfile
@@ -1,15 +0,0 @@
-FROM python:3.10-bullseye
-
-RUN mkdir /app
-RUN mkdir /app/assets
-RUN mkdir /app/utils
-COPY *.py /app/
-COPY requirements.txt /app/
-
-
-WORKDIR /app
-RUN pip3 install -r requirements.txt
-
-EXPOSE 7860
-
-CMD ["python3", "server.py"]
--- a/examples/chatbot-audio-recording/README.md
+++ b/examples/chatbot-audio-recording/README.md
@@ -1,37 +0,0 @@
-# Simple Chatbot
-
-<img src="image.png" width="420px">
-
-This app connects you to a chatbot powered by GPT-4, complete with animations generated by Stable Video Diffusion.
-
-See a video of it in action: https://x.com/kwindla/status/1778628911817183509
-
-And a quick video walkthrough of the code: https://www.loom.com/share/13df1967161f4d24ade054e7f8753416
-
-ℹ️ The first time, things might take extra time to get started since VAD (Voice Activity Detection) model needs to be downloaded.
-
-## Get started
-
-```python
-python3 -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt
-
-cp env.example .env # and add your credentials
-
-```
-
-## Run the server
-
-```bash
-python server.py
-```
-
-Then, visit `http://localhost:7860/` in your browser to start a chatbot session.
-
-## Build and test the Docker image
-
-```
-docker build -t chatbot .
-docker run --env-file .env -p 7860:7860 chatbot
-```
--- a/examples/chatbot-audio-recording/bot.py
+++ b/examples/chatbot-audio-recording/bot.py
@@ -1,162 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import asyncio
-import datetime
-import io
-import os
-import sys
-import wave
-
-import aiofiles
-import aiohttp
-from dotenv import load_dotenv
-from loguru import logger
-from runner import configure
-
-from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.runner import PipelineRunner
-from pipecat.pipeline.task import PipelineParams, PipelineTask
-from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
-from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor
-from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
-from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.transports.services.daily import DailyParams, DailyTransport
-
-load_dotenv(override=True)
-
-logger.remove(0)
-logger.add(sys.stderr, level="DEBUG")
-
-# Create the recordings directory if it doesn't exist
-os.makedirs("recordings", exist_ok=True)
-
-
-async def save_audio(audio: bytes, sample_rate: int, num_channels: int, name: str):
-    if len(audio) > 0:
-        filename = os.path.join(
-            "recordings",
-            f"{name}_conversation_recording{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}.wav",
-        )
-        with io.BytesIO() as buffer:
-            with wave.open(buffer, "wb") as wf:
-                wf.setsampwidth(2)
-                wf.setnchannels(num_channels)
-                wf.setframerate(sample_rate)
-                wf.writeframes(audio)
-            async with aiofiles.open(filename, "wb") as file:
-                await file.write(buffer.getvalue())
-        print(f"Merged audio saved to {filename}")
-    else:
-        print("No audio data to save")
-
-
-async def main():
-    async with aiohttp.ClientSession() as session:
-        (room_url, token) = await configure(session)
-
-        transport = DailyTransport(
-            room_url,
-            token,
-            "Chatbot",
-            DailyParams(
-                audio_out_enabled=True,
-                audio_in_enabled=True,
-                video_out_enabled=False,
-                vad_analyzer=SileroVADAnalyzer(),
-                transcription_enabled=True,
-                #
-                # Spanish
-                #
-                # transcription_settings=DailyTranscriptionSettings(
-                #     language="es",
-                #     tier="nova",
-                #     model="2-general"
-                # )
-            ),
-        )
-
-        tts = ElevenLabsTTSService(
-            api_key=os.getenv("ELEVENLABS_API_KEY"),
-            #
-            # English
-            #
-            voice_id="cgSgspJ2msm6clMCkdW9",
-            #
-            # Spanish
-            #
-            # model="eleven_multilingual_v2",
-            # voice_id="gD1IexrzCvsXPHUuT0s3",
-        )
-
-        llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
-
-        messages = [
-            {
-                "role": "system",
-                #
-                # English
-                #
-                "content": "You are Chatbot, a friendly, helpful robot. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way, but keep your responses brief. Start by introducing yourself. Keep all your response to 12 words or fewer.",
-                #
-                # Spanish
-                #
-                # "content": "Eres Chatbot, un amigable y útil robot. Tu objetivo es demostrar tus capacidades de una manera breve. Tus respuestas se convertiran a audio así que nunca no debes incluir caracteres especiales. Contesta a lo que el usuario pregunte de una manera creativa, útil y breve. Empieza por presentarte a ti mismo.",
-            },
-        ]
-
-        context = OpenAILLMContext(messages)
-        context_aggregator = llm.create_context_aggregator(context)
-
-        # NOTE: Watch out! This will save all the conversation in memory. You
-        # can pass `buffer_size` to get periodic callbacks.
-        audiobuffer = AudioBufferProcessor(enable_turn_audio=True)
-
-        pipeline = Pipeline(
-            [
-                transport.input(),  # microphone
-                context_aggregator.user(),
-                llm,
-                tts,
-                transport.output(),
-                audiobuffer,  # used to buffer the audio in the pipeline
-                context_aggregator.assistant(),
-            ]
-        )
-
-        task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
-
-        @audiobuffer.event_handler("on_audio_data")
-        async def on_audio_data(buffer, audio, sample_rate, num_channels):
-            await save_audio(audio, sample_rate, num_channels, "full")
-
-        @audiobuffer.event_handler("on_user_turn_audio_data")
-        async def on_user_turn_audio_data(buffer, audio, sample_rate, num_channels):
-            await save_audio(audio, sample_rate, num_channels, "user")
-
-        @audiobuffer.event_handler("on_bot_turn_audio_data")
-        async def on_bot_turn_audio_data(buffer, audio, sample_rate, num_channels):
-            await save_audio(audio, sample_rate, num_channels, "bot")
-
-        @transport.event_handler("on_first_participant_joined")
-        async def on_first_participant_joined(transport, participant):
-            await audiobuffer.start_recording()
-            await transport.capture_participant_transcription(participant["id"])
-            await task.queue_frames([context_aggregator.user().get_context_frame()])
-
-        @transport.event_handler("on_participant_left")
-        async def on_participant_left(transport, participant, reason):
-            print(f"Participant left: {participant}")
-            await task.cancel()
-
-        runner = PipelineRunner()
-
-        await runner.run(task)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
--- a/examples/chatbot-audio-recording/requirements.txt
+++ b/examples/chatbot-audio-recording/requirements.txt
@@ -1,5 +0,0 @@
-aiofiles
-python-dotenv
-fastapi[all]
-uvicorn
-pipecat-ai[daily,openai,silero,elevenlabs]
--- a/examples/chatbot-audio-recording/runner.py
+++ b/examples/chatbot-audio-recording/runner.py
@@ -1,56 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-
-import aiohttp
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
-
-
-async def configure(aiohttp_session: aiohttp.ClientSession):
-    parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
-    parser.add_argument(
-        "-u", "--url", type=str, required=False, help="URL of the Daily room to join"
-    )
-    parser.add_argument(
-        "-k",
-        "--apikey",
-        type=str,
-        required=False,
-        help="Daily API Key (needed to create an owner token for the room)",
-    )
-
-    args, unknown = parser.parse_known_args()
-
-    url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
-    key = args.apikey or os.getenv("DAILY_API_KEY")
-
-    if not url:
-        raise Exception(
-            "No Daily room specified. use the -u/--url option from the command line, or set DAILY_SAMPLE_ROOM_URL in your environment to specify a Daily room URL."
-        )
-
-    if not key:
-        raise Exception(
-            "No Daily API key specified. use the -k/--apikey option from the command line, or set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers."
-        )
-
-    daily_rest_helper = DailyRESTHelper(
-        daily_api_key=key,
-        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
-        aiohttp_session=aiohttp_session,
-    )
-
-    # Create a meeting token for the given room with an expiration 1 hour in
-    # the future.
-    expiry_time: float = 60 * 60
-
-    token = await daily_rest_helper.get_token(url, expiry_time)
-
-    return (url, token)
-    return (url, token)
--- a/examples/chatbot-audio-recording/server.py
+++ b/examples/chatbot-audio-recording/server.py
@@ -1,139 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-import subprocess
-from contextlib import asynccontextmanager
-
-import aiohttp
-from dotenv import load_dotenv
-from fastapi import FastAPI, HTTPException, Request
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import JSONResponse, RedirectResponse
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
-
-MAX_BOTS_PER_ROOM = 1
-
-# Bot sub-process dict for status reporting and concurrency control
-bot_procs = {}
-
-daily_helpers = {}
-
-load_dotenv(override=True)
-
-
-def cleanup():
-    # Clean up function, just to be extra safe
-    for entry in bot_procs.values():
-        proc = entry[0]
-        proc.terminate()
-        proc.wait()
-
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
-    aiohttp_session = aiohttp.ClientSession()
-    daily_helpers["rest"] = DailyRESTHelper(
-        daily_api_key=os.getenv("DAILY_API_KEY", ""),
-        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
-        aiohttp_session=aiohttp_session,
-    )
-    yield
-    await aiohttp_session.close()
-    cleanup()
-
-
-app = FastAPI(lifespan=lifespan)
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-
-@app.get("/")
-async def start_agent(request: Request):
-    print(f"!!! Creating room")
-    room = await daily_helpers["rest"].create_room(DailyRoomParams())
-    print(f"!!! Room URL: {room.url}")
-    # Ensure the room property is present
-    if not room.url:
-        raise HTTPException(
-            status_code=500,
-            detail="Missing 'room' property in request data. Cannot start agent without a target room!",
-        )
-
-    # Check if there is already an existing process running in this room
-    num_bots_in_room = sum(
-        1 for proc in bot_procs.values() if proc[1] == room.url and proc[0].poll() is None
-    )
-    if num_bots_in_room >= MAX_BOTS_PER_ROOM:
-        raise HTTPException(status_code=500, detail=f"Max bot limited reach for room: {room.url}")
-
-    # Get the token for the room
-    token = await daily_helpers["rest"].get_token(room.url)
-
-    if not token:
-        raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
-
-    # Spawn a new agent, and join the user session
-    # Note: this is mostly for demonstration purposes (refer to 'deployment' in README)
-    try:
-        proc = subprocess.Popen(
-            [f"python3 -m bot -u {room.url} -t {token}"],
-            shell=True,
-            bufsize=1,
-            cwd=os.path.dirname(os.path.abspath(__file__)),
-        )
-        bot_procs[proc.pid] = (proc, room.url)
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
-
-    return RedirectResponse(room.url)
-
-
-@app.get("/status/{pid}")
-def get_status(pid: int):
-    # Look up the subprocess
-    proc = bot_procs.get(pid)
-
-    # If the subprocess doesn't exist, return an error
-    if not proc:
-        raise HTTPException(status_code=404, detail=f"Bot with process id: {pid} not found")
-
-    # Check the status of the subprocess
-    if proc[0].poll() is None:
-        status = "running"
-    else:
-        status = "finished"
-
-    return JSONResponse({"bot_id": pid, "status": status})
-
-
-if __name__ == "__main__":
-    import uvicorn
-
-    default_host = os.getenv("HOST", "0.0.0.0")
-    default_port = int(os.getenv("FAST_API_PORT", "7860"))
-
-    parser = argparse.ArgumentParser(description="Daily Storyteller FastAPI server")
-    parser.add_argument("--host", type=str, default=default_host, help="Host address")
-    parser.add_argument("--port", type=int, default=default_port, help="Port number")
-    parser.add_argument("--reload", action="store_true", help="Reload code on change")
-
-    config = parser.parse_args()
-
-    uvicorn.run(
-        "server:app",
-        host=config.host,
-        port=config.port,
-        reload=config.reload,
-    )
--- a/examples/deployment/flyio-example/README.md
+++ b/examples/deployment/flyio-example/README.md
@@ -34,6 +34,6 @@ Note: you can do this manually via the fly.io dashboard under the "secrets" sub-

