pypi pipecat-ai 1.0.0
v1.0.0
on Python PyPI

7 hours ago

Migration guide: https://docs.pipecat.ai/pipecat/migration/migration-1.0

Added

  • Updated LemonSlice transport:

    • Added on_avatar_connected and on_avatar_disconnected events triggered when the avatar joins and leaves the room.
    • Added api_url parameter to LemonSliceNewSessionRequest to allow overriding the LemonSlice API endpoint.
    • Added support for passing arbitrary named parameters to the LemonSlice API endpoint.
      (PR #3995)

  • Added Inworld Realtime LLM service with WebSocket-based cascade STT/LLM/TTS, semantic VAD, function calling, and Router support.
    (PR #4140)

  • ⚠️ 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.
    (PR #4141)

  • Added group_parallel_tools parameter to LLMService (default True). When True, all function calls from the same LLM response batch share a group ID and the LLM is triggered exactly once after the last call completes. Set to False to trigger inference independently for each function call result as it arrives.
    (PR #4217)

  • Added async function call support to register_function() and register_direct_function() via cancel_on_interruption=False. When set to False, the LLM continues the conversation immediately without waiting for the function result. The result is injected back into the context as a developer message once available, triggering a new LLM inference at that point.
    (PR #4217)

  • Added enable_prompt_caching setting to AWSBedrockLLMService for Bedrock ConverseStream prompt caching.
    (PR #4219)

  • Added support for streaming intermediate results from async function calls. Call result_callback multiple times with properties=FunctionCallResultProperties(is_final=False) to push incremental updates, then call it once more (with is_final=True, the default) to deliver the final result. Only valid for functions registered with cancel_on_interruption=False.
    (PR #4230)

  • Added LLMMessagesTransformFrame to facilitate programmatically editing context in a frame-based way.

    The previous approach required the caller to directly grab a reference to the context object, grab a "snapshot" of its messages at that point in time, transform the messages, and then push an LLMMessagesUpdateFrame with the transformed messages. This approach can lead to problems: what if there had already been a change to the context queued in the pipeline? The transformed messages would simply overwrite it without consideration.
    (PR #4231)

  • The development runner now exports a module-level app FastAPI instance (from pipecat.runner.run import app) so you can register custom routes before calling main().
    (PR #4234)

  • ToolsSchema now accepts custom_tools for OpenAI LLM services (OpenAILLMService, OpenAIResponsesLLMService, OpenAIResponsesHttpLLMService, and OpenAIRealtimeLLMService), letting you pass provider-specific tools like tool_search alongside standard function tools.
    (PR #4248)

  • Added enhancements to NvidiaTTSService:

    • Cross-sentence stitching: multiple sentences within an LLM turn are fed into a single SynthesizeOnline gRPC stream for seamless audio across sentence boundaries (requires Magpie TTS model v1.7.0+).
    • custom_dictionary and encoding parameters for IPA-based custom pronunciation and output audio encoding.
    • Metrics generation (can_generate_metrics returns true) and stop_all_metrics() when an audio context is interrupted.
    • gRPC error handling around synthesis config retrieval (GetRivaSynthesisConfig).
      (PR #4249)

  • Added MistralTTSService for streaming text-to-speech using Mistral's Voxtral TTS API (voxtral-mini-tts-2603). Supports SSE-based audio streaming with automatic resampling from the API's native 24kHz to any requested sample rate. Requires the mistral optional extra (pip install pipecat-ai[mistral]).
    (PR #4251)

  • Added truncate_large_values parameter to LLMContext.get_messages(). When True, returns compact deep copies of messages with binary data (base64 images, audio) replaced by short placeholders and long string values in LLM-specific messages recursively truncated. Useful for serialization, logging, and debugging tools.
    (PR #4272)

  • CartesiaSTTService now supports runtime settings updates (e.g. changing language or model via STTUpdateSettingsFrame). The service automatically reconnects with the new parameters. Previously, settings updates were silently ignored.
    (PR #4282)

