Fix copyright

Rename to 57, extract content check into helper method
Use ParallelPipeline for content filter in example 07
2026-03-05 11:17:02 +08:00 · 2026-03-05 11:14:36 +08:00 · 2026-03-05 11:08:56 +08:00 · 2026-03-05 10:41:53 +08:00
743 changed files with 33761 additions and 35624 deletions
--- a/.claude/skills/changelog/SKILL.md
+++ b/.claude/skills/changelog/SKILL.md
@@ -32,20 +32,6 @@ Create changelog files for the important commits in this PR. The PR number is pr

 6. Use ⚠️ emoji prefix for breaking changes.

-7. **Write changes in user-facing terms first.** Lead with what users of the framework will notice: new APIs, changed behavior, new parameters, fixed bugs they might have hit, etc. Implementation details (internal refactoring, how something is wired up under the hood) can be included as secondary context after the user-facing description, but should never be the *only* content of a changelog entry when there is a user-visible effect.
-
-   **Good** (user-facing first, implementation detail as context):
-   ```
-   - Turn completion instructions now persist correctly across full context updates when using `system_instruction`. Previously they were injected as a context system message, which caused warning spam and didn't survive context updates.
-   ```
-
-   **Bad** (implementation detail only, no user-facing framing):
-   ```
-   - Fixed turn completion instructions being injected as a context system message instead of using `system_instruction`.
-   ```
-
-   Ask yourself: "If I'm a developer building on Pipecat, what would I notice changed?" Start there.
-
 ## Example

 For PR #3519 with a new feature and a bug fix:
@@ -57,5 +43,5 @@ For PR #3519 with a new feature and a bug fix:

 `changelog/3519.fixed.md`:
 ```
- Fixed an issue where something was not working correctly in some user-visible scenario. The root cause was an internal implementation detail.
+- Fixed an issue where something was not working correctly.
 ```
--- a/.claude/skills/cleanup/SKILL.md
+++ b/.claude/skills/cleanup/SKILL.md
@@ -144,7 +144,7 @@ class InputParams(BaseModel):

 #### Examples

-Validated against `examples/07-interruptible.py`:
+Validated against `examples/foundational/07-interruptible.py`:

 - Proper `create_transport()` usage
 - Correct pipeline structure
--- a/.github/workflows/python-compatibility.yaml
+++ b/.github/workflows/python-compatibility.yaml
@@ -14,7 +14,7 @@ jobs:
    strategy:
      fail-fast: false
      matrix:
-        python-version: ['3.11.15', '3.12.13', '3.13.12', '3.14.3']
+        python-version: ['3.10.19', '3.11.14', '3.12.12', '3.13.12']

    name: Python ${{ matrix.python-version }}
    steps:
@@ -42,7 +42,7 @@ jobs:

      - name: Test uv sync with all extras
        run: |
-          uv sync --group dev --all-extras
+          uv sync --group dev --all-extras --no-extra krisp

      - name: Verify installation
        run: |
--- a/.github/workflows/sync-quickstart.yaml
+++ b/.github/workflows/sync-quickstart.yaml
@@ -0,0 +1,51 @@
+name: Sync Quickstart to pipecat-quickstart repo
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - 'examples/quickstart/**'
+  workflow_dispatch: # Manual trigger
+
+jobs:
+  sync-quickstart:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main repo
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Checkout quickstart repo
+        uses: actions/checkout@v4
+        with:
+          repository: pipecat-ai/pipecat-quickstart
+          token: ${{ secrets.QUICKSTART_SYNC_TOKEN }}
+          path: quickstart-repo
+
+      - name: Sync files (excluding uv.lock and README.md)
+        run: |
+          # Copy all files except uv.lock and README.md
+          find examples/quickstart -type f \
+            -not -name "README.md" \
+            -not -name "uv.lock" \
+            -exec cp {} quickstart-repo/ \;
+
+      - name: Commit and push changes
+        run: |
+          cd quickstart-repo
+          git config user.name "GitHub Action"
+          git config user.email "action@github.com"
+          git add .
+
+          # Only commit if there are changes
+          if ! git diff --staged --quiet; then
+            git commit -m "Sync from pipecat main repo
+            
+            Updated files from examples/quickstart/
+            Commit: ${{ github.sha }}
+            "
+            git push
+          else
+            echo "No changes to sync"
+          fi
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,13 +1,8 @@
 repos:
-  - repo: local
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.12.1
    hooks:
      - id: ruff
-        name: ruff
-        entry: uv run ruff check --fix
-        language: system
-        types: [python]
+        language_version: python3
+        args: [--fix]
      - id: ruff-format
-        name: ruff-format
-        entry: uv run ruff format
-        language: system
-        types: [python]
--- a/.readthedocs.yaml
+++ b/.readthedocs.yaml
@@ -11,7 +11,7 @@ build:
  jobs:
    post_install:
      - pip install uv
-      - UV_PROJECT_ENVIRONMENT=$READTHEDOCS_VIRTUALENV_PATH uv sync --group docs --all-extras --no-extra gstreamer --no-extra local_smart_turn --no-extra moondream --no-extra riva --no-extra mlx-whisper
+      - UV_PROJECT_ENVIRONMENT=$READTHEDOCS_VIRTUALENV_PATH uv sync --group docs --all-extras --no-extra krisp --no-extra gstreamer --no-extra local_smart_turn --no-extra moondream --no-extra riva --no-extra mlx-whisper

 sphinx:
  configuration: docs/api/conf.py
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -7,883 +7,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