 Send a post request to your running fly.io instance:

-`curl --location --request POST 'https://YOUR_FLY_APP_NAME/'`
+`curl --location --request POST 'https://YOUR_FLY_APP_NAME/start_bot'`

 This request will wait until the machine enters into a `starting` state, before returning the a room URL and token to join.
--- a/examples/deployment/flyio-example/bot.py
+++ b/examples/deployment/flyio-example/bot.py
@@ -1,27 +1,21 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
 import asyncio
 import os
 import sys
+import argparse

-from dotenv import load_dotenv
-from loguru import logger
-
-from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
-from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
-from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
-from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.processors.aggregators.llm_response import LLMAssistantResponseAggregator, LLMUserResponseAggregator
+from pipecat.frames.frames import LLMMessagesFrame, EndFrame
+from pipecat.services.openai import OpenAILLMService
+from pipecat.services.elevenlabs import ElevenLabsTTSService
 from pipecat.transports.services.daily import DailyParams, DailyTransport
+from pipecat.vad.silero import SileroVADAnalyzer

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

 logger.remove(0)
@@ -41,10 +35,11 @@ async def main(room_url: str, token: str):
            api_key=daily_api_key,
            audio_in_enabled=True,
            audio_out_enabled=True,
-            video_out_enabled=False,
+            camera_out_enabled=False,
+            vad_enabled=True,
            vad_analyzer=SileroVADAnalyzer(),
            transcription_enabled=True,
-        ),
+        )
    )

    tts = ElevenLabsTTSService(
@@ -52,7 +47,9 @@ async def main(room_url: str, token: str):
        voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""),
    )

-    llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+    llm = OpenAILLMService(
+        api_key=os.getenv("OPENAI_API_KEY"),
+        model="gpt-4o")

    messages = [
        {
@@ -61,36 +58,32 @@ async def main(room_url: str, token: str):
        },
    ]

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

-    pipeline = Pipeline(
-        [
-            transport.input(),
-            context_aggregator.user(),
-            llm,
-            tts,
-            transport.output(),
-            context_aggregator.assistant(),
-        ]
-    )
+    pipeline = Pipeline([
+        transport.input(),
+        tma_in,
+        llm,
+        tts,
+        transport.output(),
+        tma_out,
+    ])

-    task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
+    task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True))

    @transport.event_handler("on_first_participant_joined")
    async def on_first_participant_joined(transport, participant):
-        await transport.capture_participant_transcription(participant["id"])
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        transport.capture_participant_transcription(participant["id"])
+        await task.queue_frames([LLMMessagesFrame(messages)])

    @transport.event_handler("on_participant_left")
    async def on_participant_left(transport, participant, reason):
-        await task.cancel()
+        await task.queue_frame(EndFrame())

    @transport.event_handler("on_call_state_updated")
    async def on_call_state_updated(transport, state):
        if state == "left":
-            # Here we don't want to cancel, we just want to finish sending
-            # whatever is queued, so we use an EndFrame().
            await task.queue_frame(EndFrame())

    runner = PipelineRunner()
--- a/examples/deployment/flyio-example/bot_runner.py
+++ b/examples/deployment/flyio-example/bot_runner.py
@@ -1,27 +1,24 @@
 #
-# Copyright (c) 2024–2025, Daily
+# Copyright (c) 2024, Daily
 #
 # SPDX-License-Identifier: BSD 2-Clause License
 #

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

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

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

+from dotenv import load_dotenv
 load_dotenv(override=True)


@@ -29,37 +26,37 @@ load_dotenv(override=True)

 MAX_SESSION_TIME = 5 * 60  # 5 minutes
 REQUIRED_ENV_VARS = [
-    "DAILY_API_KEY",
-    "OPENAI_API_KEY",
-    "ELEVENLABS_API_KEY",
-    "ELEVENLABS_VOICE_ID",
-    "FLY_API_KEY",
-    "FLY_APP_NAME",
-]
+    'DAILY_API_KEY',
+    'OPENAI_API_KEY',
+    'ELEVENLABS_API_KEY',
+    'ELEVENLABS_VOICE_ID',
+    'FLY_API_KEY',
+    'FLY_APP_NAME',]

 FLY_API_HOST = os.getenv("FLY_API_HOST", "https://api.machines.dev/v1")
 FLY_APP_NAME = os.getenv("FLY_APP_NAME", "pipecat-fly-example")
 FLY_API_KEY = os.getenv("FLY_API_KEY", "")
-FLY_HEADERS = {"Authorization": f"Bearer {FLY_API_KEY}", "Content-Type": "application/json"}
+FLY_HEADERS = {
+    'Authorization': f"Bearer {FLY_API_KEY}",
+    'Content-Type': 'application/json'
+}

 daily_helpers = {}


 # ----------------- API ----------------- #

-
@asynccontextmanager
 async def lifespan(app: FastAPI):
    aiohttp_session = aiohttp.ClientSession()
    daily_helpers["rest"] = DailyRESTHelper(
        daily_api_key=os.getenv("DAILY_API_KEY", ""),
-        daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
-        aiohttp_session=aiohttp_session,
+        daily_api_url=os.getenv("DAILY_API_URL", 'https://api.daily.co/v1'),
+        aiohttp_session=aiohttp_session
    )
    yield
    await aiohttp_session.close()

