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Author SHA1 Message Date
Aleix Conchillo Flaqué
457f55e99a Merge pull request #4297 from pipecat-ai/changelog-1.0.0
Release 1.0.0 - Changelog Update
2026-04-14 12:08:35 -07:00
aconchillo
f8318289d4 Update changelog for version 1.0.0 2026-04-14 12:06:43 -07:00
Aleix Conchillo Flaqué
958d90819f Merge pull request #4294 from pipecat-ai/ac/fix-assistant-turn-stopped-event
Fix on_assistant_turn_stopped not firing for tool-call-only responses
2026-04-14 10:09:55 -07:00
Aleix Conchillo Flaqué
403235eb48 Add changelog for #4294 2026-04-14 10:07:19 -07:00
Aleix Conchillo Flaqué
698c2ba92e Fix on_assistant_turn_stopped not firing for empty LLM responses
When the LLM returned zero text tokens (e.g. it was interrupted before producing
tokens or about to push tokens), push_aggregation() returned an empty string and
on_assistant_turn_stopped was never emitted. This left consumers waiting for an
event that would never arrive.

Now on_assistant_turn_stopped always fires, with an empty content string when
the LLM produced no text tokens.

Fixes #4292
2026-04-14 10:07:19 -07:00
Mark Backman
f013d5632b Merge pull request #4293 from pipecat-ai/mb/fix-elevenlabs-tts-enable-logging
Fix ElevenLabs TTS boolean params and add missing features
2026-04-14 12:58:31 -04:00
Mark Backman
570849955c Merge pull request #4295 from pipecat-ai/mb/context-summarization-index-0
Fix context summarization failing with mid-conversation system messages
2026-04-14 12:24:47 -04:00
Mark Backman
84b885682f Add changelog for #4295 2026-04-14 11:49:31 -04:00
Mark Backman
989fb4deaa Fix context summarization failing with mid-conversation system messages
Only treat messages[0] as the initial system prompt when determining the
summarization range. Previously, the code scanned the entire context for
the first system-role message, which caused failures when the only system
message was a mid-conversation injection (e.g. "The user has been quiet").
In that case summary_start exceeded summary_end, producing an empty range
and "No messages to summarize" errors.

Fixes #4286
2026-04-14 11:48:50 -04:00
dhruvladia-sarvam
ab74605a26 Sarvam TTS request id added to agent logs (#4278)
- Added trace logging to correlate Sarvam request_id with context_id
2026-04-14 11:02:05 -04:00
Mark Backman
49998d252b Add changelog for #4293 2026-04-14 10:13:12 -04:00
Mark Backman
84566c1110 Remove unused ElevenLabsOutputFormat and add missing sample rates
Remove dead ElevenLabsOutputFormat type alias. Add pcm_32000 and
pcm_48000 to output_format_from_sample_rate to match the ElevenLabs API.
2026-04-14 10:11:31 -04:00
Mark Backman
45aa95fa10 Fix ElevenLabs boolean query params and add enable_logging to HTTP service
The enable_logging and enable_ssml_parsing URL params used truthy checks,
so False was treated the same as None (both skipped). Also, Python's
str(False) produces "False" but the API expects lowercase "false".

Additionally, add enable_logging support to ElevenLabsHttpTTSService
which was missing entirely.
2026-04-14 10:04:23 -04:00
Mark Backman
d1f7af0330 Merge pull request #4283 from pipecat-ai/mb/user-stop-transcript-improvements 2026-04-13 19:27:05 -04:00
Mark Backman
31b5a64382 Merge pull request #4282 from pipecat-ai/mb/cartesia-stt-settings-update
Reconnect Cartesia STT websocket on settings change
2026-04-13 18:18:36 -04:00
Mark Backman
d20013d7a6 Add changelog for #4283 2026-04-13 18:12:04 -04:00
Mark Backman
804e3ea9ec Trigger turn stop immediately when transcript arrives after p99 timeout
When the STT p99 timeout fires without a transcript, the turn stop
strategy previously did nothing — falling through to the 5-second
user_turn_stop_timeout. Now, a _timeout_expired flag tracks when the
timeout has elapsed so that a late transcript triggers the turn stop
immediately instead of waiting for the fallback.
2026-04-13 18:11:32 -04:00
Aleix Conchillo Flaqué
a14d257cf2 update pytest to >=9 2026-04-13 15:08:47 -07:00
Aleix Conchillo Flaqué
a8660aabfe update uv.lock 2026-04-13 15:06:25 -07:00
Aleix Conchillo Flaqué
7dc763d512 Merge pull request #4272 from pipecat-ai/pk/llm-context-get-messages-elide-large-values
Add truncate_large_values to LLMContext.get_messages()
2026-04-13 15:04:41 -07:00
Mark Backman
36b15c92ef Add changelog for #4282 2026-04-13 17:29:39 -04:00
Mark Backman
64ed0aae13 Reconnect Cartesia STT websocket when settings change at runtime
Previously settings updates were ignored with a TODO comment. Now when
model/language changes via STTUpdateSettingsFrame the service disconnects
and reconnects with the new query parameters.