 <!-- towncrier release notes start -->

-## [0.0.108] - 2026-03-27
-
-### Added
-
- Added `SarvamLLMService` with support for `sarvam-30b`, `sarvam-30b-16k`,
-  `sarvam-105b` and `sarvam-105b-32k`.
-  (PR [#3978](https://github.com/pipecat-ai/pipecat/pull/3978))
-
- Added `on_turn_context_created(context_id)` hook to `TTSService`. Override
-  this to perform provider-specific setup (e.g. eagerly opening a server-side
-  context) before text starts flowing. Called each time a new turn context ID
-  is created.
-  (PR [#4013](https://github.com/pipecat-ai/pipecat/pull/4013))
-
- Added `XAIHttpTTSService` for text-to-speech using xAI's HTTP TTS API.
-  (PR [#4031](https://github.com/pipecat-ai/pipecat/pull/4031))
-
- Added support for "developer" role messages in conversation context across
-  all LLM adapters. For non-OpenAI services (Anthropic, Google, AWS Bedrock),
-  "developer" messages are converted to "user" messages (use
-  `system_instruction` to set the system instruction). For OpenAI services,
-  "developer" messages pass through in conversation history. For the Responses
-  API, they are kept as "developer" role (matching the existing "system" →
-  "developer" conversion).
-  (PR [#4089](https://github.com/pipecat-ai/pipecat/pull/4089))
-
- Added `SmallestTTSService`, a WebSocket-based TTS service integration with
-  Smallest AI's Waves API. Supports the Lightning v2 and v3.1 models with
-  configurable voice, language, speed, consistency, similarity, and enhancement
-  settings.
-  (PR [#4092](https://github.com/pipecat-ai/pipecat/pull/4092))
-
- Added warnings in turn stop strategies when `VADParams.stop_secs` differs
-  from the recommended default (0.2s) or when `stop_secs >= STT p99 latency`,
-  which collapses the STT wait timeout to 0s and may cause delayed turn
-  detection. The warnings guide developers to re-run the
-  [stt-benchmark](https://github.com/pipecat-ai/stt-benchmark) with their VAD
-  settings.
-  (PR [#4115](https://github.com/pipecat-ai/pipecat/pull/4115))
-
- Added `domain` parameter to `AssemblyAISTTSettings` for specialized
-  recognition modes such as Medical Mode (`domain="medical-v1"`).
-  (PR [#4117](https://github.com/pipecat-ai/pipecat/pull/4117))
-
- Added `NovitaLLMService` for using Novita AI's LLM models via their
-  OpenAI-compatible API.
-  (PR [#4119](https://github.com/pipecat-ai/pipecat/pull/4119))
-
- Added `cleanup()` method to `VADAnalyzer` and `VADController` so VAD analyzer
-  resources are properly released when no longer needed. Custom `VADAnalyzer`
-  subclasses can override `cleanup()` to free any held resources.
-  (PR [#4120](https://github.com/pipecat-ai/pipecat/pull/4120))
-
- Added `on_end_of_turn` event handler to `AssemblyAISTTService`. This fires
-  after the final transcript is pushed, providing a reliable hook for
-  end-of-turn logic that doesn't race with `TranscriptionFrame`. Works in both
-  Pipecat and AssemblyAI turn detection modes.
-  (PR [#4128](https://github.com/pipecat-ai/pipecat/pull/4128))
-
- Added `DeepgramFluxSageMakerSTTService` for running Deepgram Flux
-  speech-to-text on AWS SageMaker endpoints.  Use with
-  `ExternalUserTurnStrategies` to take advantage of Flux's turn detection.
-  (PR [#4143](https://github.com/pipecat-ai/pipecat/pull/4143))
-
- Added `Mem0MemoryService.get_memories()` convenience method for retrieving
-  all stored memories outside the pipeline (e.g. to build a personalized
-  greeting at connection time). This avoids the need to manually handle client
-  type branching, filter construction, and async wrapping.
-  (PR [#4156](https://github.com/pipecat-ai/pipecat/pull/4156))
-
-### Changed
-
- Added context prewarming path for `InworldTTSService` to improve first audio
-  latency.
-  (PR [#4013](https://github.com/pipecat-ai/pipecat/pull/4013))
-
- Added `KrispVivaVadAnalyzer` for Voice Activity Detection using the Krisp
-  VIVA SDK (requires `krisp_audio`).
-  (PR [#4022](https://github.com/pipecat-ai/pipecat/pull/4022))
-
- Modified `InworldTTSService` to close context at end of turn instead of
-  relying on idle timeout.
-  (PR [#4028](https://github.com/pipecat-ai/pipecat/pull/4028))
-
- Added Gemini 3 support to the Gemini Live service.
-  (PR [#4078](https://github.com/pipecat-ai/pipecat/pull/4078))
-
- `TTSService`: the default `stop_frame_timeout_s` (idle time before an
-  automatic `TTSStoppedFrame` is pushed when `push_stop_frames=True`) has
-  changed from `2.0` to `3.0` seconds.
-  (PR [#4084](https://github.com/pipecat-ai/pipecat/pull/4084))
-
- ⚠️ `GeminiLLMAdapter` now only treats `messages[0]` as the initial system
-  message, matching all other adapters. Previously it searched for the first
-  "system" message anywhere in the conversation history. A "system" message
-  appearing later in the list will now be converted to "user" instead of being
-  extracted as the system instruction.
-  (PR [#4089](https://github.com/pipecat-ai/pipecat/pull/4089))
-
- Fixed `InworldTtsService` to fallback to full text when TTS timestamps are
-  not received.
-  (PR [#4113](https://github.com/pipecat-ai/pipecat/pull/4113))
-
- ⚠️ Realtime services (Gemini Live, OpenAI Realtime, Grok Realtime, Nova
-  Sonic) now prefer `system_instruction` from service settings over an initial
-  system message in the LLM context, matching the behavior of non-realtime
-  services. Previously, context-provided system instructions took precedence. A
-  warning is now logged when both are set.
-  (PR [#4130](https://github.com/pipecat-ai/pipecat/pull/4130))
-
- Bumped `nvidia-riva-client` minimum version to `>=2.25.1`.
-  (PR [#4136](https://github.com/pipecat-ai/pipecat/pull/4136))
-
- Upgraded `protobuf` from 5.x to 6.x (`>=6.31.1,<7`).
-  (PR [#4136](https://github.com/pipecat-ai/pipecat/pull/4136))
-
- Unrecognized language strings (e.g. Deepgram's `"multi"`) no longer produce a
-  warning at startup. The log message has been downgraded to debug level since
-  these are valid service-specific values that are passed through correctly.
-  (PR [#4137](https://github.com/pipecat-ai/pipecat/pull/4137))
-
- `GrokLLMService` and `GrokRealtimeLLMService` now live in the
-  `pipecat.services.xai` module alongside `XAIHttpTTSService`, since all three
-  use the same xAI API. Update imports from `pipecat.services.grok.*` to
-  `pipecat.services.xai.*` (e.g. `from pipecat.services.xai.llm import
-  GrokLLMService`).
-  (PR [#4142](https://github.com/pipecat-ai/pipecat/pull/4142))
-
- ⚠️ Bumped `mem0ai` dependency from `~=0.1.94` to `>=1.0.8,<2`. Users of the
-  `mem0` extra will need to update their mem0ai package.
-  (PR [#4156](https://github.com/pipecat-ai/pipecat/pull/4156))
-
-### Deprecated
-
- `pipecat.services.grok.llm`, `pipecat.services.grok.realtime.llm`, and
-  `pipecat.services.grok.realtime.events` are deprecated. The old import paths
-  still work but emit a `DeprecationWarning`; use `pipecat.services.xai.llm`,
-  `pipecat.services.xai.realtime.llm`, and
-  `pipecat.services.xai.realtime.events` instead.
-  (PR [#4142](https://github.com/pipecat-ai/pipecat/pull/4142))
-
-### Removed
-
- ⚠️ `TTSService.add_word_timestamps()` no longer supports the `"Reset"` and
-  `"TTSStoppedFrame"` sentinel strings. If you have a custom TTS service that
-  called `await self.add_word_timestamps([("Reset", 0)])` or `await
-  self.add_word_timestamps([("TTSStoppedFrame", 0), ("Reset", 0)], ctx_id)`,
-  replace them with `await self.append_to_audio_context(ctx_id,
-  TTSStoppedFrame(context_id=ctx_id))` and let `_handle_audio_context` manage
-  the word-timestamp reset automatically.
-  (PR [#4145](https://github.com/pipecat-ai/pipecat/pull/4145))
-
- Removed `SambaNovaSTTService`. SambaNova no longer offers speech-to-text
-  audio models. Use another STT provider instead.
-  (PR [#4154](https://github.com/pipecat-ai/pipecat/pull/4154))
-
-### Fixed
-
- Fixed Gemini Live (`GoogleGeminiLiveLLMService`) not honoring
-  `settings.system_instruction`. The system instruction was being read from a
-  deprecated constructor parameter instead of the settings object, causing it
-  to be silently ignored.
-  (PR [#4089](https://github.com/pipecat-ai/pipecat/pull/4089))
-
- Fixed `AWSBedrockLLMAdapter` sending an empty message list to the API when
-  the only message in context was a system message. The lone system message is
-  now converted to "user" role instead of being extracted, matching the
-  existing Anthropic adapter behavior.
-  (PR [#4089](https://github.com/pipecat-ai/pipecat/pull/4089))
-
- Fixed Gemini Live pipeline hanging indefinitely when an `EndFrame` was
-  deferred while waiting for the bot to finish responding and `turn_complete`
-  never arrived. As a possible root-cause fix, `turn_complete` messages are now
-  handled even if they lack `usage_metadata`. As a fallback, the deferred
-  `EndFrame` now has a 30-second safety timeout.
-  (PR [#4125](https://github.com/pipecat-ai/pipecat/pull/4125))
-
- Fixed ElevenLabs WebSocket disconnections (1008 "Maximum simultaneous
-  contexts exceeded") caused by rapid user interruptions. When interruptions
-  arrived before any TTS text was generated, phantom contexts were created on
-  the ElevenLabs server that were never closed, eventually exceeding the
-  5-context limit.
-  (PR [#4126](https://github.com/pipecat-ai/pipecat/pull/4126))
-
- Fixed the final sentence being dropped from the conversation context when
-  using RTVI text input with non-word-timestamp TTS services. The
-  `LLMFullResponseEndFrame` was racing ahead of the last `TTSTextFrame`,
-  causing the `LLMAssistantAggregator` to finalize the context before the final
-  sentence arrived.
-  (PR [#4127](https://github.com/pipecat-ai/pipecat/pull/4127))
-
- Fixed audio crackling and popping in recordings when both user and bot are
-  speaking. `AudioBufferProcessor` no longer injects silence into a track's
-  buffer while that track is actively producing audio, preventing mid-utterance
-  interruptions in the recorded output.
-  (PR [#4135](https://github.com/pipecat-ai/pipecat/pull/4135))
-
- Fixed websocket TTS word timestamps so interrupted contexts cannot leak stale
-  words or backward PTS values into later turns.
-  (PR [#4145](https://github.com/pipecat-ai/pipecat/pull/4145))
-
- Fixed a race condition in `InterruptibleTTSService` where, if `run_tts` had
-  been invoked but `BotStartedSpeakingFrame` had not yet been received, a user
-  interruption could allow stale audio to leak through.
-  (PR [#4145](https://github.com/pipecat-ai/pipecat/pull/4145))
-
- Fixed Gemini Live local VAD mode (`GeminiVADParams(disabled=True)` with
-  external VAD) not working. The bot now correctly detects user speech and
-  signals turn boundaries to the Gemini API.
-  (PR [#4146](https://github.com/pipecat-ai/pipecat/pull/4146))
-
- Fixed Gemini Live message handling to process all `server_content` fields
-  independently. Gemini 3.x can bundle multiple fields (e.g. `model_turn` and
-  `output_transcription`) on the same message, but the previous `elif` chain
-  only processed the first match, silently dropping the rest.
-  (PR [#4147](https://github.com/pipecat-ai/pipecat/pull/4147))
-
- Fixed `ServiceSwitcher` with `ServiceSwitcherStrategyFailover` incorrectly
-  triggering failover when `ErrorFrame`s from other pipeline stages (e.g. TTS)
-  propagated upstream through the switcher. Previously, any non-fatal error
-  passing through would be misattributed to the active service and trigger an
-  unwanted service switch. Now only errors originating from the switcher's own
-  managed services trigger failover.
-  (PR [#4149](https://github.com/pipecat-ai/pipecat/pull/4149))
-
- Fixed `LiveKitOutputTransport` not clearing the `rtc.AudioSource` internal
-  buffer on interruption, causing the bot to continue speaking for several
-  seconds after being interrupted.
-  (PR [#4151](https://github.com/pipecat-ai/pipecat/pull/4151))
-
- Fixed a crash in OpenAI LLM processing when the provider returns
-  `chunk.choices[0].delta.audio = None`, which caused `'NoneType' object has no
-  attribute 'get'` errors during audio transcript handling.
-  (PR [#4152](https://github.com/pipecat-ai/pipecat/pull/4152))
-
- Fixed error floods in `DeepgramSTTService` when the WebSocket connection
-  drops. With Deepgram SDK 6.x, `send_media()` raises exceptions on a dead
-  connection instead of silently failing, causing every queued audio frame to
-  log an error. Now `send_media()` failures are caught gracefully — a single
-  warning is logged and audio frames are skipped until the existing
-  reconnection logic restores the connection.
-  (PR [#4153](https://github.com/pipecat-ai/pipecat/pull/4153))
-
- `Mem0MemoryService` no longer blocks the event loop during memory storage and
-  retrieval. All Mem0 API calls now run in a background thread, and message
-  storage is fire-and-forget so it doesn't delay downstream processing.
-  (PR [#4156](https://github.com/pipecat-ai/pipecat/pull/4156))
-
- Fixed `Mem0MemoryService` failing to store messages when the context
-  contained system or developer role messages. The Mem0 API only accepts user
-  and assistant roles, so other roles are now filtered out before storing.
-  (PR [#4156](https://github.com/pipecat-ai/pipecat/pull/4156))
-
- Added missing `on_dtmf_event` callback to `LemonSliceTransportClient.setup()`
-  `DailyCallbacks` construction, fixing a `ValidationError` at pipeline setup
-  time.
-  (PR [#4161](https://github.com/pipecat-ai/pipecat/pull/4161))
-
- Fixed an issue in `InworldTTSService` where, in cases of fast interruption,
-  we would continue receiving audio from the previous context.
-  (PR [#4167](https://github.com/pipecat-ai/pipecat/pull/4167))
-
- Fixed a word timestamp interleaving issue in `InworldTTSService` when
-  processing multiple sentences.
-  (PR [#4167](https://github.com/pipecat-ai/pipecat/pull/4167))
-
- Fixed duplicate `TTSStoppedFrame` being pushed in TTS services using
-  `push_stop_frames=True`. When the stop-frame timeout fired, a second
-  `TTSStoppedFrame` could be pushed after the normal one at context completion.
-  (PR [#4172](https://github.com/pipecat-ai/pipecat/pull/4172))
-
- ⚠️ Fixed `DeepgramSTTService` compatibility with deepgram-sdk 6.1.0. The SDK
-  now requires explicit message objects for `send_keep_alive()`,
-  `send_close_stream()`, and `send_finalize()`. The minimum deepgram-sdk
-  version is now 6.1.0.
-  (PR [#4174](https://github.com/pipecat-ai/pipecat/pull/4174))
-
- Fixed RTVI events not being delivered to clients when using WebSocket
-  transports. `ProtobufFrameSerializer` now sets `ignore_rtvi_messages=False`
-  by default.
-  (PR [#4176](https://github.com/pipecat-ai/pipecat/pull/4176))
-
- Fixed a timing issue where turn detection timer tasks (idle controller,
-  speech timeout, turn analyzer, and turn completion) could miss their first
-  tick because the newly created asyncio task was not yet scheduled when the
-  caller continued.
-  (PR [#4183](https://github.com/pipecat-ai/pipecat/pull/4183))
-
- Fixed `FastAPIWebsocketTransport` intermittently hanging on shutdown when the
-  remote side (e.g. Twilio) disconnects while audio is being sent. A race
-  condition between the send and receive paths could cause the
-  `on_client_disconnected` callback to be skipped, leaving the pipeline waiting
-  for a disconnect signal that never came.
-  (PR [#4186](https://github.com/pipecat-ai/pipecat/pull/4186))
-
-### Performance
-
- `RimeTTSService` now handles Rime's `done` WebSocket message to complete
-  audio contexts immediately, eliminating the 3-second idle timeout that
-  previously added latency at the end of each utterance.
-  (PR [#4172](https://github.com/pipecat-ai/pipecat/pull/4172))
-
-## [0.0.107] - 2026-03-23
-
-### Added
-
- Added `frame_order` parameter to `SyncParallelPipeline`. Set
-  `frame_order=FrameOrder.PIPELINE` to push synchronized output frames in
-  pipeline definition order (all frames from the first pipeline, then the
-  second, etc.) instead of the default arrival order.
-  (PR [#4029](https://github.com/pipecat-ai/pipecat/pull/4029))
-
- Added `sync_with_audio` field to `OutputImageRawFrame`. When set to `True`,
-  the output transport queues image frames with audio so they are displayed
-  only after all preceding audio has been sent, enabling synchronized
-  audio/image playback.
-  (PR [#4029](https://github.com/pipecat-ai/pipecat/pull/4029))
-
- Added `OpenAIResponsesLLMService`, a new LLM service that uses the OpenAI
-  Responses API. Supports streaming text, function calling, usage metrics, and
-  out-of-band inference. Works with the universal `LLMContext` and
-  `LLMContextAggregatorPair`. See
-  `examples/foundational/07-interruptible-openai-responses.py` and
-  `14-function-calling-openai-responses.py`.
-  (PR [#4074](https://github.com/pipecat-ai/pipecat/pull/4074))
-
- Added `audio_out_auto_silence` parameter to `TransportParams` (defaults to
-  `True`). When set to `False`, the transport waits for audio data instead of
-  inserting silence when the output queue is empty, which is useful for
-  scenarios that require uninterrupted audio playback without artificial gaps.
-  (PR [#4104](https://github.com/pipecat-ai/pipecat/pull/4104))
-
-### Changed
-
- Renamed tracing span attributes to align with OpenTelemetry GenAI semantic
-  conventions: `gen_ai.system` to `gen_ai.provider.name`, `system` to
-  `gen_ai.system_instructions`, `gen_ai.usage.cache_read_input_tokens` to
-  `gen_ai.usage.cache_read.input_tokens`, and
-  `gen_ai.usage.cache_creation_input_tokens` to
-  `gen_ai.usage.cache_creation.input_tokens`.
-  (PR [#3449](https://github.com/pipecat-ai/pipecat/pull/3449))
-
- `DeepgramSageMakerTTSService` now correctly routes audio through the base
-  `TTSService` audio context queue. Audio frames are delivered via
-  `append_to_audio_context()` instead of being pushed directly, enabling proper
-  ordering, interruption handling, and start/stop frame lifecycle management.
-  Interruptions now trigger a `Clear` message to Deepgram (flushing its text
-  buffer) at the right time via `on_audio_context_interrupted`.
-  (PR [#4083](https://github.com/pipecat-ai/pipecat/pull/4083))
-
- `GradiumTTSService` now sends a per-context `setup` message with
-  `client_req_id` before the first text message for each TTS context, following
-  Gradium's multiplexing protocol. Previously, a single setup message was sent
-  at connection time without a `client_req_id`, which prevented Gradium from
-  associating requests with their sessions when using `close_ws_on_eos=False`.
-  (PR [#4091](https://github.com/pipecat-ai/pipecat/pull/4091))
-
-### Fixed
-
- Fixed stale `system_instruction` in LLM tracing spans by reading from
-  `_settings.system_instruction` instead of the removed `_system_instruction`
-  attribute.
-  (PR [#3449](https://github.com/pipecat-ai/pipecat/pull/3449))
-
- Fixed `SyncParallelPipeline` breaking the Whisker debugger.
-  (PR [#4029](https://github.com/pipecat-ai/pipecat/pull/4029))
-
- Fixed `SyncParallelPipeline` race condition where concurrent SystemFrame
-  processing (e.g. from RTVI) could corrupt sink queues and cause deadlocks.
-  SystemFrames now take a fast path that passes them through without draining
-  queued output.
-  (PR [#4029](https://github.com/pipecat-ai/pipecat/pull/4029))
-
- Fixed TTS frame ordering so that non-system frames always arrive in correct
-  order relative to the `TTSStartedFrame`/`TTSAudioRawFrame`/`TTSStoppedFrame`
-  sequence. Previously these frames could race ahead of or behind audio context
-  frames, producing out-of-order output downstream.
-  (PR [#4075](https://github.com/pipecat-ai/pipecat/pull/4075))
-
- Fixed `SarvamTTSService` audio and error frames now route through
-  `append_to_audio_context()` instead of `push_frame()`, ensuring correct
-  behavior with audio contexts and interruptions.
-  (PR [#4082](https://github.com/pipecat-ai/pipecat/pull/4082))
-
- Fixed audio frame ordering and interruption handling in Fish Audio, LMNT,
-  Neuphonic, and Rime NonJson TTS services. These services were bypassing the
-  base `TTSService` audio context serialization queue by pushing audio frames
-  directly, which could cause out-of-order frames and broken interruptions
-  during speech.
-  (PR [#4090](https://github.com/pipecat-ai/pipecat/pull/4090))
-
- Fixed Genesys AudioHook serializer to always include the `parameters` field in
-  protocol messages. The AudioHook protocol requires every message to carry a
-  `parameters` object (even if empty), but `_create_message` omitted it when no
-  parameters were provided. This caused clients that validate message structure
-  (including the Genesys reference implementation) to reject `pong` and
-  parameter-less `closed` responses, breaking server sequence tracking and
-  preventing `outputVariables` from reaching the Architect flow.
-  (PR [#4093](https://github.com/pipecat-ai/pipecat/pull/4093))
-
-## [0.0.106] - 2026-03-18
-
-### Added
-
- Added optional `service` field to `ServiceUpdateSettingsFrame` (and its
-  subclasses `LLMUpdateSettingsFrame`, `TTSUpdateSettingsFrame`,
-  `STTUpdateSettingsFrame`) to target a specific service instance. When
-  `service` is set, only the matching service applies the settings; others
-  forward the frame unchanged. This enables updating a single service when
-  multiple services of the same type exist in the pipeline.
-  (PR [#4004](https://github.com/pipecat-ai/pipecat/pull/4004))
-
- Added `sip_provider` and `room_geo` parameters to `configure()` in the Daily
-  runner. These convenience parameters let callers specify a SIP provider name
-  and geographic region directly without manually constructing
-  `DailyRoomProperties` and `DailyRoomSipParams`.
-  (PR [#4005](https://github.com/pipecat-ai/pipecat/pull/4005))
-
- Added `PerplexityLLMAdapter` that automatically transforms conversation
-  messages to satisfy Perplexity's stricter API constraints (strict role
-  alternation, no non-initial system messages, last message must be user/tool).
-  Previously, certain conversation histories could cause Perplexity API errors
-  that didn't occur with OpenAI (`PerplexityLLMService` subclasses
-  `OpenAILLMService` since Perplexity uses an OpenAI-compatible API).
-  (PR [#4009](https://github.com/pipecat-ai/pipecat/pull/4009))
-
- Added DTMF input event support to the Daily transport. Incoming DTMF tones
-  are now received via Daily's `on_dtmf_event` callback and pushed into the
-  pipeline as `InputDTMFFrame`, enabling bots to react to keypad presses from
-  phone callers.
-  (PR [#4047](https://github.com/pipecat-ai/pipecat/pull/4047))
-
- Added `WakePhraseUserTurnStartStrategy` for triggering user turns based on
-  wake phrases, with support for `single_activation` mode. Deprecates
-  `WakeCheckFilter`.
