Merge pull request #3906 from pipecat-ai/changelog-0.0.104

Release 0.0.104 - Changelog Update

.claude-plugin/marketplace.json

@@ -0,0 +1,27 @@
+{
+  "name": "pipecat-dev-skills",
+  "owner": {
+    "name": "Pipecat"
+  },
+  "metadata": {
+    "description": "Development workflow skills for contributing to the Pipecat project",
+    "version": "1.0.0"
+  },
+  "plugins": [
+    {
+      "name": "pipecat-dev",
+      "description": "Development workflow skills for contributing to the Pipecat project",
+      "version": "1.0.0",
+      "source": "./",
+      "skills": [
+        "./.claude/skills/changelog",
+        "./.claude/skills/cleanup",
+        "./.claude/skills/code-review",
+        "./.claude/skills/docstring",
+        "./.claude/skills/pr-description",
+        "./.claude/skills/pr-submit",
+        "./.claude/skills/update-docs"
+      ]
+    }
+  ]
+}

.claude/settings.json

@@ -0,0 +1,5 @@
+{
+  "attribution": {
+    "commit": ""
+  }
+}

.claude/skills/changelog/SKILL.md

@@ -26,7 +26,7 @@ Create changelog files for the important commits in this PR. The PR number is pr
    - `{PR_NUMBER}.performance.md` - for performance improvements
    - `{PR_NUMBER}.other.md` - for other changes
 
-4. Each changelog file should at least contain a main single line starting with `- ` followed by a clear description of the change.
+4. Each changelog file should at least contain a main single line starting with `- ` followed by a clear description of the change. No line wrapping.
 
 5. If the change is complicated, changelog files can have indented lines after the main line with additional details or code samples.
 

.claude/skills/cleanup/SKILL.md

@@ -0,0 +1,307 @@
+# Code Cleanup Skill
+
+The **Code Cleanup Skill** reviews, refactors, and documents code changes in your current branch, ensuring alignment with **Pipecat's architecture, coding standards, and example patterns**.
+It focuses on **readability, correctness, performance, and consistency**, while avoiding breaking changes.
+
+---
+
+## Skill Overview
+
+This skill analyzes all changes introduced in your branch and performs the following actions:
+
+1. **Analyze Branch Changes**
+   - Review uncommitted changes and outgoing commits
+2. **Refactor for Readability**
+   - Improve clarity, naming, structure, and modern Python usage
+3. **Enhance Performance**
+   - Identify safe, conservative optimization opportunities
+4. **Add Documentation**
+   - Apply Pipecat-style, Google-format docstrings
+5. **Ensure Pattern Consistency**
+   - Match existing Pipecat services, pipelines, and examples
+6. **Validate Examples**
+   - Ensure examples follow foundational patterns (e.g. `07-interruptible.py`)
+
+---
+
+## Usage
+
+Invoke the skill using any of the following commands:
+
+- "Clean up my branch code"
+- "Refactor the changes in my branch"
+- "Review and improve my branch code"
+- `/cleanup`
+
+---
+
+## What This Skill Does
+
+### 1. Analyze Branch Changes
+
+The skill retrieves all uncommitted changes and outgoing commits to understand:
+
+- New files added
+- Modified files
+- Code additions and deletions
+- Overall scope and intent of changes
+
+---
+
+### 2. Code Refactoring
+
+#### Readability Improvements
+
+- Replace tuples with named classes or dataclasses
+- Improve variable, method, and class naming
+- Extract complex logic into well-named helper methods
+- Add missing type hints
+- Simplify nested or complex conditionals
+- Replace deprecated methods and features
+- Normalize formatting to match Pipecat style
+
+#### Performance Enhancements
+
+- Identify inefficient loops or repeated work
+- Suggest appropriate data structures
+- Optimize async workflows and I/O
+- Remove redundant operations
+
+> Performance changes are conservative and non-breaking.
+
+---
+
+### 3. Documentation
+
+Documentation follows **Google-style docstrings**, consistent with Pipecat conventions.
+
+#### Class Documentation
+
+```python
+class ExampleService:
+    """Brief one-line description.
+
+    Detailed explanation of the class purpose, responsibilities,
+    and important behaviors.
+
+    Supported features:
+
+    - Feature 1
+    - Feature 2
+    - Feature 3
+    """
+```
+
+#### Method Documentation
+
+```python
+def process_data(self, data: str, options: Optional[dict] = None) -> bool:
+    """Process incoming data with optional configuration.
+
+    Args:
+        data: The input data to process.
+        options: Optional configuration dictionary.
+
+    Returns:
+        True if processing succeeded, False otherwise.
+
+    Raises:
+        ValueError: If data is empty or invalid.
+    """
+```
+
+#### Pydantic Model Parameters
+
+```python
+class InputParams(BaseModel):
+    """Configuration parameters for the service.
+
+    Parameters:
+        timeout: Request timeout in seconds.
+        retry_count: Number of retry attempts.
+        enable_logging: Whether to enable debug logging.
+    """
+
+    timeout: Optional[float] = None
+    retry_count: int = 3
+    enable_logging: bool = False
+```
+
+---
+
+### 4. Pattern Consistency Checks
+
+#### Service Classes
+
+- Correct inheritance (`TTSService`, `STTService`, `LLMService`)
+- Consistent constructor signatures
+- Frame emission patterns
+- Metrics support:
+  - `can_generate_metrics()`
+  - TTFB metrics
+  - Usage metrics
+- Alignment with similar existing services
+
+#### Examples
+
+Validated against `examples/foundational/07-interruptible.py`:
+
+- Proper `create_transport()` usage
+- Correct pipeline structure
+- Task setup and observers
+- Event handler registration
+- Runner and bot entrypoint consistency
+
+---
+
+### 5. Specific Implementation Patterns
+
+#### Service Implementation
+
+```python
+class ExampleTTSService(TTSService):
+
+    def __init__(self, *, api_key: Optional[str] = None, **kwargs):
+        super().__init__(**kwargs)
+        self._api_key = api_key or os.getenv("SERVICE_API_KEY")
+
+    def can_generate_metrics(self) -> bool:
+        return True
+
+    async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
+        try:
+            await self.start_ttfb_metrics()
+            yield TTSStartedFrame()
+            # ... processing ...
+            yield TTSAudioRawFrame(...)
+        finally:
+            await self.stop_ttfb_metrics()
+```
+
+---
+
+#### Example Structure Pattern
+
+```python
+transport_params = {
+    "daily": lambda: DailyParams(...),
+    "twilio": lambda: FastAPIWebsocketParams(...),
+    "webrtc": lambda: TransportParams(...),
+}
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    stt = DeepgramSTTService(...)
+    tts = SomeTTSService(...)
+    llm = OpenAILLMService(...)
+
+    context = LLMContext(messages)
+    user_aggregator, assistant_aggregator = LLMContextAggregatorPair(...)
+
+    pipeline = Pipeline([...])
+    task = PipelineTask(pipeline, params=..., observers=[...])
+
+    @transport.event_handler("on_client_connected")
+    async def on_client_connected(transport, client):
+        await task.queue_frames([LLMRunFrame()])
+
+    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+    await runner.run(task)
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+```
+
+---
+
+## Execution Flow
+
+1. Fetch uncommitted and outgoing changes
+2. Categorize files (services, examples, tests, utilities)
+3. Analyze each file:
+   - Readability
+   - Performance
+   - Documentation
+   - Pattern consistency
+4. Generate actionable recommendations
+5. Apply Pipecat standards
+
+---
+
+## Examples
+
+### Before: Tuple Usage
+
+```python
+def get_audio_info(self) -> Tuple[int, int]:
+    return (48000, 1)
+```
+
+### After: Named Class
+
+```python
+class AudioInfo:
+    """Audio configuration information.
+
+    Parameters:
+        sample_rate: Sample rate in Hz.
+        num_channels: Number of audio channels.
+    """
+
+    sample_rate: int
+    num_channels: int
+
+def get_audio_info(self) -> AudioInfo:
+    return AudioInfo(sample_rate=48000, num_channels=1)
+```
+
+---
+
+### Before: Missing Documentation
+
+```python
+class NewTTSService(TTSService):
+    def __init__(self, api_key: str, voice: str):
+        self._api_key = api_key
+        self._voice = voice
+```
+
+### After: Fully Documented
+
+```python
+class NewTTSService(TTSService):
+    """Text-to-speech service using NewProvider API.
+
+    Streams PCM audio and emits TTSAudioRawFrame frames compatible
+    with Pipecat transports.
+
+    Supported features:
+    - Text-to-speech synthesis
+    - Streaming PCM audio
+    - Voice customization
+    - TTFB metrics
+    """
+
+    def __init__(self, *, api_key: str, voice: str, **kwargs):
+        """Initialize the NewTTSService.
+
+        Args:
+            api_key: API key for authentication.
+            voice: Voice identifier to use.
+            **kwargs: Additional arguments passed to the parent service.
+        """
+        super().__init__(**kwargs)
+        self._api_key = api_key
+        self.set_voice(voice)
+```
+
+---
+
+## Notes
+
+- Non-breaking improvements only
+- Backward compatibility preserved
+- Conservative performance changes
+- Google-style docstrings
+- Pattern checks follow recent Pipecat code

.claude/skills/code-review/SKILL.md

@@ -0,0 +1,107 @@
+---
+name: code-review
+description: Automated code review for pull requests using multiple specialized agents
+disable-model-invocation: true
+allowed-tools: Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr list:*)
+---
+
+Provide a code review for the given pull request.
+
+**Agent assumptions (applies to all agents and subagents):**
+
+- All tools are functional and will work without error. Do not test tools or make exploratory calls. Make sure this is clear to every subagent that is launched.
+- Only call a tool if it is required to complete the task. Every tool call should have a clear purpose.
+
+To do this, follow these steps precisely:
+
+1. Launch a haiku agent to check if any of the following are true:
+   - The pull request is closed
+   - The pull request is a draft
+   - The pull request does not need code review (e.g. automated PR, trivial change that is obviously correct)
+   - Claude has already commented on this PR (check `gh pr view <PR> --comments` for comments left by claude)
+
+   If any condition is true, stop and do not proceed.
+
+Note: Still review Claude generated PR's.
+
+2. Launch a haiku agent to return a list of file paths (not their contents) for all relevant CLAUDE.md files including:
+   - The root CLAUDE.md file, if it exists
+   - Any CLAUDE.md files in directories containing files modified by the pull request
+
+3. Launch a sonnet agent to view the pull request and return a summary of the changes
+
+4. Launch 4 agents in parallel to independently review the changes. Each agent should return the list of issues, where each issue includes a description and the reason it was flagged (e.g. "CLAUDE.md adherence", "bug"). The agents should do the following:
+
+   Agents 1 + 2: CLAUDE.md compliance sonnet agents
+   Audit changes for CLAUDE.md compliance in parallel. Note: When evaluating CLAUDE.md compliance for a file, you should only consider CLAUDE.md files that share a file path with the file or parents.
+
+   Agent 3: Opus bug agent (parallel subagent with agent 4)
+   Scan for obvious bugs. Focus only on the diff itself without reading extra context. Flag only significant bugs; ignore nitpicks and likely false positives. Do not flag issues that you cannot validate without looking at context outside of the git diff.
+
+   Agent 4: Opus bug agent (parallel subagent with agent 3)
+   Look for problems that exist in the introduced code. This could be security issues, incorrect logic, etc. Only look for issues that fall within the changed code.
+
+   **CRITICAL: We only want HIGH SIGNAL issues.** Flag issues where:
+   - The code will fail to compile or parse (syntax errors, type errors, missing imports, unresolved references)
+   - The code will definitely produce wrong results regardless of inputs (clear logic errors)
+   - Clear, unambiguous CLAUDE.md violations where you can quote the exact rule being broken
+
+   Do NOT flag:
+   - Code style or quality concerns
+   - Potential issues that depend on specific inputs or state
+   - Subjective suggestions or improvements
+
+   If you are not certain an issue is real, do not flag it. False positives erode trust and waste reviewer time.
+
+   In addition to the above, each subagent should be told the PR title and description. This will help provide context regarding the author's intent.
+
+5. For each issue found in the previous step by agents 3 and 4, launch parallel subagents to validate the issue. These subagents should get the PR title and description along with a description of the issue. The agent's job is to review the issue to validate that the stated issue is truly an issue with high confidence. For example, if an issue such as "variable is not defined" was flagged, the subagent's job would be to validate that is actually true in the code. Another example would be CLAUDE.md issues. The agent should validate that the CLAUDE.md rule that was violated is scoped for this file and is actually violated. Use Opus subagents for bugs and logic issues, and sonnet agents for CLAUDE.md violations.
+
+6. Filter out any issues that were not validated in step 5. This step will give us our list of high signal issues for our review.
+
+7. If issues were found, skip to step 8 to post comments.
+
+   If NO issues were found, post a summary comment using `gh pr comment` (if `--comment` argument is provided):
+   "No issues found. Checked for bugs and CLAUDE.md compliance."
+
+8. Create a list of all comments that you plan on leaving. This is only for you to make sure you are comfortable with the comments. Do not post this list anywhere.
+
+9. Post inline comments for each issue using `gh pr review` with inline comments. For each comment:
+   - Provide a brief description of the issue
+   - For small, self-contained fixes, include a committable suggestion block
+   - For larger fixes (6+ lines, structural changes, or changes spanning multiple locations), describe the issue and suggested fix without a suggestion block
+   - Never post a committable suggestion UNLESS committing the suggestion fixes the issue entirely. If follow up steps are required, do not leave a committable suggestion.
+
+   **IMPORTANT: Only post ONE comment per unique issue. Do not post duplicate comments.**
+
+Use this list when evaluating issues in Steps 4 and 5 (these are false positives, do NOT flag):
+
+- Pre-existing issues
+- Something that appears to be a bug but is actually correct
+- Pedantic nitpicks that a senior engineer would not flag
+- Issues that a linter will catch (do not run the linter to verify)
+- General code quality concerns (e.g., lack of test coverage, general security issues) unless explicitly required in CLAUDE.md
+- Issues mentioned in CLAUDE.md but explicitly silenced in the code (e.g., via a lint ignore comment)
+
+Notes:
+
+- Use gh CLI to interact with GitHub (e.g., fetch pull requests, create comments). Do not use web fetch.
+- Create a todo list before starting.
+- You must cite and link each issue in inline comments (e.g., if referring to a CLAUDE.md, include a link to it).
+- If no issues are found, post a comment with the following format:
+
+---
+
+## Code review
+
+No issues found. Checked for bugs and CLAUDE.md compliance.
+
+---
+
+- When linking to code in inline comments, follow the following format precisely, otherwise the Markdown preview won't render correctly: `https://github.com/OWNER/REPO/blob/FULL_SHA/path/to/file.py#L10-L15`
+  - Requires full git sha
+  - You must provide the full sha. Commands like `https://github.com/owner/repo/blob/$(git rev-parse HEAD)/foo/bar` will not work, since your comment will be directly rendered in Markdown.
+  - Repo name must match the repo you're code reviewing
+  - # sign after the file name
+  - Line range format is L[start]-L[end]
+  - Provide at least 1 line of context before and after, centered on the line you are commenting about (eg. if you are commenting about lines 5-6, you should link to `L4-7`)

.claude/skills/docstring/SKILL.md

@@ -3,21 +3,20 @@ name: docstring
 description: Document a Python module and its classes using Google style
 ---
 
-Document a Python module and its classes using Google-style docstrings following project conventions. The class name is provided as an argument.
+Document a Python module or class using Google-style docstrings following project conventions. The argument can be a class name or a module path.
 
 ## Instructions
 
-1. First, find the class in the codebase:
-   ```
-   Search for "class ClassName" in src/pipecat/
-   ```
+1. Determine what to document based on the argument:
 
-2. If multiple files contain that class name:
-   - List all matches with their file paths
-   - Ask the user which one they want to document
-   - Wait for confirmation before proceeding
+   **If a module path is provided** (e.g. `src/pipecat/audio/vad/vad_analyzer.py`):
+   - Use that file directly
 
-3. Once the file is identified, read the module to understand its structure:
+   **If a class name is provided** (e.g. `VADAnalyzer`):
+   - Search for `class ClassName` in `src/pipecat/`
+   - If multiple files contain that class name, list all matches with their file paths, ask the user which one they want to document, and wait for confirmation
+
+2. Once the file is identified, read the module to understand its structure:
    - Identify all classes, functions, and important type aliases
    - Understand the purpose of each component
 

.claude/skills/pr-submit/SKILL.md

@@ -0,0 +1,28 @@
+---
+name: pr-submit
+description: Create and submit a GitHub PR from the current branch
+---
+
+Submit the current changes as a GitHub pull request.
+
+## Instructions
+
+1. Check the current state of the repository:
+   - Run `git status` to see staged, unstaged, and untracked changes
+   - Run `git diff` to see current changes
+   - Run `git log --oneline -10` to see recent commits
+
+2. If there are uncommitted changes relevant to the PR:
+   - Ask the user if they want a specific prefix for the branch name (e.g., `alice/`, `fix/`, `feat/`)
+   - Create a new branch based on the current branch
+   - Commit the changes using multiple commits if the changes are unrelated
+
+3. Push the branch and create the PR:
+   - Push with `-u` flag to set upstream tracking
+   - Create the PR using `gh pr create`
+
+4. After the PR is created:
+   - Run `/changelog <pr_number>` to generate changelog files, then commit and push them
+   - Run `/pr-description <pr_number>` to update the PR description
+
+5. Return the PR URL to the user.

