Compare commits
1 Commits
filipi/asy
...
aleix/para
| Author | SHA1 | Date | |
|---|---|---|---|
|
644babe241 |
@@ -144,7 +144,7 @@ class InputParams(BaseModel):
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#### Examples
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Validated against `examples/07-interruptible.py`:
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Validated against `examples/foundational/07-interruptible.py`:
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|
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- Proper `create_transport()` usage
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- Correct pipeline structure
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|
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2
.github/workflows/python-compatibility.yaml
vendored
2
.github/workflows/python-compatibility.yaml
vendored
@@ -42,7 +42,7 @@ jobs:
|
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|
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- name: Test uv sync with all extras
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run: |
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uv sync --group dev --all-extras
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uv sync --group dev --all-extras --no-extra krisp
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- name: Verify installation
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run: |
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51
.github/workflows/sync-quickstart.yaml
vendored
Normal file
51
.github/workflows/sync-quickstart.yaml
vendored
Normal file
@@ -0,0 +1,51 @@
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name: Sync Quickstart to pipecat-quickstart repo
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on:
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push:
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branches: [main]
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paths:
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- 'examples/quickstart/**'
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workflow_dispatch: # Manual trigger
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jobs:
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sync-quickstart:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout main repo
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uses: actions/checkout@v4
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with:
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fetch-depth: 0
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- name: Checkout quickstart repo
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uses: actions/checkout@v4
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with:
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repository: pipecat-ai/pipecat-quickstart
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token: ${{ secrets.QUICKSTART_SYNC_TOKEN }}
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path: quickstart-repo
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- name: Sync files (excluding uv.lock and README.md)
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run: |
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# Copy all files except uv.lock and README.md
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find examples/quickstart -type f \
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-not -name "README.md" \
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-not -name "uv.lock" \
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-exec cp {} quickstart-repo/ \;
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- name: Commit and push changes
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run: |
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cd quickstart-repo
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git config user.name "GitHub Action"
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git config user.email "action@github.com"
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git add .
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# Only commit if there are changes
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if ! git diff --staged --quiet; then
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git commit -m "Sync from pipecat main repo
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|
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Updated files from examples/quickstart/
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Commit: ${{ github.sha }}
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"
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git push
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else
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echo "No changes to sync"
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fi
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@@ -1,13 +1,8 @@
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repos:
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- repo: local
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- repo: https://github.com/astral-sh/ruff-pre-commit
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rev: v0.12.1
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hooks:
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- id: ruff
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name: ruff
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entry: uv run ruff check --fix
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language: system
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types: [python]
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language_version: python3
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args: [--fix]
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- id: ruff-format
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name: ruff-format
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entry: uv run ruff format
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language: system
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types: [python]
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@@ -11,7 +11,7 @@ build:
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jobs:
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post_install:
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- pip install uv
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- UV_PROJECT_ENVIRONMENT=$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
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- 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
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sphinx:
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configuration: docs/api/conf.py
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302
CHANGELOG.md
302
CHANGELOG.md
@@ -7,308 +7,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
|
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|
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<!-- towncrier release notes start -->
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## [0.0.108] - 2026-03-27
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### Added
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- Added `SarvamLLMService` with support for `sarvam-30b`, `sarvam-30b-16k`,
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`sarvam-105b` and `sarvam-105b-32k`.
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(PR [#3978](https://github.com/pipecat-ai/pipecat/pull/3978))
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- Added `on_turn_context_created(context_id)` hook to `TTSService`. Override
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this to perform provider-specific setup (e.g. eagerly opening a server-side
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context) before text starts flowing. Called each time a new turn context ID
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is created.
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||||
(PR [#4013](https://github.com/pipecat-ai/pipecat/pull/4013))
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||||
|
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- Added `XAIHttpTTSService` for text-to-speech using xAI's HTTP TTS API.
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||||
(PR [#4031](https://github.com/pipecat-ai/pipecat/pull/4031))
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||||
|
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- Added support for "developer" role messages in conversation context across
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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).
|
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(PR [#4089](https://github.com/pipecat-ai/pipecat/pull/4089))
|
||||
|
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- Added `SmallestTTSService`, a WebSocket-based TTS service integration with
|
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Smallest AI's Waves API. Supports the Lightning v2 and v3.1 models with
|
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configurable voice, language, speed, consistency, similarity, and enhancement
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||||
settings.
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||||
(PR [#4092](https://github.com/pipecat-ai/pipecat/pull/4092))
|
||||
|
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- Added warnings in turn stop strategies when `VADParams.stop_secs` differs
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from the recommended default (0.2s) or when `stop_secs >= STT p99 latency`,
|
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which collapses the STT wait timeout to 0s and may cause delayed turn
|
||||
detection. The warnings guide developers to re-run the
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||||
[stt-benchmark](https://github.com/pipecat-ai/stt-benchmark) with their VAD
|
||||
settings.