-  (PR [#4064](https://github.com/pipecat-ai/pipecat/pull/4064))
-
- Added `default_user_turn_start_strategies()` and
-  `default_user_turn_stop_strategies()` helper functions for composing custom
-  strategy lists.
-  (PR [#4064](https://github.com/pipecat-ai/pipecat/pull/4064))
-
-### Changed
-
- Changed tool result JSON serialization to use `ensure_ascii=False`,
-  preserving UTF-8 characters instead of escaping them. This reduces context
-  size and token usage for non-English languages.
-  (PR [#3457](https://github.com/pipecat-ai/pipecat/pull/3457))
-
- `OpenAIRealtimeSTTService`'s `noise_reduction` parameter is now part of
-  `OpenAIRealtimeSTTSettings`, making it runtime-updatable via
-  `STTUpdateSettingsFrame`. The direct `noise_reduction` init argument is
-  deprecated as of 0.0.106.
-  (PR [#3991](https://github.com/pipecat-ai/pipecat/pull/3991))
-
- Updated `sarvamai` dependency from `0.1.26a2` (alpha) to `0.1.26` (stable
-  release).
-  (PR [#3997](https://github.com/pipecat-ai/pipecat/pull/3997))
-
- `SimliVideoService` now extends `AIService` instead of `FrameProcessor`,
-  aligning it with the HeyGen and Tavus video services. It supports
-  `SimliVideoService.Settings(...)` for configuration and uses
-  `start()`/`stop()`/`cancel()` lifecycle methods. Existing constructor usage
-  (`api_key`, `face_id`, etc.) remains unchanged.
-  (PR [#4001](https://github.com/pipecat-ai/pipecat/pull/4001))
-
- Update `pipecat-ai-small-webrtc-prebuilt` to `2.4.0`.
-  (PR [#4023](https://github.com/pipecat-ai/pipecat/pull/4023))
-
- Nova Sonic assistant text transcripts are now delivered in real-time using
-  speculative text events instead of delayed final text events. Previously,
-  assistant text only arrived after all audio had finished playing, causing
-  laggy transcripts in client UIs. Speculative text arrives before each audio
-  chunk, providing text synchronized with what the bot is saying. This also
-  simplifies the internal text handling by removing the interruption re-push
-  hack and assistant text buffer.
-  (PR [#4042](https://github.com/pipecat-ai/pipecat/pull/4042))
-
- Updated `daily-python` dependency to 0.25.0.
-  (PR [#4047](https://github.com/pipecat-ai/pipecat/pull/4047))
-
- Added `enable_dialout` parameter to `configure()` in `pipecat.runner.daily`
-  to support dial-out rooms. Also narrowed misleading `Optional` type hints and
-  deduplicated token expiry calculation.
-  (PR [#4048](https://github.com/pipecat-ai/pipecat/pull/4048))
-
- Extended `ProcessFrameResult` to stop strategies, allowing a stop strategy to
-  short-circuit evaluation of subsequent strategies by returning `STOP`.
-  (PR [#4064](https://github.com/pipecat-ai/pipecat/pull/4064))
-
- `GradiumSTTService` now takes both an `encoding` and `sample_rate`
-  constructor argument which is assmebled in the class to form the
-  `input_format`. PCM accepts `8000`, `16000`, and `24000` Hz sample rates.
-  (PR [#4066](https://github.com/pipecat-ai/pipecat/pull/4066))
-
- Improved `GradiumSTTService` transcription accuracy by reworking how text
-  fragments are accumulated and finalized. Previously, trailing words could be
-  dropped when the server's `flushed` response arrived before all text tokens
-  were delivered. The service now uses a short aggregation delay after flush to
-  capture trailing tokens, producing complete utterances.
-  (PR [#4066](https://github.com/pipecat-ai/pipecat/pull/4066))
-
-### Deprecated
-
- `SimliVideoService.InputParams` is deprecated. Use the direct constructor
-  parameters `max_session_length`, `max_idle_time`, and `enable_logging`
-  instead.
-  (PR [#4001](https://github.com/pipecat-ai/pipecat/pull/4001))
-
- Deprecated `LocalSmartTurnAnalyzerV2` and `LocalCoreMLSmartTurnAnalyzer`. Use
-  `LocalSmartTurnAnalyzerV3` instead. Instantiating these analyzers will now
-  emit a `DeprecationWarning`.
-  (PR [#4012](https://github.com/pipecat-ai/pipecat/pull/4012))
-
- Deprecated `WakeCheckFilter` in favor of `WakePhraseUserTurnStartStrategy`.
-  (PR [#4064](https://github.com/pipecat-ai/pipecat/pull/4064))
-
-### Fixed
-
- Fixed an issue where the default model for `OpenAILLMService` and
-  `AzureLLMService` was mistakenly reverted to `gpt-4o`. The defaults are now
-  restored to `gpt-4.1`.
-  (PR [#4000](https://github.com/pipecat-ai/pipecat/pull/4000))
-
- Fixed a race condition where `EndTaskFrame` could cause the pipeline to shut
-  down before in-flight frames (e.g. LLM function call responses) finished
-  processing. `EndTaskFrame` and `StopTaskFrame` now flow through the pipeline
-  as `ControlFrame`s, ensuring all pending work is flushed before shutdown
-  begins. `CancelTaskFrame` and `InterruptionTaskFrame` remain immediate
-  (`SystemFrame`).
-  (PR [#4006](https://github.com/pipecat-ai/pipecat/pull/4006))
-
- Fixed `ParallelPipeline` dropping or misordering frames during lifecycle
-  synchronization. Buffered frames are now flushed in the correct order
-  relative to synchronization frames (`StartFrame` goes first,
-  `EndFrame`/`CancelFrame` go after), and frames added to the buffer during
-  flush are also drained.
-  (PR [#4007](https://github.com/pipecat-ai/pipecat/pull/4007))
-
- Fixed `TTSService` potentially canceling in-flight audio during shutdown. The
-  stop sequence now waits for all queued audio contexts to finish processing
-  before canceling the stop frame task.
-  (PR [#4007](https://github.com/pipecat-ai/pipecat/pull/4007))
-
- Fixed `Language` enum values (e.g. `Language.ES`) not being converted to
-  service-specific codes when passed via
-  `settings=Service.Settings(language=Language.ES)` at init time. This caused
-  API errors (e.g. 400 from Rime) because the raw enum was sent instead of the
-  expected language code (e.g. `"spa"`). Runtime updates via
-  `UpdateSettingsFrame` were unaffected. The fix centralizes conversion in the
-  base `TTSService` and `STTService` classes so all services handle this
-  consistently.
-  (PR [#4024](https://github.com/pipecat-ai/pipecat/pull/4024))
-
- Fixed `DeepgramSTTService` ignoring the `base_url` scheme when using `ws://`
-  or `http://`. Previously these were silently overwritten with `wss://` /
-  `https://`, breaking air-gapped or private deployments that don't use TLS.
-  All scheme choices (`wss://`, `https://`, `ws://`, `http://`, or bare
-  hostname) are now respected.
-  (PR [#4026](https://github.com/pipecat-ai/pipecat/pull/4026))
-
- Fixed `LLMSwitcher.register_function()` and `register_direct_function()` not
-  accepting or forwarding the `timeout_secs` parameter.
-  (PR [#4037](https://github.com/pipecat-ai/pipecat/pull/4037))
-
- Fixed empty user transcriptions in Nova Sonic causing spurious interruptions.
-  Previously, an empty transcription could trigger an interruption of the
-  assistant's response even though the user hadn't actually spoken.
-  (PR [#4042](https://github.com/pipecat-ai/pipecat/pull/4042))
-
- Fixed `SonioxSTTService` and `OpenAIRealtimeSTTService` crash when language
-  parameters contain plain strings instead of `Language` enum values.
-  (PR [#4046](https://github.com/pipecat-ai/pipecat/pull/4046))
-
- Fixed premature user turn stops caused by late transcriptions arriving
-  between turns. A stale transcript from the previous turn could persist into
-  the next turn and trigger a stop before the current turn's real transcript
-  arrived. Stop strategies are now reset at both turn start and turn stop to
-  prevent state from leaking across turn boundaries.
-  (PR [#4057](https://github.com/pipecat-ai/pipecat/pull/4057))
-
- Fixed raw language strings like `"de-DE"` silently failing when passed to
-  TTS/STT services (e.g. ElevenLabs producing no audio). Raw strings now go
-  through the same `Language` enum resolution as enum values, so regional codes
-  like `"de-DE"` are properly converted to service-expected formats like
-  `"de"`. Unrecognized strings log a warning instead of failing silently.
-  (PR [#4058](https://github.com/pipecat-ai/pipecat/pull/4058))
-
- Fixed Deepgram STT list-type settings (`keyterm`, `keywords`, `search`,
-  `redact`, `replace`) being stringified instead of passed as lists to the SDK,
-  which caused them to be sent as literal strings (e.g. `"['pipecat']"`) in the
-  WebSocket query params.
-  (PR [#4063](https://github.com/pipecat-ai/pipecat/pull/4063))
-
- Fixed `MinWordsUserTurnStartStrategy` including text below the word threshold
-  in the output by resetting aggregation when the minimum word count is not
-  met.
-  (PR [#4064](https://github.com/pipecat-ai/pipecat/pull/4064))
-
- Fixed audio overlap and potential dropped TTS content when multiple assistant
-  turns occur in quick succession. `TTSService` now flushes remaining text
-  before pausing frame processing on `LLMFullResponseEndFrame`/`EndFrame`,
-  instead of pausing first.
-  (PR [#4071](https://github.com/pipecat-ai/pipecat/pull/4071))
-
-### Security
-
- Bumped PyJWT minimum version from 2.10.1 to 2.12.0 in the `livekit` extra to
-  address CVE-2026-32597 (GHSA-752w-5fwx-jx9f), where PyJWT <= 2.11.0 accepted
-  unknown `crit` header extensions.
-  (PR [#4035](https://github.com/pipecat-ai/pipecat/pull/4035))
-
-## [0.0.105] - 2026-03-10
-
-### Added
-
- Added concurrent audio context support: `CartesiaTTSService` can now
-  synthesize the next sentence while the previous one is still playing, by
-  setting `pause_frame_processing=False` and routing each sentence through its
-  own audio context queue.
-  (PR [#3804](https://github.com/pipecat-ai/pipecat/pull/3804))
-
- Added custom video track support to Daily transport. Use
-  `video_out_destinations` in `DailyParams` to publish multiple video tracks
-  simultaneously, mirroring the existing `audio_out_destinations` feature.
-  (PR [#3831](https://github.com/pipecat-ai/pipecat/pull/3831))
-
- Added `ServiceSwitcherStrategyFailover` that automatically switches to the
-  next service when the active service reports a non-fatal error. Recovery
-  policies can be implemented via the `on_service_switched` event handler.
-  (PR [#3861](https://github.com/pipecat-ai/pipecat/pull/3861))
-
- Added optional `timeout_secs` parameter to `register_function()` and
-  `register_direct_function()` for per-tool function call timeout control,
-  overriding the global `function_call_timeout_secs` default.
-  (PR [#3915](https://github.com/pipecat-ai/pipecat/pull/3915))
-
- Added `cloud-audio-only` recording option to Daily transport's
-  `enable_recording` property.
-  (PR [#3916](https://github.com/pipecat-ai/pipecat/pull/3916))
-
- Wired up `system_instruction` in `BaseOpenAILLMService`,
-  `AnthropicLLMService`, and `AWSBedrockLLMService` so it works as a default
-  system prompt, matching the behavior of the Google services. This enables
-  sharing a single `LLMContext` across multiple LLM services, where each
-  service provides its own system instruction independently.
-
-    ```python
-    llm = OpenAILLMService(
-        api_key=os.getenv("OPENAI_API_KEY"),
-        system_instruction="You are a helpful assistant.",
-    )
-
-    context = LLMContext()
-
-    @transport.event_handler("on_client_connected")
-    async def on_client_connected(transport, client):
-        context.add_message({"role": "user", "content": "Please introduce yourself."})
-        await task.queue_frames([LLMRunFrame()])
-    ```
-  (PR [#3918](https://github.com/pipecat-ai/pipecat/pull/3918))
-
- Added `vad_threshold` parameter to `AssemblyAIConnectionParams` for
-  configuring voice activity detection sensitivity in U3 Pro. Aligning this
-  with external VAD thresholds (e.g., Silero VAD) prevents the "dead zone"
-  where AssemblyAI transcribes speech that VAD hasn't detected yet.
-  (PR [#3927](https://github.com/pipecat-ai/pipecat/pull/3927))
-
- Added `push_empty_transcripts` parameter to `BaseWhisperSTTService` and
-  `OpenAISTTService` to allow empty transcripts to be pushed downstream as
-  `TranscriptionFrame` instead of discarding them (the default behavior). This
-  is intended for situations where VAD fires even though the user did not
-  speak. In these cases, it is useful to know that nothing was transcribed so
-  that the agent can resume speaking, instead of waiting longer for a
-  transcription.
-  (PR [#3930](https://github.com/pipecat-ai/pipecat/pull/3930))
-
- LLM services (`BaseOpenAILLMService`, `AnthropicLLMService`,
-  `AWSBedrockLLMService`) now log a warning when both `system_instruction` and
-  a system message in the context are set. The constructor's
-  `system_instruction` takes precedence.
-  (PR [#3932](https://github.com/pipecat-ai/pipecat/pull/3932))
-
- Runtime settings updates (via `STTUpdateSettingsFrame`) now work for AWS
-  Transcribe, Azure, Cartesia, Deepgram, ElevenLabs Realtime, Gradium, and
-  Soniox STT services. Previously, changing settings at runtime only stored the
-  new values without reconnecting.
-  (PR [#3946](https://github.com/pipecat-ai/pipecat/pull/3946))
-
- Exposed `on_summary_applied` event on `LLMAssistantAggregator`, allowing
-  users to listen for context summarization events without accessing private
-  members.
-  (PR [#3947](https://github.com/pipecat-ai/pipecat/pull/3947))
-
- Deepgram Flux STT settings (`keyterm`, `eot_threshold`,
-  `eager_eot_threshold`, `eot_timeout_ms`) can now be updated mid-stream via
-  `STTUpdateSettingsFrame` without triggering a reconnect. The new values are
-  sent to Deepgram as a Configure WebSocket message on the existing connection.
-  (PR [#3953](https://github.com/pipecat-ai/pipecat/pull/3953))
-
- Added `system_instruction` parameter to `run_inference` across all LLM
-  services, allowing callers to override the system prompt for one-shot
-  inference calls. Used by `_generate_summary` to pass the summarization prompt
-  cleanly.
-  (PR [#3968](https://github.com/pipecat-ai/pipecat/pull/3968))
-
-### Changed
-
- Audio context management (previously in `AudioContextTTSService`) is now
-  built into `TTSService`. All WebSocket providers (`cartesia`, `elevenlabs`,
-  `asyncai`, `inworld`, `rime`, `gradium`, `resembleai`) now inherit from
-  `WebsocketTTSService` directly. Word-timestamp baseline is set automatically
-  on the first audio chunk of each context instead of requiring each provider
-  to call `start_word_timestamps()` in their receive loop.
-  (PR [#3804](https://github.com/pipecat-ai/pipecat/pull/3804))
-
- Daily transport now uses `CustomVideoSource`/`CustomVideoTrack` instead of
-  `VirtualCameraDevice` for the default camera output, mirroring how audio
-  already works with `CustomAudioSource`/`CustomAudioTrack`.
-  (PR [#3831](https://github.com/pipecat-ai/pipecat/pull/3831))
-
- ⚠️ Updated `DeepgramSTTService` to use `deepgram-sdk` v6. The `LiveOptions`
-  class was removed from the SDK and is now provided by pipecat directly;
-  import it from `pipecat.services.deepgram.stt` instead of `deepgram`.
-  (PR [#3848](https://github.com/pipecat-ai/pipecat/pull/3848))
-
- `ServiceSwitcherStrategy` base class now provides a `handle_error()` hook for
-  subclasses to implement error-based switching. `ServiceSwitcher` defaults to
-  `ServiceSwitcherStrategyManual` and `strategy_type` is now optional.
-  (PR [#3861](https://github.com/pipecat-ai/pipecat/pull/3861))
-
- Support for Voice Focus 2.0 models.
-    - Updated `aic-sdk` to `~=2.1.0` to support Voice Focus 2.0 models.
-    - Cleaned unused `ParameterFixedError` exception handling in `AICFilter`
-      parameter setup.
-  (PR [#3889](https://github.com/pipecat-ai/pipecat/pull/3889))
-
- `max_context_tokens` and `max_unsummarized_messages` in
-  `LLMAutoContextSummarizationConfig` (and deprecated
-  `LLMContextSummarizationConfig`) can now be set to `None` independently to
-  disable that summarization threshold. At least one must remain set.
-  (PR [#3914](https://github.com/pipecat-ai/pipecat/pull/3914))
-
- ⚠️ Removed `formatted_finals` and `word_finalization_max_wait_time` from
-  `AssemblyAIConnectionParams` as these were v2 API parameters not supported in
-  v3. Clarified that `format_turns` only applies to Universal-Streaming models;
-  U3 Pro has automatic formatting built-in.
-  (PR [#3927](https://github.com/pipecat-ai/pipecat/pull/3927))
-
- Changed `DeepgramTTSService` to send a Clear message on interruption instead
-  of disconnecting and reconnecting the WebSocket, allowing the connection to
-  persist throughout the session.
-  (PR [#3958](https://github.com/pipecat-ai/pipecat/pull/3958))
-
- Re-added `enhancement_level` support to `AICFilter` with runtime
-  `FilterEnableFrame` control, applying `ProcessorParameter.Bypass` and
-  `ProcessorParameter.EnhancementLevel` together.
-  (PR [#3961](https://github.com/pipecat-ai/pipecat/pull/3961))
-
- Updated `daily-python` dependency from `~=0.23.0` to `~=0.24.0`.
-  (PR [#3970](https://github.com/pipecat-ai/pipecat/pull/3970))
-
- Updated `FishAudioTTSService` default model from `s1` to `s2-pro`, matching
-  Fish Audio's latest recommended model for improved quality and speed.
-  (PR [#3973](https://github.com/pipecat-ai/pipecat/pull/3973))
-
- `AzureSTTService` `region` parameter is now optional when `private_endpoint`
-  is provided. A `ValueError` is raised if neither is given, and a warning is
-  logged if both are provided (`private_endpoint` takes priority).
-  (PR [#3974](https://github.com/pipecat-ai/pipecat/pull/3974))
-
-### Deprecated
-
- Deprecated `AudioContextTTSService` and `AudioContextWordTTSService`.
-  Subclass `WebsocketTTSService` directly instead; audio context management is
-  now part of the base `TTSService`.
-  - Deprecated `WordTTSService`, `WebsocketWordTTSService`, and
-    `InterruptibleWordTTSService`. Word timestamp logic is now always active in
-    `TTSService` and no longer needs to be opted into via a subclass.
-  (PR [#3804](https://github.com/pipecat-ai/pipecat/pull/3804))
-
- Deprecated `pipecat.services.google.llm_vertex`,
-  `pipecat.services.google.llm_openai`, and
-  `pipecat.services.google.gemini_live.llm_vertex` modules. Use
-  `pipecat.services.google.vertex.llm`, `pipecat.services.google.openai.llm`,
-  and `pipecat.services.google.gemini_live.vertex.llm` instead. The old import
-  paths still work but will emit a `DeprecationWarning`.
-  (PR [#3980](https://github.com/pipecat-ai/pipecat/pull/3980))
-
-### Removed
-
- ⚠️ Removed `supports_word_timestamps` parameter from `TTSService.__init__()`.
-  Word timestamp logic is now always active. Remove this argument from any
-  custom subclass `super().__init__()` calls.
-  (PR [#3804](https://github.com/pipecat-ai/pipecat/pull/3804))
-
-### Fixed
-
- Fixed `DeepgramSTTService` keepalive ping timeout disconnections. The
-  deepgram-sdk v6 removed automatic keepalive; pipecat now sends explicit
-  `KeepAlive` messages every 5 seconds, within the recommended 3–5 second
-  interval before Deepgram's 10-second inactivity timeout.
-  (PR [#3848](https://github.com/pipecat-ai/pipecat/pull/3848))
-
- Fixed `BufferError: Existing exports of data: object cannot be re-sized` in
-  `AICFilter` caused by holding a `memoryview` on the mutable audio buffer
-  across async yield points.
-  (PR [#3889](https://github.com/pipecat-ai/pipecat/pull/3889))
-
- Fixed TTS context not being appended to the assistant message history when
-  using `TTSSpeakFrame` with `append_to_context=True` with some TTS providers.
-  (PR [#3936](https://github.com/pipecat-ai/pipecat/pull/3936))
-
- Fixed context summarization leaving orphaned tool responses in the kept
-  context when tool calls were moved to the summarized portion.
-  (PR [#3937](https://github.com/pipecat-ai/pipecat/pull/3937))
-
- Fixed turn completion state not resetting at end of LLM responses.
-  `LLMFullResponseEndFrame` is pushed (not received) by the LLM service, so the
-  mixin now handles it in `push_frame` instead of `process_frame`.
-  (PR [#3956](https://github.com/pipecat-ai/pipecat/pull/3956))
-
- Fixed turn completion instructions being injected as a context system message
-  instead of using `system_instruction`. This caused warning spam when
-  `system_instruction` was also set and didn't persist across full context
-  updates.
-  (PR [#3957](https://github.com/pipecat-ai/pipecat/pull/3957))
-
- Fixed `TTSService` audio context queue getting blocked when
-  `append_to_audio_context()` was called with a `None` context ID, which
-  prevented subsequent audio from being delivered.
-  (PR [#3958](https://github.com/pipecat-ai/pipecat/pull/3958))
-
- Fixed `on_call_state_updated` event handler in LiveKit transport receiving
-  incorrect number of arguments due to redundant `self` passed to
-  `_call_event_handler`.
-  (PR [#3959](https://github.com/pipecat-ai/pipecat/pull/3959))
-
- Fixed OpenAI Realtime, OpenAI Realtime Beta, and Grok realtime services
-  treating `conversation_already_has_active_response` as a fatal error. These
-  services now log it as a non-fatal debug event when a response is already in
-  progress.
-  (PR [#3960](https://github.com/pipecat-ai/pipecat/pull/3960))
-
- Fixed `SmallWebRTCConnection` silently discarding messages sent before the
-  data channel is open by queuing them and flushing once the channel is ready.
-  A bounded queue (`MAX_MESSAGE_QUEUE_SIZE = 50`) prevents unbounded memory
-  growth, and a 10-second timeout after connection clears the queue and falls
-  back to discard mode if the data channel never opens.
-  (PR [#3962](https://github.com/pipecat-ai/pipecat/pull/3962))
-
- Fixed `AzureSTTService` failing to initialize when `private_endpoint` is
-  provided. The Azure Speech SDK's `SpeechConfig` does not accept both `region`
-  and `endpoint` simultaneously, so they are now passed conditionally.
-  (PR [#3967](https://github.com/pipecat-ai/pipecat/pull/3967))
-
- Fixed `GoogleLLMService` ignoring the `system_instruction` set via
-  constructor or `GoogleLLMSettings` when a system message was also present in
-  the context. The settings value now correctly takes priority, and a warning
-  is logged when both are set.
-  (PR [#3976](https://github.com/pipecat-ai/pipecat/pull/3976))
-
-### Other
-
- Updated foundational examples to use `system_instruction` on LLM services
-  instead of adding system messages to `LLMContext`.
-  (PR [#3918](https://github.com/pipecat-ai/pipecat/pull/3918))
-
- Updated AssemblyAI turn detection example to use `keyterms_prompt` list
-  format instead of `prompt` string for improved clarity.
-  (PR [#3929](https://github.com/pipecat-ai/pipecat/pull/3929))
-
- Updated foundational examples and eval scripts to use `"user"` role instead
-  of `"system"` when adding messages to `LLMContext`, since system prompts
-  should be set via `system_instruction` on the LLM service.
-  (PR [#3931](https://github.com/pipecat-ai/pipecat/pull/3931))
-
 ## [0.0.104] - 2026-03-02