.claude/skills/update-docs/SKILL.md

@@ -0,0 +1,250 @@
+---
+name: update-docs
+description: Update documentation pages to match source code changes on the current branch
+---
+
+Update documentation pages to reflect source code changes on the current branch. Analyzes the diff against main, maps changed source files to their corresponding doc pages, and makes targeted edits.
+
+## Arguments
+
+```
+/update-docs [DOCS_PATH]
+```
+
+- `DOCS_PATH` (optional): Path to the docs repository root. If not provided, ask the user.
+
+Examples:
+- `/update-docs /Users/me/src/docs`
+- `/update-docs`
+
+## Instructions
+
+### Step 1: Resolve docs path
+
+If `DOCS_PATH` was provided as an argument, use it. Otherwise, ask the user for the path to their docs repository.
+
+Verify the path exists and contains `server/services/` subdirectory.
+
+### Step 2: Create docs branch
+
+Get the current pipecat branch name:
+```bash
+git rev-parse --abbrev-ref HEAD
+```
+
+In the docs repo, create a new branch off main with a matching name:
+```bash
+cd DOCS_PATH && git checkout main && git pull && git checkout -b {branch-name}-docs
+```
+
+For example, if the pipecat branch is `feat/new-service`, the docs branch becomes `feat/new-service-docs`.
+
+All doc edits in subsequent steps are made on this branch.
+
+### Step 3: Detect changed source files
+
+Run:
+```bash
+git diff main..HEAD --name-only
+```
+
+Filter to files that could affect documentation:
+- `src/pipecat/services/**/*.py` (service implementations)
+- `src/pipecat/transports/**/*.py` (transport implementations)
+- `src/pipecat/serializers/**/*.py` (serializer implementations)
+- `src/pipecat/processors/**/*.py` (processor implementations)
+- `src/pipecat/audio/**/*.py` (audio utilities)
+- `src/pipecat/turns/**/*.py` (turn management)
+- `src/pipecat/observers/**/*.py` (observers)
+- `src/pipecat/pipeline/**/*.py` (pipeline core)
+
+Ignore `__init__.py`, `__pycache__`, test files, and files that only contain type re-exports.
+
+### Step 4: Map source files to doc pages
+
+For each changed source file, find the corresponding doc page. Read the mapping file at `.claude/skills/update-docs/SOURCE_DOC_MAPPING.md` and apply its tiered lookup: tier 1 (known exceptions) → tier 2 (pattern matching) → tier 3 (search fallback). **First match wins.**
+
+### Step 5: Analyze each source-doc pair
+
+For each mapped pair:
+
+1. **Read the full source file** to understand current state
+2. **Read the diff** for that file: `git diff main..HEAD -- <source_file>`
+3. **Read the current doc page** in full
+
+Identify what changed by comparing source to docs:
+
+- **Constructor parameters**: Compare `__init__` signature to the Configuration section's `<ParamField>` entries
+- **InputParams fields**: Compare `InputParams(BaseModel)` class fields to the InputParams table
+- **Event handlers**: Compare `_register_event_handler` calls and event handler definitions to Event Handlers section
+- **Class names / imports**: Check if Usage examples reference correct names
+- **Behavioral changes**: Check if Notes section needs updating
+
+### Step 6: Make targeted edits
+
+For each doc page that needs updates, edit **only the sections that need changes**. Preserve all other content exactly as-is.
+
+#### Rules
+
+- **Never remove content** unless the corresponding source code was removed
+- **Never rewrite sections** that are already accurate
+- **Match existing formatting** — if the page uses `<ParamField>` tags, use them; if it uses tables, use tables
+- **Keep descriptions concise** — match the tone and length of surrounding content
+- **Preserve CardGroup, links, and examples** unless they reference removed functionality
+- **Don't touch frontmatter** unless the class was renamed
+
+#### Section-specific guidance
+
+**Configuration** (constructor params):
+- Use `<ParamField path="name" type="type" default="value">` format if the page already uses it
+- Add new params in logical order (required first, then optional)
+- Remove params that no longer exist in source
+- Update types/defaults that changed
+
+**InputParams** (runtime settings):
+- Use markdown table format: `| Parameter | Type | Default | Description |`
+- Match the field names and types from the `InputParams(BaseModel)` class
+- Include the default values from the source
+
+**Usage** (code examples):
+- Update import paths, class names, and parameter names
+- Only modify examples if they would break or be misleading with the new API
+- Don't rewrite working examples just to add new optional params
+
+**Notes**:
+- Add notes for new behavioral gotchas or breaking changes
+- Remove notes about limitations that were fixed
+- Keep existing notes that are still accurate
+
+**Event Handlers**:
+- Update the event table and example code
+- Add new events, remove deleted ones
+- Update handler signatures if they changed
+
+**Overview / Key Features / Prerequisites**:
+- Only update if the PR fundamentally changes what the service does (new capability, removed capability, renamed class)
+- Most PRs will NOT need changes to these sections
+
+### Step 7: Update guides
+
+Guides at `DOCS_PATH/guides/` reference specific class names, parameters, imports, and code patterns. After completing reference doc edits, check if any guides need updates too.
+
+For each changed source file, collect the class names, renamed parameters, and changed imports from the diff. Search the guides directory:
+```bash
+grep -rl "ClassName\|old_param_name" DOCS_PATH/guides/
+```
+
+For each guide that references changed code:
+1. Read the full guide
+2. Update class names, parameter names, import paths, and code examples that are now incorrect
+3. **Don't rewrite prose** — only fix the specific references that changed
+4. Leave guides alone if they reference the service generally but don't use any changed APIs
+
+Guide directories:
+- `guides/learn/` — conceptual tutorials (pipeline, LLM, STT, TTS, etc.)
+- `guides/fundamentals/` — practical how-tos (metrics, recording, transcripts, etc.)
+- `guides/features/` — feature-specific guides (Gemini Live, OpenAI audio, WhatsApp, etc.)
+- `guides/telephony/` — telephony integration guides (Twilio, Plivo, Telnyx, etc.)
+
+### Step 8: Identify doc gaps
+
+After processing all mapped pairs, check for two kinds of gaps:
+
+**Missing pages**: Source files that had no doc page mapping (neither tier 1, 2, nor 3) and are not marked as "(skip)". For each, tell the user:
+- The source file path
+- The main class(es) it defines
+- Whether a new doc page should be created
+
+**Missing sections**: Mapped doc pages that are missing standard sections compared to the source. For example, a transport page with no Configuration section, or a service page with no InputParams table when the source defines `InputParams(BaseModel)`. Flag these and offer to add the missing sections.
+
+If the user wants a new page, create it using this template structure:
+```
+---
+title: "Service Name"
+description: "Brief description"
+---
+
+## Overview
+
+[Description from class docstring or source analysis]
+
+<CardGroup cols={2}>
+  [Cards for API reference and examples if available]
+</CardGroup>
+
+## Installation
+
+```bash
+pip install "pipecat-ai[package-name]"
+```
+
+## Prerequisites
+
+[Environment variables and account setup]
+
+## Configuration
+
+[ParamField entries for constructor params]
+
+## InputParams
+
+[Table of InputParams fields, if the service has them]
+
+## Usage
+
+### Basic Setup
+
+```python
+[Minimal working example]
+```
+
+## Notes
+
+[Important caveats]
+
+## Event Handlers
+
+[Event table and example code]
+```
+
+### Step 9: Output summary
+
+After all edits are complete, print a summary:
+
+```
+## Documentation Updates
+
+### Updated reference pages
+- `server/services/stt/deepgram.mdx` — Updated Configuration (added `new_param`), InputParams (updated `language` default)
+- `server/services/tts/elevenlabs.mdx` — Updated Event Handlers (added `on_connected`)
+
+### Updated guides
+- `guides/learn/speech-to-text.mdx` — Updated code example (renamed `old_param` → `new_param`)
+
+### Unmapped source files
+- `src/pipecat/services/newprovider/tts.py` — NewProviderTTSService (no doc page exists)
+
+### Skipped files
+- `src/pipecat/services/ai_service.py` — internal base class
+```
+
+## Guidelines
+
+- **Be conservative** — only change what the diff warrants. Don't "improve" docs beyond what changed in source.
+- **Read before editing** — always read the full doc page before making changes so you understand the existing structure.
+- **Preserve voice** — match the writing style of the existing doc page, don't impose a different tone.
+- **One PR at a time** — this skill operates on the current branch's diff against main. Don't look at other branches.
+- **Parallel analysis** — when multiple source files map to different doc pages, analyze and edit them in parallel for efficiency.
+- **Shared source files** — files like `services/google/google.py` are shared bases. Check which services import from them and update all affected doc pages.
+
+## Checklist
+
+Before finishing, verify:
+
+- [ ] All changed source files were checked against the mapping table
+- [ ] Each doc page edit matches the actual source code change (not guessed)
+- [ ] No content was removed unless the corresponding source was removed
+- [ ] New parameters have accurate types and defaults from source
+- [ ] Formatting matches the existing page style
+- [ ] Guides referencing changed APIs were checked and updated
+- [ ] Unmapped files were reported to the user

.claude/skills/update-docs/SOURCE_DOC_MAPPING.md

@@ -0,0 +1,79 @@
+# Source-to-Doc Mapping
+
+Maps pipecat source files to their documentation pages. Source paths are relative to `src/pipecat/`. Doc paths are relative to `DOCS_PATH`.
+
+## Name mismatches
+
+These source paths don't follow the standard `services/{provider}/{type}.py` → `server/services/{type}/{provider}.mdx` pattern.
+
+| Source path | Doc page |
+|---|---|
+| `services/google/llm.py` | `server/services/llm/gemini.mdx` |
+| `services/google/llm_vertex.py` | `server/services/llm/google-vertex.mdx` |
+| `services/google/google.py` | (shared base — check which services use it) |
+| `services/google/gemini_live/**` | `server/services/s2s/gemini-live.mdx` |
+| `services/google/gemini_live/llm_vertex.py` | `server/services/s2s/gemini-live-vertex.mdx` |
+| `services/aws_nova_sonic/**` | `server/services/s2s/aws.mdx` |
+| `services/ultravox/**` | `server/services/s2s/ultravox.mdx` |
+| `services/grok/realtime/**` | `server/services/s2s/grok.mdx` |
+| `services/openai/realtime/**` | `server/services/s2s/openai.mdx` |
+| `processors/frameworks/rtvi.py` | `server/frameworks/rtvi/rtvi-processor.mdx` and `server/frameworks/rtvi/rtvi-observer.mdx` |
+| `processors/transcript_processor.py` | `server/utilities/transcript-processor.mdx` |
+| `processors/user_idle_processor.py` | `server/utilities/user-idle-processor.mdx` |
+| `processors/idle_frame_processor.py` | `server/pipeline/pipeline-idle-detection.mdx` |
+| `pipeline/task.py` | `server/pipeline/pipeline-task.mdx` |
+| `pipeline/runner.py` | `server/utilities/runner/guide.mdx` |
+| `transports/base_transport.py` | `server/services/transport/transport-params.mdx` |
+
+## Skip list
+
+These files should never trigger doc updates.
+
+| Pattern | Reason |
+|---|---|
+| `services/ai_service.py` | Internal base class |
+| `services/stt_service.py` | Internal base class |
+| `services/tts_service.py` | Internal base class |
+| `services/llm_service.py` | Internal base class |
+| `services/websocket_service.py` | Internal base class |
+| `services/openai_realtime_beta/**` | Deprecated |
+| `services/openai_realtime/**` | Deprecated |
+| `services/gemini_multimodal_live/**` | Deprecated |
+| `services/aws/agent_core.py` | Internal |
+| `services/aws/sagemaker/**` | No doc page |
+| `transports/base_input.py` | Internal base class |
+| `transports/base_output.py` | Internal base class |
+| `transports/websocket/client.py` | No doc page |
+| `serializers/base_serializer.py` | Internal base class |
+| `serializers/protobuf.py` | Internal |
+| `processors/audio/**` | Internal |
+| `pipeline/pipeline.py` | Core architecture, not a service doc |
+
+## Pattern matching
+
+For files not in the tables above, apply these patterns. Convert underscores to hyphens in provider names for doc filenames.
+
+| Source pattern | Doc pattern |
+|---|---|
+| `services/{provider}/stt*.py` | `server/services/stt/{provider}.mdx` |
+| `services/{provider}/tts*.py` | `server/services/tts/{provider}.mdx` |
+| `services/{provider}/llm*.py` | `server/services/llm/{provider}.mdx` |
+| `services/{provider}/image*.py` | `server/services/image-generation/{provider}.mdx` |
+| `services/{provider}/video*.py` | `server/services/video/{provider}.mdx` |
+| `services/{provider}/realtime/**` | `server/services/s2s/{provider}.mdx` |
+| `transports/{name}/**` | `server/services/transport/{name}.mdx` |
+| `serializers/{name}.py` | `server/services/serializers/{name}.mdx` |
+| `observers/**` | `server/utilities/observers/` (match by class name) |
+| `audio/vad/**` | `server/utilities/audio/` (match by class name) |
+| `audio/filters/**` | `server/utilities/audio/` (match by class name) |
+| `audio/mixers/**` | `server/utilities/audio/` (match by class name) |
+| `processors/filters/**` | `server/utilities/filters/` (match by class name) |
+
+If the doc file doesn't exist at the resolved path, the file is **unmapped**.
+
+## Search fallback
+
+For files that don't match any table or pattern above:
+1. Extract the main class name(s) from the source file
+2. Search the docs directory for that class name: `grep -r "ClassName" DOCS_PATH/server/`
+3. If found in a doc page, use that as the mapping

.github/workflows/coverage.yaml

@@ -29,6 +29,7 @@ jobs:
 
       - name: Install system packages
         run: |
+          sudo apt-get update
           sudo apt-get install -y portaudio19-dev
 
       - name: Install dependencies
@@ -36,10 +37,13 @@ jobs:
           uv sync --group dev \
             --extra anthropic \
             --extra aws \
+            --extra deepgram \
             --extra google \
             --extra langchain \
             --extra livekit \
             --extra piper \
+            --extra sagemaker \
+            --extra tracing \
             --extra websocket
 
       - name: Run tests with coverage

.github/workflows/generate-changelog.yml

@@ -86,7 +86,7 @@ jobs:
           fi
 
           # Validate fragment types
-          VALID_TYPES="added changed deprecated removed fixed security other"
+          VALID_TYPES="added changed deprecated removed fixed performance security other"
           INVALID_FRAGMENTS=""
 
           for file in changelog/*.md; do

.github/workflows/python-compatibility.yaml

@@ -14,7 +14,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ['3.10.18', '3.11.13', '3.12.11', '3.13.5']
+        python-version: ['3.10.19', '3.11.14', '3.12.12', '3.13.12']
 
     name: Python ${{ matrix.python-version }}
     steps:
@@ -40,20 +40,10 @@ jobs:
           uv python install ${{ matrix.python-version }}
           uv python pin ${{ matrix.python-version }}
 
-      - name: Test uv sync with all extras (Python < 3.13)
-        if: "!startsWith(matrix.python-version, '3.13.')"
+      - name: Test uv sync with all extras
         run: |
           uv sync --group dev --all-extras --no-extra krisp
 
-      - name: Test uv sync without PyTorch extras (Python 3.13+)
-        if: startsWith(matrix.python-version, '3.13.')
-        run: |
-          uv sync --group dev --all-extras \
-            --no-extra krisp \
-            --no-extra local-smart-turn \
-            --no-extra moondream \
-            --no-extra mlx-whisper
-
       - name: Verify installation
         run: |
           uv run python --version

.github/workflows/tests.yaml

@@ -33,6 +33,7 @@ jobs:
 
       - name: Install system packages
         run: |
+          sudo apt-get update
           sudo apt-get install -y portaudio19-dev
 
       - name: Install dependencies
@@ -40,10 +41,13 @@ jobs:
           uv sync --group dev \
             --extra anthropic \
             --extra aws \
+            --extra deepgram \
             --extra google \
             --extra langchain \
             --extra livekit \
             --extra piper \
+            --extra sagemaker \
+            --extra tracing \
             --extra websocket
 