Key changes:
- Implement _update_settings to disconnect/reconnect on changes
- Check `is not State.OPEN` in run_stt to catch CLOSING state
- Send `done` command before closing for clean session shutdown
- Capture websocket reference in _disconnect_websocket to prevent a
  concurrent _connect from having its new connection nulled by a stale
  finally block
2026-04-13 17:28:34 -04:00
Mark Backman
be81dac723 Merge pull request #4280 from pipecat-ai/mb/resolve-vuln-2026-04-13
Update uv.lock resolving langchain-core and cryptography vulnerabilities
2026-04-13 11:58:25 -04:00
Mark Backman
d942a713af Update uv.lock resolving langchain-core and cryptography vulnerabilities 2026-04-13 11:09:31 -04:00
Filipi da Silva Fuchter
e248c4c049 Merge pull request #4249 from sathwikareddy02/nvidia-tts-update
Add stitching support and enhancements for NvidiaTTSService
2026-04-13 09:39:48 -03:00
filipi87
1d5dcf1698 Invoking to remove the audio context when there is no more audio to receive. 2026-04-13 09:34:13 -03:00
sathwika
f45a410f56 refactor/simplify NvidiaTTSService synthesis stream shutdown 2026-04-13 14:35:17 +05:30
Paul Kompfner
e38647151d Fix language: binary data is replaced with placeholders, not truncated 2026-04-11 14:39:25 -04:00
Paul Kompfner
1a02b5d61a Rename elide_large_values to truncate_large_values 2026-04-11 14:29:05 -04:00
Aleix Conchillo Flaqué
4254c1f0e0 Merge pull request #4273 from pipecat-ai/ac/test-fixes
Fix LLM test constructors and wake phrase test race
2026-04-10 21:27:00 -07:00
Aleix Conchillo Flaqué
f91a113de7 tests: yield in wake phrase strategy setup to let tasks start
The strategy schedules background tasks during setup. Fast-running
tests could observe state before those tasks had a chance to run;
yielding once via asyncio.sleep(0) ensures they do.
2026-04-10 17:37:50 -07:00
Aleix Conchillo Flaqué
e553bb010f tests: migrate LLM tests to Settings-based constructor API
Replace the old `model=` / `params=InputParams(...)` style with the
new `settings=<Service>.Settings(...)` form across LLM service tests.
2026-04-10 17:37:49 -07:00
Paul Kompfner
245339e885 Add changelog for #4272 2026-04-10 16:37:49 -04:00
Paul Kompfner
812cdc6822 Add elide_large_values to LLMContext.get_messages()
Enable callers to get a compact version of context messages suitable
for serialization, logging, and debugging tools. For standard
messages, known binary data (base64 images, audio) is fully elided.
For LLM-specific messages, long string values are recursively
truncated. Adapter get_messages_for_logging() methods now use this.
2026-04-10 16:35:36 -04:00
Aleix Conchillo Flaqué
153814ecc2 scripts/evals: create recording subdirectories when saving audio
Example files can live under subdirectories (e.g. foundational/01.py),
so the recording path needs its parent directory created before the
audio file is written.
2026-04-10 13:19:20 -07:00
Filipi da Silva Fuchter
b1204cc430 Merge pull request #4241 from pipecat-ai/filipi/async_tools_cancellable
Enable async tool cancellation feature.
2026-04-10 15:28:01 -03:00
filipi87
c542167065 Refactored on_function_calls_cancelled to use FunctionCallFromLLM. 2026-04-10 15:06:39 -03:00
Aleix Conchillo Flaqué
02116c58de Merge pull request #4244 from omChauhanDev/fix/vad-stuck-speaking-on-mute
fix VAD stuck in SPEAKING state when audio stops mid-speech
2026-04-10 10:46:53 -07:00
Aleix Conchillo Flaqué
dcd21e7ff4 Rework audio idle detection with timestamp-based adaptive sleep
Replaces the per-frame asyncio.Event signaling with a monotonic
timestamp updated on each audio frame. The handler sleeps until the
next deadline (last_audio_time + timeout), recomputing on each wake-up
to account for audio arriving during sleep.