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(PR [#4115](https://github.com/pipecat-ai/pipecat/pull/4115))
|
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|
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- Added `domain` parameter to `AssemblyAISTTSettings` for specialized
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recognition modes such as Medical Mode (`domain="medical-v1"`).
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(PR [#4117](https://github.com/pipecat-ai/pipecat/pull/4117))
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|
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- Added `NovitaLLMService` for using Novita AI's LLM models via their
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OpenAI-compatible API.
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||||
(PR [#4119](https://github.com/pipecat-ai/pipecat/pull/4119))
|
||||
|
||||
- Added `cleanup()` method to `VADAnalyzer` and `VADController` so VAD analyzer
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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
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||||
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
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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
|
||||
@@ -225,17 +225,6 @@ Vision services process images and provide analysis such as descriptions, object
|
||||
|
||||
### 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:**
|
||||
@@ -417,9 +406,8 @@ 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
|
||||
|
||||
|
||||
35
README.md
35
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
|
||||
|
||||
@@ -80,25 +80,25 @@ 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>
|
||||
<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), [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), [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), [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), [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) |
|
||||
| Community | [Browse community integrations →](https://docs.pipecat.ai/server/services/community-integrations) |
|
||||
|
||||
📚 [View full services documentation →](https://docs.pipecat.ai/server/services/supported-services)
|
||||
|
||||
@@ -142,7 +142,7 @@ 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
|
||||
@@ -166,6 +166,7 @@ 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 \
|
||||
```
|
||||
|
||||
|
||||
1
changelog/3978.added.md
Normal file
1
changelog/3978.added.md
Normal file
@@ -0,0 +1 @@
|
||||
- Added `SarvamLLMService` with support for `sarvam-30b`, `sarvam-30b-16k`, `sarvam-105b` and `sarvam-105b-32k`
|
||||
1
changelog/4013.added.md
Normal file
1
changelog/4013.added.md
Normal file
@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4013.changed.md
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1
changelog/4013.changed.md
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@@ -0,0 +1 @@
|
||||
- Added context prewarming path for `InworldTTSService` to improve first audio latency
|
||||
1
changelog/4022.changed.md
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1
changelog/4022.changed.md
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@@ -0,0 +1 @@
|
||||
- Added `KrispVivaVadAnalyzer` for Voice Activity Detection using the Krisp VIVA SDK (requires `krisp_audio`).
|
||||
1
changelog/4028.changed.md
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1
changelog/4028.changed.md
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@@ -0,0 +1 @@
|
||||
- Modeified `InworldTTSService` to close context at end of turn instead of relying on idle timeout
|
||||
1
changelog/4031.added.md
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1
changelog/4031.added.md
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@@ -0,0 +1 @@
|
||||
- Added `XAIHttpTTSService` for text-to-speech using xAI's HTTP TTS API.
|
||||
1
changelog/4078.changed.md
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1
changelog/4078.changed.md
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@@ -0,0 +1 @@
|
||||
- Added Gemini 3 support to the Gemini Live service.
|
||||
1
changelog/4084.changed.md
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1
changelog/4084.changed.md
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@@ -0,0 +1 @@
|
||||
- `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.
|
||||
1
changelog/4089.added.md
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1
changelog/4089.added.md
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@@ -0,0 +1 @@
|
||||
- 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).
|
||||
1
changelog/4089.changed.md
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1
changelog/4089.changed.md
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@@ -0,0 +1 @@
|
||||
- ⚠️ `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.
|
||||
1
changelog/4089.fixed.2.md
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1
changelog/4089.fixed.2.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4089.fixed.md
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1
changelog/4089.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4092.added.md
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1
changelog/4092.added.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4113.changed.md
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1
changelog/4113.changed.md
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@@ -0,0 +1 @@
|
||||
- Fixed `InworldTtsService` to fallback to full text when TTS timestamps are not received
|
||||
1
changelog/4115.added.md
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1
changelog/4115.added.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4117.added.md
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1
changelog/4117.added.md
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@@ -0,0 +1 @@
|
||||
- Added `domain` parameter to `AssemblyAISTTSettings` for specialized recognition modes such as Medical Mode (`domain="medical-v1"`).
|
||||
1
changelog/4119.added.md
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1
changelog/4119.added.md
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@@ -0,0 +1 @@
|
||||
- Added `NovitaLLMService` for using Novita AI's LLM models via their OpenAI-compatible API.