       - name: Test with pytest

.github/workflows/update-docs.yml

@@ -0,0 +1,147 @@
+name: Update Documentation on PR Merge
+
+on:
+  pull_request_target:
+    types: [closed]
+    branches: [main]
+    paths:
+      - "src/pipecat/services/**"
+      - "src/pipecat/transports/**"
+      - "src/pipecat/serializers/**"
+      - "src/pipecat/processors/**"
+      - "src/pipecat/audio/**"
+      - "src/pipecat/turns/**"
+      - "src/pipecat/observers/**"
+      - "src/pipecat/pipeline/**"
+  workflow_dispatch:
+    inputs:
+      pr_number:
+        description: "PR number to generate docs for"
+        required: true
+        type: string
+
+jobs:
+  update-docs:
+    if: >-
+      github.event_name == 'workflow_dispatch' ||
+      github.event.pull_request.merged == true
+    runs-on: ubuntu-latest
+    timeout-minutes: 15
+    permissions:
+      contents: read
+      pull-requests: read
+      id-token: write
+    steps:
+      - name: Checkout pipecat
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Checkout docs
+        uses: actions/checkout@v4
+        with:
+          repository: pipecat-ai/docs
+          token: ${{ secrets.DOCS_SYNC_TOKEN }}
+          path: _docs
+
+      - name: Resolve PR number
+        id: pr
+        run: |
+          if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
+            echo "number=${{ inputs.pr_number }}" >> "$GITHUB_OUTPUT"
+          else
+            echo "number=${{ github.event.pull_request.number }}" >> "$GITHUB_OUTPUT"
+          fi
+
+      - name: Update documentation
+        uses: anthropics/claude-code-action@v1
+        env:
+          DOCS_SYNC_TOKEN: ${{ secrets.DOCS_SYNC_TOKEN }}
+        with:
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          prompt: |
+            You are updating documentation for the pipecat-ai/docs repository based on
+            changes merged in PR #${{ steps.pr.outputs.number }} of pipecat-ai/pipecat.
+
+            ## Setup
+
+            1. Read the skill instructions at `.claude/skills/update-docs/SKILL.md`
+            2. Read the source-to-doc mapping at `.claude/skills/update-docs/SOURCE_DOC_MAPPING.md`
+            3. The docs repository is checked out at `./_docs/`
+
+            ## Get the diff
+
+            Run `gh pr diff ${{ steps.pr.outputs.number }}` to see what changed in the PR.
+            Also run `gh pr diff ${{ steps.pr.outputs.number }} --name-only` to get the list of changed files.
+            Filter to source files matching the directories listed in SKILL.md Step 3.
+
+            If no relevant source files were changed, exit with "No documentation changes needed."
+
+            ## Follow the skill instructions
+
+            Apply the SKILL.md workflow (Steps 3-9) with these adaptations for automation:
+
+            ### Docs path
+            Use `./_docs/` — it's already checked out. Do not ask for a path.
+
+            ### Branch management
+            - Branch name: `docs/pr-${{ steps.pr.outputs.number }}`
+            - Work inside `./_docs/` for all doc edits and git operations
+            - Check if the branch already exists on the remote:
+              ```bash
+              cd _docs && git fetch origin docs/pr-${{ steps.pr.outputs.number }} 2>/dev/null
+              ```
+              - If it exists: check it out (supports workflow re-runs)
+              - If not: create it from main
+
+            ### Git config
+            Before committing in `_docs`, set:
+            ```bash
+            git config user.name "github-actions[bot]"
+            git config user.email "github-actions[bot]@users.noreply.github.com"
+            ```
+
+            ### No interactive questions
+            Do not ask questions. If you encounter gaps (unmapped files, missing sections,
+            ambiguous changes), note them in the PR body under "## Gaps identified".
+
+            ### Creating the docs PR
+            After committing all changes in `_docs`, push and create a PR:
+            ```bash
+            cd _docs
+            git push -u origin docs/pr-${{ steps.pr.outputs.number }}
+            GH_TOKEN=$DOCS_SYNC_TOKEN gh pr create \
+              --repo pipecat-ai/docs \
+              --label auto-docs \
+              --title "docs: update for pipecat PR #${{ steps.pr.outputs.number }}" \
+              --body "$(cat <<'BODY'
+            Automated documentation update for [pipecat PR #${{ steps.pr.outputs.number }}](https://github.com/pipecat-ai/pipecat/pull/${{ steps.pr.outputs.number }}).
+
+            ## Changes
+            <summarize each doc page updated and what changed>
+
+            ## Gaps identified
+            <any unmapped files, missing doc pages, or missing sections — or "None">
+            BODY
+            )"
+            ```
+
+            ### Re-run handling
+            If `gh pr create` fails because a PR from that branch already exists,
+            push the updated commits and use `gh pr edit` to update the body instead.
+
+            ### No-op
+            If after analyzing the diff you determine no documentation changes are needed
+            (e.g., only skip-listed files changed, or changes don't affect public API docs),
+            exit cleanly without creating a branch or PR. Output "No documentation changes needed."
+
+            ## Important rules
+            - Only modify files inside `./_docs/` — never modify pipecat source code
+            - Follow the conservative editing rules from SKILL.md Step 6
+            - Read each doc page fully before editing (SKILL.md Guidelines)
+            - Use `GH_TOKEN=$DOCS_SYNC_TOKEN` for all `gh` commands targeting pipecat-ai/docs
+          claude_args: |
+            --model claude-sonnet-4-5-20250929
+            --max-turns 30
+            --allowedTools "Read,Write,Edit,Glob,Grep,Bash"

CHANGELOG.md

@@ -7,6 +7,945 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 <!-- towncrier release notes start -->
 