 ### Added
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -10,7 +10,7 @@ Pipecat is an open-source Python framework for building real-time voice and mult

 ```bash
 # Setup development environment
-uv sync --group dev --all-extras --no-extra gstreamer
+uv sync --group dev --all-extras --no-extra gstreamer --no-extra krisp

 # Install pre-commit hooks
 uv run pre-commit install
--- a/COMMUNITY_INTEGRATIONS.md
+++ b/COMMUNITY_INTEGRATIONS.md
@@ -23,7 +23,7 @@ Create your integration following the patterns and examples shown in the "Integr
 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 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
@@ -65,25 +65,12 @@ Once your PR is submitted, post in the `#community-integrations` Discord channel

 #### Websocket-based Services

-**Base class:** `WebsocketSTTService`
-
-**Use for:** Services where you manage the websocket connection directly. Combines `STTService` with `WebsocketService` for automatic reconnection and keepalive support.
-
-**Examples:**
-
- [CartesiaSTTService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/cartesia/stt.py)
- [ElevenLabsRealtimeSTTService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/elevenlabs/stt.py)
-
-#### SDK-based Streaming Services
-
 **Base class:** `STTService`

-**Use for:** Streaming services where the provider's Python SDK manages the connection internally.
-
 **Examples:**

 - [DeepgramSTTService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/deepgram/stt.py)
- [GoogleSTTService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/google/stt.py)
+- [SpeechmaticsSTTService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/speechmatics/stt.py)

 #### File-based Services

@@ -121,59 +108,55 @@ Once your PR is submitted, post in the `#community-integrations` Discord channel

 #### Key requirements:

- **`_process_context(self, context: LLMContext)`** — The main method that processes an LLM context and generates a response. Each LLM service overrides `process_frame` to extract context from `LLMContextFrame` and calls `_process_context`.
-
- **`adapter_class`** — Class attribute pointing to a `BaseLLMAdapter` subclass. Defaults to `OpenAILLMAdapter`. Non-OpenAI services must implement their own adapter (see `src/pipecat/adapters/base_llm_adapter.py`) with methods:
-  - `get_llm_invocation_params(context)` — Extract provider-specific params from universal context
-  - `to_provider_tools_format(tools_schema)` — Convert standard tools to provider format
-  - `get_messages_for_logging(context)` — Format messages for logging
-  - Reference adapters: `src/pipecat/adapters/services/` (anthropic, gemini, bedrock, etc.)
-
 - **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
+  - `LLMFullResponseStartFrame` - Signals the start of an LLM response
+  - `LLMTextFrame` - Contains LLM content, typically streamed as tokens
+  - `LLMFullResponseEndFrame` - Signals the end of an LLM response

- **Thought frames (reasoning models):** If the model supports extended thinking / chain-of-thought, emit thought frames alongside the response:
-  - `LLMThoughtStartFrame` — Signals the start of a thought
-  - `LLMThoughtTextFrame` — Contains thought content, streamed as tokens
-  - `LLMThoughtEndFrame` — Signals the end of a thought
-
- **Context aggregation** is handled by the framework via `LLMContext` + `LLMContextAggregatorPair`. The LLM service just processes context it receives — no need to implement aggregators.
+- **Context aggregation:** Implement context aggregation to collect user and assistant content:
+  - Aggregators come in pairs with a `user()` instance and `assistant()` instance
+  - Context must adhere to the `LLMContext` universal format
+  - Aggregators should handle adding messages, function calls, and images to the context

 ### TTS (Text-to-Speech) Services

-#### WebsocketTTSService
+#### AudioContextWordTTSService

-**Use for:** Websocket-based streaming services (with or without word timestamps)
+**Use for:** Websocket-based services supporting word/timestamp alignment

-**Examples:**
+**Example:**

 - [CartesiaTTSService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/cartesia/tts.py)
- [ElevenLabsTTSService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/elevenlabs/tts.py)

 #### InterruptibleTTSService

-**Use for:** Websocket-based services without word timestamps that reconnect on interruption (e.g. don't support a context ID or interruption message)
+**Use for:** Websocket-based services without word/timestamp alignment, requiring disconnection on interruption

 **Example:**

 - [SarvamTTSService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/sarvam/tts.py)

+#### WordTTSService
+
+**Use for:** HTTP-based services supporting word/timestamp alignment
+
+**Example:**
+
+- [ElevenLabsHttpTTSService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/elevenlabs/tts.py)
+
 #### TTSService

-**Use for:** HTTP-based services (word timestamps are supported in the base class)
+**Use for:** HTTP-based services without word/timestamp alignment

-**Examples:**
+**Example:**

 - [GoogleHttpTTSService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/google/tts.py)
- [OpenAITTSService](https://github.com/pipecat-ai/pipecat/blob/main/src/pipecat/services/openai/tts.py)

 #### Key requirements:

- For websocket services, use asyncio WebSocket implementation
+- For websocket services, use asyncio WebSocket implementation (required for v13+ support)
 - Handle idle service timeouts with keepalives
- TTS services push both audio (`TTSAudioRawFrame`) and text (`TTSTextFrame`) frames
+- TTSServices push both audio (`TTSRawAudioFrame`) and text (`TTSTextFrame`) frames

 ### Telephony Serializers

@@ -217,25 +200,14 @@ Vision services process images and provide analysis such as descriptions, object

 #### Key requirements:

- Must implement `run_vision` method that takes a `UserImageRawFrame` and returns an `AsyncGenerator[Frame, None]`
- The method processes the image frame and yields frames with analysis results
- Must yield the frame sequence: `VisionFullResponseStartFrame`, `VisionTextFrame`, `VisionFullResponseEndFrame`
+- Must implement `run_vision` method that takes an `LLMContext` and returns an `AsyncGenerator[Frame, None]`
+- The method processes the latest image in the context and yields frames with analysis results
+- Typically yields `TextFrame` objects containing descriptions or answers

 ## Implementation Guidelines

 ### Naming Conventions

-#### Package and Repository Naming
-
-Use the `pipecat-{vendor}` naming convention for your PyPI package and repository:
-
- `pipecat-{vendor}` — for single-service integrations (e.g., `pipecat-deepdub`)
- `pipecat-{vendor}-{type}` — when a vendor offers multiple service types (e.g., `pipecat-upliftai-stt`, `pipecat-upliftai-tts`)
-
-This convention makes community packages easily discoverable via PyPI search and clearly identifies them as part of the Pipecat ecosystem.
-
-#### Class Naming
-
 - **STT:** `VendorSTTService`
 - **LLM:** `VendorLLMService`
 - **TTS:**
@@ -259,105 +231,49 @@ def can_generate_metrics(self) -> bool:
    return True
 ```

-### Service Settings
+### Dynamic Settings Updates

-Every AI service (STT, LLM, TTS, image generation, etc.) exposes a **Settings dataclass** that serves two roles:
+STT, LLM, and TTS services support runtime configuration changes via `*UpdateSettingsFrame`s (e.g. `STTUpdateSettingsFrame`, `TTSUpdateSettingsFrame`, `LLMUpdateSettingsFrame`).