  • Added pcm_32000 and pcm_48000 sample rate support to ElevenLabs TTS services.
    (PR #4293)

  • Added enable_logging parameter to ElevenLabsHttpTTSService. Set to False to enable zero retention mode (enterprise only).
    (PR #4293)

Changed

  • Updated onnxruntime from 1.23.2 to 1.24.3, adding support for Python 3.14.
    (PR #3984)

  • MCPClient now requires async with MCPClient(...) as mcp: or explicit start()/close() calls to manage the connection lifecycle.
    (PR #4034)

  • ⚠️ 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.
    (PR #4192)

  • WebsocketService reconnection errors are now non-fatal. When a websocket service exhausts its reconnection attempts (either via exponential backoff or quick failure detection), it emits a non-fatal ErrorFrame instead of a fatal one. This allows application-level failover (e.g. ServiceSwitcher) to handle the failure instead of killing the entire pipeline.
    (PR #4201)

  • Changed GrokLLMService default model from grok-3-beta to grok-3, now that the model is generally available.
    (PR #4209)

  • GoogleImageGenService now defaults to imagen-4.0-generate-001 (previously imagen-3.0-generate-002).
    (PR #4213)

  • ⚠️ BaseOpenAILLMService.get_chat_completions() now accepts an LLMContext instead of OpenAILLMInvocationParams. If you override this method, update your signature accordingly.
    (PR #4215)

  • When multiple function calls are returned in a single LLM response, by default (when group_parallel_tools=True) the LLM is now triggered exactly once after the last call in the batch completes, rather than waiting for all function calls.
    (PR #4217)

  • ⚠️ 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.
    (PR #4224)

  • Updated NvidiaTTSService:

    • Made api_key optional for local NIM deployments.
    • Voice, language, and quality can be updated without reconnecting the gRPC client; new values take effect on the next synthesis turn, not for the current turn's in-flight requests.
    • Replaced per-sentence synchronous synthesize_online calls with async queue-backed gRPC streaming.
    • Streaming now uses asyncio tasks with explicit gRPC cancellation on interruption and stale-response filtering when a stream is aborted or replaced.
    • Renamed Riva references to Nemotron Speech in docs and messages.
    • Disabled automatic TTS start frames at the service level (push_start_frame=False) and emit TTSStartedFrame when a stitched synthesis stream is started for a context.
      (PR #4249)

Removed

  • ⚠️ 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.
    (PR #4191)

  • ⚠️ Removed NoisereduceFilter. Use system-level noise reduction or a service-based alternative instead.
    (PR #4204)

  • ⚠️ Removed deprecated vad_enabled and vad_audio_passthrough transport params.
    (PR #4204)

  • ⚠️ 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.
    (PR #4204)

  • ⚠️ Removed FrameProcessor.wait_for_task(). Use create_task() and manage tasks with the built-in TaskManager instead.
    (PR #4204)

  • ⚠️ Removed deprecated transport frames: TransportMessageFrame, TransportMessageUrgentFrame, InputTransportMessageUrgentFrame, DailyTransportMessageFrame, and DailyTransportMessageUrgentFrame. Use OutputTransportMessageFrame, OutputTransportMessageUrgentFrame, InputTransportMessageFrame, DailyOutputTransportMessageFrame, and DailyOutputTransportMessageUrgentFrame instead.
    (PR #4204)

  • ⚠️ Removed create_default_resampler() from pipecat.audio.utils.
    (PR #4204)

  • ⚠️ Removed DailyRunner.configure_with_args(). Use PipelineRunner with RunnerArguments instead.
    (PR #4204)

  • ⚠️ Removed deprecated on_pipeline_ended, on_pipeline_cancelled, and on_pipeline_stopped events from PipelineTask. Use on_pipeline_finished instead.
    (PR #4204)

  • ⚠️ Removed single-argument function call support from LLMService. Functions must use named parameters instead of a single arguments parameter.
    (PR #4204)