+## [0.0.104] - 2026-03-02
+
+### Added
+
+- Added `TextAggregationMetricsData` metric measuring the time from the first
+  LLM token to the first complete sentence, representing the latency cost of
+  sentence aggregation in the TTS pipeline.
+  (PR [#3696](https://github.com/pipecat-ai/pipecat/pull/3696))
+
+- Added support for using strongly-typed objects instead of dicts for updating
+  service settings at runtime.
+
+    Instead of, say:
+
+    ```python
+    await task.queue_frame(
+        STTUpdateSettingsFrame(settings={"language": Language.ES})
+    )
+    ```
+
+    you'd do:
+
+    ```python
+    await task.queue_frame(
+        STTUpdateSettingsFrame(delta=DeepgramSTTSettings(language=Language.ES))
+    )
+    ```
+
+  Each service now vends strongly-typed classes like `DeepgramSTTSettings`
+  representing the service's runtime-updatable settings.
+  (PR [#3714](https://github.com/pipecat-ai/pipecat/pull/3714))
+
+- Added support for specifying private endpoints for Azure Speech-to-Text,
+  enabling use in private networks behind firewalls.
+  (PR [#3764](https://github.com/pipecat-ai/pipecat/pull/3764))
+
+- Added `LemonSliceTransport` and `LemonSliceApi` to support adding real-time
+  LemonSlice Avatars to any Daily room.
+  (PR [#3791](https://github.com/pipecat-ai/pipecat/pull/3791))
+
+- Added `output_medium` parameter to `AgentInputParams` and
+  `OneShotInputParams` in Ultravox service to control initial output medium
+  (text or voice) at call creation time.
+  (PR [#3806](https://github.com/pipecat-ai/pipecat/pull/3806))
+
+- Added `TurnMetricsData` as a generic metrics class for turn detection, with
+  e2e processing time measurement. `KrispVivaTurn` now emits `TurnMetricsData`
+  with `e2e_processing_time_ms` tracking the interval from VAD
+  speech-to-silence transition to turn completion.
+  (PR [#3809](https://github.com/pipecat-ai/pipecat/pull/3809))
+
+- Added `on_audio_context_interrupted()` and `on_audio_context_completed()`
+  callbacks to `AudioContextTTSService`. Subclasses can override these to
+  perform provider-specific cleanup instead of overriding
+  `_handle_interruption()`.
+  (PR [#3814](https://github.com/pipecat-ai/pipecat/pull/3814))
+
+- Added `on_summary_applied` event to `LLMContextSummarizer` for observability,
+  providing message counts before and after context summarization.
+  (PR [#3855](https://github.com/pipecat-ai/pipecat/pull/3855))
+
+- Added `summary_message_template` to `LLMContextSummarizationConfig` for
+  customizing how summaries are formatted when injected into context (e.g.,
+  wrapping in XML tags).
+  (PR [#3855](https://github.com/pipecat-ai/pipecat/pull/3855))
+
+- Added `summarization_timeout` to `LLMContextSummarizationConfig` (default
+  120s) to prevent hung LLM calls from permanently blocking future
+  summarizations.
+  (PR [#3855](https://github.com/pipecat-ai/pipecat/pull/3855))
+
+- Added optional `llm` field to `LLMContextSummarizationConfig` for routing
+  summarization to a dedicated LLM service (e.g., a cheaper/faster model)
+  instead of the pipeline's primary model.
+  (PR [#3855](https://github.com/pipecat-ai/pipecat/pull/3855))
+
+- Add AssemblyAI u3-rt-pro model support with built-in turn detection mode
+  (PR [#3856](https://github.com/pipecat-ai/pipecat/pull/3856))
+
+- Added `LLMSummarizeContextFrame` to trigger on-demand context summarization
+  from anywhere in the pipeline (e.g. a function call tool). Accepts an
+  optional `config: LLMContextSummaryConfig` to override summary generation
+  settings per request.
+  (PR [#3863](https://github.com/pipecat-ai/pipecat/pull/3863))
+
+- Added `LLMContextSummaryConfig` (summary generation params:
+  `target_context_tokens`, `min_messages_after_summary`,
+  `summarization_prompt`) and `LLMAutoContextSummarizationConfig` (auto-trigger
+  thresholds: `max_context_tokens`, `max_unsummarized_messages`, plus a nested
+  `summary_config`). These replace the monolithic
+  `LLMContextSummarizationConfig`.
+  (PR [#3863](https://github.com/pipecat-ai/pipecat/pull/3863))
+
+- Added support for the `speed_alpha` parameter to the `arcana` model in
+  `RimeTTSService`.
+  (PR [#3873](https://github.com/pipecat-ai/pipecat/pull/3873))
+
+- Added `ClientConnectedFrame`, a new `SystemFrame` pushed by all transports
+  (Daily, LiveKit, FastAPI WebSocket, WebSocket Server, SmallWebRTC, HeyGen,
+  Tavus) when a client connects. Enables observers to track transport readiness
+  timing.
+  (PR [#3881](https://github.com/pipecat-ai/pipecat/pull/3881))
+
+- Added `StartupTimingObserver` for measuring how long each processor's
+  `start()` method takes during pipeline startup. Also measures transport
+  readiness — the time from `StartFrame` to first client connection — via the
+  `on_transport_timing_report` event.
+  (PR [#3881](https://github.com/pipecat-ai/pipecat/pull/3881))
+
+- Added `BotConnectedFrame` for SFU transports and `on_transport_timing_report`
+  event to `StartupTimingObserver` with bot and client connection timing.
+  (PR [#3881](https://github.com/pipecat-ai/pipecat/pull/3881))
+
+- Added optional `direction` parameter to `PipelineTask.queue_frame()` and
+  `PipelineTask.queue_frames()`, allowing frames to be pushed upstream from the
+  end of the pipeline.
+  (PR [#3883](https://github.com/pipecat-ai/pipecat/pull/3883))
+
+- Added `on_latency_breakdown` event to `UserBotLatencyObserver` providing
+  per-service TTFB, text aggregation, user turn duration, and function call
+  latency metrics for each user-to-bot response cycle.
+  (PR [#3885](https://github.com/pipecat-ai/pipecat/pull/3885))
+
+- Added `on_first_bot_speech_latency` event to `UserBotLatencyObserver`
+  measuring the time from client connection to first bot speech. An
+  `on_latency_breakdown` is also emitted for this first speech event.
+  (PR [#3885](https://github.com/pipecat-ai/pipecat/pull/3885))
+
+- Added `broadcast_interruption()` to `FrameProcessor`. This method pushes an
+  `InterruptionFrame` both upstream and downstream directly from the calling
+  processor, avoiding the round-trip through the pipeline task that
+  `push_interruption_task_frame_and_wait()` required.
+  (PR [#3896](https://github.com/pipecat-ai/pipecat/pull/3896))
+
+### Changed
+
+- Added `text_aggregation_mode` parameter to `TTSService` and all TTS
+  subclasses with a new `TextAggregationMode` enum (`SENTENCE`, `TOKEN`). All
+  text now flows through text aggregators regardless of mode, enabling pattern
+  detection and tag handling in TOKEN mode.
+  (PR [#3696](https://github.com/pipecat-ai/pipecat/pull/3696))
+
+- ⚠️ Refactored runtime-updatable service settings to use strongly-typed
+  classes (`TTSSettings`, `STTSettings`, `LLMSettings`, and service-specific
+  subclasses) instead of plain dicts. Each service's `_settings` now holds
+  these strongly-typed objects. For service maintainers, see changes in
+  COMMUNITY_INTEGRATIONS.md.
+  (PR [#3714](https://github.com/pipecat-ai/pipecat/pull/3714))
+
+- Word timestamp support has been moved from `WordTTSService` into `TTSService`
+  via a new `supports_word_timestamps` parameter. Services that previously
+  extended `WordTTSService`, `AudioContextWordTTSService`, or
+  `WebsocketWordTTSService` now pass `supports_word_timestamps=True` to their
+  parent `__init__` instead.
+  (PR [#3786](https://github.com/pipecat-ai/pipecat/pull/3786))
+
+- Improved Ultravox TTFB measurement accuracy by using VAD speech end time
+  instead of `UserStoppedSpeakingFrame` timing.
+  (PR [#3806](https://github.com/pipecat-ai/pipecat/pull/3806))
+
+- Aligned `UltravoxRealtimeLLMService` frame handling with OpenAI/Gemini
+  realtime services: added `InterruptionFrame` handling with metrics cleanup,
+  processing metrics at response boundaries, and improved agent transcript
+  handling for both voice and text output modalities.
+  (PR [#3806](https://github.com/pipecat-ai/pipecat/pull/3806))
+
+- Updated `OpenAIRealtimeLLMService` default model to `gpt-realtime-1.5`.
+  (PR [#3807](https://github.com/pipecat-ai/pipecat/pull/3807))
+
+- Added `api_key` parameter to `KrispVivaSDKManager`, `KrispVivaTurn`, and
+  `KrispVivaFilter` for Krisp SDK v1.6.1+ licensing. Falls back to
+  `KRISP_VIVA_API_KEY` environment variable.
+  (PR [#3809](https://github.com/pipecat-ai/pipecat/pull/3809))
+
+- Bumped `nltk` minimum version from 3.9.1 to 3.9.3 to resolve a security
+  vulnerability.
+  (PR [#3811](https://github.com/pipecat-ai/pipecat/pull/3811))
+
+- `ServiceSettingsUpdateFrame`s are now `UninterruptibleFrame`s. Generally
+  speaking, you don't want a user interruption to prevent a service setting
+  change from going into effect. Note that you usually don't use
+  `ServiceSettingsUpdateFrame` directly, you use one of its subclasses:
+    - `LLMUpdateSettingsFrame`
+    - `TTSUpdateSettingsFrame`
+    - `STTUpdateSettingsFrame`
+  (PR [#3819](https://github.com/pipecat-ai/pipecat/pull/3819))
+
+- Updated context summarization to use `user` role instead of `assistant` for
+  summary messages.
+  (PR [#3855](https://github.com/pipecat-ai/pipecat/pull/3855))
+
+- Rename `AssemblyAISTTService` parameter
+  `min_end_of_turn_silence_when_confident` parameter to `min_turn_silence` (old
+  name still supported with deprecation warning)
+  (PR [#3856](https://github.com/pipecat-ai/pipecat/pull/3856))
+
+- ⚠️ Renamed `LLMAssistantAggregatorParams` fields:
+  `enable_context_summarization` → `enable_auto_context_summarization` and
+  `context_summarization_config` → `auto_context_summarization_config` (now
+  accepts `LLMAutoContextSummarizationConfig`). The old names still work with a
+  `DeprecationWarning` for one release cycle.
+  (PR [#3863](https://github.com/pipecat-ai/pipecat/pull/3863))
+
+- `ElevenLabsRealtimeSTTService` now sets `TranscriptionFrame.finalized` to
+  `True` when using `CommitStrategy.MANUAL`.
+  (PR [#3865](https://github.com/pipecat-ai/pipecat/pull/3865))
+
+- Updated numba version pin from == to >=0.61.2
+  (PR [#3868](https://github.com/pipecat-ai/pipecat/pull/3868))
+
+- Updated tracing code to use `ServiceSettings` dataclass API
+  (`given_fields()`, attribute access) instead of dict-style access
+  (`.items()`, `in`, subscript).
+  (PR [#3879](https://github.com/pipecat-ai/pipecat/pull/3879))
+
+- ⚠️ Removed `event` field and `complete()` method from `InterruptionFrame`.
+  Removed `event` field from `InterruptionTaskFrame`. These are no longer
+  needed since `broadcast_interruption()` does not require a round-trip
+  completion signal.
+  (PR [#3896](https://github.com/pipecat-ai/pipecat/pull/3896))
+
+- Moved `pipecat.services.deepgram.stt_sagemaker` and
+  `pipecat.services.deepgram.tts_sagemaker` to
+  `pipecat.services.deepgram.sagemaker.stt` and
+  `pipecat.services.deepgram.sagemaker.tts`. The old import paths still work
+  but emit a `DeprecationWarning`.
+  (PR [#3902](https://github.com/pipecat-ai/pipecat/pull/3902))
+
+### Deprecated
+
+- ⚠️ Deprecated `aggregate_sentences` parameter on `TTSService` and all TTS
+  subclasses. Use `text_aggregation_mode=TextAggregationMode.SENTENCE` or
+  `text_aggregation_mode=TextAggregationMode.TOKEN` instead.
+  (PR [#3696](https://github.com/pipecat-ai/pipecat/pull/3696))
+
+- Deprecated `set_model()`, `set_voice()`, and `set_language()` on AI services
+  in favor of runtime updates via `TTSUpdateSettingsFrame`,
+  `STTUpdateSettingsFrame`, and `LLMUpdateSettingsFrame`.
+
+  ⚠️ Note, too, a subtle behavior change in these deprecated methods. Whereas
+  previously only `set_language()` caused the service to actually react to the
+  update (e.g. by reconnecting to a remote service so it an pick up the
+  change), now all these methods do. This change was made as part of a refactor
+  making them all work the same way under the hood.
+  (PR [#3714](https://github.com/pipecat-ai/pipecat/pull/3714))
+
+- Dict-based `*UpdateSettingsFrame(settings={...})` is deprecated in favor of
+  passing typed settings delta objects with
+  `*UpdateSettingsFrame(delta={...})`.
+  (PR [#3714](https://github.com/pipecat-ai/pipecat/pull/3714))
+
+- Deprecated `WordTTSService`, `WebsocketWordTTSService`,
+  `AudioContextWordTTSService`, and `InterruptibleWordTTSService`. Use their
+  non-word counterparts with `supports_word_timestamps=True` instead:
+    - `WordTTSService` → `TTSService(supports_word_timestamps=True)`
+    - `WebsocketWordTTSService` →
+  `WebsocketTTSService(supports_word_timestamps=True)`
+    - `AudioContextWordTTSService` →
+  `AudioContextTTSService(supports_word_timestamps=True)`
+    - `InterruptibleWordTTSService` →
+  `InterruptibleTTSService(supports_word_timestamps=True)`
+  (PR [#3786](https://github.com/pipecat-ai/pipecat/pull/3786))
+
+- Deprecated `SmartTurnMetricsData` in favor of `TurnMetricsData`.
+  `BaseSmartTurn` now emits `TurnMetricsData` directly.
+  (PR [#3809](https://github.com/pipecat-ai/pipecat/pull/3809))
+
+- Deprecated `LLMContextSummarizationConfig`. Use
+  `LLMAutoContextSummarizationConfig` with a nested `LLMContextSummaryConfig`
+  instead. The old class emits a `DeprecationWarning`.
+  (PR [#3863](https://github.com/pipecat-ai/pipecat/pull/3863))
+
+- Deprecated `push_interruption_task_frame_and_wait()` in `FrameProcessor`. Use
+  `broadcast_interruption()` instead. The old method now delegates to
+  `broadcast_interruption()` and logs a deprecation warning.
+  (PR [#3896](https://github.com/pipecat-ai/pipecat/pull/3896))
+
+### Removed
+
+- Removed `local-smart-turn-v3` optional extra from `pyproject.toml`. The
+  `transformers` and `onnxruntime` packages are now always installed as core
+  dependencies since they are required by the default turn stop strategy,
+  `TurnAnalyzerUserTurnStopStrategy` which uses `LocalSmartTurnAnalyzerV3`.
+  (PR [#3803](https://github.com/pipecat-ai/pipecat/pull/3803))
+
+- ⚠️ Removed `PlayHTTTSService` and `PlayHTHttpTTSService`. PlayHT has been
+  shut down and is no longer available.
+  (PR [#3838](https://github.com/pipecat-ai/pipecat/pull/3838))
+
+### Fixed
+
+- Added `LLMSpecificMessage` handling in `LLMContextSummarizationUtil` to skip
+  provider-specific messages during context summarization.
+  (PR [#3794](https://github.com/pipecat-ai/pipecat/pull/3794))
+
+- Treated `response_cancel_not_active` as a non-fatal error in realtime
+  services (`OpenAIRealtimeLLMService`, `GrokRealtimeLLMService`,
+  `OpenAIRealtimeBetaLLMService`) to prevent WebSocket disconnection when
+  cancelling an inactive response.
+  (PR [#3795](https://github.com/pipecat-ai/pipecat/pull/3795))
+
+- Fixed Poetry compatibility by inlining `local-smart-turn-v3` dependencies
+  (`transformers`, `onnxruntime`) into core dependencies instead of using a
+  self-referential extra.
+  (PR [#3803](https://github.com/pipecat-ai/pipecat/pull/3803))
+
+- Fixed `SentryMetrics` method signatures to match updated
+  `FrameProcessorMetrics` base class, resolving `TypeError` when using
+  `start_time`/`end_time` keyword arguments.
+  (PR [#3808](https://github.com/pipecat-ai/pipecat/pull/3808))
+
+- Fixed STT TTFB metrics not being reported for `SonioxSTTService` and
+  `AWSTranscribeSTTService` due to missing `can_generate_metrics()` override.
+  (PR [#3813](https://github.com/pipecat-ai/pipecat/pull/3813))
+
+- Fixed an issue where `AudioContextTTSService`-based providers (AsyncAI,
+  ElevenLabs, Inworld, Rime) did not close or clean up their server-side audio
+  contexts after normal speech completion, only on interruption.
+  (PR [#3814](https://github.com/pipecat-ai/pipecat/pull/3814))
+
+- Fixed STT TTFB metrics measuring timeout expiry time instead of actual
+  transcript arrival time.
+  (PR [#3822](https://github.com/pipecat-ai/pipecat/pull/3822))
+
+- Fixed `InterimTranscriptionFrame` and `TranslationFrame` being
+  unintentionally pushed downstream in `LLMUserAggregator`. They are now
+  consumed like `TranscriptionFrame`.
+  (PR [#3825](https://github.com/pipecat-ai/pipecat/pull/3825))
+
+- Fixed misleading "Empty audio frame received for STT service" warnings when
+  using audio filters (e.g. `RNNoiseFilter`, `KrispVivaFilter`, `AICFilter`)
+  that buffer audio internally.
+  (PR [#3828](https://github.com/pipecat-ai/pipecat/pull/3828))
+
+- Fixed issues with `RimeNonJsonTTSService` where trailing punctuation is
+  sometimes vocalized
+  (PR [#3837](https://github.com/pipecat-ai/pipecat/pull/3837))
+
+- Fixed `TTSSpeakFrame` not committing spoken text to the conversation context
+  when used outside of an LLM response (e.g., bot greetings or injected
+  speech).
+  (PR [#3845](https://github.com/pipecat-ai/pipecat/pull/3845))
+
+- Removed verbose per-chunk audio logging from `GenesysAudioHookSerializer`
+  that flooded production logs.
+  (PR [#3850](https://github.com/pipecat-ai/pipecat/pull/3850))
+
+- Add beta feature warning when using custom prompts with AssemblyAI
+  (PR [#3856](https://github.com/pipecat-ai/pipecat/pull/3856))
+
+- Fixed `LocalSmartTurnAnalyzerV3` producing incorrect end-of-turn predictions
+  at non-16kHz sample rates (e.g. 8kHz Twilio telephony) by adding automatic
+  resampling to 16kHz before Whisper feature extraction.
+  (PR [#3857](https://github.com/pipecat-ai/pipecat/pull/3857))
+
+- Fixed `PipelineTask` double-inserting `RTVIProcessor` into the frame chain
+  when the user provides both an `RTVIProcessor` in the pipeline and a custom
+  `RTVIObserver` subclass in observers.
+  (PR [#3867](https://github.com/pipecat-ai/pipecat/pull/3867))
+
+- Fixed turn completion instructions being lost when `LLMMessagesUpdateFrame`
+  replaces the LLM context. When `filter_incomplete_user_turns` is enabled, the
+  turn completion system message is now re-injected after context replacement.
+  (PR [#3888](https://github.com/pipecat-ai/pipecat/pull/3888))
+
+- Fixed Azure TTS and STT services silently swallowing cancellation errors
+  (invalid API key, network failures, rate limiting) instead of propagating
+  them as `ErrorFrame`s to the pipeline.
+  (PR [#3893](https://github.com/pipecat-ai/pipecat/pull/3893))
+
+### Performance
+
+- Switched `GradiumTTSService` from `InterruptibleWordTTSService` to
+  `AudioContextWordTTSService`, eliminating websocket disconnect/reconnect on
+  every interruption by using `client_req_id`-based multiplexing.
+  (PR [#3759](https://github.com/pipecat-ai/pipecat/pull/3759))
+
+### Other
+
+- Standardized Sarvam STT/TTS User-Agent header handling to consistently send
+  Pipecat SDK identity in websocket requests.
+  (PR [#3886](https://github.com/pipecat-ai/pipecat/pull/3886))
+
+## [0.0.103] - 2026-02-20
+
+### Added
+
+- Added `"timestampTransportStrategy": "ASYNC"` to `InworldAITTSService`. This
+  allows timestamps info to trail audio chunks arrival, resulting in much
+  better first audio chunk latency
+  (PR [#3625](https://github.com/pipecat-ai/pipecat/pull/3625))
+
+- Added model-specific `InputParams` to `RimeTTSService`: arcana params
+  (`repetition_penalty`, `temperature`, `top_p`) and mistv2 params
+  (`no_text_normalization`, `save_oovs`, `segment`). Model, voice, and param
+  changes now trigger WebSocket reconnection.
+  (PR [#3642](https://github.com/pipecat-ai/pipecat/pull/3642))
+
+- Added `write_transport_frame()` hook to `BaseOutputTransport` allowing
+  transport subclasses to handle custom frame types that flow through the audio
+  queue.
+  (PR [#3719](https://github.com/pipecat-ai/pipecat/pull/3719))
+
+- Added `DailySIPTransferFrame` and `DailySIPReferFrame` to the Daily
+  transport.  These frames queue SIP transfer and SIP REFER operations with
+  audio, so the operation executes only after the bot finishes its current
+  utterance.
+  (PR [#3719](https://github.com/pipecat-ai/pipecat/pull/3719))
+
+- Added keepalive support to `SarvamSTTService` to prevent idle connection
+  timeouts (e.g. when used behind a `ServiceSwitcher`).
+  (PR [#3730](https://github.com/pipecat-ai/pipecat/pull/3730))
+
+- Added `UserIdleTimeoutUpdateFrame` to enable or disable user idle detection
+  at runtime by updating the timeout dynamically.
+  (PR [#3748](https://github.com/pipecat-ai/pipecat/pull/3748))
+
+- Added `broadcast_sibling_id` field to the base `Frame` class. This field is
+  automatically set by `broadcast_frame()` and `broadcast_frame_instance()` to
+  the ID of the paired frame pushed in the opposite direction, allowing
+  receivers to identify broadcast pairs.
+  (PR [#3774](https://github.com/pipecat-ai/pipecat/pull/3774))
+
+- Added `ignored_sources` parameter to `RTVIObserverParams` and
+  `add_ignored_source()`/`remove_ignored_source()` methods to `RTVIObserver` to
+  suppress RTVI messages from specific pipeline processors (e.g. a silent
+  evaluation LLM).
+  (PR [#3779](https://github.com/pipecat-ai/pipecat/pull/3779))
+
+- Added `DeepgramSageMakerTTSService` for running Deepgram TTS models deployed
+  on AWS SageMaker endpoints via HTTP/2 bidirectional streaming. Supports the
+  Deepgram TTS protocol (Speak, Flush, Clear, Close), interruption handling,
+  and per-turn TTFB metrics.
+  (PR [#3785](https://github.com/pipecat-ai/pipecat/pull/3785))
+
+### Changed
+
+- ⚠️ `RimeTTSService` now defaults to `model="arcana"` and the
+  `wss://users-ws.rime.ai/ws3` endpoint. `InputParams` defaults changed from
+  mistv2-specific values to `None` — only explicitly-set params are sent as
+  query params.
+  (PR [#3642](https://github.com/pipecat-ai/pipecat/pull/3642))
+
+- `AICFilter` now shares read-only AIC models via a singleton `AICModelManager`
+  in `aic_filter.py`.
+    - Multiple filters using the same model path or `(model_id,
+      model_download_dir)` share one loaded model, with reference counting and
+      concurrent load deduplication.
+    - Model file I/O runs off the event loop so the filter does not block.
+  (PR [#3684](https://github.com/pipecat-ai/pipecat/pull/3684))
+
+- Added `X-User-Agent` and `X-Request-Id` headers to `InworldTTSService` for
+  better traceability.
+  (PR [#3706](https://github.com/pipecat-ai/pipecat/pull/3706))
+
+- `DailyUpdateRemoteParticipantsFrame` is no longer deprecated and is now
+  queued with audio like other transport frames.
+  (PR [#3719](https://github.com/pipecat-ai/pipecat/pull/3719))
+
+- Bumped Pillow dependency upper bound from `<12` to `<13` to allow Pillow
+  12.x.
+  (PR [#3728](https://github.com/pipecat-ai/pipecat/pull/3728))
+
+- Moved STT keepalive mechanism from `WebsocketSTTService` to the `STTService`
+  base class, allowing any STT service (not just websocket-based ones) to use
+  idle-connection keepalive via the `keepalive_timeout` and
+  `keepalive_interval` parameters.
+  (PR [#3730](https://github.com/pipecat-ai/pipecat/pull/3730))
+
+- Improved audio context management in `AudioContextTTSService` by moving
+  context ID tracking to the base class and adding
+  `reuse_context_id_within_turn` parameter to control concurrent TTS request
+  handling.
+    - Added helper methods: `has_active_audio_context()`,
+      `get_active_audio_context_id()`, `remove_active_audio_context()`,
+      `reset_active_audio_context()`
+    - Simplified Cartesia, ElevenLabs, Inworld, Rime, AsyncAI, and Gradium TTS