-
 app = FastAPI(lifespan=lifespan)

 app.add_middleware(
@@ -67,7 +64,7 @@ app.add_middleware(
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
-    allow_headers=["*"],
+    allow_headers=["*"]
 )

 # ----------------- Main ----------------- #
@@ -76,15 +73,13 @@ app.add_middleware(
 async def spawn_fly_machine(room_url: str, token: str):
    async with aiohttp.ClientSession() as session:
        # Use the same image as the bot runner
-        async with session.get(
-            f"{FLY_API_HOST}/apps/{FLY_APP_NAME}/machines", headers=FLY_HEADERS
-        ) as r:
+        async with session.get(f"{FLY_API_HOST}/apps/{FLY_APP_NAME}/machines", headers=FLY_HEADERS) as r:
            if r.status != 200:
                text = await r.text()
                raise Exception(f"Unable to get machine info from Fly: {text}")

            data = await r.json()
-            image = data[0]["config"]["image"]
+            image = data[0]['config']['image']

        # Machine configuration
        cmd = f"python3 bot.py -u {room_url} -t {token}"
@@ -93,28 +88,31 @@ async def spawn_fly_machine(room_url: str, token: str):
            "config": {
                "image": image,
                "auto_destroy": True,
-                "init": {"cmd": cmd},
-                "restart": {"policy": "no"},
-                "guest": {"cpu_kind": "shared", "cpus": 1, "memory_mb": 1024},
+                "init": {
+                    "cmd": cmd
+                },
+                "restart": {
+                    "policy": "no"
+                },
+                "guest": {
+                    "cpu_kind": "shared",
+                    "cpus": 1,
+                    "memory_mb": 1024
+                }
            },
        }

        # Spawn a new machine instance
-        async with session.post(
-            f"{FLY_API_HOST}/apps/{FLY_APP_NAME}/machines", headers=FLY_HEADERS, json=worker_props
-        ) as r:
+        async with session.post(f"{FLY_API_HOST}/apps/{FLY_APP_NAME}/machines", headers=FLY_HEADERS, json=worker_props) as r:
            if r.status != 200:
                text = await r.text()
                raise Exception(f"Problem starting a bot worker: {text}")

            data = await r.json()
            # Wait for the machine to enter the started state
-            vm_id = data["id"]
+            vm_id = data['id']

-        async with session.get(
-            f"{FLY_API_HOST}/apps/{FLY_APP_NAME}/machines/{vm_id}/wait?state=started",
-            headers=FLY_HEADERS,
-        ) as r:
+        async with session.get(f"{FLY_API_HOST}/apps/{FLY_APP_NAME}/machines/{vm_id}/wait?state=started", headers=FLY_HEADERS) as r:
            if r.status != 200:
                text = await r.text()
                raise Exception(f"Bot was unable to enter started state: {text}")
@@ -122,7 +120,7 @@ async def spawn_fly_machine(room_url: str, token: str):
    print(f"Machine joined room: {room_url}")


-@app.post("/")
+@app.post("/start_bot")
 async def start_bot(request: Request) -> JSONResponse:
    try:
        data = await request.json()
@@ -136,23 +134,29 @@ async def start_bot(request: Request) -> JSONResponse:
    room_url = os.getenv("DAILY_SAMPLE_ROOM_URL", "")

    if not room_url:
-        params = DailyRoomParams(properties=DailyRoomProperties())
+        params = DailyRoomParams(
+            properties=DailyRoomProperties()
+        )
        try:
            room: DailyRoomObject = await daily_helpers["rest"].create_room(params=params)
        except Exception as e:
-            raise HTTPException(status_code=500, detail=f"Unable to provision room {e}")
+            raise HTTPException(
+                status_code=500,
+                detail=f"Unable to provision room {e}")
    else:
        # Check passed room URL exists, we should assume that it already has a sip set up
        try:
            room: DailyRoomObject = await daily_helpers["rest"].get_room_from_url(room_url)
        except Exception:
-            raise HTTPException(status_code=500, detail=f"Room not found: {room_url}")
+            raise HTTPException(
+                status_code=500, detail=f"Room not found: {room_url}")

    # Give the agent a token to join the session
    token = await daily_helpers["rest"].get_token(room.url, MAX_SESSION_TIME)

    if not room or not token:
-        raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room_url}")
+        raise HTTPException(
+            status_code=500, detail=f"Failed to get token for room: {room_url}")

    # Launch a new fly.io machine, or run as a shell process (not recommended)
    run_as_process = os.getenv("RUN_AS_PROCESS", False)
@@ -163,26 +167,24 @@ async def start_bot(request: Request) -> JSONResponse:
                [f"python3 -m bot -u {room.url} -t {token}"],
                shell=True,
                bufsize=1,
-                cwd=os.path.dirname(os.path.abspath(__file__)),
-            )
+                cwd=os.path.dirname(os.path.abspath(__file__)))
        except Exception as e:
-            raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
+            raise HTTPException(
+                status_code=500, detail=f"Failed to start subprocess: {e}")
    else:
        try:
            await spawn_fly_machine(room.url, token)
        except Exception as e:
-            raise HTTPException(status_code=500, detail=f"Failed to spawn VM: {e}")
+            raise HTTPException(
+                status_code=500, detail=f"Failed to spawn VM: {e}")

    # Grab a token for the user to join with
    user_token = await daily_helpers["rest"].get_token(room.url, MAX_SESSION_TIME)

-    return JSONResponse(
-        {
-            "room_url": room.url,
-            "token": user_token,
-        }
-    )
-
+    return JSONResponse({
+        "room_url": room.url,
+        "token": user_token,
+    })

 if __name__ == "__main__":
    # Check environment variables
@@ -191,19 +193,23 @@ if __name__ == "__main__":
            raise Exception(f"Missing environment variable: {env_var}.")

    parser = argparse.ArgumentParser(description="Pipecat Bot Runner")
-    parser.add_argument(
-        "--host", type=str, default=os.getenv("HOST", "0.0.0.0"), help="Host address"
-    )
-    parser.add_argument("--port", type=int, default=os.getenv("PORT", 7860), help="Port number")
-    parser.add_argument(
-        "--reload", action="store_true", default=False, help="Reload code on change"
-    )
+    parser.add_argument("--host", type=str,
+                        default=os.getenv("HOST", "0.0.0.0"), help="Host address")
+    parser.add_argument("--port", type=int,
+                        default=os.getenv("PORT", 7860), help="Port number")
+    parser.add_argument("--reload", action="store_true",
+                        default=False, help="Reload code on change")

    config = parser.parse_args()