  • ⚠️ Removed FalSmartTurnAnalyzer and LocalSmartTurnAnalyzer.
    (PR #4204)

  • ⚠️ Removed RTVIObserver.errors_enabled parameter.
    (PR #4204)

  • ⚠️ 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.
    (PR #4204)

  • ⚠️ Removed deprecated KeypadEntryFrame alias.
    (PR #4204)

  • ⚠️ Removed deprecated interruption frames: StartInterruptionFrame and BotInterruptionFrame. Use InterruptionFrame and InterruptionTaskFrame instead.
    (PR #4204)

  • ⚠️ Removed LLMService.request_image_frame(). Push a UserImageRequestFrame instead.
    (PR #4204)

  • ⚠️ Removed TTSService.say(). Push a TTSSpeakFrame into the pipeline instead.
    (PR #4204)

  • ⚠️ Removed KrispFilter. The krisp extra has been removed from pyproject.toml.
    (PR #4204)

  • ⚠️ Removed AudioBufferProcessor.user_continuous_stream parameter. Use user_audio_passthrough instead.
    (PR #4204)

  • ⚠️ Removed LLMService.start_callback parameter. Register an on_llm_response_start event handler instead.
    (PR #4204)

  • ⚠️ Removed deprecated observers field from PipelineParams. Pass observers directly to PipelineTask constructor instead.
    (PR #4204)

  • ⚠️ Removed deprecated pipecat.services.openai_realtime package. Use pipecat.services.openai.realtime instead.
    (PR #4208)

  • ⚠️ Removed deprecated pipecat.services.google.llm_vertex module. Use pipecat.services.google.vertex.llm instead.
    (PR #4208)

  • ⚠️ Removed deprecated GoogleLLMOpenAIBetaService from pipecat.services.google.openai. Use GoogleLLMService from pipecat.services.google.llm instead.
    (PR #4208)

  • ⚠️ Removed deprecated OpenAIRealtimeBetaLLMService and AzureRealtimeBetaLLMService. Use OpenAIRealtimeLLMService and AzureRealtimeLLMService from pipecat.services.openai.realtime and pipecat.services.azure.realtime instead.
    (PR #4208)

  • ⚠️ 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.
    (PR #4208)

  • ⚠️ 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).
    (PR #4208)

  • ⚠️ Removed deprecated pipecat.services.google.gemini_live.llm_vertex module. Use pipecat.services.google.gemini_live.vertex.llm instead.
    (PR #4208)

  • ⚠️ Removed deprecated pipecat.services.nim package. Use pipecat.services.nvidia.llm instead (NimLLMService → NvidiaLLMService).
    (PR #4208)

  • ⚠️ 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.
    (PR #4208)

  • ⚠️ Removed deprecated pipecat.services.aws_nova_sonic package. Use pipecat.services.aws.nova_sonic instead.
    (PR #4208)

  • ⚠️ Removed deprecated pipecat.services.riva package. Use pipecat.services.nvidia.stt and pipecat.services.nvidia.tts instead (RivaSTTService → NvidiaSTTService, RivaTTSService → NvidiaTTSService).
    (PR #4208)

  • ⚠️ 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).
    (PR #4215)

  • ⚠️ 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.
    (PR #4215)

  • ⚠️ 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: 

    context = OpenAILLMContext(messages, tools)
context_aggregator = llm.create_context_aggregator(context)

    To this: 

    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)

    (PR #4215)

  • ⚠️ 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.
    (PR #4215)

  • ⚠️ Removed GatedOpenAILLMContextAggregator (from pipecat.processors.aggregators.gated_open_ai_llm_context). Use GatedLLMContextAggregator (from pipecat.processors.aggregators.gated_llm_context) instead.
    (PR #4215)

  • ⚠️ 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: 

    context = OpenAILLMContext(messages, tools)
context_aggregator = llm.create_context_aggregator(context)

    To this: 

    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)