-1. **Store mode** — the service's `self._settings` holds the current value of every runtime-updatable field.
-2. **Delta mode** — an update frame (e.g. `TTSUpdateSettingsFrame`) specifies only the fields that should change; unspecified fields remain `NOT_GIVEN`.
-
-#### Defining your Settings class
-
-Extend `STTSettings`, `TTSSettings`, `LLMSettings`, or `ImageGenSettings` (or, if your service directly subclasses `AIService`, `ServiceSettings`). The base classes already provide common fields (e.g. `model`, `voice`, `language`). You only need to add **service-specific knobs that should be runtime-updatable**:
+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
 from dataclasses import dataclass, field

-from pipecat.services.settings import TTSSettings, NOT_GIVEN
+from pipecat.services.settings import STTSettings, NOT_GIVEN

@dataclass
-class MyTTSSettings(TTSSettings):
-    """Settings for MyTTS service.
+class MySTTSettings(STTSettings):
+    """Settings for my STT service.

    Parameters:
-        speaking_rate: Speed multiplier (0.5–2.0).
+        region: Cloud region for the service.
    """

-    speaking_rate: float | None = field(default_factory=lambda: NOT_GIVEN)
+    region: str = field(default_factory=lambda: NOT_GIVEN)
 ```

-**What goes in Settings vs. `__init__` params:**
-
-| Belongs in Settings                                      | Stays as `__init__` params                |
-| -------------------------------------------------------- | ----------------------------------------- |
-| Model name, voice, language                              | API keys, auth tokens                     |
-| Service-specific tuning knobs (rate, pitch, temperature) | Base URLs, endpoint overrides             |
-| Anything users may want to change mid-session            | Audio encoding, sample format             |
-|                                                          | Connection parameters (timeouts, retries) |
-
-The rule of thumb: if a caller might send an update frame to change it at runtime, it belongs in Settings. Everything else is init-only config stored as `self._xxx`.
-
-#### Wiring settings into `__init__`
-
-Accept an **optional** `settings` parameter. Build a `default_settings` object with all fields set to real values, then merge any caller overrides with `apply_update`.
-
-Add a `Settings` **class attribute** that points to your settings dataclass. This lets callers access the settings class through the service itself (e.g. `MyTTSService.Settings(...)`) without a separate import:
+The service stores its current settings in `self._settings` and declares the type with a class-level annotation for editor support:

 ```python
-from typing import Optional
+class MySTTService(STTService):
+    _settings: MySTTSettings

-class MyTTSService(TTSService):
-    Settings = MyTTSSettings
-    _settings: Settings
-
-    def __init__(
-        self,
-        *,
-        api_key: str,
-        settings: Optional[Settings] = None,
-        **kwargs,
-    ):
-        # 1. Defaults — every field has a real value (store mode).
-        default_settings = self.Settings(
-            model="my-model-v1",
-            voice="default-voice",
-            language="en",
-            speaking_rate=1.0,
+    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
        )
-
-        # 2. Merge caller overrides (only given fields win).
-        if settings is not None:
-            default_settings.apply_update(settings)
-
-        # 3. Pass the fully-populated settings to the base class.
-        super().__init__(settings=default_settings, **kwargs)
-
-        # 4. Init-only config stored separately.
-        self._api_key = api_key
 ```

-This pattern lets callers override only what they care about:
-
-```python
-# Uses all defaults
-svc = MyTTSService(api_key="sk-xxx")
-
-# Overrides just the voice — access Settings through the service class
-svc = MyTTSService(
-    api_key="sk-xxx",
-    settings=MyTTSService.Settings(voice="custom-voice"),
-)
-```
-
-#### Reacting to runtime changes
-
-AI services support runtime configuration changes via `*UpdateSettingsFrame`s (e.g. `STTUpdateSettingsFrame`, `TTSUpdateSettingsFrame`, `LLMUpdateSettingsFrame`).
-
 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: TTSSettings) -> dict[str, Any]:
-    """Apply a settings update, reconfiguring the connection if needed."""
+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:
@@ -376,7 +292,7 @@ Note that, in this example, the service requires a reconnect to apply the new la
 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: TTSSettings) -> dict[str, Any]:
+async def _update_settings(self, update: STTSettings) -> dict[str, Any]:
    changed = await super()._update_settings(update)

    if not changed:
@@ -409,7 +325,7 @@ Note that `self.sample_rate` is a `@property` set in the TTSService base class,

 Use Pipecat's tracing decorators:

- **STT:** `@traced_stt` - decorate `_handle_transcription(self, transcript, is_final, language)` (the standard method name convention)
+- **STT:** `@traced_stt` - decorate a function that handles `transcript`, `is_final`, `language` as args
 - **LLM:** `@traced_llm` - decorate the `_process_context()` method
 - **TTS:** `@traced_tts` - decorate the `run_tts()` method

@@ -417,9 +333,8 @@ Use Pipecat's tracing decorators:

 ### Packaging and Distribution

- Name your package `pipecat-{vendor}` (see [Naming Conventions](#naming-conventions))
 - Use [uv](https://docs.astral.sh/uv/) for packaging (encouraged)
- Publish to PyPI for easier installation
+- Consider releasing to PyPI for easier installation
 - Follow semantic versioning principles
 - Maintain a changelog

@@ -432,15 +347,17 @@ For REST-based communication, use aiohttp. Pipecat includes this as a required d
 - Wrap API calls in appropriate try/catch blocks
 - Handle rate limits and network failures gracefully
 - Provide meaningful error messages
- When errors occur, raise exceptions AND push errors to notify the pipeline:
+- When errors occur, raise exceptions AND push `ErrorFrame`s to notify the pipeline:

 ```python
+from pipecat.frames.frames import ErrorFrame
+
 try:
    # Your API call
    result = await self._make_api_call()
 except Exception as e:
-    # Push error upstream to notify the pipeline
-    await self.push_error(f"{self} error: {e}", exception=e)
+    # Push error frame to pipeline
+    await self.push_error(ErrorFrame(error=f"{self} error: {e}"))
    # Raise or handle as appropriate
    raise
 ```
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@

 **Pipecat** is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.

-> Want to dive right in? Run `pipecat init quickstart` or follow the [quickstart guide](https://docs.pipecat.ai/getting-started/quickstart).
+> Want to dive right in? Try the [quickstart](https://docs.pipecat.ai/getting-started/quickstart).

 ## 🚀 What You Can Build

@@ -65,10 +65,6 @@ claude plugin marketplace add pipecat-ai/skills

 and install any of the available plugins.

-### 🧩 Community Integrations
-
-Build and share your own Pipecat service integrations! Browse existing [community integrations](https://docs.pipecat.ai/server/services/community-integrations) or check out our [guide](COMMUNITY_INTEGRATIONS.md) to create your own.
-
 ### 📺️ Pipecat TV Channel

 Catch new features, interviews, and how-tos on our [Pipecat TV](https://www.youtube.com/playlist?list=PLzU2zoMTQIHjqC3v4q2XVSR3hGSzwKFwH) channel.
@@ -80,25 +76,24 @@ Catch new features, interviews, and how-tos on our [Pipecat TV](https://www.yout
    <a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/storytelling-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/storytelling-chatbot/image.png" width="400" /></a>
    <br/>
    <a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/translation-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/translation-chatbot/image.png" width="400" /></a>&nbsp;
-    <a href="https://github.com/pipecat-ai/pipecat/blob/main/examples/vision/vision-moondream.py"><img src="https://github.com/pipecat-ai/pipecat/blob/main/examples/assets/moondream.png" width="400" /></a>
+    <a href="https://github.com/pipecat-ai/pipecat/blob/main/examples/foundational/12-describe-video.py"><img src="https://github.com/pipecat-ai/pipecat/blob/main/examples/foundational/assets/moondream.png" width="400" /></a>
 </p>

 ## 🧩 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), [NVIDIA Riva](https://docs.pipecat.ai/server/services/stt/riva), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [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), [Nebius](https://docs.pipecat.ai/server/services/llm/nebius), [Novita](https://docs.pipecat.ai/server/services/llm/novita), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nvidia), [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), [Sarvam](https://docs.pipecat.ai/server/services/llm/sarvam), [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), [Hume](https://docs.pipecat.ai/server/services/tts/hume), [Inworld](https://docs.pipecat.ai/server/services/tts/inworld), [Kokoro](https://docs.pipecat.ai/server/services/tts/kokoro), [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), [Smallest](https://docs.pipecat.ai/server/services/tts/smallest), [Speechmatics](https://docs.pipecat.ai/server/services/tts/speechmatics), [xAI](https://docs.pipecat.ai/server/services/tts/xai), [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), [LiveKit (WebRTC)](https://docs.pipecat.ai/server/services/transport/livekit), [SmallWebRTCTransport](https://docs.pipecat.ai/server/services/transport/small-webrtc), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), [WhatsApp](https://docs.pipecat.ai/server/services/transport/whatsapp), Local                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
-| Serializers         | [Exotel](https://docs.pipecat.ai/server/services/serializers/exotel), [Genesys](https://docs.pipecat.ai/server/services/serializers/genesys), [Plivo](https://docs.pipecat.ai/server/services/serializers/plivo), [Twilio](https://docs.pipecat.ai/server/services/serializers/twilio), [Telnyx](https://docs.pipecat.ai/server/services/serializers/telnyx), [Vonage](https://docs.pipecat.ai/server/services/serializers/vonage)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
-| Video               | [HeyGen](https://docs.pipecat.ai/server/services/video/heygen), [LemonSlice](https://docs.pipecat.ai/server/services/transport/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 Viva](https://docs.pipecat.ai/guides/features/krisp-viva), [Koala](https://docs.pipecat.ai/server/utilities/audio/koala-filter), [ai-coustics](https://docs.pipecat.ai/server/utilities/audio/aic-filter), [RNNoise](https://docs.pipecat.ai/server/utilities/audio/rnnoise-filter)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
-| Analytics & Metrics | [OpenTelemetry](https://docs.pipecat.ai/server/utilities/opentelemetry), [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
-| Community           | [Browse community integrations →](https://docs.pipecat.ai/server/services/community-integrations)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+| 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)

@@ -142,15 +137,15 @@ You can get started with Pipecat running on your local machine, then move your a

 ## 🧪 Code examples

- [Foundational](https://github.com/pipecat-ai/pipecat/tree/main/examples) — small snippets that build on each other, introducing one or two concepts at a time
+- [Foundational](https://github.com/pipecat-ai/pipecat/tree/main/examples/foundational) — small snippets that build on each other, introducing one or two concepts at a time
 - [Example apps](https://github.com/pipecat-ai/pipecat-examples) — complete applications that you can use as starting points for development

 ## 🛠️ Contributing to the framework

 ### Prerequisites

-**Minimum Python Version:** 3.11
-**Recommended Python Version:** >= 3.12
+**Minimum Python Version:** 3.10
+**Recommended Python Version:** 3.12

 ### Setup Steps

@@ -166,6 +161,7 @@ You can get started with Pipecat running on your local machine, then move your a
   ```bash
   uv sync --group dev --all-extras \
     --no-extra gstreamer \
+     --no-extra krisp \
     --no-extra local \
   ```

--- a/changelog/3848.changed.md
+++ b/changelog/3848.changed.md
@@ -0,0 +1 @@
+- ⚠️ Updated `DeepgramSTTService` to use `deepgram-sdk` v6. The `LiveOptions` class was removed from the SDK and is now provided by pipecat directly; import it from `pipecat.services.deepgram.stt` instead of `deepgram`.
--- a/changelog/3848.fixed.md
+++ b/changelog/3848.fixed.md
@@ -0,0 +1 @@
+- Fixed `DeepgramSTTService` keepalive ping timeout disconnections. The deepgram-sdk v6 removed automatic keepalive; pipecat now sends explicit `KeepAlive` messages every 5 seconds, within the recommended 3–5 second interval before Deepgram's 10-second inactivity timeout.
--- a/changelog/3889.changed.md
+++ b/changelog/3889.changed.md
@@ -0,0 +1,3 @@
+- Support for Voice Focus 2.0 models.
+  - Updated `aic-sdk` to `~=2.1.0` to support Voice Focus 2.0 models.
+  - Cleaned unused `ParameterFixedError` exception handling in `AICFilter` parameter setup. 
--- a/changelog/3889.fixed.md
+++ b/changelog/3889.fixed.md
@@ -0,0 +1 @@
+- Fixed `BufferError: Existing exports of data: object cannot be re-sized` in `AICFilter` caused by holding a `memoryview` on the mutable audio buffer across async yield points.
--- a/changelog/3914.changed.md
+++ b/changelog/3914.changed.md
@@ -0,0 +1 @@
+- `max_context_tokens` and `max_unsummarized_messages` in `LLMAutoContextSummarizationConfig` (and deprecated `LLMContextSummarizationConfig`) can now be set to `None` independently to disable that summarization threshold. At least one must remain set.
--- a/changelog/3915.added.md
+++ b/changelog/3915.added.md
@@ -0,0 +1 @@
+- Added optional `timeout_secs` parameter to `register_function()` and `register_direct_function()` for per-tool function call timeout control, overriding the global `function_call_timeout_secs` default.
--- a/changelog/3916.added.md
+++ b/changelog/3916.added.md
@@ -0,0 +1 @@
+- Added `cloud-audio-only` recording option to Daily transport's `enable_recording` property.
--- a/changelog/3918.added.md
+++ b/changelog/3918.added.md
@@ -0,0 +1,15 @@
+- Wired up `system_instruction` in `BaseOpenAILLMService`, `AnthropicLLMService`, and `AWSBedrockLLMService` so it works as a default system prompt, matching the behavior of the Google services. This enables sharing a single `LLMContext` across multiple LLM services, where each service provides its own system instruction independently.
+
+  ```python
+  llm = OpenAILLMService(
+      api_key=os.getenv("OPENAI_API_KEY"),
+      system_instruction="You are a helpful assistant.",
+  )
+
+  context = LLMContext()
+
+  @transport.event_handler("on_client_connected")
+  async def on_client_connected(transport, client):
+      context.add_message({"role": "user", "content": "Please introduce yourself."})
+      await task.queue_frames([LLMRunFrame()])
+  ```
--- a/changelog/3918.other.md
+++ b/changelog/3918.other.md
@@ -0,0 +1 @@
+- Updated foundational examples to use `system_instruction` on LLM services instead of adding system messages to `LLMContext`.
--- a/changelog/3984.changed.md
+++ b/changelog/3984.changed.md
@@ -1 +0,0 @@
- Updated `onnxruntime` from 1.23.2 to 1.24.3, adding support for Python 3.14.
--- a/changelog/4034.changed.md
+++ b/changelog/4034.changed.md
@@ -1 +0,0 @@
- MCPClient now requires async with MCPClient(...) as mcp: or explicit start()/close() calls to manage the connection lifecycle.
--- a/changelog/4034.fixed.md
+++ b/changelog/4034.fixed.md
@@ -1 +0,0 @@
- Fixed MCPClient opening a new connection for every tool call instead of reusing the session.
--- a/changelog/4141.added.md
+++ b/changelog/4141.added.md
@@ -1 +0,0 @@
- ⚠️ Added WebSocket-based `OpenAIResponsesLLMService` as the new default for the OpenAI Responses API. It maintains a persistent connection to `wss://api.openai.com/v1/responses` and automatically uses `previous_response_id` to send only incremental context, falling back to full context on reconnection or cache miss. The previous HTTP-based implementation is now available as `OpenAIResponsesHttpLLMService`.
--- a/changelog/4191.removed.md
+++ b/changelog/4191.removed.md
@@ -1 +0,0 @@
- ⚠️ Removed `OpenPipeLLMService` and the `openpipe` extra. OpenPipe was acquired by CoreWeave and the package is no longer maintained. If you were using `openpipe` as an LLM provider, switch to the underlying provider directly (e.g. `openai`). The OpenPipe interface can still be used with `OpenAILLMService` by specifying a `base_url`.
--- a/changelog/4192.changed.md
+++ b/changelog/4192.changed.md
@@ -1 +0,0 @@
- ⚠️ Updated `langchain` extra to require langchain 1.x (from 0.3.x), langchain-community 0.4.x (from 0.3.x), and langchain-openai 1.x (from 0.3.x). If you pin these packages in your project, update your pins accordingly.
--- a/changelog/4202.fixed.md
+++ b/changelog/4202.fixed.md
@@ -1 +0,0 @@
- Fixed `InworldHttpTTSService` streaming responses crashing with `UnicodeDecodeError` when multi-byte UTF-8 characters were split across chunk boundaries. This caused TTS audio to cut off mid-sentence intermittently.
--- a/changelog/4203.fixed.md
+++ b/changelog/4203.fixed.md
@@ -1 +0,0 @@
- Fixed a crash (`JSONDecodeError`) when a user interruption occurs while the LLM is streaming function call arguments. Previously, the incomplete JSON arguments were passed directly to `json.loads()`, causing an unhandled exception. Affected services: OpenAI, Google (OpenAI-compatible), and SambaNova.
--- a/changelog/4204.removed.10.md
+++ b/changelog/4204.removed.10.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `observers` field from `PipelineParams`. Pass observers directly to `PipelineTask` constructor instead.
--- a/changelog/4204.removed.11.md
+++ b/changelog/4204.removed.11.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `on_pipeline_ended`, `on_pipeline_cancelled`, and `on_pipeline_stopped` events from `PipelineTask`. Use `on_pipeline_finished` instead.
--- a/changelog/4204.removed.12.md
+++ b/changelog/4204.removed.12.md
@@ -1 +0,0 @@
- ⚠️ Removed `AudioBufferProcessor.user_continuous_stream` parameter. Use `user_audio_passthrough` instead.
--- a/changelog/4204.removed.13.md
+++ b/changelog/4204.removed.13.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `camera_in_enabled`, `camera_in_is_live`, `camera_in_width`, `camera_in_height`, `camera_out_enabled`, `camera_out_is_live`, `camera_out_width`, `camera_out_height`, and `camera_out_color` transport params. Use the `video_in_*` and `video_out_*` equivalents instead.
--- a/changelog/4204.removed.14.md
+++ b/changelog/4204.removed.14.md
@@ -1 +0,0 @@
- ⚠️ Removed `RTVIObserver.errors_enabled` parameter.
--- a/changelog/4204.removed.15.md
+++ b/changelog/4204.removed.15.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `vad_enabled` and `vad_audio_passthrough` transport params.
--- a/changelog/4204.removed.16.md
+++ b/changelog/4204.removed.16.md
@@ -1 +0,0 @@
- ⚠️ Removed `TTSService.say()`. Push a `TTSSpeakFrame` into the pipeline instead.
--- a/changelog/4204.removed.17.md
+++ b/changelog/4204.removed.17.md
@@ -1 +0,0 @@
- ⚠️ Removed `DailyRunner.configure_with_args()`. Use `PipelineRunner` with `RunnerArguments` instead.
--- a/changelog/4204.removed.18.md
+++ b/changelog/4204.removed.18.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated RTVI models, frames, and processor methods including `RTVIConfig`, `RTVIServiceConfig`, `RTVIServiceOptionConfig`, various `RTVI*Data` models, `RTVIActionFrame`, and `RTVIProcessor.handle_function_call`/`handle_function_call_start`. Use the updated RTVI processor API instead.
--- a/changelog/4204.removed.19.md
+++ b/changelog/4204.removed.19.md
@@ -1 +0,0 @@
- ⚠️ Removed `FrameProcessor.wait_for_task()`. Use `create_task()` and manage tasks with the built-in `TaskManager` instead.
--- a/changelog/4204.removed.2.md
+++ b/changelog/4204.removed.2.md
@@ -1 +0,0 @@
- ⚠️ Removed `KrispFilter`. The `krisp` extra has been removed from `pyproject.toml`.
--- a/changelog/4204.removed.20.md
+++ b/changelog/4204.removed.20.md
@@ -1 +0,0 @@
- ⚠️ Removed `LLMService.request_image_frame()`. Push a `UserImageRequestFrame` instead.
--- a/changelog/4204.removed.3.md
+++ b/changelog/4204.removed.3.md
@@ -1 +0,0 @@
- ⚠️ Removed `create_default_resampler()` from `pipecat.audio.utils`.
--- a/changelog/4204.removed.4.md
+++ b/changelog/4204.removed.4.md
@@ -1 +0,0 @@
- ⚠️ Removed `FalSmartTurnAnalyzer` and `LocalSmartTurnAnalyzer`.
--- a/changelog/4204.removed.5.md
+++ b/changelog/4204.removed.5.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated transport frames: `TransportMessageFrame`, `TransportMessageUrgentFrame`, `InputTransportMessageUrgentFrame`, `DailyTransportMessageFrame`, and `DailyTransportMessageUrgentFrame`. Use `OutputTransportMessageFrame`, `OutputTransportMessageUrgentFrame`, `InputTransportMessageFrame`, `DailyOutputTransportMessageFrame`, and `DailyOutputTransportMessageUrgentFrame` instead.
--- a/changelog/4204.removed.6.md
+++ b/changelog/4204.removed.6.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `KeypadEntryFrame` alias.
--- a/changelog/4204.removed.7.md
+++ b/changelog/4204.removed.7.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated interruption frames: `StartInterruptionFrame` and `BotInterruptionFrame`. Use `InterruptionFrame` and `InterruptionTaskFrame` instead.
--- a/changelog/4204.removed.8.md
+++ b/changelog/4204.removed.8.md
@@ -1 +0,0 @@
- ⚠️ Removed `LLMService.start_callback` parameter. Register an `on_llm_response_start` event handler instead.
--- a/changelog/4204.removed.9.md
+++ b/changelog/4204.removed.9.md
@@ -1 +0,0 @@
- ⚠️ Removed single-argument function call support from `LLMService`. Functions must use named parameters instead of a single `arguments` parameter.
--- a/changelog/4204.removed.md
+++ b/changelog/4204.removed.md
@@ -1 +0,0 @@
- ⚠️ Removed `NoisereduceFilter`. Use system-level noise reduction or a service-based alternative instead.
--- a/changelog/4208.removed.10.md
+++ b/changelog/4208.removed.10.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.services.riva` package. Use `pipecat.services.nvidia.stt` and `pipecat.services.nvidia.tts` instead (`RivaSTTService` → `NvidiaSTTService`, `RivaTTSService` → `NvidiaTTSService`).
--- a/changelog/4208.removed.11.md