+      implementations by removing duplicate context management code
+  (PR [#3732](https://github.com/pipecat-ai/pipecat/pull/3732))
+
+- `UserIdleController` is now always created with a default timeout of 0
+  (disabled). The `user_idle_timeout` parameter changed from `Optional[float] =
+  None` to `float = 0` in `UserTurnProcessor`, `LLMUserAggregatorParams`, and
+  `UserIdleController`.
+  (PR [#3748](https://github.com/pipecat-ai/pipecat/pull/3748))
+
+- Change the version specifier from `>=0.2.8` to `~=0.2.8` for the
+  `speechmatics-voice` package to ensure compatibility with future patch
+  versions.
+  (PR [#3761](https://github.com/pipecat-ai/pipecat/pull/3761))
+
+- Updated `InworldTTSService` and `InworldHttpTTSService` to use `ASYNC`
+  timestamp transport strategy by default
+  (PR [#3765](https://github.com/pipecat-ai/pipecat/pull/3765))
+
+- Added `start_time` and `end_time` parameters to `start_ttfb_metrics()`,
+  `stop_ttfb_metrics()`, `start_processing_metrics()`, and
+  `stop_processing_metrics()` in `FrameProcessor` and `FrameProcessorMetrics`,
+  allowing custom timestamps for metrics measurement. `STTService` now uses
+  these instead of custom TTFB tracking.
+  (PR [#3776](https://github.com/pipecat-ai/pipecat/pull/3776))
+
+- Updated default Anthropic model from `claude-sonnet-4-5-20250929` to
+  `claude-sonnet-4-6`.
+  (PR [#3792](https://github.com/pipecat-ai/pipecat/pull/3792))
+
+### Deprecated
+
+- Deprecated unused `Traceable`, `@traceable`, `@traced`, and
+  `AttachmentStrategy` in `pipecat.utils.tracing.class_decorators`. This module
+  will be removed in a future release.
+  (PR [#3733](https://github.com/pipecat-ai/pipecat/pull/3733))
+
+### Fixed
+
+- Fixed race condition where `RTVIObserver` could send messages before
+  `DailyTransport` join completed. Outbound messages are now queued & delivered
+  after the transport is ready.
+  (PR [#3615](https://github.com/pipecat-ai/pipecat/pull/3615))
+
+- Fixed async generator cleanup in OpenAI LLM streaming to prevent
+  `AttributeError` with uvloop on Python 3.12+ (MagicStack/uvloop#699).
+  (PR [#3698](https://github.com/pipecat-ai/pipecat/pull/3698))
+
+- Fixed `SmallWebRTCTransport` input audio resampling to properly handle all
+  sample rates, including 8kHz audio.
+  (PR [#3713](https://github.com/pipecat-ai/pipecat/pull/3713))
+
+- Fixed a race condition in `RTVIObserver` where bot output messages could be
+  sent before the bot-started-speaking event.
+  (PR [#3718](https://github.com/pipecat-ai/pipecat/pull/3718))
+
+- Fixed Grok Realtime `session.updated` event parsing failure caused by the API
+  returning prefixed voice names (e.g. `"human_Ara"` instead of `"Ara"`).
+  (PR [#3720](https://github.com/pipecat-ai/pipecat/pull/3720))
+
+- Fixed context ID reuse issue in `ElevenLabsTTSService`, `InworldTTSService`,
+  `RimeTTSService`, `CartesiaTTSService`, `AsyncAITTSService`, and
+  `PlayHTTTSService`. Services now properly reuse the same context ID across
+  multiple `run_tts()` invocations within a single LLM turn, preventing context
+  tracking issues and incorrect lifecycle signaling.
+  (PR [#3729](https://github.com/pipecat-ai/pipecat/pull/3729))
+
+- Fixed word timestamp interleaving issue in `ElevenLabsTTSService` when
+  processing multiple sentences within a single LLM turn.
+  (PR [#3729](https://github.com/pipecat-ai/pipecat/pull/3729))
+
+- Fixed tracing service decorators executing the wrapped function twice when
+  the function itself raised an exception (e.g., LLM rate limit, TTS timeout).
+  (PR [#3735](https://github.com/pipecat-ai/pipecat/pull/3735))
+
+- Fixed `LLMUserAggregator` broadcasting mute events before `StartFrame`
+  reaches downstream processors.
+  (PR [#3737](https://github.com/pipecat-ai/pipecat/pull/3737))
+
+- Fixed `UserIdleController` false idle triggers caused by gaps between user
+  and bot activity frames. The idle timer now starts only after
+  `BotStoppedSpeakingFrame` and is suppressed during active user turns and
+  function calls.
+  (PR [#3744](https://github.com/pipecat-ai/pipecat/pull/3744))
+
+- Fixed incorrect `sample_rate` assignment in
+  `TavusInputTransport._on_participant_audio_data` (was using
+  `audio.audio_frames` instead of `audio.sample_rate`).
+  (PR [#3768](https://github.com/pipecat-ai/pipecat/pull/3768))
+
+- Fixed `RTVIObserver` not processing upstream-only frames. Previously, all
+  upstream frames were filtered out to avoid duplicate messages from
+  broadcasted frames. Now only upstream copies of broadcasted frames are
+  skipped.
+  (PR [#3774](https://github.com/pipecat-ai/pipecat/pull/3774))
+
+- Fixed mutable default arguments in `LLMContextAggregatorPair.__init__()` that
+  could cause shared state across instances.
+  (PR [#3782](https://github.com/pipecat-ai/pipecat/pull/3782))
+
+- Fixed `DeepgramSageMakerSTTService` to properly track finalize lifecycle
+  using `request_finalize()` / `confirm_finalize()` and use `is_final` (instead
+  of `is_final and speech_final`) for final transcription detection, matching
+  `DeepgramSTTService` behavior.
+  (PR [#3784](https://github.com/pipecat-ai/pipecat/pull/3784))
+
+- Fixed a race condition in `AudioContextTTSService` where the audio context
+  could time out between consecutive TTS requests within the same turn, causing
+  audio to be discarded.
+  (PR [#3787](https://github.com/pipecat-ai/pipecat/pull/3787))
+
+- Fixed `push_interruption_task_frame_and_wait()` hanging indefinitely when the
+  `InterruptionFrame` does not reach the pipeline sink within the timeout.
+  Added a `timeout` keyword argument to customize the wait duration.
+  (PR [#3789](https://github.com/pipecat-ai/pipecat/pull/3789))
+
+## [0.0.102] - 2026-02-10
+
+### Added
+
+- Added `ResembleAITTSService` for text-to-speech using Resemble AI's streaming
+  WebSocket API with word-level timestamps and jitter buffering for smooth
+  audio playback.
+  (PR [#3134](https://github.com/pipecat-ai/pipecat/pull/3134))
+
+- Added `UserBotLatencyObserver` for tracking user-to-bot response latency.
+  When tracing is enabled, latency measurements are automatically recorded as
+  `turn.user_bot_latency_seconds` attributes on OpenTelemetry turn spans.
+  (PR [#3355](https://github.com/pipecat-ai/pipecat/pull/3355))
+
+- Added `append_to_context` parameter to `TTSSpeakFrame` for conditional LLM
+  context addition.
+    - Allows fine-grained control over whether text should be added to
+      conversation context
+    - Defaults to `True` to maintain backward compatibility
+  (PR [#3584](https://github.com/pipecat-ai/pipecat/pull/3584))
+
+- Added TTS context tracking system with `context_id` field to trace audio
+  generation through the pipeline.
+    - `TTSAudioRawFrame`, `TTSStartedFrame`, `TTSStoppedFrame` now include
+      `context_id`
+    - `AggregatedTextFrame` and `TTSTextFrame` now include `context_id`
+    - Enables tracking which TTS request generated specific audio chunks
+  (PR [#3584](https://github.com/pipecat-ai/pipecat/pull/3584))
+
+- Added support for Inworld TTS Websocket Auto Mode for improved latency
+  (PR [#3593](https://github.com/pipecat-ai/pipecat/pull/3593))
+
+- Added new frames for context summarization: `LLMContextSummaryRequestFrame`
+  and `LLMContextSummaryResultFrame`.
+  (PR [#3621](https://github.com/pipecat-ai/pipecat/pull/3621))
+
+- Added context summarization feature to automatically compress conversation
+  history when conversation length limits (by token or message count) are
+  reached, enabling efficient long-running conversations.
+    - Configure via `enable_context_summarization=True` in
+      `LLMAssistantAggregatorParams`
+    - Customize behavior with `LLMContextSummarizationConfig` (max tokens,
+      thresholds, etc.)
+    - Automatically preserves incomplete function call sequences during
+      summarization
+    - See new examples:
+  `examples/foundational/54-context-summarization-openai.py` and
+  `examples/foundational/54a-context-summarization-google.py`
+  (PR [#3621](https://github.com/pipecat-ai/pipecat/pull/3621))
+
+- Added RTVI function call lifecycle events (`llm-function-call-started`,
+  `llm-function-call-in-progress`, `llm-function-call-stopped`) with
+  configurable security levels via
+  `RTVIObserverParams.function_call_report_level`. Supports per-function
+  control over what information is exposed (`DISABLED`, `NONE`, `NAME`, or
+  `FULL`).
+  (PR [#3630](https://github.com/pipecat-ai/pipecat/pull/3630))
+
+- Added `RequestMetadataFrame` and metadata handling for `ServiceSwitcher` to
+  ensure STT services correctly emit `STTMetadataFrame` when switching between
+  services. Only the active service's metadata is propagated downstream,
+  switching services triggers the newly active service to re-emit its metadata,
+  and proper frame ordering is maintained at startup.
+  (PR [#3637](https://github.com/pipecat-ai/pipecat/pull/3637))
+
+- Added `STTMetadataFrame` to broadcast STT service latency information at
+  pipeline start.
+    - STT services broadcast P99 time-to-final-segment (`ttfs_p99_latency`) to
+      downstream processors
+    - Turn stop strategies automatically configure their STT timeout from this
+      metadata
+    - Developers can override `ttfs_p99_latency` via constructor argument for
+      custom deployments
+    - Added measured P99 values for STT providers.
+    - See [stt-benchmark](https://github.com/pipecat-ai/stt-benchmark) to
+      measure latency for your configuration
+  (PR [#3637](https://github.com/pipecat-ai/pipecat/pull/3637))
+
+- Added support for `is_sandbox` parameter in `LiveAvatarNewSessionRequest` to
+  enable sandbox mode for HeyGen LiveAvatar sessions.
+  (PR [#3653](https://github.com/pipecat-ai/pipecat/pull/3653))
+
+- Added support for `video_settings` parameter in `LiveAvatarNewSessionRequest`
+  to configure video encoding (H264/VP8) and quality levels.
+  (PR [#3653](https://github.com/pipecat-ai/pipecat/pull/3653))
+
+- Added `OpenAIRealtimeSTTService` for real-time streaming speech-to-text using
+  OpenAI's Realtime API WebSocket transcription sessions. Supports local VAD
+  and server-side VAD modes, noise reduction, and automatic reconnection.
+  (PR [#3656](https://github.com/pipecat-ai/pipecat/pull/3656))
+
+- Added `bulbul:v3-beta` TTS model support for Sarvam AI with temperature
+  control and 25 new speaker voices.
+  (PR [#3671](https://github.com/pipecat-ai/pipecat/pull/3671))
+
+- Added `saaras:v3` STT model support for Sarvam AI with new `mode` parameter
+  (transcribe, translate, verbatim, translit, codemix) and prompt support.
+  (PR [#3671](https://github.com/pipecat-ai/pipecat/pull/3671))
+
+- Added new OpenAI TTS voice options `marin` and `cedar`.
+  (PR [#3682](https://github.com/pipecat-ai/pipecat/pull/3682))
+
+- Added `UserMuteStartedFrame` and `UserMuteStoppedFrame` system frames, and
+  corresponding `user-mute-started` / `user-mute-stopped` RTVI messages, so
+  clients can observe when mute strategies activate or deactivate.
+  (PR [#3687](https://github.com/pipecat-ai/pipecat/pull/3687))
+
+### Changed
+
+- Updated all 30+ TTS service implementations to support context tracking with
+  `context_id`.
+    - Services now generate and propagate context IDs through TTS frames
+    - Enables end-to-end tracing of TTS requests through the pipeline
+  (PR [#3584](https://github.com/pipecat-ai/pipecat/pull/3584))
+
+- ⚠️ `TTSService.run_tts()` now requires a `context_id` parameter for context
+  tracking.
+    - Custom TTS service implementations must update their `run_tts()`
+      signature
+    - Before: `async def run_tts(self, text: str) -> AsyncGenerator[Frame,
+      None]:`
+    - After: `async def run_tts(self, text: str, context_id: str) ->
+      AsyncGenerator[Frame, None]:`
+  (PR [#3584](https://github.com/pipecat-ai/pipecat/pull/3584))
+
+- Simplified context aggregators to use `frame.append_to_context` flag instead
+  of tracking internal state.
+    - Cleaner logic in `LLMResponseAggregator` and
+      `LLMResponseUniversalAggregator`
+    - More consistent behavior across aggregator implementations
+  (PR [#3584](https://github.com/pipecat-ai/pipecat/pull/3584))
+
+- Updated timestamps to be cumulative within an agent turn, using
+  flushCompleted message as an indication of when timestamps from the server
+  are reset to 0
+  (PR [#3593](https://github.com/pipecat-ai/pipecat/pull/3593))
+
+- Changed `KokoroTTSService` to use `kokoro-onnx` instead of `kokoro` as the
+  underlying TTS engine.
+  (PR [#3612](https://github.com/pipecat-ai/pipecat/pull/3612))
+
+- Improved user turn stop timing in `TranscriptionUserTurnStopStrategy` and
+  `TurnAnalyzerUserTurnStopStrategy`.
+    - Timeout now starts on `VADUserStoppedSpeakingFrame` for tighter, more
+      predictable timing
+    - Added support for finalized transcripts
+      (`TranscriptionFrame.finalized=True`) to trigger earlier
+    - Added fallback timeout for edge cases where transcripts arrive without
+      VAD events
+    - Removed `InterimTranscriptionFrame` handling (no longer affects timing)
+  (PR [#3637](https://github.com/pipecat-ai/pipecat/pull/3637))
+
+- Improved the accuracy of the `UserBotLatencyObserver` and
+  `UserBotLatencyLogObserver` by measuring from the time when the user actually
+  starts speaking.
+  (PR [#3637](https://github.com/pipecat-ai/pipecat/pull/3637))
+
+- ⚠️ Renamed `timeout` parameter to `user_speech_timeout` in
+  `TranscriptionUserTurnStopStrategy`.
+  (PR [#3637](https://github.com/pipecat-ai/pipecat/pull/3637))
+
+- Updated the `VADUserStartedSpeakingFrame` to include `start_secs` and
+  `timestamp` and `VADUserStoppedSpeakingFrame` to include `stop_secs` and
+  `timestamp`, removing the need to separately handle the
+  `SpeechControlParamsFrame` for VADParams values.
+  (PR [#3637](https://github.com/pipecat-ai/pipecat/pull/3637))
+
+- ⚠️ Renamed `TranscriptionUserTurnStopStrategy` to
+  `SpeechTimeoutUserTurnStopStrategy`. The old name is deprecated and will be
+  removed in a future release.
+  (PR [#3637](https://github.com/pipecat-ai/pipecat/pull/3637))
+
+- `AssemblyAISTTService` now automatically configures optimal settings for
+  manual turn detection when `vad_force_turn_endpoint=True`. This sets
+  `end_of_turn_confidence_threshold=1.0` and `max_turn_silence=2000` by
+  default, which disables model-based turn detection and reduces latency by
+  relying on external VAD for turn endpoints. Warnings are logged if
+  conflicting settings are detected.
+  (PR [#3644](https://github.com/pipecat-ai/pipecat/pull/3644))
+
+- Upgraded the `pipecat-ai-small-webrtc-prebuilt` package to v2.1.0.
+  (PR [#3652](https://github.com/pipecat-ai/pipecat/pull/3652))
+
+- Changed default session mode from "CUSTOM" to "LITE" in HeyGen LiveAvatar
+  integration, with VP8 as the default video encoding.
+  (PR [#3653](https://github.com/pipecat-ai/pipecat/pull/3653))
+
+- ⚠️ The default `VADParams` `stop_secs` default is changing from `0.8` seconds
+  to `0.2` seconds. This change both simplifies the developer experience and
+  improves the performance of STT services. With a shorter `stop_secs` value,
+  STT services using a local VAD can finalize sooner, resulting in faster
+  transcription.
+    - `SpeechTimeoutUserTurnStopStrategy`: control how long to wait for
+      additional user speech using `user_speech_timeout` (default: 0.6 sec).
+    - `TurnAnalyzerUserTurnStopStrategy`: the turn analyzer automatically
+      adjusts the user wait time based on the audio input.
+  (PR [#3659](https://github.com/pipecat-ai/pipecat/pull/3659))
+
+- Moved interruption wait event from per-processor instance state to
+  `InterruptionFrame` itself. Added `InterruptionFrame.complete()` to signal
+  when the interruption has fully traversed the pipeline. Custom processors
+  that block or consume an `InterruptionFrame` before it reaches the pipeline
+  sink must call `frame.complete()` to avoid stalling
+  `push_interruption_task_frame_and_wait()`. A warning is logged if completion
+  does not happen within 2 seconds.
+  (PR [#3660](https://github.com/pipecat-ai/pipecat/pull/3660))
+
+- Update the default model to `scribe_v2` for `ElevenLabsSTTService`.
+  (PR [#3664](https://github.com/pipecat-ai/pipecat/pull/3664))
+
+- Changed the `DeepgramSTTService` default setting for `smart_format` to
+  `False`, as agents don't need smart formatting. Disabling this setting
+  provides a small performance improvement, as well.
+  (PR [#3666](https://github.com/pipecat-ai/pipecat/pull/3666))
+
+- Changed `FunctionCallCancelFrame` to broadcast in both directions for
+  consistency with other function call frames.
+  (PR [#3672](https://github.com/pipecat-ai/pipecat/pull/3672))
+
+- Changed default user turn stop strategy from
+  `TranscriptionUserTurnStopStrategy` to `TurnAnalyzerUserTurnStopStrategy`
+  with `LocalSmartTurnAnalyzerV3`.
+  (PR [#3689](https://github.com/pipecat-ai/pipecat/pull/3689))
+
+- Renamed `RequestMetadataFrame` to `ServiceSwitcherRequestMetadataFrame` and
+  added a `service` field to target a specific service. The frame is now pushed
+  downstream by services after handling instead of being silently consumed.
+  (PR [#3692](https://github.com/pipecat-ai/pipecat/pull/3692))
+
+- Update `SonioxSTTService` to set `vad_force_turn_endpoint` to `True`. This
+  setting disabled the turn detection logic available natively in Soniox.
+  Instead, Soniox relies on a local VAD to finalize the transcript. This
+  configuration meaningfully reduces the time to final segment for Soniox. With
+  this setting enabled, Soniox outputs a transcript in ~250ms (median). Pipecat
+  enables smart-turn detection by default using the `LocalSmartTurnAnalyzerV3`.
+  To use the native turn detection logic in Soniox, just set
+  `vad_force_turn_endpoint` to `False`.
+  (PR [#3697](https://github.com/pipecat-ai/pipecat/pull/3697))
+
+- Update `SonioxSTTService` default model to `stt-rt-v4`.
+  (PR [#3697](https://github.com/pipecat-ai/pipecat/pull/3697))
+
+- Updated the default model to `async_flash_v1.0` and base URL to
+  `https://api.async.com` for `AsyncAITTSService`.
+  (PR [#3701](https://github.com/pipecat-ai/pipecat/pull/3701))
+
+### Deprecated
+
+- Deprecated `UserBotLatencyLogObserver`. Use `UserBotLatencyObserver` directly
+  with its `on_latency_measured` event handler instead.
+  (PR [#3355](https://github.com/pipecat-ai/pipecat/pull/3355))
+
+- Deprecated `RTVILLMFunctionCallMessage`, `RTVILLMFunctionCallMessageData`,
+  and `RTVIProcessor.handle_function_call()`. Use the new
+  `llm-function-call-in-progress` event sent automatically by `RTVIObserver`
+  instead.
+  (PR [#3630](https://github.com/pipecat-ai/pipecat/pull/3630))
+
+### Removed
+
+- ⚠️ Removed `timeout` parameter from `TurnAnalyzerUserTurnStopStrategy`. The
+  timeout is now managed internally based on STT latency.
+  (PR [#3637](https://github.com/pipecat-ai/pipecat/pull/3637))
+
+### Fixed
+
+- Fixed pipeline freeze when `InterruptionFrame` discards `EndFrame` or
+  `StopFrame` by making terminal frames uninterruptible.
+  (PR [#3542](https://github.com/pipecat-ai/pipecat/pull/3542))
+
+- Fixed OpenAI LLM stream not being closed on cancellation/exception, which
+  could leak sockets.
+  (PR [#3589](https://github.com/pipecat-ai/pipecat/pull/3589))
+
+- Fixed `PipelineTask` adding duplicate `RTVIProcessor` and `RTVIObserver` when
+  they were already provided in the pipeline or observers list. They are now
+  detected and skipped, with appropriate warnings and errors logged for
+  mismatched configurations.
+  (PR [#3610](https://github.com/pipecat-ai/pipecat/pull/3610))
+
+- Fixed function call timeout task not being cancelled when the handler
+  completes without calling `result_callback` or is cancelled externally, which
+  caused `RuntimeWarning: coroutine was never awaited`.
+  (PR [#3616](https://github.com/pipecat-ai/pipecat/pull/3616))
+
+- Fixed sentence splitting for Japanese, Chinese, Korean, and other non-Latin
+  languages in TTS pipeline. NLTK's sentence tokenizer does not support CJK
+  languages, causing text to accumulate until flush instead of being split at
+  sentence boundaries. Added fallback detection for unambiguous non-Latin
+  sentence-ending punctuation (e.g., `。`, `？`, `！`).
+  (PR [#3617](https://github.com/pipecat-ai/pipecat/pull/3617))
+
+- Fixed `PipelineTask` to also call `set_bot_ready()` when an external
+  `RTVIProcessor` is provided.
+  (PR [#3623](https://github.com/pipecat-ai/pipecat/pull/3623))
+
+- Fixed `VADController` not broadcasting `SpeechControlParamsFrame` on startup,
+  which prevented STT services from receiving VAD params needed for TTFB
+  measurement.
+  (PR [#3628](https://github.com/pipecat-ai/pipecat/pull/3628))
+
+- Fixed `StopAsyncIteration` exceptions in `parse_telephony_websocket()` when
+  WebSocket connections close before sending expected messages.
+  (PR [#3629](https://github.com/pipecat-ai/pipecat/pull/3629))
+
+- Fixed WebSocket transport error when broadcasting
+  `InputTransportMessageFrame` by correctly instantiating the frame with its
+  message parameter.
+  (PR [#3635](https://github.com/pipecat-ai/pipecat/pull/3635))
+
+- Fixed orphan OpenTelemetry spans during flow initialization and transitions
+  in tracing.
+  (PR [#3649](https://github.com/pipecat-ai/pipecat/pull/3649))
+
+- Fixed `SambaNovaLLMService` and `GoogleLLMOpenAIBetaService` streams not
+  being closed on cancellation/exception, which could leak sockets.
+  (PR [#3663](https://github.com/pipecat-ai/pipecat/pull/3663))
+
+- Fixed an issue in `InworldTTSService` where punctuation was pronounced. Now,
+  the `InworldTTSService` ensures proper spacing between sentences, resolving
+  pronunciation issues.
+  (PR [#3667](https://github.com/pipecat-ai/pipecat/pull/3667))
+
+- Fixed `ParallelPipeline` allowing frames pushed by internal processors to
+  escape during lifecycle frame (`StartFrame`/`EndFrame`/`CancelFrame`)
+  synchronization. These frames are now buffered and flushed after all branches
+  complete.
+  (PR [#3668](https://github.com/pipecat-ai/pipecat/pull/3668))
+
+- Fixed issues in Sarvam STT and TTS services: missing event handler
+  registration for VAD signals, `Optional[bool]` type annotations, WebSocket
+  state cleanup on API errors, and TTS disconnect/reconnection state
+  management.
+  (PR [#3671](https://github.com/pipecat-ai/pipecat/pull/3671))
+
+- Fixed `RTVIObserver` sending duplicate client messages for frames that are
+  broadcast in both directions (e.g. `UserStartedSpeakingFrame`,
+  `FunctionCallResultFrame`).
+  (PR [#3672](https://github.com/pipecat-ai/pipecat/pull/3672))
+
+- Fixed WebSocket STT services (ElevenLabs, Cartesia, Gladia, Soniox)
+  disconnecting due to idle timeout when no audio is being sent (e.g. when
+  inactive behind a `ServiceSwitcher`). `WebsocketSTTService` now provides
+  opt-in silence-based keepalive via `keepalive_timeout` and
+  `keepalive_interval` parameters.
+  (PR [#3675](https://github.com/pipecat-ai/pipecat/pull/3675))
+
 ## [0.0.101] - 2026-01-30
 