    try:
        import uvicorn

-        uvicorn.run("bot_runner:app", host=config.host, port=config.port, reload=config.reload)
+        uvicorn.run(
+            "bot_runner:app",
+            host=config.host,
+            port=config.port,
+            reload=config.reload
+        )
    except KeyboardInterrupt:
        print("Pipecat runner shutting down...")
--- a/examples/deployment/modal-example/.gitignore
+++ b/examples/deployment/modal-example/.gitignore
@@ -1,91 +0,0 @@
-# Python
-__pycache__/
-*.py[cod]
-*$py.class
-*.so
-.Python
-build/
-dist/
-*.egg-info/
-*.egg
-.installed.cfg
-.eggs/
-downloads/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-MANIFEST
-
-# Virtual Environments
-venv/
-env/
-.env
-.venv/
-ENV/
-env.bak/
-venv.bak/
-
-# IDE
-.idea/
-.vscode/
-.spyderproject
-.spyproject
-.ropeproject
-
-# Testing and Coverage
-.coverage
-.coverage.*
-htmlcov/
-.pytest_cache/
-.tox/
-.nox/
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-.hypothesis/
-cover/
-
-# Logs and Databases
-*.log
-*.db
-db.sqlite3
-db.sqlite3-journal
-pip-log.txt
-
-# System Files
-.DS_Store
-Thumbs.db
-desktop.ini
-*.swp
-*.swo
-*.bak
-*.tmp
-*~
-
-# Build and Documentation
-docs/_build/
-.pybuilder/
-target/
-instance/
-.webassets-cache
-.pdm.toml
-.pdm-python
-.pdm-build/
-__pypackages__/
-
-# Other
-*.mo
-*.pot
-*.sage.py
-.mypy_cache/
-.dmypy.json
-dmypy.json
-.pyre/
-.pytype/
-cython_debug/
-.ipynb_checkpoints
--- a/examples/deployment/modal-example/README.md
+++ b/examples/deployment/modal-example/README.md
@@ -1,37 +0,0 @@
-# Deploying Pipecat to Modal.com
-
-Barebones deployment example for [modal.com](https://www.modal.com)
-
-1. Install dependencies
-
-```bash
-python -m venv venv
-source venv/bin/active # or OS equivalent
-pip install -r requirements.txt
-```
-
-2. Setup .env
-
-```bash
-cp env.example .env
-```
-
-Alternatively, you can configure your Modal app to use [secrets](https://modal.com/docs/guide/secrets)
-
-3. Test the app locally
-
-```bash
-modal serve app.py
-```
-
-4. Deploy to production
-
-```bash
-modal deploy app.py
-```
-
-## Configuration options
-
-This app sets some sensible defaults for reducing cold starts, such as `minkeep_warm=1`, which will keep at least 1 warm instance ready for your bot function.
-
-It has been configured to only allow a concurrency of 1 (`max_inputs=1`) as each user will require their own running function.
--- a/examples/deployment/modal-example/app.py
+++ b/examples/deployment/modal-example/app.py
@@ -1,80 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import os
-
-import aiohttp
-import modal
-from bot import _voice_bot_process
-from fastapi import HTTPException
-from fastapi.responses import JSONResponse
-from loguru import logger
-
-MAX_SESSION_TIME = 15 * 60  # 15 minutes
-
-app = modal.App("pipecat-modal")
-
-
-image = modal.Image.debian_slim(python_version="3.12").pip_install_from_requirements(
-    "requirements.txt"
-)
-
-
-@app.function(
-    image=image,
-    cpu=1.0,
-    secrets=[modal.Secret.from_dotenv()],
-    keep_warm=1,
-    enable_memory_snapshot=True,
-    max_inputs=1,  # Do not reuse instances across requests
-    retries=0,
-)
-def launch_bot_process(room_url: str, token: str):
-    _voice_bot_process(room_url, token)
-
-
-@app.function(
-    image=image,
-    secrets=[modal.Secret.from_dotenv()],
-)
-@modal.web_endpoint(method="POST")
-async def start():
-    from pipecat.transports.services.helpers.daily_rest import (
-        DailyRESTHelper,
-        DailyRoomParams,
-    )
-
-    logger.info("Request received")
-
-    async with aiohttp.ClientSession() as session:
-        daily_rest_helper = DailyRESTHelper(
-            daily_api_key=os.getenv("DAILY_API_KEY", ""),
-            daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
-            aiohttp_session=session,
-        )
-
-        # Create new Daily room
-        room = await daily_rest_helper.create_room(DailyRoomParams())
-        if not room.url:
-            raise HTTPException(
-                status_code=500,
-                detail="Unable to create room",
-            )
-        logger.info(f"Created room: {room.url}")
-
-        # Create bot token for room
-        token = await daily_rest_helper.get_token(room.url, MAX_SESSION_TIME)
-        if not token:
-            raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
-
-        logger.info(f"Bot token created: {token}")
-
-        # Spawn a new bot process
-        launch_bot_process.spawn(room_url=room.url, token=token)
-
-        # Return room URL to the user to join
-        # Note: in production, you would want to return a token to the user
-        return JSONResponse(content={"room_url": room.url, token: token})
--- a/examples/deployment/modal-example/bot.py
+++ b/examples/deployment/modal-example/bot.py
@@ -1,95 +0,0 @@
-#
-# Copyright (c) 2024–2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import asyncio
-import os
-import sys
-
-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.services.cartesia.tts import CartesiaTTSService
-from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.transports.services.daily import DailyParams, DailyTransport
-
-load_dotenv(override=True)
-
-logger.remove(0)
-logger.add(sys.stderr, level="DEBUG")
-
-
-async def main(room_url: str, token: str):
-    transport = DailyTransport(
-        room_url,
-        token,
-        "bot",
-        DailyParams(
-            audio_in_enabled=True,
-            audio_out_enabled=True,
-            transcription_enabled=True,
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
-    )
-
-    tts = CartesiaTTSService(
-        api_key=os.getenv("CARTESIA_API_KEY", ""), voice_id="71a7ad14-091c-4e8e-a314-022ece01c121"
-    )
-
-    llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
-
-    messages = [
-        {
-            "role": "system",
-            "content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
-        },
-    ]
-
-    context = OpenAILLMContext(messages)
-    context_aggregator = llm.create_context_aggregator(context)
-
-    pipeline = Pipeline(
-        [
-            transport.input(),
-            context_aggregator.user(),
-            llm,
-            tts,
-            transport.output(),
-            context_aggregator.assistant(),
-        ]
-    )
-
-    task = PipelineTask(
-        pipeline,
-        params=PipelineParams(
-            allow_interruptions=True,
-            enable_metrics=True,
-            enable_usage_metrics=True,
-            report_only_initial_ttfb=True,
-        ),
-    )
-
-    @transport.event_handler("on_first_participant_joined")
-    async def on_first_participant_joined(transport, participant):
-        await transport.capture_participant_transcription(participant["id"])
-        messages.append({"role": "system", "content": "Please introduce yourself to the user."})
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
-
-    @transport.event_handler("on_participant_left")
-    async def on_participant_left(transport, participant, reason):
-        await task.cancel()
-
-    runner = PipelineRunner()
-
-    await runner.run(task)
-
-
-def _voice_bot_process(room_url: str, token: str):
-    asyncio.run(main(room_url, token))
--- a/examples/deployment/modal-example/env.example
+++ b/examples/deployment/modal-example/env.example
@@ -1,3 +0,0 @@
-DAILY_API_KEY=
-OPENAI_API_KEY=
-CARTESIA_API_KEY=
--- a/examples/deployment/modal-example/requirements.txt
+++ b/examples/deployment/modal-example/requirements.txt
@@ -1,4 +0,0 @@
-python-dotenv==1.0.1
-modal==0.71.3
-pipecat-ai[daily,silero,cartesia,openai]
-fastapi==0.115.6
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/README.md
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/README.md
@@ -1,178 +0,0 @@
-# Handling PSTN/SIP Dial-in on Pipecat Cloud
-
-This repository contains two server implementations for handling
-the pinless dial-in workflow in Pipecat Cloud. This is the companion to the
-Pipecat Cloud [pstn_sip starter image](https://github.com/daily-co/pipecat-cloud-images/tree/main/pipecat-starters/pstn_sip).
-In addition you can use `/api/dial` to trigger dial-out, and
-eventually, call-transfers.
-
-1. [FastAPI Server](fastapi-webhook-server/README.md) -
-   A FastAPI implementation that handles PSTN (Public Switched Telephone
-   Network) and SIP (Session Initiation Protocol) calls using the Daily API.
-