|
||||
1
changelog/4120.added.md
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1
changelog/4120.added.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4125.fixed.md
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1
changelog/4125.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4126.fixed.md
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1
changelog/4126.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4127.fixed.md
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1
changelog/4127.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4128.added.md
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1
changelog/4128.added.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4130.changed.md
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1
changelog/4130.changed.md
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@@ -0,0 +1 @@
|
||||
- ⚠️ 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.
|
||||
1
changelog/4135.fixed.md
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1
changelog/4135.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4136.changed.2.md
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1
changelog/4136.changed.2.md
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@@ -0,0 +1 @@
|
||||
- Bumped `nvidia-riva-client` minimum version to `>=2.25.1`.
|
||||
1
changelog/4136.changed.md
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1
changelog/4136.changed.md
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@@ -0,0 +1 @@
|
||||
- Upgraded `protobuf` from 5.x to 6.x (`>=6.31.1,<7`).
|
||||
1
changelog/4137.changed.md
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1
changelog/4137.changed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
@@ -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`.
|
||||
1
changelog/4142.changed.md
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1
changelog/4142.changed.md
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@@ -0,0 +1 @@
|
||||
- `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`).
|
||||
1
changelog/4142.deprecated.md
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1
changelog/4142.deprecated.md
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@@ -0,0 +1 @@
|
||||
- `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.
|
||||
1
changelog/4143.added.md
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1
changelog/4143.added.md
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@@ -0,0 +1 @@
|
||||
- Added `DeepgramFluxSageMakerSTTService` for running Deepgram Flux speech-to-text on AWS SageMaker endpoints. Use with `ExternalUserTurnStrategies` to take advantage of Flux's turn detection.
|
||||
1
changelog/4145.fixed.2.md
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1
changelog/4145.fixed.2.md
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@@ -0,0 +1 @@
|
||||
- Fixed websocket TTS word timestamps so interrupted contexts cannot leak stale words or backward PTS values into later turns.
|
||||
1
changelog/4145.fixed.md
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1
changelog/4145.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4145.removed.md
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1
changelog/4145.removed.md
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@@ -0,0 +1 @@
|
||||
- ⚠️ `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.
|
||||
1
changelog/4146.fixed.md
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1
changelog/4146.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4147.fixed.md
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1
changelog/4147.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4149.fixed.md
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1
changelog/4149.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4151.fixed.md
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1
changelog/4151.fixed.md
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@@ -0,0 +1 @@
|
||||
- Fixed `LiveKitOutputTransport` not clearing the `rtc.AudioSource` internal buffer on interruption, causing the bot to continue speaking for several seconds after being interrupted.
|
||||
1
changelog/4152.fixed.md
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1
changelog/4152.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4153.fixed.md
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1
changelog/4153.fixed.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4154.removed.md
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1
changelog/4154.removed.md
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@@ -0,0 +1 @@
|
||||
- Removed `SambaNovaSTTService`. SambaNova no longer offers speech-to-text audio models. Use another STT provider instead.
|
||||
1
changelog/4156.added.md
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1
changelog/4156.added.md
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@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4156.changed.md
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1
changelog/4156.changed.md
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@@ -0,0 +1 @@
|
||||
- ⚠️ Bumped `mem0ai` dependency from `~=0.1.94` to `>=1.0.8,<2`. Users of the `mem0` extra will need to update their mem0ai package.
|
||||
1
changelog/4156.fixed.2.md
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1
changelog/4156.fixed.2.md
Normal file
@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4156.fixed.md
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1
changelog/4156.fixed.md
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@@ -0,0 +1 @@
|
||||
- `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.
|
||||
1
changelog/4161.fixed.md
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1
changelog/4161.fixed.md
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@@ -0,0 +1 @@
|
||||
- Added missing `on_dtmf_event` callback to `LemonSliceTransportClient.setup()` `DailyCallbacks` construction, fixing a `ValidationError` at pipeline setup time.
|
||||
1
changelog/4167.fixed.2.md
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1
changelog/4167.fixed.2.md
Normal file
@@ -0,0 +1 @@
|
||||
- Fixed an issue in `InworldTTSService` where, in cases of fast interruption, we would continue receiving audio from the previous context.
|
||||
1
changelog/4167.fixed.md
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1
changelog/4167.fixed.md
Normal file
@@ -0,0 +1 @@
|
||||
- Fixed a word timestamp interleaving issue in `InworldTTSService` when processing multiple sentences.
|
||||
1
changelog/4172.fixed.md
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1
changelog/4172.fixed.md
Normal file
@@ -0,0 +1 @@
|
||||
- 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.
|
||||
1
changelog/4172.performance.md
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1
changelog/4172.performance.md
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@@ -0,0 +1 @@
|
||||
- `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.