 ### Added

CLAUDE.md

@@ -25,7 +25,7 @@ uv run pytest tests/test_name.py
 uv run pytest tests/test_name.py::test_function_name
 
 # Preview changelog
-towncrier build --draft --version Unreleased
+uv run towncrier build --draft --version Unreleased
 
 # Lint and format check
 uv run ruff check
@@ -42,7 +42,7 @@ uv lock && uv sync
 All data flows as **Frame** objects through a pipeline of **FrameProcessors**:
 
 ```
-Transport Input → Pipeline Source → [Processor1] → [Processor2] → ... → Pipeline Sink → Transport Output
+[Processor1] → [Processor2] → ... → [ProcessorN]
 ```
 
 **Key components:**
@@ -55,7 +55,11 @@ Transport Input → Pipeline Source → [Processor1] → [Processor2] → ...
 
 - **ParallelPipeline** (`src/pipecat/pipeline/parallel_pipeline.py`): Runs multiple pipelines in parallel.
 
-- **Transports** (`src/pipecat/transports/`): External I/O layer (Daily WebRTC, LiveKit WebRTC, WebSocket, Local). Abstract interface via `BaseTransport`.
+- **Transports** (`src/pipecat/transports/`): Transports are frame processors used for external I/O layer (Daily WebRTC, LiveKit WebRTC, WebSocket, Local). Abstract interface via `BaseTransport`, `BaseInputTransport` and `BaseOutputTransport`.
+
+- **Pipeline Task (`src/pipecat/pipeline/task.py`)**: Runs and manages a pipeline. Pipeline tasks send the first frame, `StartFrame`, to the pipeline in order for processors to know they can start processing and pushing frames. Pipeline tasks internally create a pipeline with two additional processors, a source processor before the user-defined pipeline and a sink processor at the end. Those are used for multiple things: error handling, pipeline task level events, heartbeat monitoring, etc.
+
+- **Pipeline Runner (`src/pipecat/pipeline/runner.py`)**: High-level entry point for executing pipeline tasks. Handles signal management (SIGINT/SIGTERM) for graceful shutdown and optional garbage collection. Run a single pipeline task with `await runner.run(task)` or multiple concurrently with `await asyncio.gather(runner.run(task1), runner.run(task2))`.
 
 - **Services** (`src/pipecat/services/`): 60+ AI provider integrations (STT, TTS, LLM, etc.). Extend base classes: `AIService`, `LLMService`, `STTService`, `TTSService`, `VisionService`.
 
@@ -63,12 +67,14 @@ Transport Input → Pipeline Source → [Processor1] → [Processor2] → ...
 
 - **RTVI** (`src/pipecat/processors/frameworks/rtvi.py`): Real-Time Voice Interface protocol bridging clients and the pipeline. `RTVIProcessor` handles incoming client messages (text input, audio, function call results). `RTVIObserver` converts pipeline frames to outgoing messages: user/bot speaking events, transcriptions, LLM/TTS lifecycle, function calls, metrics, and audio levels.
 
+- **Observers** (`src/pipecat/observers/`): Monitor frame flow without modifying the pipeline. Passed to `PipelineTask` via the `observers` parameter. Implement `on_process_frame()` and `on_push_frame()` callbacks.
+
 ### Important Patterns
 
 - **Context Aggregation**: `LLMContext` accumulates messages for LLM calls; `UserResponse` aggregates user input
 
 - **Turn Management**: Turn management is done through `LLMUserAggregator` and
-`LLMAssistantAggregator`, created with `LLMContextAggregatorPair`
+  `LLMAssistantAggregator`, created with `LLMContextAggregatorPair`
 
 - **User turn strategies**: Detection of when the user starts and stops speaking is done via user turn start/stop strategies. They push `UserStartedSpeakingFrame` and `UserStoppedSpeakingFrame` respectively.
 
@@ -76,26 +82,34 @@ Transport Input → Pipeline Source → [Processor1] → [Processor2] → ...
 
 - **Uninterruptible Frames**: These are frames that will not be removed from internal queues even if there's an interruption. For example, `EndFrame` and `StopFrame`.
 
-- **Events**: Most classes in Pipecat have `BaseObject` as the very base class. `BaseObject` has support for events. Events can run in the background in an async task (default) or synchronously (`sync=True`) if we want immediate action. Synchronous event handlers need to exectue fast.
+- **Events**: Most classes in Pipecat have `BaseObject` as the very base class. `BaseObject` has support for events. Events can run in the background in an async task (default) or synchronously (`sync=True`) if we want immediate action. Synchronous event handlers need to execute fast.
+
+- **Async Task Management**: Always use `self.create_task(coroutine, name)` instead of raw `asyncio.create_task()`. The `TaskManager` automatically tracks tasks and cleans them up on processor shutdown. Use `await self.cancel_task(task, timeout)` for cancellation.
+
+- **Error Handling**: Use `await self.push_error(msg, exception, fatal)` to push errors upstream. Services should use `fatal=False` (the default) so application code can handle errors and take action (e.g. switch to another service).
 
 ### Key Directories
 
-| Directory                 | Purpose                                            |
-|---------------------------|----------------------------------------------------|
-| `src/pipecat/frames/`     | Frame definitions (100+ types)                     |
-| `src/pipecat/processors/` | FrameProcessor base + aggregators, filters, audio  |
-| `src/pipecat/pipeline/`   | Pipeline orchestration                             |
-| `src/pipecat/services/`   | AI service integrations (60+ providers)            |
-| `src/pipecat/transports/` | Transport layer (Daily, LiveKit, WebSocket, Local) |
-| `src/pipecat/serializers/`| Frame serialization for WebSocket protocols        |
-| `src/pipecat/audio/`      | VAD, filters, mixers, turn detection, DTMF         |
-| `src/pipecat/turns/`      | User turn management                               |
+| Directory                  | Purpose                                            |
+| -------------------------- | -------------------------------------------------- |
+| `src/pipecat/frames/`      | Frame definitions (100+ types)                     |
+| `src/pipecat/processors/`  | FrameProcessor base + aggregators, filters, audio  |
+| `src/pipecat/pipeline/`    | Pipeline orchestration                             |
+| `src/pipecat/services/`    | AI service integrations (60+ providers)            |
+| `src/pipecat/transports/`  | Transport layer (Daily, LiveKit, WebSocket, Local) |
+| `src/pipecat/serializers/` | Frame serialization for WebSocket protocols        |
+| `src/pipecat/observers/`   | Pipeline observers for monitoring frame flow       |
+| `src/pipecat/audio/`       | VAD, filters, mixers, turn detection, DTMF         |
+| `src/pipecat/turns/`       | User turn management                               |
 
 ## Code Style
 
 - **Docstrings**: Google-style. Classes describe purpose; `__init__` has `Args:` section; dataclasses use `Parameters:` section.
 - **Linting**: Ruff (line length 100). Pre-commit hooks enforce formatting.
 - **Type hints**: Required for complex async code.
+- **Dataclass vs Pydantic**: Use `@dataclass` for frames and internal pipeline data (high-frequency, no validation needed). Use Pydantic `BaseModel` for configuration, parameters, metrics, and external API data (benefits from validation and serialization). Specifically:
+  - `@dataclass`: Frame types, context aggregator pairs, internal data containers
+  - `BaseModel`: Service `InputParams`, transport/VAD/turn params, metrics data, API request/response models, serializer params
 
 ### Docstring Example
 
@@ -138,6 +152,6 @@ When adding a new service:
 6. Add metrics tracking via `MetricsData` if relevant
 7. Follow the pattern of existing services in `src/pipecat/services/`
 
-## Pull Requests
+## Testing
 
-After creating a PR, use `/changelog <pr_number>` to generate the changelog file and `/pr-description <pr_number>` to update the PR description.
+Test utilities live in `src/pipecat/tests/utils.py`. Use `run_test()` to send frames through a pipeline and assert expected output frames in each direction. Use `SleepFrame(sleep=N)` to add delays between frames.

COMMUNITY_INTEGRATIONS.md

@@ -25,7 +25,6 @@ Your repository must contain these components:
 - **Source code** - Complete implementation following Pipecat patterns
 - **Foundational example** - Single file example showing basic usage (see [Pipecat examples](https://github.com/pipecat-ai/pipecat/tree/main/examples/foundational))
 - **README.md** - Must include:
-
   - Introduction and explanation of your integration
   - Installation instructions
   - Usage instructions with Pipecat Pipeline
@@ -110,7 +109,6 @@ Once your PR is submitted, post in the `#community-integrations` Discord channel
 #### Key requirements:
 
 - **Frame sequence:** Output must follow this frame sequence pattern:
-
   - `LLMFullResponseStartFrame` - Signals the start of an LLM response
   - `LLMTextFrame` - Contains LLM content, typically streamed as tokens
   - `LLMFullResponseEndFrame` - Signals the end of an LLM response
@@ -235,22 +233,79 @@ def can_generate_metrics(self) -> bool:
 
 ### Dynamic Settings Updates
 
-STT, LLM, and TTS services support `ServiceUpdateSettingsFrame` for dynamic configuration changes. The base STTService has an `_update_settings()` method that handles settings, and the private `_settings` `Dict` is used to store settings and provide access to the subclass.
+STT, LLM, and TTS services support runtime configuration changes via `*UpdateSettingsFrame`s (e.g. `STTUpdateSettingsFrame`, `TTSUpdateSettingsFrame`, `LLMUpdateSettingsFrame`).
+
+Each service declares a settings dataclass that extends the appropriate base (`STTSettings`, `TTSSettings`, `LLMSettings`). Fields default to `NOT_GIVEN` so that update objects can represent sparse deltas:
 
 ```python
-async def set_language(self, language: Language):
-    """Set the recognition language and reconnect.
+from dataclasses import dataclass, field
 
-    Args:
-        language: The language to use for speech recognition.
+from pipecat.services.settings import STTSettings, NOT_GIVEN
+
+@dataclass
+class MySTTSettings(STTSettings):
+    """Settings for my STT service.
+
+    Parameters:
+        region: Cloud region for the service.
     """
-    logger.info(f"Switching STT language to: [{language}]")
-    self._settings["language"] = language
-    await self._disconnect()
-    await self._connect()
+
+    region: str = field(default_factory=lambda: NOT_GIVEN)
 ```
 
-Note that, in this example, Deepgram requires the websocket connection be disconnected and reconnected to reinitialize the service with the new value. Consider if your service requires reconnection.
+The service stores its current settings in `self._settings` and declares the type with a class-level annotation for editor support:
+
+```python
+class MySTTService(STTService):
+    _settings: MySTTSettings
+
+    def __init__(self, *, model: str, language: str, region: str, **kwargs):
+        # An initial value should be provided for every settings field.
+        # This will be validated at service start.
+        # (If you track sample_rate, it can be a placeholder value like 0; see
+        # "Sample Rate Handling").
+        super().__init__(
+            settings=MySTTSettings(model=model, language=language, region=region), **kwargs
+        )
+```
+
+To react to runtime setting changes, override `_update_settings`. The base implementation applies the delta to `self._settings` and returns a `dict` mapping each changed field name to its **pre-update** value. Your override should call `super()` first, then act on the changed fields. A common implementation might look like:
+
+```python
+async def _update_settings(self, update: STTSettings) -> dict[str, Any]:
+    """Apply a settings update, reconfiguring the recognizer if needed."""
+    changed = await super()._update_settings(update)
+
+    if not changed:
+        return changed
+
+    await self._disconnect()
+    await self._connect()
+
+    return changed
+```
+
+The dict keys work like a set for membership tests (`"language" in changed`) and truthiness (`if changed`). Use `changed.keys() - {"language"}` for set difference, or `changed["language"]` to inspect the previous value of a field.
+
+Note that, in this example, the service requires a reconnect to apply the new language. Consider, for each setting, whether your service requires reconnection or can apply changes in-place.
+
+If your service can't yet apply certain settings at runtime, call `self._warn_unhandled_updated_settings(changed)` with any unhandled field names so users get a clear log message:
+
+```python
+async def _update_settings(self, update: STTSettings) -> dict[str, Any]:
+    changed = await super()._update_settings(update)
+
+    if not changed:
+        return changed
+
+    if "language" in changed:
+        await self._update_language()
+    else:
+        # TODO: this should be temporary - handle changes to other settings soon!
+        self._warn_unhandled_updated_settings(changed.keys() - {"language"})
+
+    return changed
+```
 
 ### Sample Rate Handling
 
@@ -260,7 +315,7 @@ Sample rates are set via PipelineParams and passed to each frame processor at in
 async def start(self, frame: StartFrame):
     """Start the service."""
     await super().start(frame)
-    self._settings["output_format"]["sample_rate"] = self.sample_rate
+    self._settings.output_sample_rate = self.sample_rate
     await self._connect()
 ```
 

CONTRIBUTING.md

@@ -49,12 +49,12 @@ Every pull request that makes a user-facing change should include a changelog en
    ```
 
 2. Choose the appropriate type:
-
    - `added.md` - New features
    - `changed.md` - Changes in existing functionality
    - `deprecated.md` - Soon-to-be removed features
    - `removed.md` - Removed features
    - `fixed.md` - Bug fixes
+   - `performance.md` - Performance improvements
    - `security.md` - Security fixes
    - `other.md` - Other changes (documentation, dependencies, etc.)
 
@@ -80,7 +80,6 @@ Every pull request that makes a user-facing change should include a changelog en
 
 ```markdown
 - Updated service configuration:
-
   - Changed default timeout to 30 seconds
   - Added retry logic for failed connections
 ```
@@ -105,7 +104,6 @@ changelog/1234.changed.2.md
 