    (PR #4215)

  • ⚠️ 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)
      (PR #4220)

  • ⚠️ 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.
    (PR #4225)

  • ⚠️ Removed deprecated pipecat.sync package. Use pipecat.utils.sync instead.
    (PR #4225)

  • ⚠️ Removed deprecated TranscriptionMessage, ThoughtTranscriptionMessage, and TranscriptionUpdateFrame from pipecat.frames.frames.
    (PR #4228)

  • ⚠️ 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.
    (PR #4228)

  • ⚠️ 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.
    (PR #4228)

  • ⚠️ Removed deprecated pipecat.processors.transcript_processor module (TranscriptProcessor, TranscriptProcessorConfig). Use pipeline observers instead.
    (PR #4228)

  • ⚠️ Removed deprecated EmulateUserStartedSpeakingFrame and EmulateUserStoppedSpeakingFrame frames, and the emulated field from UserStartedSpeakingFrame / UserStoppedSpeakingFrame.
    (PR #4228)

  • ⚠️ Removed deprecated interruption_strategies parameter from PipelineParams, StartFrame, and FrameProcessor. Use LLMUserAggregator's user_turn_strategies parameter instead.
    (PR #4228)

  • ⚠️ Removed deprecated pipecat.audio.interruptions module (BaseInterruptionStrategy, MinWordsInterruptionStrategy). Use pipecat.turns.user_start.MinWordsUserTurnStartStrategy with LLMUserAggregator's user_turn_strategies parameter instead.
    (PR #4228)

  • ⚠️ Removed deprecated pipecat.utils.tracing.class_decorators module. Use pipecat.utils.tracing.service_decorators instead.
    (PR #4228)

  • ⚠️ Removed deprecated add_pattern_pair method from PatternPairAggregator. Use add_pattern instead.
    (PR #4228)

  • ⚠️ Removed deprecated UserResponseAggregator class from pipecat.processors.aggregators.user_response. Use LLMUserAggregator instead.
    (PR #4228)

  • ⚠️ Removed ExternalUserTurnStrategies and the automatic fallback to it in LLMUserAggregator when a SpeechControlParamsFrame was received from the transport.
    (PR #4229)

  • ⚠️ 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.
    (PR #4229)

  • ⚠️ Removed deprecated TranscriptionUserTurnStopStrategy alias (deprecated in 0.0.102). Use SpeechTimeoutUserTurnStopStrategy instead.
    (PR #4232)

  • ⚠️ Removed deprecated vad_events setting and should_interrupt parameter from DeepgramSTTService (deprecated in 0.0.99). Use Silero VAD for voice activity detection instead.
    (PR #4232)

  • ⚠️ Removed deprecated send_transcription_frames parameter from OpenAIRealtimeLLMService (deprecated in 0.0.92). Transcription frames are always sent.
    (PR #4232)

  • ⚠️ Removed deprecated UserIdleProcessor (deprecated in 0.0.100). Use LLMUserAggregator with the user_idle_timeout parameter instead.
    (PR #4232)

  • ⚠️ Removed deprecated UserBotLatencyLogObserver (deprecated in 0.0.102). Use UserBotLatencyObserver with its on_latency_measured event handler instead.
    (PR #4232)

  • ⚠️ Removed the riva install extra. Use nvidia instead (pip install "pipecat-ai[nvidia]").
    (PR #4235)

  • Removed the empty remote-smart-turn install extra (was already a no-op).
    (PR #4235)

  • ⚠️ Removed DeprecatedModuleProxy and all service __init__.py re-export shims. Flat imports like from pipecat.services.openai import OpenAILLMService no longer work. Use the full submodule path instead: from pipecat.services.openai.llm import OpenAILLMService. This is already the established pattern across all examples and internal code.
    (PR #4239)

  • ⚠️ Removed deprecated PIPECAT_OBSERVER_FILES environment variable support. Use PIPECAT_SETUP_FILES instead.
    (PR #4267)