-2. [Next.js Serverless](nextjs-webhook-server/README.md) -
-   A Next.js API implementation designed for deployment on Vercel's
-   serverless platform.
-
-Both implementations provide:
-
- HMAC signature validation for pinless webhook
- Structured logging
- Support for dial-in and dial-out settings
- Voicemail detection and call transfer functionality (coming soon)
- Test request handling
-
-## Choosing an Implementation
-
- Use the **FastAPI Server** if you:
-
-  - Need a standalone server
-  - Prefer Python and FastAPI
-  - Want to deploy to traditional hosting platforms
-
- Use the **Next.js Serverless** implementation if you:
-  - Want serverless deployment
-  - Prefer JavaScript/TypeScript
-  - Already use Next.js and Vercel for other projects
-  - Need quick scaling and zero maintenance
-
-## Prerequisites
-
-### Environment Variables
-
-Both implementations require similar environment variables:
-
- `PIPECAT_CLOUD_API_KEY`: Pipecat Cloud API Key, begins with pk\_\*
- `AGENT_NAME`: Your Daily agent name
- `PINLESS_HMAC_SECRET`: Your HMAC secret for request verification
- `LOG_LEVEL`: (Optional) Logging level (defaults to 'info')
-
-See the individual README files in each implementation directory for
-specific setup instructions.
-
-### Phone number setup
-
-You can buy a phone number through the Pipecat Cloud Dashboard:
-
-1. Go to `Settings` > `Telephony`
-2. Follow the UI to purchase a phone number
-3. Configure the webhook URL to receive incoming calls (e.g. `https://my-webhook-url.com/api/dial`)
-
-Or purchase the number using Daily's
-[PhoneNumbers API](https://docs.daily.co/reference/rest-api/phone-numbers).
-
-```bash
-curl --request POST \
--url https://api.daily.co/v1/domain-dialin-config \
--header 'Authorization: Bearer $TOKEN' \
--header 'Content-Type: application/json' \
--data-raw '{
-	"type": "pinless_dialin",
-	"name_prefix": "Customer1",
-    "phone_number": "+1PURCHASED_NUM",
-	"room_creation_api": "https://example.com/api/dial",
-    "hold_music_url": "https://example.com/static/ringtone.mp3",
-	"timeout_config": {
-		"message": "No agent is available right now"
-	}
-}'
-```
-
-The API will return a static SIP URI (`sip_uri`) that can be called
-from other SIP services.
-
-### `room_creation_api`
-
-To make and receive calls currently you have to host a server that
-handles incoming calls. In the coming weeks, incoming calls will be
-directly handled within Daily and we will expose an endpoint similar
-to `{service}/start` that will manage this for you.
-
-In the meantime, the server described below serves as the webhook
-handler for the `room_creation_api`. Configure your pinless phone
-number or SIP interconnect to the `ngrok` tunnel or
-the actual server URL, append `/api/dial` to the webhook URL.
-
-## Example curl commands
-
-Note: Replace `http://localhost:3000` with your actual server URL and
-phone numbers with valid values for your use case.
-
-### Dialin Request
-
-The server will receive a request when a call is received from Daily.
-
-### Dialout Request
-
-Dial a number, will use any purchased number
-
-```bash
-curl -X POST http://localhost:3000/api/dial \
-  -H "Content-Type: application/json" \
-  -d '{
-    "dialout_settings": [
-      {
-        "phoneNumber": "+1234567890",
-      }
-    ]
-  }'
-```
-
-Dial a number with callerId, which is the UUID of a purchased number.
-
-```bash
-curl -X POST http://localhost:3000/api/dial \
-  -H "Content-Type: application/json" \
-  -d '{
-    "dialout_settings": [
-      {
-        "phoneNumber": "+1234567890",
-        "callerId": "purchased_phone_uuid"
-      }
-    ]
-  }'
-```
-
-Dial a number
-
-```bash
-curl -X POST http://localhost:3000/api/dial \
-  -H "Content-Type: application/json" \
-  -d '{
-    "dialout_settings": [
-      {
-        "phoneNumber": "+1234567890",
-        "callerId": "purchased_phone_uuid"
-      }
-    ]
-  }'
-```
-
-### Advanced Request with Voicemail Detection
-
-```bash
-curl -X POST http://localhost:3000/api/dial \
-  -H "Content-Type: application/json" \
-  -d '{
-    "To": "+1234567890",
-    "From": "+1987654321",
-    "callId": "call-uuid-123",
-    "callDomain": "domain-uuid-456",
-    "dialout_settings": [
-      {
-        "phoneNumber": "+1234567890",
-        "callerId": "purchased_phone_uuid"
-      }
-    ],
-    "voicemail_detection": {
-      "testInPrebuilt": true
-    },
-    "call_transfer": {
-      "mode": "dialout",
-      "speakSummary": true,
-      "storeSummary": true,
-      "operatorNumber": "+1234567890",
-      "testInPrebuilt": true
-    }
-  }'
-```
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/fastapi-webhook-server/README.md
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/fastapi-webhook-server/README.md
@@ -1,98 +0,0 @@
-# FastAPI server for handling Daily PSTN/SIP Webhook
-
-A FastAPI server that handles PSTN (Public Switched Telephone Network) and SIP (Session Initiation Protocol) calls using the Daily API.
-
-## Setup
-
-1. Clone the repository
-
-2. Navigate to the `fastapi-webhook-server` directory:
-
-   ```bash
-   cd fastapi-webhook-server
-   ```
-
-3. Install dependencies:
-
-   ```bash
-   pip install -r requirements.txt
-   ```
-
-4. Copy `env.example` to `.env`:
-
-   ```bash
-   cp env.example .env
-   ```
-
-5. Update `.env` with your credentials:
-
-   - `AGENT_NAME`: Your Daily agent name
-   - `PIPECAT_CLOUD_API_KEY`: Your Daily API key
-   - `PINLESS_HMAC_SECRET`: Your HMAC secret for request verification
-
-## Running the Server
-
-Start the server:
-
-```bash
-python server.py
-```
-
-The server will run on `http://localhost:7860` and you can expose it via ngrok for testing:
-
-```bash
-`ngrok http 7860`
-```
-
-> Tip: Use a subdomain for a consistent URL (e.g. `ngrok http -subdomain=mydomain http://localhost:7860`)
-
-## API Endpoints
-
-### GET /
-
-Health check endpoint that returns a "Hello, World!" message.
-
-### POST /api/dial
-
-Initiates a PSTN/SIP call with the following request body format:
-
-```json
-{
-  "To": "+14152251493",
-  "From": "+14158483432",
-  "callId": "string-contains-uuid",
-  "callDomain": "string-contains-uuid",
-  "dialout_settings": [
-    {
-      "phoneNumber": "+14158483432",
-      "callerId": "+14152251493"
-    }
-  ],
-  "voicemail_detection": {
-    "testInPrebuilt": true
-  },
-  "call_transfer": {
-    "mode": "dialout",
-    "speakSummary": true,
-    "storeSummary": true,
-    "operatorNumber": "+14152250006",
-    "testInPrebuilt": true
-  }
-}
-```
-
-#### Response
-
-Returns a JSON object containing:
-
- `status`: Success/failure status
- `data`: Response from Daily API
- `room_properties`: Properties of the created Daily room
-
-## Error Handling
-
- 401: Invalid signature
- 400: Invalid authorization header (e.g. missing Daily API key in bot.py)
- 405: Method not allowed (e.g. incorrect route on the webhook URL)
- 500: Server errors (missing API key, network issues)
- Other status codes are passed through from the Daily API
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/fastapi-webhook-server/env.example
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/fastapi-webhook-server/env.example
@@ -1,3 +0,0 @@
-AGENT_NAME="your-agent-name"
-PIPECAT_CLOUD_API_KEY="your-daily-api-key"
-PINLESS_HMAC_SECRET="hmac-secret-pinless-dialin"
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/fastapi-webhook-server/requirements.txt
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/fastapi-webhook-server/requirements.txt
@@ -1,6 +0,0 @@
-fastapi
-uvicorn
-python-dotenv
-requests
-pydantic
-loguru
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/fastapi-webhook-server/server.py
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/fastapi-webhook-server/server.py
@@ -1,202 +0,0 @@
-#
-# Copyright (c) 2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-# server.py
-
-
-import base64  # for calculating hmac signature
-import hmac
-import os  # for accessing environment variables
-import time  # for setting expiration time
-from typing import Any, Dict, List, Optional
-
-import requests
-from dotenv import load_dotenv
-from fastapi import FastAPI, HTTPException, Request
-from loguru import logger
-from pydantic import BaseModel, Field
-
-load_dotenv(override=True)
-
-app = FastAPI()
-
-
-class RoomRequest(BaseModel):
-    test: Optional[str] = Field(None, alias="Test", description="Test field")