 ```markdown
 - Updated service configuration:
-
   - Changed default timeout to 30 seconds
   - Added retry logic for failed connections
 ```

README.md

@@ -55,6 +55,16 @@ Looking for help debugging your pipeline and processors? Check out [Whisker](htt
 
 Love terminal applications? Check out [Tail](https://github.com/pipecat-ai/tail), a terminal dashboard for Pipecat.
 
+### 🤖 Claude Code Skills
+
+Use [Pipecat Skills](https://github.com/pipecat-ai/skills) with [Claude Code](https://claude.ai/code) to scaffold projects, deploy to Pipecat Cloud, and more. Install the marketplace with:
+
+```
+claude plugin marketplace add pipecat-ai/skills
+```
+
+and install any of the available plugins.
+
 ### 📺️ Pipecat TV Channel
 
 Catch new features, interviews, and how-tos on our [Pipecat TV](https://www.youtube.com/playlist?list=PLzU2zoMTQIHjqC3v4q2XVSR3hGSzwKFwH) channel.
@@ -71,19 +81,19 @@ Catch new features, interviews, and how-tos on our [Pipecat TV](https://www.yout
 
 ## 🧩 Available services
 
-| Category            | Services                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
-| ------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| Speech-to-Text      | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Cartesia](https://docs.pipecat.ai/server/services/stt/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/stt/elevenlabs), [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), [Gradium](https://docs.pipecat.ai/server/services/stt/gradium), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [Hathora](https://docs.pipecat.ai/server/services/stt/hathora), [NVIDIA Riva](https://docs.pipecat.ai/server/services/stt/riva), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [SambaNova (Whisper)](https://docs.pipecat.ai/server/services/stt/sambanova), [Sarvam](https://docs.pipecat.ai/server/services/stt/sarvam), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper)                                                                                                                                                                                                                                                            |
-| LLMs                | [Anthropic](https://docs.pipecat.ai/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/server/services/llm/aws), [Azure](https://docs.pipecat.ai/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [Mistral](https://docs.pipecat.ai/server/services/llm/mistral), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [OpenRouter](https://docs.pipecat.ai/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/server/services/llm/qwen), [SambaNova](https://docs.pipecat.ai/server/services/llm/sambanova) [Together AI](https://docs.pipecat.ai/server/services/llm/together)                                                                                                                                                                                                                                                                                              |
-| Text-to-Speech      | [Async](https://docs.pipecat.ai/server/services/tts/asyncai), [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Camb AI](https://docs.pipecat.ai/server/services/tts/camb), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [Gradium](https://docs.pipecat.ai/server/services/tts/gradium), [Groq](https://docs.pipecat.ai/server/services/tts/groq), [Hathora](https://docs.pipecat.ai/server/services/tts/hathora), [Hume](https://docs.pipecat.ai/server/services/tts/hume), [Inworld](https://docs.pipecat.ai/server/services/tts/inworld), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/server/services/tts/minimax), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [NVIDIA Riva](https://docs.pipecat.ai/server/services/tts/riva), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [Piper](https://docs.pipecat.ai/server/services/tts/piper), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Resemble](https://docs.pipecat.ai/server/services/tts/resemble), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [Speechmatics](https://docs.pipecat.ai/server/services/tts/speechmatics), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) |
-| Speech-to-Speech    | [AWS Nova Sonic](https://docs.pipecat.ai/server/services/s2s/aws), [Gemini Multimodal Live](https://docs.pipecat.ai/server/services/s2s/gemini), [Grok Voice Agent](https://docs.pipecat.ai/server/services/s2s/grok), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai), [Ultravox](https://docs.pipecat.ai/server/services/s2s/ultravox),                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
-| Transport           | [Daily (WebRTC)](https://docs.pipecat.ai/server/services/transport/daily), [FastAPI Websocket](https://docs.pipecat.ai/server/services/transport/fastapi-websocket), [SmallWebRTCTransport](https://docs.pipecat.ai/server/services/transport/small-webrtc), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), Local                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
-| Serializers         | [Exotel](https://docs.pipecat.ai/server/utilities/serializers/exotel), [Plivo](https://docs.pipecat.ai/server/utilities/serializers/plivo), [Twilio](https://docs.pipecat.ai/server/utilities/serializers/twilio), [Telnyx](https://docs.pipecat.ai/server/utilities/serializers/telnyx), [Vonage](https://docs.pipecat.ai/server/utilities/serializers/vonage)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
-| Video               | [HeyGen](https://docs.pipecat.ai/server/services/video/heygen), [Tavus](https://docs.pipecat.ai/server/services/video/tavus), [Simli](https://docs.pipecat.ai/server/services/video/simli)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
-| Memory              | [mem0](https://docs.pipecat.ai/server/services/memory/mem0)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
-| Vision & Image      | [fal](https://docs.pipecat.ai/server/services/image-generation/fal), [Google Imagen](https://docs.pipecat.ai/server/services/image-generation/google-imagen), [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), [ai-coustics](https://docs.pipecat.ai/server/utilities/audio/aic-filter)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
-| Analytics & Metrics | [OpenTelemetry](https://docs.pipecat.ai/server/utilities/opentelemetry), [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
+| Category            | Services                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
+| ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| Speech-to-Text      | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Cartesia](https://docs.pipecat.ai/server/services/stt/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/stt/elevenlabs), [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), [Gradium](https://docs.pipecat.ai/server/services/stt/gradium), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [Hathora](https://docs.pipecat.ai/server/services/stt/hathora), [NVIDIA Riva](https://docs.pipecat.ai/server/services/stt/riva), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [SambaNova (Whisper)](https://docs.pipecat.ai/server/services/stt/sambanova), [Sarvam](https://docs.pipecat.ai/server/services/stt/sarvam), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper)                                                                                                                                                                                                                                                                                                                             |
+| LLMs                | [Anthropic](https://docs.pipecat.ai/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/server/services/llm/aws), [Azure](https://docs.pipecat.ai/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [Mistral](https://docs.pipecat.ai/server/services/llm/mistral), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [OpenRouter](https://docs.pipecat.ai/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/server/services/llm/qwen), [SambaNova](https://docs.pipecat.ai/server/services/llm/sambanova) [Together AI](https://docs.pipecat.ai/server/services/llm/together)                                                                                                                                                                                                                                                                                                                                                                                                                               |
+| Text-to-Speech      | [Async](https://docs.pipecat.ai/server/services/tts/asyncai), [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Camb AI](https://docs.pipecat.ai/server/services/tts/camb), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [Gradium](https://docs.pipecat.ai/server/services/tts/gradium), [Groq](https://docs.pipecat.ai/server/services/tts/groq), [Hathora](https://docs.pipecat.ai/server/services/tts/hathora), [Hume](https://docs.pipecat.ai/server/services/tts/hume), [Inworld](https://docs.pipecat.ai/server/services/tts/inworld), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/server/services/tts/minimax), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [NVIDIA Riva](https://docs.pipecat.ai/server/services/tts/riva), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [Piper](https://docs.pipecat.ai/server/services/tts/piper), [Resemble](https://docs.pipecat.ai/server/services/tts/resemble), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [Speechmatics](https://docs.pipecat.ai/server/services/tts/speechmatics), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) |
+| Speech-to-Speech    | [AWS Nova Sonic](https://docs.pipecat.ai/server/services/s2s/aws), [Gemini Multimodal Live](https://docs.pipecat.ai/server/services/s2s/gemini), [Grok Voice Agent](https://docs.pipecat.ai/server/services/s2s/grok), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai), [Ultravox](https://docs.pipecat.ai/server/services/s2s/ultravox),                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
+| Transport           | [Daily (WebRTC)](https://docs.pipecat.ai/server/services/transport/daily), [FastAPI Websocket](https://docs.pipecat.ai/server/services/transport/fastapi-websocket), [SmallWebRTCTransport](https://docs.pipecat.ai/server/services/transport/small-webrtc), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), Local                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
+| Serializers         | [Exotel](https://docs.pipecat.ai/server/utilities/serializers/exotel), [Plivo](https://docs.pipecat.ai/server/utilities/serializers/plivo), [Twilio](https://docs.pipecat.ai/server/utilities/serializers/twilio), [Telnyx](https://docs.pipecat.ai/server/utilities/serializers/telnyx), [Vonage](https://docs.pipecat.ai/server/utilities/serializers/vonage)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
+| Video               | [HeyGen](https://docs.pipecat.ai/server/services/video/heygen), [LemonSlice](https://docs.pipecat.ai/server/services/video/lemonslice), [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/google-imagen), [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), [ai-coustics](https://docs.pipecat.ai/server/utilities/audio/aic-filter)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
+| Analytics & Metrics | [OpenTelemetry](https://docs.pipecat.ai/server/utilities/opentelemetry), [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
 
 📚 [View full services documentation →](https://docs.pipecat.ai/server/services/supported-services)
 
@@ -163,6 +173,15 @@ You can get started with Pipecat running on your local machine, then move your a
 
 > **Note**: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.
 
+### Claude Code Skills
+
+Install development workflow skills for contributing to Pipecat with [Claude Code](https://claude.ai/code):
+
+```
+claude plugin marketplace add pipecat-ai/pipecat
+claude plugin install pipecat-dev@pipecat-dev-skills
+```
+
 ### Running tests
 
 To run all tests, from the root directory:

changelog/3134.added.md

@@ -1 +0,0 @@
-- Added `ResembleAITTSService` for text-to-speech using Resemble AI's streaming WebSocket API with word-level timestamps and jitter buffering for smooth audio playback.

changelog/3355.added.md

@@ -1 +0,0 @@
-- Added `UserBotLatencyObserver` for tracking user-to-bot response latency. When tracing is enabled, latency measurements are automatically recorded as `turn.user_bot_latency_seconds` attributes on OpenTelemetry turn spans.

changelog/3355.deprecated.md

@@ -1 +0,0 @@
-- Deprecated `UserBotLatencyLogObserver`. Use `UserBotLatencyObserver` directly with its `on_latency_measured` event handler instead.

changelog/3542.fixed.md

@@ -1 +0,0 @@
-- Fixed pipeline freeze when `InterruptionFrame` discards `EndFrame` or `StopFrame` by making terminal frames uninterruptible.

changelog/3589.fixed.md

@@ -1 +0,0 @@
-- Fixed OpenAI LLM stream not being closed on cancellation/exception, which could leak sockets.

changelog/3593.added.md

@@ -1 +0,0 @@
-- Added support for Inworld TTS Websocket Auto Mode for improved latency

changelog/3593.changed.md

@@ -1 +0,0 @@
-- Updated timestamps to be cumulative within an agent turn, using flushCompleted message as an indication of when timestamps from the server are reset to 0

changelog/3610.fixed.md

@@ -1 +0,0 @@
-- Fixed `PipelineTask` adding duplicate `RTVIProcessor` and `RTVIObserver` when they were already provided in the pipeline or observers list. They are now detected and skipped, with appropriate warnings and errors logged for mismatched configurations.

changelog/3612.changed.md

@@ -1 +0,0 @@
--  Changed `KokoroTTSService` to use `kokoro-onnx` instead of `kokoro` as the underlying TTS engine.

changelog/3616.fixed.md

@@ -1 +0,0 @@
-- Fixed function call timeout task not being cancelled when the handler completes without calling `result_callback` or is cancelled externally, which caused `RuntimeWarning: coroutine was never awaited`.

changelog/3617.fixed.md

@@ -1,5 +0,0 @@
-- Fixed sentence splitting for Japanese, Chinese, Korean, and other non-Latin
-  languages in TTS pipeline. NLTK's sentence tokenizer does not support CJK
-  languages, causing text to accumulate until flush instead of being split at
-  sentence boundaries. Added fallback detection for unambiguous non-Latin
-  sentence-ending punctuation (e.g., `。`, `？`, `！`).

changelog/3623.fixed.md

@@ -1 +0,0 @@
-- Fixed `PipelineTask` to also call `set_bot_ready()` when an external `RTVIProcessor` is provided.

changelog/3628.fixed.md

@@ -1 +0,0 @@
-- Fixed `VADController` not broadcasting `SpeechControlParamsFrame` on startup, which prevented STT services from receiving VAD params needed for TTFB measurement.

changelog/3629.fixed.md

@@ -1 +0,0 @@
-- Fixed `StopAsyncIteration` exceptions in `parse_telephony_websocket()` when WebSocket connections close before sending expected messages.

changelog/3630.added.md

@@ -1 +0,0 @@
-- Added RTVI function call lifecycle events (`llm-function-call-started`, `llm-function-call-in-progress`, `llm-function-call-stopped`) with configurable security levels via `RTVIObserverParams.function_call_report_level`. Supports per-function control over what information is exposed (`DISABLED`, `NONE`, `NAME`, or `FULL`).

changelog/3630.deprecated.md

@@ -1 +0,0 @@
-- Deprecated `RTVILLMFunctionCallMessage`, `RTVILLMFunctionCallMessageData`, and `RTVIProcessor.handle_function_call()`. Use the new `llm-function-call-in-progress` event sent automatically by `RTVIObserver` instead.

changelog/3635.fixed.md

@@ -1 +0,0 @@
-- Fixed WebSocket transport error when broadcasting `InputTransportMessageFrame` by correctly instantiating the frame with its message parameter.

changelog/3649.fixed.md

@@ -1 +0,0 @@
-- Fixed orphan OpenTelemetry spans during flow initialization and transitions in tracing.

changelog/3652.changed.md

@@ -1 +0,0 @@
-- Upgraded the `pipecat-ai-small-webrtc-prebuilt` package to v2.1.0.

changelog/3656.added.md

@@ -1 +0,0 @@
-- Added `OpenAIRealtimeSTTService` for real-time streaming speech-to-text using OpenAI's Realtime API WebSocket transcription sessions. Supports local VAD and server-side VAD modes, noise reduction, and automatic reconnection.

changelog/3659.changed.md

@@ -1,10 +0,0 @@
-- ⚠️ The default `VADParams` `stop_secs` default is changing from `0.8` seconds
-  to `0.2` seconds. This change both simplifies the developer experience and
-    improves the performance of STT services. With a shorter `stop_secs` value,
-    STT services using a local VAD can finalize sooner, resulting in faster
-    transcription.
-
-  - `SpeechTimeoutUserTurnStopStrategy`: control how long to wait for
-    additional user speech using `user_speech_timeout` (default: 0.6 sec).
-  - `TurnAnalyzerUserTurnStopStrategy`: the turn analyzer automatically adjusts
-    the user wait time based on the audio input.

changelog/3660.changed.md

@@ -1 +0,0 @@
-- Moved interruption wait event from per-processor instance state to `InterruptionFrame` itself. Added `InterruptionFrame.complete()` to signal when the interruption has fully traversed the pipeline. Custom processors that block or consume an `InterruptionFrame` before it reaches the pipeline sink must call `frame.complete()` to avoid stalling `push_interruption_task_frame_and_wait()`. A warning is logged if completion does not happen within 2 seconds.

changelog/3663.fixed.md

@@ -1 +0,0 @@
-- Fixed `SambaNovaLLMService` and `GoogleLLMOpenAIBetaService` streams not being closed on cancellation/exception, which could leak sockets.

changelog/3664.changed.md

@@ -1 +0,0 @@
-- Update the default model to `scribe_v2` for `ElevenLabsSTTService`.

changelog/3666.changed.md

@@ -1 +0,0 @@
-- Changed the `DeepgramSTTService` default setting for `smart_format` to `False`, as agents don't need smart formatting. Disabling this setting provides a small performance improvement, as well.

changelog/3667.fixed.md

@@ -1 +0,0 @@
-- Fixed an issue in `InworldTTSService` where punctuation was pronounced. Now, the `InworldTTSService` ensures proper spacing between sentences, resolving pronunciation issues.

changelog/3668.fixed.md

@@ -1 +0,0 @@
-- Fixed `ParallelPipeline` allowing frames pushed by internal processors to escape during lifecycle frame (`StartFrame`/`EndFrame`/`CancelFrame`) synchronization. These frames are now buffered and flushed after all branches complete.

docs/api/README.md

@@ -42,7 +42,7 @@ 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)
+- Handles conflicting dependencies (like grpcio versions for Riva)
 - Builds the documentation in an isolated environment
 - Provides detailed logging of the build process
 
@@ -74,7 +74,6 @@ start _build/html/index.html
 ├── 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
 ```

env.example

@@ -47,7 +47,8 @@ DAILY_ROOM_URL=https://...
 
 # Deepgram
 DEEPGRAM_API_KEY=...
-SAGEMAKER_ENDPOINT_NAME=...
+SAGEMAKER_STT_ENDPOINT_NAME=...
+SAGEMAKER_TTS_ENDPOINT_NAME=...
 
 # DeepSeek
 DEEPSEEK_API_KEY=...
@@ -103,9 +104,14 @@ INWORLD_API_KEY=...
 KRISP_MODEL_PATH=...
 
 # Krisp Viva
+KRISP_VIVA_API_KEY=...
 KRISP_VIVA_FILTER_MODEL_PATH=...
 KRISP_VIVA_TURN_MODEL_PATH=...
 
+# LemonSlice
+LEMONSLICE_API_KEY=...
+LEMONSLICE_AGENT_ID=...
+
 # LiveKit
 LIVEKIT_API_KEY=...
 LIVEKIT_API_SECRET=...
@@ -145,10 +151,6 @@ KOALA_ACCESS_KEY=...
 # Piper
 PIPER_BASE_URL=...
 