+++ b/changelog/4208.removed.11.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.services.nim` package. Use `pipecat.services.nvidia.llm` instead (`NimLLMService` → `NvidiaLLMService`).
--- a/changelog/4208.removed.2.md
+++ b/changelog/4208.removed.2.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.services.gemini_multimodal_live` package. Use `pipecat.services.google.gemini_live` instead. Note that class names no longer include "Multimodal" (e.g. `GeminiMultimodalLiveLLMService` → `GeminiLiveLLMService`).
--- a/changelog/4208.removed.3.md
+++ b/changelog/4208.removed.3.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.services.aws_nova_sonic` package. Use `pipecat.services.aws.nova_sonic` instead.
--- a/changelog/4208.removed.4.md
+++ b/changelog/4208.removed.4.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.services.openai_realtime` package. Use `pipecat.services.openai.realtime` instead.
--- a/changelog/4208.removed.5.md
+++ b/changelog/4208.removed.5.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `OpenAIRealtimeBetaLLMService` and `AzureRealtimeBetaLLMService`. Use `OpenAIRealtimeLLMService` and `AzureRealtimeLLMService` from `pipecat.services.openai.realtime` and `pipecat.services.azure.realtime` instead.
--- a/changelog/4208.removed.6.md
+++ b/changelog/4208.removed.6.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.services.deepgram.stt_sagemaker` and `pipecat.services.deepgram.tts_sagemaker` modules. Use `pipecat.services.deepgram.sagemaker.stt` and `pipecat.services.deepgram.sagemaker.tts` instead.
--- a/changelog/4208.removed.7.md
+++ b/changelog/4208.removed.7.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `GoogleLLMOpenAIBetaService` from `pipecat.services.google.openai`. Use `GoogleLLMService` from `pipecat.services.google.llm` instead.
--- a/changelog/4208.removed.8.md
+++ b/changelog/4208.removed.8.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.services.google.llm_vertex` module. Use `pipecat.services.google.vertex.llm` instead.
--- a/changelog/4208.removed.9.md
+++ b/changelog/4208.removed.9.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.services.google.gemini_live.llm_vertex` module. Use `pipecat.services.google.gemini_live.vertex.llm` instead.
--- a/changelog/4208.removed.md
+++ b/changelog/4208.removed.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.services.ai_services` module. Import from `pipecat.services.ai_service`, `pipecat.services.llm_service`, `pipecat.services.stt_service`, `pipecat.services.tts_service`, etc. instead.
--- a/changelog/4209.changed.md
+++ b/changelog/4209.changed.md
@@ -1 +0,0 @@
- Changed `GrokLLMService` default model from `grok-3-beta` to `grok-3`, now that the model is generally available.
--- a/changelog/4213.changed.md
+++ b/changelog/4213.changed.md
@@ -1 +0,0 @@
- `GoogleImageGenService` now defaults to `imagen-4.0-generate-001` (previously `imagen-3.0-generate-002`).
--- a/changelog/4215.changed.md
+++ b/changelog/4215.changed.md
@@ -1 +0,0 @@
- ⚠️ `BaseOpenAILLMService.get_chat_completions()` now accepts an `LLMContext` instead of `OpenAILLMInvocationParams`. If you override this method, update your signature accordingly.
--- a/changelog/4215.removed.2.md
+++ b/changelog/4215.removed.2.md
@@ -1,22 +0,0 @@
- ⚠️ Removed deprecated service-specific context and aggregator machinery, which was superseded by the universal `LLMContext` system.
-
-  Service-specific classes removed: `AnthropicLLMContext`, `AnthropicContextAggregatorPair`, `AWSBedrockLLMContext`, `AWSBedrockContextAggregatorPair`, `OpenAIContextAggregatorPair`, and their user/assistant aggregators. Also removed `create_context_aggregator()` from `LLMService`, `OpenAILLMService`, `AnthropicLLMService`, and `AWSBedrockLLMService`.
-
-  Base aggregator classes removed (from `pipecat.processors.aggregators.llm_response`): `BaseLLMResponseAggregator`, `LLMContextResponseAggregator`, `LLMUserContextAggregator`, `LLMAssistantContextAggregator`, `LLMUserResponseAggregator`, `LLMAssistantResponseAggregator`.
-
-  From the developer's point of view, migrating will usually be a matter of going from this:
-
-  ```python
-  context = OpenAILLMContext(messages, tools)
-  context_aggregator = llm.create_context_aggregator(context)
-  ```
-
-  To this:
-
-  ```python
-  from pipecat.processors.aggregators.llm_context import LLMContext
-  from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
-
-  context = LLMContext(messages, tools)
-  context_aggregator = LLMContextAggregatorPair(context)
-  ```
--- a/changelog/4215.removed.3.md
+++ b/changelog/4215.removed.3.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated frame types `LLMMessagesFrame` and `OpenAILLMContextAssistantTimestampFrame` from `pipecat.frames.frames`. Instead of `LLMMessagesFrame`, use `LLMContextFrame` with the new messages, or `LLMMessagesUpdateFrame` with `run_llm=True`.
--- a/changelog/4215.removed.4.md
+++ b/changelog/4215.removed.4.md
@@ -1 +0,0 @@
- ⚠️ Removed `GatedOpenAILLMContextAggregator` (from `pipecat.processors.aggregators.gated_open_ai_llm_context`). Use `GatedLLMContextAggregator` (from `pipecat.processors.aggregators.gated_llm_context`) instead.
--- a/changelog/4215.removed.5.md
+++ b/changelog/4215.removed.5.md
@@ -1 +0,0 @@
- ⚠️ Removed `VisionImageFrameAggregator` (from `pipecat.processors.aggregators.vision_image_frame`). Vision/image handling is now built into `LLMContext` (from `pipecat.processors.aggregators.llm_context`). See the `12*` examples for the recommended replacement pattern.
--- a/changelog/4215.removed.6.md
+++ b/changelog/4215.removed.6.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated compatibility modules: `pipecat.services.openai_realtime_beta` (use `pipecat.services.openai.realtime`), `pipecat.services.openai_realtime.context`, `pipecat.services.openai_realtime.frames`, `pipecat.services.openai.realtime.context`, `pipecat.services.openai.realtime.frames`, `pipecat.services.gemini_multimodal_live` (use `pipecat.services.google.gemini_live`), `pipecat.services.aws_nova_sonic.context` (use `pipecat.services.aws.nova_sonic`), `pipecat.services.google.openai` and `pipecat.services.google.llm_openai` (use `pipecat.services.google.llm`).
--- a/changelog/4215.removed.md
+++ b/changelog/4215.removed.md
@@ -1,18 +0,0 @@
- ⚠️ Removed `OpenAILLMContext`, `OpenAILLMContextFrame`, and `OpenAILLMContext.from_messages()`. Use `LLMContext` (from `pipecat.processors.aggregators.llm_context`) and `LLMContextFrame` (from `pipecat.frames.frames`) instead. All services now exclusively use the universal `LLMContext`.
-
-  From the developer's point of view, migrating will usually be a matter of going from this:
-
-  ```python
-  context = OpenAILLMContext(messages, tools)
-  context_aggregator = llm.create_context_aggregator(context)
-  ```
-
-  To this:
-
-  ```python
-  from pipecat.processors.aggregators.llm_context import LLMContext
-  from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
-
-  context = LLMContext(messages, tools)
-  context_aggregator = LLMContextAggregatorPair(context)
-  ```
--- a/changelog/4219.added.md
+++ b/changelog/4219.added.md
@@ -1 +0,0 @@
- Added `enable_prompt_caching` setting to `AWSBedrockLLMService` for Bedrock ConverseStream prompt caching.
--- a/changelog/4220.fixed.md
+++ b/changelog/4220.fixed.md
@@ -1 +0,0 @@
- Fixed `CartesiaTTSService` failing with "Context has closed" errors when switching voice, model, or language via `TTSUpdateSettingsFrame`. The service now automatically flushes the current audio context and opens a fresh one when these settings change.
--- a/changelog/4220.removed.md
+++ b/changelog/4220.removed.md
@@ -1,13 +0,0 @@
- ⚠️ Removed deprecated service parameters and shims that have been replaced by the `settings=Service.Settings(...)` pattern or direct `__init__` parameters:
-  - `PollyTTSService` alias (use `AWSTTSService`)
-  - `TTSService`: `text_aggregator`, `text_filter` init params
-  - `AWSNovaSonicLLMService`: `send_transcription_frames` init param
-  - `DeepgramSTTService`: `url` init param (use `base_url`)
-  - `FishAudioTTSService`: `model` init param (use `reference_id` or `settings`)
-  - `GladiaSTTService`: `language` and `confidence` from `GladiaInputParams`, `InputParams` class alias
-  - `GeminiTTSService`: `api_key` init param
-  - `GeminiLiveLLMService`: `base_url` init param (use `http_options`)
-  - `GoogleVertexLLMService`: `InputParams` class with `location`/`project_id` fields (use direct init params); `project_id` is now required, `location` defaults to `"us-east4"`
-  - `MiniMaxHttpTTSService`: `english_normalization` from `InputParams` (use `text_normalization`)
-  - `SimliVideoService`: `simli_config` init param (use `api_key`/`face_id`), `use_turn_server` init param; `api_key` and `face_id` are now required
-  - `AnthropicLLMService`: `enable_prompt_caching_beta` from `InputParams` (use `enable_prompt_caching`)
--- a/changelog/4224.changed.md
+++ b/changelog/4224.changed.md
@@ -1 +0,0 @@
- ⚠️ `LLMService.function_call_timeout_secs` now defaults to `None` instead of `10.0`. Deferred function calls will run indefinitely unless a timeout is explicitly set at the service level or per-call. If you relied on the previous 10-second default, pass `function_call_timeout_secs=10.0` explicitly.
--- a/changelog/4225.removed.2.md
+++ b/changelog/4225.removed.2.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.sync` package. Use `pipecat.utils.sync` instead.
--- a/changelog/4225.removed.md
+++ b/changelog/4225.removed.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.transports.services` and `pipecat.transports.network` module aliases. Update imports to use `pipecat.transports.daily.transport`, `pipecat.transports.livekit.transport`, `pipecat.transports.websocket.*`, `pipecat.transports.webrtc.*`, and `pipecat.transports.daily.utils` respectively.
--- a/changelog/4228.removed.10.md
+++ b/changelog/4228.removed.10.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `add_pattern_pair` method from `PatternPairAggregator`. Use `add_pattern` instead.
--- a/changelog/4228.removed.2.md
+++ b/changelog/4228.removed.2.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `interruption_strategies` parameter from `PipelineParams`, `StartFrame`, and `FrameProcessor`. Use `LLMUserAggregator`'s `user_turn_strategies` parameter instead.
--- a/changelog/4228.removed.3.md
+++ b/changelog/4228.removed.3.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `EmulateUserStartedSpeakingFrame` and `EmulateUserStoppedSpeakingFrame` frames, and the `emulated` field from `UserStartedSpeakingFrame` / `UserStoppedSpeakingFrame`.
--- a/changelog/4228.removed.4.md
+++ b/changelog/4228.removed.4.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.audio.interruptions` module (`BaseInterruptionStrategy`, `MinWordsInterruptionStrategy`). Use `pipecat.turns.user_start.MinWordsUserTurnStartStrategy` with `LLMUserAggregator`'s `user_turn_strategies` parameter instead.
--- a/changelog/4228.removed.5.md
+++ b/changelog/4228.removed.5.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.processors.transcript_processor` module (`TranscriptProcessor`, `TranscriptProcessorConfig`). Use pipeline observers instead.
--- a/changelog/4228.removed.6.md
+++ b/changelog/4228.removed.6.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `TranscriptionMessage`, `ThoughtTranscriptionMessage`, and `TranscriptionUpdateFrame` from `pipecat.frames.frames`.
--- a/changelog/4228.removed.7.md
+++ b/changelog/4228.removed.7.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `STTMuteFilter`, `STTMuteConfig`, and `STTMuteStrategy` from `pipecat.processors.filters.stt_mute_filter`. Use `pipecat.turns.user_mute` strategies with `LLMUserAggregator`'s `user_mute_strategies` parameter instead.
--- a/changelog/4228.removed.8.md
+++ b/changelog/4228.removed.8.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `UserResponseAggregator` class from `pipecat.processors.aggregators.user_response`. Use `LLMUserAggregator` instead.
--- a/changelog/4228.removed.9.md
+++ b/changelog/4228.removed.9.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `pipecat.utils.tracing.class_decorators` module. Use `pipecat.utils.tracing.service_decorators` instead.
--- a/changelog/4228.removed.md
+++ b/changelog/4228.removed.md
@@ -1 +0,0 @@
- ⚠️ Removed deprecated `allow_interruptions` parameter from `PipelineParams`, `StartFrame`, and `FrameProcessor`. Interruptions are now always allowed by default. Use `LLMUserAggregator`'s `user_turn_strategies` / `user_mute_strategies` parameters to control interruption behavior.
--- a/changelog/4229.removed.2.md
+++ b/changelog/4229.removed.2.md
@@ -1 +0,0 @@
- ⚠️ Removed `ExternalUserTurnStrategies` and the automatic fallback to it in `LLMUserAggregator` when a `SpeechControlParamsFrame` was received from the transport.
--- a/changelog/4229.removed.md
+++ b/changelog/4229.removed.md
@@ -1 +0,0 @@
- ⚠️ Removed `vad_analyzer` and `turn_analyzer` parameters from `TransportParams` and all transport input classes, along with all deprecated VAD/turn analysis logic in `BaseInputTransport`. VAD and turn detection are now handled entirely by `LLMUserAggregator`.
--- a/docs/api/build-docs.sh
+++ b/docs/api/build-docs.sh
@@ -2,7 +2,7 @@

 # Build docs using uv
 echo "Installing dependencies with uv..."
-uv sync --group docs --all-extras --no-extra gstreamer --no-extra local_smart_turn --no-extra moondream --no-extra riva --no-extra mlx-whisper
+uv sync --group docs --all-extras --no-extra krisp --no-extra gstreamer --no-extra local_smart_turn --no-extra moondream --no-extra riva --no-extra mlx-whisper

 # Check if sphinx-build is available
 if ! uv run sphinx-build --version &> /dev/null; then
--- a/docs/api/conf.py
+++ b/docs/api/conf.py
@@ -48,6 +48,8 @@ autodoc_default_options = {
 # Mock imports for optional dependencies
 autodoc_mock_imports = [
    # Krisp - has build issues on some platforms
+    "pipecat_ai_krisp",
+    "krisp",
    "krisp_audio",
    # System-specific GUI libraries
    "_tkinter",
@@ -96,6 +98,7 @@ autodoc_mock_imports = [
    "cartesia",
    "camb",
    "sarvamai",
+    "openpipe",
    "openai.types.beta.realtime",
    "langchain_core",
    "langchain_core.messages",
--- a/env.example
+++ b/env.example
@@ -80,9 +80,15 @@ GOOGLE_TEST_CREDENTIALS=...
 # Gradium
 GRAPDIUM_API_KEY=...

+# Grok
+GROK_API_KEY=...
+
 # Groq
 GROQ_API_KEY=...

+# Hathora
+HATHORA_API_KEY=...
+
 # Heygen
 HEYGEN_API_KEY=...
 HEYGEN_LIVE_AVATAR_API_KEY=...
@@ -121,21 +127,18 @@ MINIMAX_GROUP_ID=...
 # Mistral
 MISTRAL_API_KEY=...

-# Nebius
-NEBIUS_API_KEY=...
-
 # Neuphonic
 NEUPHONIC_API_KEY=...

-# Novita
-NOVITA_API_KEY=...
-
 # NVIDIA
 NVIDIA_API_KEY=...

 # OpenAI
 OPENAI_API_KEY=...

+# OpenPipe
+OPENPIPE_API_KEY=...
+
 # OpenRouter
 OPENROUTER_API_KEY=...

@@ -176,9 +179,6 @@ SENTRY_DSN=...
 SIMLI_API_KEY=...
 SIMLI_FACE_ID=...

-# Smallest
-SMALLEST_API_KEY=...
-
 # Smart turn
 LOCAL_SMART_TURN_MODEL_PATH=...
 FAL_SMART_TURN_API_KEY=...
@@ -212,6 +212,3 @@ WHATSAPP_TOKEN=...
 WHATSAPP_WEBHOOK_VERIFICATION_TOKEN=...
 WHATSAPP_PHONE_NUMBER_ID=...
 WHATSAPP_APP_SECRET=...
-
-# xAI / Grok
-XAI_API_KEY=...
--- a/examples/README.md
+++ b/examples/README.md
@@ -1,150 +1,31 @@
 # Pipecat Examples

-This directory contains examples showing how to build voice and multimodal agents with Pipecat.
+This directory contains examples to help you learn how to build with Pipecat.

-## Setup
+## Getting Started

-1. Follow the [README](https://github.com/pipecat-ai/pipecat/blob/main/README.md#%EF%B8%8F-contributing-to-the-framework) steps to get your local environment configured.
+New to Pipecat? Start here:

-   > **Run from root directory**: Make sure you are running the steps from the root directory.
+- **[Quickstart](quickstart/)** - Get your first voice AI bot running in 5 minutes _(coming soon)_
+- **[Client/Server Web](client-server-web/)** - Learn to build web applications with Pipecat's client SDKs _(coming soon)_
+- **[Phone Bot with Twilio](phone-bot-twilio/)** - Connect your bot to a phone number _(coming soon)_

-   > **Using local audio?**: The `LocalAudioTransport` requires a system dependency for `portaudio`. Install the dependency to use the transport.
+## Foundational Examples

-2. Copy the [`env.example`](../env.example) file and add API keys for services you plan to use:
+Single-file examples that introduce core Pipecat concepts one at a time. These examples:

-   ```bash
-   cp env.example .env
-   # Edit .env with your API keys
-   ```
+- Build on each other progressively
+- Focus on specific features or integrations
+- Are used for testing with every Pipecat release

-3. Run any example:
+See the **[Foundational Examples README](foundational/)** for the complete list.

-   ```bash
-   uv run python getting-started/01-say-one-thing.py
-   ```
+## More Advanced Examples

-4. Open the web interface at http://localhost:7860/client/ and click "Connect"
+Ready to explore complex use cases? Visit **[pipecat-examples](https://github.com/pipecat-ai/pipecat-examples)** for:

-## Running examples with other transports
-
-Most examples support running with other transports, like Twilio or Daily.
-
-### Daily
-
-You need to create a Daily account at https://dashboard.daily.co/u/signup. Once signed up, you can create your own room from the dashboard and set the environment variables `DAILY_ROOM_URL` and `DAILY_API_KEY`. Alternatively, you can let the example create a room for you (still needs `DAILY_API_KEY` environment variable). Then, start any example with `-t daily`:
-
-```bash
-uv run getting-started/06-voice-agent.py -t daily
-```
-
-### Twilio
-
-It is also possible to run the example through a Twilio phone number. You will need to setup a few things:
-
-1. Install and run [ngrok](https://ngrok.com/download).
-
-```bash
-ngrok http 7860
-```
-
-2. Configure your Twilio phone number. One way is to setup a TwiML app and set the request URL to the ngrok URL from step (1). Then, set your phone number to use the new TwiML app.
-
-Then, run the example with:
-
-```bash
-uv run getting-started/06-voice-agent.py -t twilio -x NGROK_HOST_NAME
-```
-
-## Directory Structure
-
-### [`getting-started/`](./getting-started/)
-
-Progressive introduction to Pipecat, from minimal TTS to a full voice agent with function calling.
-
-### [`voice/`](./voice/)
-
-Full STT + LLM + TTS voice agent pipelines showcasing different speech service providers (Deepgram, ElevenLabs, Cartesia, etc.)
-
-### [`function-calling/`](./function-calling/)
-
-Function calling with different LLM providers (OpenAI, Anthropic, Google, etc.)
-
-### [`transcription/`](./transcription/)
-
-Speech-to-text examples with various STT providers.
-
-### [`vision/`](./vision/)
-
-Image description and vision capabilities with different multimodal LLMs.
-
-### [`realtime/`](./realtime/)
-
-Realtime and multimodal live APIs (OpenAI Realtime, Gemini Live, AWS Nova Sonic, Ultravox, Grok).
-
-### [`persistent-context/`](./persistent-context/)
-
-Maintaining conversation context across sessions with different providers.
-
-### [`context-summarization/`](./context-summarization/)
-
-Summarizing conversation context to manage token limits.
-
-### [`update-settings/`](./update-settings/)
-
-Changing service settings at runtime, organized by service type:
-
- **[`stt/`](./update-settings/stt/)** — Speech-to-text settings
- **[`tts/`](./update-settings/tts/)** — Text-to-speech settings
- **[`llm/`](./update-settings/llm/)** — LLM settings
-
-### [`turn-management/`](./turn-management/)
-
-Turn detection, interruption handling, and user input management.
-
-### [`thinking-and-mcp/`](./thinking-and-mcp/)
-
-LLM thinking/reasoning modes and MCP (Model Context Protocol) tool server integration.
-
-### [`transports/`](./transports/)
-
-Transport layer examples (WebRTC, Daily, LiveKit).
-
-### [`video-avatar/`](./video-avatar/)
-
-Video avatar integrations (Tavus, HeyGen, Simli, LemonSlice).
-
-### [`video-processing/`](./video-processing/)
-
-Video processing, mirroring, GStreamer, and custom video tracks.
-
-### [`audio/`](./audio/)
-
-Audio recording, background sounds, and sound effects.
-
-### [`observability/`](./observability/)
-
-Pipeline monitoring: observers, heartbeats, and Sentry metrics.
-
-### [`rag/`](./rag/)
-
-Retrieval-augmented generation, grounding, and long-term memory (Mem0, Gemini).
-
-### [`features/`](./features/)
-
-Miscellaneous features: wake phrases, live translation, service switching, voice switching, and more.
-
-## Advanced Usage
-
-### Customizing Network Settings
-
-```bash
-uv run python <example-name> --host 0.0.0.0 --port 8080
-```
-
-### Troubleshooting
-
- **No audio/video**: Check browser permissions for microphone and camera
- **Connection errors**: Verify API keys in `.env` file
- **Port conflicts**: Use `--port` to change the port
-
-For more examples, visit the [pipecat-examples repository](https://github.com/pipecat-ai/pipecat-examples).
+- Production-ready applications
+- Multi-platform client implementations
+- Telephony integrations
+- Multimodal and creative applications
+- Deployment and monitoring examples
--- a/examples/foundational/01-say-one-thing-piper.py
+++ b/examples/foundational/01-say-one-thing-piper.py
@@ -0,0 +1,69 @@
+#
+# Copyright (c) 2024-2026, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import os
+
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.frames.frames import EndFrame, TTSSpeakFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineTask
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
+from pipecat.services.piper.tts import PiperHttpTTSService
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
+
+load_dotenv(override=True)
+
+
+# We use lambdas to defer transport parameter creation until the transport
+# type is selected at runtime.
+transport_params = {
+    "daily": lambda: DailyParams(audio_out_enabled=True),
+    "twilio": lambda: FastAPIWebsocketParams(audio_out_enabled=True),
+    "webrtc": lambda: TransportParams(audio_out_enabled=True),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    logger.info(f"Starting bot")
+
+    # Create an HTTP session
+    async with aiohttp.ClientSession() as session:
+        tts = PiperHttpTTSService(
+            base_url=os.getenv("PIPER_BASE_URL"), aiohttp_session=session, sample_rate=24000
+        )
+
+        task = PipelineTask(
+            Pipeline([tts, transport.output()]),
+            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+        )
+
+        # Register an event handler so we can play the audio when the client joins
+        @transport.event_handler("on_client_connected")
+        async def on_client_connected(transport, client):
+            await task.queue_frames([TTSSpeakFrame(f"Hello there!"), EndFrame()])
+
+        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+        await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()
--- a/examples/foundational/01-say-one-thing-rime.py
+++ b/examples/foundational/01-say-one-thing-rime.py
@@ -0,0 +1,70 @@
+#
+# Copyright (c) 2024-2026, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import os
+
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.frames.frames import EndFrame, TTSSpeakFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineTask
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
+from pipecat.services.rime.tts import RimeHttpTTSService
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
+from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
+
+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_out_enabled=True),
+    "twilio": lambda: FastAPIWebsocketParams(audio_out_enabled=True),
+    "webrtc": lambda: TransportParams(audio_out_enabled=True),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    logger.info(f"Starting bot")
+
+    # Create an HTTP session
+    async with aiohttp.ClientSession() as session:
+        tts = RimeHttpTTSService(
+            api_key=os.getenv("RIME_API_KEY", ""),
+            voice_id="rex",
+            aiohttp_session=session,
+        )
+
+        task = PipelineTask(
+            Pipeline([tts, transport.output()]),
+            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+        )
+
+        # Register an event handler so we can play the audio when the client joins
+        @transport.event_handler("on_client_connected")
+        async def on_client_connected(transport, client):
+            await task.queue_frames([TTSSpeakFrame(f"Hello there!"), EndFrame()])
+
+        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+        await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()
--- a/examples/getting-started/01-say-one-thing.py
+++ b/examples/getting-started/01-say-one-thing.py
@@ -37,9 +37,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):

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

    task = PipelineTask(
--- a/examples/getting-started/01a-local-audio.py
+++ b/examples/getting-started/01a-local-audio.py
@@ -29,9 +29,7 @@ async def main():

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

    pipeline = Pipeline([tts, transport.output()])
--- a/examples/foundational/01b-livekit-audio.py
+++ b/examples/foundational/01b-livekit-audio.py
@@ -0,0 +1,62 @@
+#
+# Copyright (c) 2024-2026, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import asyncio
+import os
+import sys
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.frames.frames import TTSSpeakFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineTask
+from pipecat.runner.livekit import configure
+from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.transports.livekit.transport import LiveKitParams, LiveKitTransport
+
+load_dotenv(override=True)
+
+logger.remove(0)
+logger.add(sys.stderr, level="DEBUG")
+
+
+async def main():
+    (url, token, room_name) = await configure()
+
+    transport = LiveKitTransport(
+        url=url,
+        token=token,
+        room_name=room_name,
+        params=LiveKitParams(audio_out_enabled=True),
+    )
+
+    tts = CartesiaTTSService(
+        api_key=os.getenv("CARTESIA_API_KEY"),
+        voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
+    )
+
+    runner = PipelineRunner()
+
+    task = PipelineTask(Pipeline([tts, transport.output()]))
+
+    # Register an event handler so we can play the audio when the
+    # participant joins.
+    @transport.event_handler("on_first_participant_joined")
+    async def on_first_participant_joined(transport, participant_id):
+        await asyncio.sleep(1)
+        await task.queue_frame(
+            TTSSpeakFrame(
+                "Hello there! How are you doing today? Would you like to talk about the weather?"
+            )
+        )
+
+    await runner.run(task)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
--- a/examples/foundational/01c-nvidia-riva-tts.py
+++ b/examples/foundational/01c-nvidia-riva-tts.py
@@ -0,0 +1,64 @@
+#
+# 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.frames.frames import EndFrame, TTSSpeakFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineTask
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
+from pipecat.services.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
+
+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_out_enabled=True),
+    "twilio": lambda: FastAPIWebsocketParams(audio_out_enabled=True),
+    "webrtc": lambda: TransportParams(audio_out_enabled=True),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    logger.info(f"Starting bot")
+
+    tts = NvidiaTTSService(api_key=os.getenv("NVIDIA_API_KEY"))
+
+    task = PipelineTask(
+        Pipeline([tts, transport.output()]),
+        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+    )
+
+    # Register an event handler so we can play the audio when the client joins
+    @transport.event_handler("on_client_connected")
+    async def on_client_connected(transport, client):
+        await task.queue_frames([TTSSpeakFrame(f"Hello there!"), EndFrame()])
+
+    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+    await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()
--- a/examples/getting-started/02-llm-say-one-thing.py
+++ b/examples/getting-started/02-llm-say-one-thing.py
@@ -39,16 +39,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):

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

    llm = OpenAILLMService(
        api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMService.Settings(
-            system_instruction="You are a helpful assistant in a voice conversation. Your responses will be spoken aloud, so avoid emojis, bullet points, or other formatting that can't be spoken. Respond to what the user said in a creative, helpful, and brief way.",
-        ),
+        system_instruction="You are an LLM in a WebRTC session, and this is a 'hello world' demo.",
    )

    task = PipelineTask(
@@ -60,7 +56,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    @transport.event_handler("on_client_connected")
    async def on_client_connected(transport, client):
        context = LLMContext()
-        context.add_message({"role": "developer", "content": "Say hello to the world."})
+        context.add_message({"role": "system", "content": "Say hello to the world."})
        await task.queue_frames([LLMContextFrame(context), EndFrame()])

    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
--- a/examples/foundational/03-still-frame.py
+++ b/examples/foundational/03-still-frame.py
@@ -0,0 +1,82 @@
+#
+# Copyright (c) 2024-2026, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import os
+
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.frames.frames import TextFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineTask
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
+from pipecat.services.fal.image import FalImageGenService
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
+
+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(
+        video_out_enabled=True,
+        video_out_width=1024,
+        video_out_height=1024,
+    ),
+    "webrtc": lambda: TransportParams(
+        video_out_enabled=True,
+        video_out_width=1024,
+        video_out_height=1024,
+    ),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    logger.info(f"Starting bot")
+
+    # Create an HTTP session
+    async with aiohttp.ClientSession() as session:
+        imagegen = FalImageGenService(
+            params=FalImageGenService.InputParams(image_size="square_hd"),
+            aiohttp_session=session,
+            key=os.getenv("FAL_KEY"),
+        )
+
+        task = PipelineTask(
+            Pipeline([imagegen, transport.output()]),
+            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+        )
+
+        # Register an event handler so we can play the audio when the client joins
+        @transport.event_handler("on_client_connected")
+        async def on_client_connected(transport, client):
+            await task.queue_frame(TextFrame("a cat in the style of picasso"))
+
+        @transport.event_handler("on_client_disconnected")
+        async def on_client_disconnected(transport, client):
+            logger.info(f"Client disconnected")
+            await task.cancel()
+
+        runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+        await runner.run(task)
+
+
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()
--- a/examples/getting-started/03a-local-still-frame.py
+++ b/examples/getting-started/03a-local-still-frame.py
@@ -37,9 +37,7 @@ async def main():
        )

        imagegen = FalImageGenService(
-            settings=FalImageGenService.Settings(
-                image_size="square_hd",
-            ),
+            params=FalImageGenService.InputParams(image_size="square_hd"),
            aiohttp_session=session,
            key=os.getenv("FAL_KEY"),
        )
--- a/examples/foundational/03b-still-frame-imagen.py
+++ b/examples/foundational/03b-still-frame-imagen.py
--- a/examples/foundational/04-transports-small-webrtc.py
+++ b/examples/foundational/04-transports-small-webrtc.py
@@ -67,16 +67,12 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):

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

    llm = OpenAILLMService(
        api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMService.Settings(
-            system_instruction="You are a helpful assistant in a voice conversation. Your responses will be spoken aloud, so avoid emojis, bullet points, or other formatting that can't be spoken. Respond to what the user said in a creative, helpful, and brief way.",
-        ),
+        system_instruction="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()
@@ -109,9 +105,7 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        # Kick off the conversation.
-        context.add_message(
-            {"role": "developer", "content": "Please introduce yourself to the user."}
-        )
+        context.add_message({"role": "system", "content": "Please introduce yourself to the user."})
        await task.queue_frames([LLMRunFrame()])

    @transport.event_handler("on_client_disconnected")
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
James Hush	97c7820372	Fix copyright	2026-03-05 11:17:02 +08:00
James Hush	7d957292e0	Rename to 57, extract content check into helper method	2026-03-05 11:14:36 +08:00
James Hush	218ab01070	Use ParallelPipeline for content filter in example 07 Run the content filter concurrently with LLM text generation using ParallelPipeline, with a ContentFilterGate that blocks output until the filter approves or rejects the content.	2026-03-05 11:08:56 +08:00
James Hush	9dbd923cfc	Make separate file	2026-03-05 10:41:53 +08:00
				`@@ -0,0 +1 @@`
				- ⚠️ Updated `DeepgramSTTService` to use `deepgram-sdk` v6. The `LiveOptions` class was removed from the SDK and is now provided by pipecat directly; import it from `pipecat.services.deepgram.stt` instead of `deepgram`.
				`@@ -0,0 +1 @@`
				- Fixed `DeepgramSTTService` keepalive ping timeout disconnections. The deepgram-sdk v6 removed automatic keepalive; pipecat now sends explicit `KeepAlive` messages every 5 seconds, within the recommended 3–5 second interval before Deepgram's 10-second inactivity timeout.
				`@@ -0,0 +1 @@`
				- Fixed `BufferError: Existing exports of data: object cannot be re-sized` in `AICFilter` caused by holding a `memoryview` on the mutable audio buffer across async yield points.
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				- `max_context_tokens` and `max_unsummarized_messages` in `LLMAutoContextSummarizationConfig` (and deprecated `LLMContextSummarizationConfig`) can now be set to `None` independently to disable that summarization threshold. At least one must remain set.
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				- Added optional `timeout_secs` parameter to `register_function()` and `register_direct_function()` for per-tool function call timeout control, overriding the global `function_call_timeout_secs` default.
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				- Added `cloud-audio-only` recording option to Daily transport's `enable_recording` property.
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				- Updated foundational examples to use `system_instruction` on LLM services instead of adding system messages to `LLMContext`.
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				- Updated `onnxruntime` from 1.23.2 to 1.24.3, adding support for Python 3.14.
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				`- MCPClient now requires async with MCPClient(...) as mcp: or explicit start()/close() calls to manage the connection lifecycle.`