-    To: Optional[str] = Field(None, alias="to", description="Destination phone number")
-    From: Optional[str] = Field(None, alias="from", description="Source phone number")
-    callId: Optional[str] = Field(None, alias="call_id", description="Unique call identifier")
-    callDomain: Optional[str] = Field(
-        None, alias="call_domain", description="Call domain identifier"
-    )
-    dialout_settings: Optional[List[Dict[str, Any]]] = Field(
-        None, description="An array of phone numbers or SIP URIs to dialout to"
-    )
-    voicemail_detection: Optional[Dict[str, Any]] = Field(
-        None, description="A flag to perform voicemail or answeing-machine detection"
-    )
-    call_transfer: Optional[Dict[str, Any]] = Field(None, description="to initiate a call transfer")
-
-    class Config:
-        populate_by_name = True
-        alias_generator = None
-
-
-"""
-    body can contain any fields, but for handling PSTN/SIP, 
-    we recommend sending the following custom values:
-    dialin, dialout, voicemail detection, and call transfer
-    
-    
-    "To": "+14152251493",
-    "From": "+14158483432",
-    "callId": "string-contains-uuid",
-    "callDomain": "string-contains-uuid"
-    These need to be remapped to dialin_settings
-
-    "dialout_settings": [
-        {"phoneNumber": "+14158483432", "callerId": "+14152251493"}, 
-        {"sipUri": "sip:username@sip.hostname"}
-        ],
-    },
-
-    voicemail_detection:{
-        testInPrebuilt: true
-    },
-
-    "call_transfer": {
-        "mode": "dialout",
-        "speakSummary": true,
-        "storeSummary": true,
-        "operatorNumber": "+14152250006",
-        "testInPrebuilt": true
-    }
-"""
-
-
-@app.get("/")
-async def read_root():
-    return {"message": "Hello, World!"}
-
-
-@app.post("/api/dial")
-async def dial(request: RoomRequest, raw_request: Request):
-    logger.info("Incoming request to /dial:")
-    logger.info(f"Headers: {dict(raw_request.headers)}")
-    raw_body = await raw_request.body()
-    raw_body_str = raw_body.decode()
-    logger.info(f"Raw body: {raw_body_str}")
-    logger.info(f"Parsed body: {request.dict()}")
-
-    # calculate signature and compare/verify
-    hmac_secret = os.getenv("PINLESS_HMAC_SECRET")
-    timestamp = raw_request.headers.get("x-pinless-timestamp")
-    signature = raw_request.headers.get("x-pinless-signature")
-
-    if not hmac_secret:
-        logger.debug("Skipping HMAC validation - PINLESS_HMAC_SECRET not set")
-    elif timestamp and signature:
-        message = timestamp + "." + raw_body_str
-
-        base64_decoded_secret = base64.b64decode(hmac_secret)
-        computed_signature = base64.b64encode(
-            hmac.new(base64_decoded_secret, message.encode(), "sha256").digest()
-        ).decode()
-
-        if computed_signature != signature:
-            logger.error(f"Invalid signature. Expected {signature}, got {computed_signature}")
-            raise HTTPException(status_code=401, detail="Invalid signature")
-    else:
-        logger.debug("Skipping HMAC validation - no signature headers present")
-
-    if request.test == "test":
-        logger.debug("Test request received")
-        return {"status": "success", "message": "Test request received"}
-
-    dialin_settings = None
-    # these fields are camelCase in the request
-    required_fields = ["To", "From", "callId", "callDomain"]
-    if all(
-        field in request.dict() and request.dict()[field] is not None for field in required_fields
-    ):
-        # transform from camelCase to snake_case because daily-python expects snake_case
-        dialin_settings = {
-            "From": request.From,
-            "To": request.To,
-            "call_id": request.callId,
-            "call_domain": request.callDomain,
-            # transform from camelCase to snake_case
-        }
-        logger.debug(f"Populated dialin_settings from request: {dialin_settings}")
-
-    daily_room_properties = {
-        "enable_dialout": request.dialout_settings is not None,
-    }
-
-    if dialin_settings is not None:
-        sip_config = {
-            "display_name": request.From,
-            "sip_mode": "dial-in",
-            "num_endpoints": 2 if request.call_transfer is not None else 1,
-            "codecs": {"audio": ["OPUS"]},
-        }
-        daily_room_properties["sip"] = sip_config
-
-    # Setting default expiry to 5 minutes from now
-    daily_room_properties["exp"] = int(time.time()) + (5 * 60)
-
-    logger.debug(f"Daily room properties: {daily_room_properties}")
-    payload = {
-        "createDailyRoom": True,
-        "dailyRoomProperties": daily_room_properties,
-        "body": {
-            "dialin_settings": dialin_settings,
-            "dialout_settings": request.dialout_settings,
-            "voicemail_detection": request.voicemail_detection,
-            "call_transfer": request.call_transfer,
-        },
-    }
-
-    pcc_api_key = os.getenv("PIPECAT_CLOUD_API_KEY")
-    agent_name = os.getenv("AGENT_NAME", "my-first-agent")
-
-    if not pcc_api_key:
-        raise HTTPException(status_code=500, detail="DAILY_API_KEY environment variable is not set")
-
-    headers = {"Authorization": f"Bearer {pcc_api_key}", "Content-Type": "application/json"}
-
-    url = f"https://api.pipecat.daily.co/v1/public/{agent_name}/start"
-
-    logger.debug(f"Making API call to Daily: {url} {headers} {payload}")
-
-    try:
-        response = requests.post(url, json=payload, headers=headers)
-        response.raise_for_status()
-        response_data = response.json()
-        logger.debug(f"Response: {response_data}")
-        return {
-            "status": "success",
-            "data": response_data,
-            "room_properties": daily_room_properties,
-        }
-    except requests.exceptions.HTTPError as e:
-        # Pass through the status code and error details from the Daily API
-        status_code = e.response.status_code
-        error_detail = e.response.json() if e.response.content else str(e)
-        logger.error(f"HTTP error: {error_detail}")
-        raise HTTPException(status_code=status_code, detail=error_detail)
-    except requests.exceptions.RequestException as e:
-        logger.error(f"Request error: {str(e)}")
-        raise HTTPException(status_code=500, detail=str(e))
-
-
-if __name__ == "__main__":
-    try:
-        import uvicorn
-
-        uvicorn.run(app, host="0.0.0.0", port=7860)
-    except KeyboardInterrupt:
-        logger.info("Server stopped manually")
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/.gitignore
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/.gitignore
@@ -1,53 +0,0 @@
-# dependencies
-/node_modules
-/.pnp
-.pnp.js
-
-# testing
-/coverage
-
-# next.js
-/.next/
-/out/
-
-# production
-/build
-
-# misc
-.DS_Store
-*.pem
-
-# debug
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-.pnpm-debug.log*
-
-# local env files
-.env*.local
-
-# vercel
-.vercel
-
-# typescript
-*.tsbuildinfo
-next-env.d.ts
-
-# IDE specific files
-.idea/
-.vscode/
-*.swp
-*.swo
-
-# Logs
-logs
-*.log
-
-# OS generated files
-.DS_Store
-.DS_Store?
-._*
-.Spotlight-V100
-.Trashes
-ehthumbs.db
-Thumbs.db
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/README.md
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/README.md
@@ -1,115 +0,0 @@
-# Next.js server for handling Daily PSTN/SIP Webhook
-
-Next.js API routes for handling Daily PSTN/SIP Pipecat requests.
-
-## Features
-
- API endpoint for handling Daily PSTN/SIP Pipecat requests
- HMAC signature validation
- Structured logging with Pino
- Support for dial-in and dial-out settings
- Voicemail detection and call transfer functionality
- Test request handling
-
-## Setup
-
-1. Clone the repository
-
-2. Navigate to the `nextjs-webhook-server` directory:
-
-   ```bash
-   cd nextjs-webhook-server
-   ```
-
-3. Install dependencies:
-
-   ```bash
-   npm install
-   ```
-
-4. Create `.env.local` file with your credentials:
-
-   ```bash
-   cp env.local.example .env.local
-   ```
-
-5. Update your `.env` with your secrets:
-
-   ```bash
-   PIPECAT_CLOUD_API_KEY=pk_*
-   AGENT_NAME=my-first-agent
-   PINLESS_HMAC_SECRET=your_hmac_secret
-   LOG_LEVEL=info
-   ```
-
-### Running the server
-
-Run the development server:
-
-```bash
-npm run dev
-```
-
-The server will run on `http://localhost:7860` and you can expose it via ngrok for testing:
-
-```bash
-`ngrok http 7860`