-# PlayHT
-PLAYHT_USER_ID=...
-PLAYHT_API_KEY=...
-
 # Plivo
 PLIVO_AUTH_ID=...
 PLIVO_AUTH_TOKEN=...

examples/foundational/04-transports-small-webrtc.py

@@ -17,7 +17,6 @@ from fastapi.responses import RedirectResponse
 from loguru import logger
 from pipecat_ai_small_webrtc_prebuilt.frontend import SmallWebRTCPrebuiltUI
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -34,8 +33,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import TransportParams
 from pipecat.transports.smallwebrtc.connection import IceServer, SmallWebRTCConnection
 from pipecat.transports.smallwebrtc.transport import SmallWebRTCTransport
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -85,12 +82,7 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -12,7 +12,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -27,8 +26,6 @@ from pipecat.runner.daily import configure
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.daily.transport import DailyParams, DailyTransport
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -68,14 +65,7 @@ async def main():
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

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

@@ -12,7 +12,6 @@ import sys
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import (
     InterruptionFrame,
@@ -34,8 +33,6 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.livekit.transport import LiveKitParams, LiveKitTransport
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -78,12 +75,7 @@ async def main():
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -9,7 +9,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import Frame, LLMRunFrame, MetricsFrame
 from pipecat.metrics.metrics import (
@@ -35,8 +34,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -103,12 +100,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ from dotenv import load_dotenv
 from loguru import logger
 from PIL import Image
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import (
     BotStartedSpeakingFrame,
@@ -35,8 +34,6 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -118,12 +115,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     image_sync_aggregator = ImageSyncAggregator(

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

@@ -9,7 +9,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -28,8 +27,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -74,12 +71,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

examples/foundational/07-interruptible.py

@@ -9,7 +9,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -25,11 +24,10 @@ from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.services.tts_service import TextAggregationMode
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -59,6 +57,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
         voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
+        # Alternatively, you can use TextAggregationMode.TOKEN to stream tokens instead of
+        # sentencesfor faster response times.
+        # text_aggregation_mode=TextAggregationMode.TOKEN,
     )
 
     llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
@@ -73,12 +74,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -31,8 +30,6 @@ from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -114,14 +111,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

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

@@ -15,7 +15,6 @@ from langchain_core.runnables.history import RunnableWithMessageHistory
 from langchain_openai import ChatOpenAI
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMMessagesUpdateFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -34,8 +33,6 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -100,12 +97,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext()
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,6 +10,7 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
+from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
@@ -72,7 +73,10 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(user_turn_strategies=ExternalUserTurnStrategies()),
+        user_params=LLMUserAggregatorParams(
+            user_turn_strategies=ExternalUserTurnStrategies(),
+            vad_analyzer=SileroVADAnalyzer(),
+        ),
     )
 
     pipeline = Pipeline(

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

@@ -11,7 +11,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -78,14 +75,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -24,13 +23,11 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.aws.llm import AWSBedrockLLMService
-from pipecat.services.deepgram.stt_sagemaker import DeepgramSageMakerSTTService
-from pipecat.services.deepgram.tts import DeepgramTTSService
+from pipecat.services.deepgram.sagemaker.stt import DeepgramSageMakerSTTService
+from pipecat.services.deepgram.sagemaker.tts import DeepgramSageMakerTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -61,11 +58,19 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     # - AWS credentials configured (via environment variables or AWS CLI)
     # - A deployed SageMaker endpoint with Deepgram model
     stt = DeepgramSageMakerSTTService(
-        endpoint_name=os.getenv("SAGEMAKER_ENDPOINT_NAME"),
+        endpoint_name=os.getenv("SAGEMAKER_STT_ENDPOINT_NAME"),
         region=os.getenv("AWS_REGION"),
     )
 
-    tts = DeepgramTTSService(api_key=os.getenv("DEEPGRAM_API_KEY"), voice="aura-2-andromeda-en")
+    # Initialize Deepgram SageMaker TTS Service
+    # This requires:
+    # - AWS credentials configured (via environment variables or AWS CLI)
+    # - A deployed SageMaker endpoint with Deepgram TTS model
+    tts = DeepgramSageMakerTTSService(
+        endpoint_name=os.getenv("SAGEMAKER_TTS_ENDPOINT_NAME"),
+        region=os.getenv("AWS_REGION"),
+        voice="aura-2-andromeda-en",
+    )
 
     llm = AWSBedrockLLMService(
         aws_region=os.getenv("AWS_REGION"),
@@ -83,12 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -72,12 +69,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -11,7 +11,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -82,14 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -75,12 +72,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.azure.tts import AzureHttpTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -81,12 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.azure.tts import AzureTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -81,12 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,9 +10,7 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.audio.vad.vad_analyzer import VADParams
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
@@ -30,8 +28,6 @@ from pipecat.services.openai.tts import OpenAITTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -76,12 +72,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -81,12 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -11,7 +11,6 @@ import time
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.services.openpipe.llm import OpenPipeLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -80,12 +77,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -11,7 +11,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.services.xtts.tts import XTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -78,14 +75,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -31,8 +30,6 @@ from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -84,12 +81,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -71,12 +68,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.groq.tts import GroqTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -73,12 +70,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -8,7 +8,6 @@
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMMessagesAppendFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -27,8 +26,6 @@ from pipecat.services.aws.tts import AWSPollyTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 # Strands agent setup
 try:
@@ -118,12 +115,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext()
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -8,7 +8,6 @@
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -27,8 +26,6 @@ from pipecat.services.aws.tts import AWSPollyTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -77,12 +74,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -25,7 +25,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -44,8 +43,6 @@ from pipecat.services.google.tts import GoogleTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -99,12 +96,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -104,12 +101,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -87,12 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -87,12 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -0,0 +1,179 @@
+#
+# Copyright (c) 2024-2026, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+
+import os
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import LLMRunFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.llm_context import LLMContext
+from pipecat.processors.aggregators.llm_response_universal import (
+    LLMContextAggregatorPair,
+    LLMUserAggregatorParams,
+)
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
+from pipecat.services.assemblyai.models import AssemblyAIConnectionParams
+from pipecat.services.assemblyai.stt import AssemblyAISTTService
+from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
+from pipecat.turns.user_turn_strategies import ExternalUserTurnStrategies
+
+load_dotenv(override=True)
+
+
+# We use lambdas to defer transport parameter creation until the transport
+# type is selected at runtime.
+transport_params = {
+    "daily": lambda: DailyParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+    ),
+    "twilio": lambda: FastAPIWebsocketParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+    ),
+    "webrtc": lambda: TransportParams(
+        audio_in_enabled=True,
+        audio_out_enabled=True,
+    ),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    """AssemblyAI u3-rt-pro with Built-in Turn Detection
+
+    This example demonstrates using AssemblyAI's u3-rt-pro Speech-to-Text model
+    with AssemblyAI's built-in turn detection for more natural conversation flow.
+
+    Key features:
+
+    1. AssemblyAI Turn Detection
+       - Set `vad_force_turn_endpoint=False` to use AssemblyAI's built-in turn detection
+       - AssemblyAI's model determines when user starts/stops speaking
+       - Uses `ExternalUserTurnStrategies` to delegate turn control to AssemblyAI
+       - More natural turn detection based on speech patterns and pauses
+
+    2. Advanced Turn Detection Tuning
+       - `min_turn_silence`: Minimum silence (ms) when confident about end-of-turn.
+         Lower values = faster responses. Default: 100ms
+       - `max_turn_silence`: Maximum silence (ms) before forcing end-of-turn.
+         Prevents long pauses. Default: 1000ms
+
+    3. Prompt-Based Transcription Enhancement
+       - Use `prompt` parameter to improve accuracy for specific names/terms
+       - Particularly useful for proper nouns, technical terms, domain vocabulary
+       - Example: "Names: Xiomara, Saoirse, Krzystof. Technical terms: API, OAuth."
+
+    4. Speaker Diarization (Optional)
+       - Enable with `speaker_labels=True`
+       - Automatically identifies different speakers in multi-party conversations
+       - TranscriptionFrame includes speaker_id field (e.g., "Speaker A", "Speaker B")
+
+    5. Language Detection (Optional, multilingual model only)
+       - Enable with `language_detection=True`
+       - Automatically detects spoken language
+       - Available with universal-streaming-multilingual model
+
+    For more information: https://www.assemblyai.com/docs/speech-to-text/streaming
+    """
+    logger.info(f"Starting bot")
+
+    stt = AssemblyAISTTService(
+        api_key=os.getenv("ASSEMBLYAI_API_KEY"),
+        vad_force_turn_endpoint=False,  # Use AssemblyAI's built-in turn detection
+        connection_params=AssemblyAIConnectionParams(
+            speech_model="u3-rt-pro",
+            # Optional: Tune turn detection timing (defaults shown below)
+            # min_turn_silence=100,  # Default
+            # max_turn_silence=1000,  # Default
+            # Optional: Boost accuracy for specific names/terms
+            # prompt="Names: Xiomara, Saoirse, Krzystof. Technical terms: API, OAuth.",
+            # Optional: Enable speaker diarization
+            # speaker_labels=True,
+        ),
+    )
+
+    tts = CartesiaTTSService(
+        api_key=os.getenv("CARTESIA_API_KEY"),
+        voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
+    )
+
+    llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+
+    messages = [
+        {
+            "role": "system",
+            "content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
+        },
+    ]
+
+    context = LLMContext(messages)
+    user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
+        context,
+        user_params=LLMUserAggregatorParams(
+            user_turn_strategies=ExternalUserTurnStrategies(),
+            vad_analyzer=SileroVADAnalyzer(),
+        ),
+    )
+
+    pipeline = Pipeline(
+        [
+            transport.input(),  # Transport user input
+            stt,  # STT
+            user_aggregator,  # User responses
+            llm,  # LLM
+            tts,  # TTS
+            transport.output(),  # Transport bot output
+            assistant_aggregator,  # Assistant spoken responses
+        ]
+    )
+
+    task = PipelineTask(
+        pipeline,
+        params=PipelineParams(
+            enable_metrics=True,
+            enable_usage_metrics=True,
+        ),
+        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+    )
+
+    @transport.event_handler("on_client_connected")
+    async def on_client_connected(transport, client):
+        logger.info(f"Client connected")
+        # Kick off the conversation.
+        messages.append({"role": "system", "content": "Please introduce yourself to the user."})
+        await task.queue_frames([LLMRunFrame()])
+
+    @transport.event_handler("on_client_disconnected")
+    async def on_client_disconnected(transport, client):
+        logger.info(f"Client disconnected")
+        await task.cancel()
+
+    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+    await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -77,12 +74,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -31,6 +31,8 @@ from pipecat.audio.filters.krisp_viva_filter import KrispVivaFilter
 from pipecat.audio.turn.krisp_viva_turn import KrispVivaTurn
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
+from pipecat.metrics.metrics import TurnMetricsData
+from pipecat.observers.loggers.metrics_log_observer import MetricsLogObserver
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -41,8 +43,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.deepgram.tts import DeepgramTTSService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -54,21 +56,24 @@ load_dotenv(override=True)
 
 # We use lambdas to defer transport parameter creation until the transport
 # type is selected at runtime.
+
+krisp_viva_filter = KrispVivaFilter()
+
 transport_params = {
     "daily": lambda: DailyParams(
         audio_in_enabled=True,
         audio_out_enabled=True,
-        audio_in_filter=KrispVivaFilter(),
+        audio_in_filter=krisp_viva_filter,
     ),
     "twilio": lambda: FastAPIWebsocketParams(
         audio_in_enabled=True,
         audio_out_enabled=True,
-        audio_in_filter=KrispVivaFilter(),
+        audio_in_filter=krisp_viva_filter,
     ),
     "webrtc": lambda: TransportParams(
         audio_in_enabled=True,
         audio_out_enabled=True,
-        audio_in_filter=KrispVivaFilter(),
+        audio_in_filter=krisp_viva_filter,
     ),
 }
 
@@ -78,7 +83,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
 
-    tts = DeepgramTTSService(api_key=os.getenv("DEEPGRAM_API_KEY"), voice="aura-helios-en")
+    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"))
 
@@ -119,6 +126,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             enable_usage_metrics=True,
         ),
         idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+        observers=[MetricsLogObserver(include_metrics={TurnMetricsData})],
     )
 
     @transport.event_handler("on_client_connected")

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

@@ -11,7 +11,6 @@ from dotenv import load_dotenv
 from loguru import logger
 
 from pipecat.audio.filters.krisp_filter import KrispFilter
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -75,12 +72,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -11,7 +11,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.services.rime.tts import RimeHttpTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -80,14 +77,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.rime.tts import RimeTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -59,7 +56,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = RimeTTSService(
         api_key=os.getenv("RIME_API_KEY", ""),
-        voice_id="rex",
+        voice_id="luna",
     )
 
     llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
@@ -74,12 +71,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

examples/foundational/07r-interruptible-nvidia.py

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.nvidia.tts import NvidiaTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -58,7 +55,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     stt = NvidiaSTTService(api_key=os.getenv("NVIDIA_API_KEY"))
 
     llm = NvidiaLLMService(
-        api_key=os.getenv("NVIDIA_API_KEY"), model="meta/llama-3.1-405b-instruct"
+        api_key=os.getenv("NVIDIA_API_KEY"),
+        model="meta/llama-3.3-70b-instruct",
     )
 
     tts = NvidiaTTSService(api_key=os.getenv("NVIDIA_API_KEY"))
@@ -73,12 +71,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -12,7 +12,6 @@ from dotenv import load_dotenv
 from google.genai.types import Content, Part
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import (
     Frame,
@@ -43,8 +42,6 @@ from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -99,7 +96,7 @@ class UserAudioCollector(FrameProcessor):
             self._user_speaking = True
         elif isinstance(frame, UserStoppedSpeakingFrame):
             self._user_speaking = False
-            self._context.add_audio_frames_message(audio_frames=self._audio_frames)
+            await self._context.add_audio_frames_message(audio_frames=self._audio_frames)
             await self._user_context_aggregator.push_frame(LLMRunFrame())
 
         elif isinstance(frame, InputAudioRawFrame):
@@ -246,12 +243,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
     audio_collector = UserAudioCollector(context, user_aggregator)
     pull_transcript_out_of_llm_output = TranscriptExtractor(context)

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -75,12 +72,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -11,7 +11,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -79,14 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -74,12 +71,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

examples/foundational/07w-interruptible-fal.py

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -77,12 +74,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

examples/foundational/07x-interruptible-local.py

@@ -11,7 +11,6 @@ import sys
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -26,8 +25,6 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.local.audio import LocalAudioTransport, LocalAudioTransportParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -62,12 +59,7 @@ async def main():
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

examples/foundational/07y-interruptible-minimax.py

@@ -11,7 +11,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -31,8 +30,6 @@ from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -81,14 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

examples/foundational/07z-interruptible-sarvam-http.py

@@ -11,7 +11,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -31,8 +30,6 @@ from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -83,14 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

examples/foundational/07z-interruptible-sarvam.py

@@ -9,7 +9,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -28,8 +27,6 @@ from pipecat.services.sarvam.tts import SarvamTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -77,12 +74,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -25,12 +24,11 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.soniox.stt import SonioxSTTService
+from pipecat.services.soniox.stt import SonioxInputParams, SonioxSTTService
+from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -55,6 +53,10 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = SonioxSTTService(
         api_key=os.getenv("SONIOX_API_KEY"),
+        params=SonioxInputParams(
+            language_hints=[Language.EN],
+            language_hints_strict=True,
+        ),
     )
 
     tts = CartesiaTTSService(
@@ -74,12 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSTextFrame
 from pipecat.observers.loggers.debug_log_observer import DebugLogObserver, FrameEndpoint
@@ -31,8 +30,6 @@ from pipecat.transports.base_output import BaseOutputTransport
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -79,14 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

examples/foundational/07zb-interruptible-inworld.py

@@ -9,7 +9,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSTextFrame
 from pipecat.observers.loggers.debug_log_observer import DebugLogObserver, FrameEndpoint
@@ -30,8 +29,6 @@ from pipecat.transports.base_output import BaseOutputTransport
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -76,12 +73,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

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

@@ -11,7 +11,6 @@ import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -30,8 +29,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -79,14 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context = LLMContext(messages)
         user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
             context,
-            user_params=LLMUserAggregatorParams(
-                user_turn_strategies=UserTurnStrategies(
-                    stop=[
-                        TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())
-                    ]
-                ),
-                vad_analyzer=SileroVADAnalyzer(),
-            ),
+            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
         )
 
         pipeline = Pipeline(

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

@@ -10,7 +10,6 @@ import os
 from dotenv import load_dotenv
 from loguru import logger
 
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
@@ -29,8 +28,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -75,12 +72,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
     )
 
     pipeline = Pipeline(

examples/foundational/07zd-interruptible-aicoustics.py

@@ -13,7 +13,6 @@ from dotenv import load_dotenv
 from loguru import logger
 
 from pipecat.audio.filters.aic_filter import AICFilter
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.frames.frames import LLMRunFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
@@ -32,8 +31,6 @@ from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
-from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 load_dotenv(override=True)
 
@@ -95,12 +92,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
-            vad_analyzer=aic_vad_analyzer,
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-        ),
+        user_params=LLMUserAggregatorParams(vad_analyzer=aic_vad_analyzer),
     )
 
     # Create audio buffer processor so we can hear the audio fitler results.