Fixed

  • Fixed IdleFrameProcessor where asyncio.Event was unconditionally cleared in a finally block instead of only on the success path.
    (PR #3796)

  • Fixed MCPClient opening a new connection for every tool call instead of reusing the session.
    (PR #4034)

  • GoogleLLMService now applies a low-latency thinking default (thinking_level="minimal") for Gemini 3+ Flash models.
    (PR #4067)

  • Fixed WebsocketService entering an infinite reconnection loop when a server accepts the WebSocket handshake but immediately closes the connection (e.g. invalid API key, close code 1008). The service now detects connections that fail repeatedly within seconds of being established and stops retrying after 3 consecutive quick failures.
    (PR #4201)

  • 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.
    (PR #4202)

  • 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.
    (PR #4203)

  • Fixed BaseOutputTransport discarding pending UninterruptibleFrame items (e.g. function-call context updates) when an interruption arrived. The audio task is now kept alive and only interruptible frames are drained when uninterruptible frames are present in the queue.
    (PR #4217)

  • Fixed spurious LLM inference being triggered when a function call result arrived while the user was actively speaking. The context frame is now suppressed until the user stops speaking.
    (PR #4217)

  • 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.
    (PR #4220)

  • Fixed duplicate LLM replies that could occur when multiple async function call results arrived while an LLM request was already queued.
    (PR #4230)

  • Fixed undefined _warn_deprecated_param calls in OpenAIRealtimeLLMService and GrokRealtimeLLMService for the deprecated session_properties init parameter.
    (PR #4232)

  • Fixed Gemini Live bot hanging after a session resumption reconnect. Audio, video, and text input were silently dropped after reconnecting because the internal _ready_for_realtime_input flag was not being reset.
    (PR #4242)

  • Fixed VADController getting stuck in the SPEAKING state when audio frames stop arriving mid-speech (e.g. user mutes mic). A new audio_idle_timeout parameter (default 1s, set to 0 to disable) forces a transition back to QUIET and emits on_speech_stopped when no audio is received while speaking.
    (PR #4244)

  • Fixed PipelineRunner._gc_collect() blocking the event loop by running gc.collect() synchronously. Now offloaded via asyncio.to_thread to avoid stalling concurrent pipeline tasks.
    (PR #4255)

  • Fixed ElevenLabsTTSService incorrectly enabling auto_mode when using TextAggregationMode.TOKEN. Auto mode disables server-side buffering and is designed for complete sentences — enabling it with token streaming degraded speech quality. The default is now derived automatically from the aggregation strategy: auto_mode=True for SENTENCE, auto_mode=False for TOKEN. Callers can still override by passing auto_mode explicitly.
    (PR #4265)

  • Fixed ValueError: write to closed file during pipeline shutdown when observers were active. Observer proxy tasks are now cancelled before observer resources are cleaned up.
    (PR #4267)

  • Fixed delayed turn completion when STT transcripts arrive after the p99 timeout. Previously, a late transcript (beyond the p99 window) would fall through to the 5-second user_turn_stop_timeout fallback. Now the turn stop triggers immediately when the late transcript arrives.
    (PR #4283)

  • Fixed ElevenLabsTTSService ignoring enable_logging=False and enable_ssml_parsing=False. The truthy check treated False the same as None (both skipped), and Python's str(False) produced "False" instead of the lowercase "false" expected by the API.
    (PR #4293)

  • Fixed on_assistant_turn_stopped not resetting internal state when the LLM returned no text tokens. Added interrupted field to AssistantTurnStoppedMessage to indicate whether the assistant turn was interrupted.
    (PR #4294)

  • Fixed LLMContextSummarizer failing with "No messages to summarize" when using system_instruction instead of a system-role message at the start of the context. The summarizer previously scanned the entire context for the first system message, which could match a mid-conversation injection (e.g. idle notifications) instead of the initial prompt, causing the summarization range to be empty.
    (PR #4295)

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