-```
-
-> Tip: Use a subdomain for a consistent URL (e.g. `ngrok http -subdomain=mydomain http://localhost:7860`)
-
-## API Endpoints
-
-### GET /api
-
-Returns a simple "Hello, World!" message with a cute cat emoji to verify the server is running.
-
-### POST /api/dial
-
-Handles dial-in and dial-out requests for Pipecat Cloud.
-
-#### Test Requests
-
-The endpoint handles test requests when a webhook is configured. Send a request with `"Test": "test"` to verify your setup:
-
-```json
-{
-  "Test": "test"
-}
-```
-
-#### Production Request Format
-
-```json
-{
-  // for dial-in from webhook
-  "To": "+14152251493",
-  "From": "+14158483432",
-  "callId": "string-contains-uuid",
-  "callDomain": "string-contains-uuid",
-  // for making a dial out to a phone or SIP
-  "dialout_settings": [
-    { "phoneNumber": "+14158483432", "callerId": "purchased_phone_uuid" },
-    { "sipUri": "sip:username@sip.hostname.com" }
-  ]
-}
-```
-
-## Deployment
-
-The application is configured for Vercel deployment:
-
-1. Push your code to a Git repository
-2. Import your project in Vercel dashboard
-3. Configure environment variables:
-   - `PIPECAT_CLOUD_API_KEY`
-   - `AGENT_NAME`
-   - `PINLESS_HMAC_SECRET`
-   - `LOG_LEVEL` (optional, defaults to 'info')
-4. Deploy!
-
-## Security
-
- HMAC signature validation for request authentication
- Environment variables for sensitive credentials
- Method validation (POST only for /dial)
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/env.local.example
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/env.local.example
@@ -1,4 +0,0 @@
-AGENT_NAME=my-first-agent
-PIPECAT_CLOUD_API_KEY=your_daily_api_key
-PINLESS_HMAC_SECRET=your_hmac_secret
-LOG_LEVEL="info"
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/package-lock.json
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/package-lock.json
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/package.json
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/package.json
@@ -1,22 +0,0 @@
-{
-  "name": "my-daily-app",
-  "version": "0.1.0",
-  "private": true,
-  "scripts": {
-    "dev": "next dev -p 7860",
-    "build": "next build",
-    "start": "next start -p 7860",
-    "lint": "next lint"
-  },
-  "dependencies": {
-    "axios": "^1.6.0",
-    "next": "^14.0.0",
-    "pino": "^8.15.0",
-    "react": "^18.2.0",
-    "react-dom": "^18.2.0"
-  },
-  "devDependencies": {
-    "eslint": "^8.46.0",
-    "eslint-config-next": "^14.0.0"
-  }
-}
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/pages/api/dial.js
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/pages/api/dial.js
@@ -1,176 +0,0 @@
-import { logger } from '../../lib/utils'; 
-import axios from 'axios';
-import crypto from 'crypto';
-
-const validateSignature = (body, signature, timestamp, secret) => {
-  // Skip if any required fields are missing
-  if (!signature || !timestamp || !secret) {
-    logger.warn('Missing required fields for HMAC validation');
-    return true;
-  }
-
-  try {
-    const decodedSecret = Buffer.from(secret, 'base64');
-    const hmac = crypto.createHmac('sha256', decodedSecret);
-    const signatureData = `${timestamp}.${body}`;
-    const computedSignature = hmac.update(signatureData).digest('base64');
-    
-    logger.debug('Signature validation:', {
-      timestamp,
-      signatureData: signatureData.substring(0, 50) + '...',
-      computedSignature,
-      receivedSignature: signature
-    });
-    
-    return computedSignature === signature;
-  } catch (error) {
-    logger.error('Error validating signature:', error);
-    return true; // Allow request to proceed on error
-  }
-};
-
-export default async function handler(req, res) {
-  // Only allow POST requests
-  if (req.method !== 'POST') {
-    return res.status(405).json({ error: 'Method not allowed' });
-  }
-
-  try {
-    logger.info('Incoming request to /api/dial:');
-    logger.info(`Headers: ${JSON.stringify(req.headers)}`);
-    
-    const rawBody = JSON.stringify(req.body);
-    logger.info(`Raw body: ${rawBody}`);
-
-    const signature = req.headers['x-pinless-signature'];
-    const timestamp = req.headers['x-pinless-timestamp'];
-    
-    if (signature && timestamp) {
-      logger.info('Validating HMAC signature');
-      if (!validateSignature(rawBody, signature, timestamp, process.env.PINLESS_HMAC_SECRET)) {
-        logger.error('Invalid HMAC signature', { signature, timestamp });
-        return res.status(401).json({ 
-          error: 'Invalid signature',
-          message: 'Invalid HMAC signature'
-        });
-      }
-    } else {
-      logger.info('Skipping HMAC validation - no signature headers present');
-    }
-
-    // Extract request data
-    const {
-      Test: test,
-      To,
-      From,
-      callId,
-      callDomain,
-      dialout_settings,
-      voicemail_detection,
-      call_transfer
-    } = req.body;
-
-    // Handle test requests when a webhook is configured
-    if (test === 'test') {
-      logger.debug('Test request received');
-      return res.status(200).json({ status: 'success', message: 'Test request received' });
-    }
-
-    // Process dialin settings
-    let dialin_settings = null;
-    const requiredFields = ['To', 'From', 'callId', 'callDomain'];
-    
-    if (requiredFields.every(field => req.body[field] !== undefined && req.body[field] !== null)) {
-      dialin_settings = {
-        // snake_case because pipecat expects this format
-        From,
-        To,
-        call_id: callId, 
-        call_domain: callDomain,
-      };
-      logger.debug(`Populated dialin_settings from request: ${JSON.stringify(dialin_settings)}`);
-    }
-
-    // Set up Daily room properties
-    const daily_room_properties = {
-      enable_dialout: dialout_settings !== undefined && dialout_settings !== null,
-      exp: Math.floor(Date.now() / 1000) + (5 * 60), // 5 minutes from now
-    };
-
-    // Configure SIP if dialin settings are provided
-    if (dialin_settings !== null) {
-      const sip_config = {
-        display_name: From,
-        sip_mode: 'dial-in',
-        num_endpoints: call_transfer !== null ? 2 : 1,
-        codecs: {"audio": ["OPUS"]},
-      };
-      daily_room_properties.sip = sip_config;
-    }
-
-    // Prepare payload for {service}/start API call
-    const payload = {
-      createDailyRoom: true,
-      dailyRoomProperties: daily_room_properties,
-      body: {
-        dialin_settings,
-        dialout_settings,
-        voicemail_detection,
-        call_transfer,
-      },
-    };
-
-    logger.debug(`Daily room properties: ${JSON.stringify(daily_room_properties)}`);
-
-    // Get Daily API key and agent name from environment variables
-    const pccApiKey = process.env.PIPECAT_CLOUD_API_KEY;
-    const agentName = process.env.AGENT_NAME || 'my-first-agent';
-
-    if (!pccApiKey) {
-      throw new Error('PIPECAT_CLOUD_API_KEY environment variable is not set');
-    }
-
-    // Set up headers for Daily API call
-    const headers = {
-      'Authorization': `Bearer ${pccApiKey}`,
-      'Content-Type': 'application/json',
-    };
-
-    const url = `https://api.pipecat.daily.co/v1/public/${agentName}/start`;
-    logger.debug(`Making API call to Daily: ${url} ${JSON.stringify(headers)} ${JSON.stringify(payload)}`);
-    
-    try {
-      const response = await axios.post(url, payload, { headers });
-      logger.debug(`Response: ${JSON.stringify(response.data)}`);
-      
-      return res.status(200).json({
-        status: 'success',
-        data: response.data,
-        room_properties: daily_room_properties,
-      });
-    } catch (error) {
-      if (error.response) {
-        // Pass through status code and error details from the Daily API
-        const statusCode = error.response.status;
-        const errorDetail = error.response.data || error.message;
-        logger.error(`HTTP error: ${JSON.stringify(errorDetail)}`);
-        return res.status(statusCode).json(errorDetail);
-      } else {
-        logger.error(`Request error: ${error.message}`);
-        return res.status(500).json({ error: error.message });
-      }
-    }    
-  } catch (error) {
-    logger.error(`Unexpected error: ${error.message}`);
-    return res.status(500).json({ error: 'Internal server error', message: error.message });
-  }
-}
-
-// Configure body parser to preserve raw body text
-export const config = {
-  api: {