|
||||
1
changelog/4174.fixed.md
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1
changelog/4174.fixed.md
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@@ -0,0 +1 @@
|
||||
- ⚠️ 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.
|
||||
1
changelog/4176.fixed.md
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1
changelog/4176.fixed.md
Normal file
@@ -0,0 +1 @@
|
||||
- Fixed RTVI events not being delivered to clients when using WebSocket transports. `ProtobufFrameSerializer` now sets `ignore_rtvi_messages=False` by default.
|
||||
@@ -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`.
|
||||
@@ -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.
|
||||
@@ -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.
|
||||
@@ -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.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `observers` field from `PipelineParams`. Pass observers directly to `PipelineTask` constructor instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `on_pipeline_ended`, `on_pipeline_cancelled`, and `on_pipeline_stopped` events from `PipelineTask`. Use `on_pipeline_finished` instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `AudioBufferProcessor.user_continuous_stream` parameter. Use `user_audio_passthrough` instead.
|
||||
@@ -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.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `RTVIObserver.errors_enabled` parameter.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `vad_enabled` and `vad_audio_passthrough` transport params.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `TTSService.say()`. Push a `TTSSpeakFrame` into the pipeline instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `DailyRunner.configure_with_args()`. Use `PipelineRunner` with `RunnerArguments` instead.
|
||||
@@ -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.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `FrameProcessor.wait_for_task()`. Use `create_task()` and manage tasks with the built-in `TaskManager` instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `KrispFilter`. The `krisp` extra has been removed from `pyproject.toml`.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `LLMService.request_image_frame()`. Push a `UserImageRequestFrame` instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `create_default_resampler()` from `pipecat.audio.utils`.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `FalSmartTurnAnalyzer` and `LocalSmartTurnAnalyzer`.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated transport frames: `TransportMessageFrame`, `TransportMessageUrgentFrame`, `InputTransportMessageUrgentFrame`, `DailyTransportMessageFrame`, and `DailyTransportMessageUrgentFrame`. Use `OutputTransportMessageFrame`, `OutputTransportMessageUrgentFrame`, `InputTransportMessageFrame`, `DailyOutputTransportMessageFrame`, and `DailyOutputTransportMessageUrgentFrame` instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `KeypadEntryFrame` alias.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated interruption frames: `StartInterruptionFrame` and `BotInterruptionFrame`. Use `InterruptionFrame` and `InterruptionTaskFrame` instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `LLMService.start_callback` parameter. Register an `on_llm_response_start` event handler instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed single-argument function call support from `LLMService`. Functions must use named parameters instead of a single `arguments` parameter.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed `NoisereduceFilter`. Use system-level noise reduction or a service-based alternative instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `pipecat.services.riva` package. Use `pipecat.services.nvidia.stt` and `pipecat.services.nvidia.tts` instead (`RivaSTTService` → `NvidiaSTTService`, `RivaTTSService` → `NvidiaTTSService`).
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `pipecat.services.nim` package. Use `pipecat.services.nvidia.llm` instead (`NimLLMService` → `NvidiaLLMService`).
|
||||
@@ -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`).
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `pipecat.services.aws_nova_sonic` package. Use `pipecat.services.aws.nova_sonic` instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `pipecat.services.openai_realtime` package. Use `pipecat.services.openai.realtime` instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `OpenAIRealtimeBetaLLMService` and `AzureRealtimeBetaLLMService`. Use `OpenAIRealtimeLLMService` and `AzureRealtimeLLMService` from `pipecat.services.openai.realtime` and `pipecat.services.azure.realtime` instead.
|
||||
@@ -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.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `GoogleLLMOpenAIBetaService` from `pipecat.services.google.openai`. Use `GoogleLLMService` from `pipecat.services.google.llm` instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `pipecat.services.google.llm_vertex` module. Use `pipecat.services.google.vertex.llm` instead.
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ Removed deprecated `pipecat.services.google.gemini_live.llm_vertex` module. Use `pipecat.services.google.gemini_live.vertex.llm` instead.
|
||||
@@ -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.
|
||||
@@ -1 +0,0 @@
|
||||
- Changed `GrokLLMService` default model from `grok-3-beta` to `grok-3`, now that the model is generally available.
|
||||
@@ -1 +0,0 @@
|
||||
- `GoogleImageGenService` now defaults to `imagen-4.0-generate-001` (previously `imagen-3.0-generate-002`).
|
||||
@@ -1 +0,0 @@
|
||||
- ⚠️ `BaseOpenAILLMService.get_chat_completions()` now accepts an `LLMContext` instead of `OpenAILLMInvocationParams`. If you override this method, update your signature accordingly.
|
||||
@@ -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)
|
||||
```
|
||||
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Reference in New Issue
Block a user