-    bodyParser: {
-      sizeLimit: '1mb',
-    },
-  },
-};
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/pages/api/index.js
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/pages/api/index.js
@@ -1,6 +0,0 @@
-import { logger } from '../../lib/utils';
-
-export default function handler(req, res) {
-  logger.info('Received request to /api');
-  res.status(200).json({ message: 'Hello, World! from ᓚᘏᗢ' });
-}
--- a/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/vercel.js
+++ b/examples/deployment/pipecat-cloud-daily-pstn-server/nextjs-webhook-server/vercel.js
@@ -1,6 +0,0 @@
-module.exports = {
-  version: 2,
-  buildCommand: "next build",
-  outputDirectory: ".next",
-  cleanUrls: true
-};
--- a/examples/deployment/pipecat-cloud-example/.gitignore
+++ b/examples/deployment/pipecat-cloud-example/.gitignore
@@ -1,94 +0,0 @@
-# Python
-__pycache__/
-*.py[cod]
-*$py.class
-*.so
-.Python
-build/
-dist/
-*.egg-info/
-*.egg
-.installed.cfg
-.eggs/
-downloads/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-MANIFEST
-
-# Virtual Environments
-venv/
-env/
-.env
-.venv/
-ENV/
-env.bak/
-venv.bak/
-
-# IDE
-.idea/
-.vscode/
-.spyderproject
-.spyproject
-.ropeproject
-
-# Testing and Coverage
-.coverage
-.coverage.*
-htmlcov/
-.pytest_cache/
-.tox/
-.nox/
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-.hypothesis/
-cover/
-
-# Logs and Databases
-*.log
-*.db
-db.sqlite3
-db.sqlite3-journal
-pip-log.txt
-
-# System Files
-.DS_Store
-Thumbs.db
-desktop.ini
-*.swp
-*.swo
-*.bak
-*.tmp
-*~
-
-# Build and Documentation
-docs/_build/
-.pybuilder/
-target/
-instance/
-.webassets-cache
-.pdm.toml
-.pdm-python
-.pdm-build/
-__pypackages__/
-
-# Other
-*.mo
-*.pot
-*.sage.py
-.mypy_cache/
-.dmypy.json
-dmypy.json
-.pyre/
-.pytype/
-cython_debug/
-.ipynb_checkpoints
-
-# Pipecat cloud
-.pcc-deploy.toml
--- a/examples/deployment/pipecat-cloud-example/Dockerfile
+++ b/examples/deployment/pipecat-cloud-example/Dockerfile
@@ -1,7 +0,0 @@
-FROM dailyco/pipecat-base:latest
-
-COPY ./requirements.txt requirements.txt
-
-RUN pip install --no-cache-dir --upgrade -r requirements.txt
-
-COPY ./bot.py bot.py
--- a/examples/deployment/pipecat-cloud-example/README.md
+++ b/examples/deployment/pipecat-cloud-example/README.md
@@ -1,196 +0,0 @@
-# Pipecat Cloud Starter Project
-
-[![Docs](https://img.shields.io/badge/Documentation-blue)](https://docs.pipecat.daily.co) [![Discord](https://img.shields.io/discord/1217145424381743145)](https://discord.gg/dailyco)
-
-A template voice agent for [Pipecat Cloud](https://www.daily.co/products/pipecat-cloud/) that demonstrates building and deploying a conversational AI agent.
-
-> **For a detailed step-by-step guide, see our [Quickstart Documentation](https://docs.pipecat.daily.co/quickstart).**
-
-## Prerequisites
-
- Python 3.10+
- Linux, MacOS, or Windows Subsystem for Linux (WSL)
- [Docker](https://www.docker.com) and a Docker repository (e.g., [Docker Hub](https://hub.docker.com))
- A Docker Hub account (or other container registry account)
- [Pipecat Cloud](https://pipecat.daily.co) account
-
-> **Note**: If you haven't installed Docker yet, follow the official installation guides for your platform ([Linux](https://docs.docker.com/engine/install/), [Mac](https://docs.docker.com/desktop/setup/install/mac-install/), [Windows](https://docs.docker.com/desktop/setup/install/windows-install/)). For Docker Hub, [create a free account](https://hub.docker.com/signup) and log in via terminal with `docker login`.
-
-## Get Started
-
-### 1. Get the starter project
-
-Clone the starter project from GitHub:
-
-```bash
-git clone https://github.com/daily-co/pipecat-cloud-starter
-cd pipecat-cloud-starter
-```
-
-### 2. Set up your Python environment
-
-We recommend using a virtual environment to manage your Python dependencies.
-
-```bash
-# Create a virtual environment
-python -m venv .venv
-
-# Activate it
-source .venv/bin/activate  # On Windows: .venv\Scripts\activate
-
-# Install the Pipecat Cloud CLI
-pip install pipecatcloud
-```
-
-### 3. Authenticate with Pipecat Cloud
-
-```bash
-pcc auth login
-```
-
-### 4. Acquire required API keys
-
-This starter requires the following API keys:
-
- **OpenAI API Key**: Get from [platform.openai.com/api-keys](https://platform.openai.com/api-keys)
- **Cartesia API Key**: Get from [play.cartesia.ai/keys](https://play.cartesia.ai/keys)
- **Daily API Key**: Automatically provided through your Pipecat Cloud account
-
-### 5. Configure to run locally (optional)
-
-You can test your agent locally before deploying to Pipecat Cloud:
-
-```bash
-# Set environment variables with your API keys
-export CARTESIA_API_KEY="your_cartesia_key"
-export DAILY_API_KEY="your_daily_key"
-export OPENAI_API_KEY="your_openai_key"
-```
-
-> Your `DAILY_API_KEY` can be found at [https://pipecat.daily.co](https://pipecat.daily.co) under the `Settings` in the `Daily (WebRTC)` tab.
-
-First install requirements:
-
-```bash
-pip install -r requirements.txt
-```
-
-Then, launch the bot.py script locally:
-
-```bash
-LOCAL_RUN=1 python bot.py
-```
-
-## Deploy & Run
-
-### 1. Build and push your Docker image
-
-```bash
-# Build the image (targeting ARM architecture for cloud deployment)
-docker build --platform=linux/arm64 -t my-first-agent:latest .
-
-# Tag with your Docker username and version
-docker tag my-first-agent:latest your-username/my-first-agent:0.1
-
-# Push to Docker Hub
-docker push your-username/my-first-agent:0.1
-```
-
-### 2. Create a secret set for your API keys
-
-The starter project requires API keys for OpenAI and Cartesia:
-
-```bash
-# Copy the example env file
-cp env.example .env
-
-# Edit .env to add your API keys:
-# CARTESIA_API_KEY=your_cartesia_key
-# OPENAI_API_KEY=your_openai_key
-
-# Create a secret set from your .env file
-pcc secrets set my-first-agent-secrets --file .env
-```
-
-Alternatively, you can create secrets directly via CLI:
-
-```bash
-pcc secrets set my-first-agent-secrets \
-  CARTESIA_API_KEY=your_cartesia_key \
-  OPENAI_API_KEY=your_openai_key
-```
-
-### 3. Deploy to Pipecat Cloud
-
-```bash
-pcc deploy my-first-agent your-username/my-first-agent:0.1 --secrets my-first-agent-secrets
-```
-
-> **Note (Optional)**: For a more maintainable approach, you can use the included `pcc-deploy.toml` file:
->
-> ```toml
-> agent_name = "my-first-agent"
-> image = "your-username/my-first-agent:0.1"
-> secret_set = "my-first-agent-secrets"
->
-> [scaling]
->     min_instances = 0
-> ```
->
-> Then simply run `pcc deploy` without additional arguments.
-
-> **Note**: If your repository is private, you'll need to add credentials:
->
-> ```bash
-> # Create pull secret (you’ll be prompted for credentials)
-> pcc secrets image-pull-secret pull-secret https://index.docker.io/v1/
->
-> # Deploy with credentials
-> pcc deploy my-first-agent your-username/my-first-agent:0.1 --credentials pull-secret
-> ```
-
-### 4. Check deployment and scaling (optional)
-
-By default, your agent will use "scale-to-zero" configuration, which means it may have a cold start of around 10 seconds when first used. By default, idle instances are maintained for 5 minutes before being terminated when using scale-to-zero.
-
-For more responsive testing, you can scale your deployment to keep a minimum of one instance warm:
-
-```bash
-# Ensure at least one warm instance is always available
-pcc deploy my-first-agent your-username/my-first-agent:0.1 --min-instances 1
-
-# Check the status of your deployment
-pcc agent status my-first-agent
-```
-
-By default, idle instances are maintained for 5 minutes before being terminated when using scale-to-zero.
-
-### 5. Create an API key
-
-```bash
-# Create a public API key for accessing your agent
-pcc organizations keys create
-
-# Set it as the default key to use with your agent
-pcc organizations keys use
-```
-
-### 6. Start your agent
-
-```bash
-# Start a session with your agent in a Daily room
-pcc agent start my-first-agent --use-daily
-```
-
-This will return a URL, which you can use to connect to your running agent.
-
-## Documentation
-
-For more details on Pipecat Cloud and its capabilities:
-
- [Pipecat Cloud Documentation](https://docs.pipecat.daily.co)
- [Pipecat Project Documentation](https://docs.pipecat.ai)
-
-## Support
-
-Join our [Discord community](https://discord.gg/dailyco) for help and discussions.
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