This avoids waking the handler on every audio frame (~50/s at 20ms
chunks), and guarantees detection latency is bounded by timeout rather
than 2 * timeout.

Also renames audio_starvation_timeout to audio_idle_timeout and
associated identifiers for consistency with existing pipecat naming
(user_idle_timeout, etc.).
2026-04-10 10:35:18 -07:00
Aleix Conchillo Flaqué
5356f3028b Merge pull request #4271 from pipecat-ai/mb/fix-translation-readme
Fix translation example in README
2026-04-10 10:26:27 -07:00
Om Chauhan
cb2c1868b0 fix VAD stuck in SPEAKING state when audio stops mid-speech 2026-04-10 09:54:48 -07:00
Aleix Conchillo Flaqué
dac88c0a47 Merge pull request #4267 from pipecat-ai/ac/fix-observer-cleanup-ordering
Fix observer cleanup ordering to stop proxy tasks before closing resources
2026-04-10 09:05:33 -07:00
kompfner
8e5fe8afda Merge pull request #4067 from omChauhanDev/fix-gemini3-flash-thinking-default
fix: default thinking config for Gemini 3+ Flash models
2026-04-10 10:41:44 -04:00
kompfner
d07eebff20 Merge pull request #4248 from omChauhanDev/add-openai-custom-tools-support
Add custom_tools support for OpenAI adapters
2026-04-10 10:27:28 -04:00
Paul Kompfner
ef4dcca4f1 Update changelog to describe user-facing custom_tools support 2026-04-10 10:23:13 -04:00
Paul Kompfner
fc3307bc63 Use OpenAI SDK types for tool params in adapters and tests
These are TypedDicts (plain dicts at runtime), so no behavioral change
— just more descriptive type hints for readers. Use ToolParam instead
of FunctionToolParam for the Responses adapter to reflect that custom
non-function tools are supported. Use ChatCompletionToolParam instead
of Any for the completions adapter return type. Update tests to use
typed params in expected values.
2026-04-10 10:15:39 -04:00
Mark Backman
da9a55a430 Fix translation example in README 2026-04-10 09:13:42 -04:00
Filipi da Silva Fuchter
094d36904c Merge pull request #4268 from pipecat-ai/filipi/lemonslice_improments
LemonSlice transport updates - new events, extra params
2026-04-10 08:50:39 -03:00
sathwika
746fadc2b5 thread simplification + handling interuption 2026-04-10 17:18:22 +05:30
filipi87
8cce25d2d2 Fixing openai examples. 2026-04-10 08:25:50 -03:00
filipi87
891f00cb5f Using the on_function_calls_cancelled inside the examples. 2026-04-10 07:45:20 -03:00
filipi87
1ca094dad7 Not invoking on_function_calls_started for the cancel function, and creating on_function_calls_cancelled 2026-04-10 07:40:52 -03:00
filipi87
346c585290 Enabling the option to cancel the tools for all the async examples. 2026-04-10 07:31:51 -03:00
jp-lemon
c134110399 LemonSlice transport updates 2026-04-10 07:10:41 -03:00
Aleix Conchillo Flaqué
f9117e6d4a Add changelog for PIPECAT_OBSERVER_FILES removal 2026-04-09 17:39:54 -07:00
Aleix Conchillo Flaqué
360e4480e0 Remove deprecated _load_observer_files in favor of setup files 2026-04-09 17:38:46 -07:00
Aleix Conchillo Flaqué
9b7e15c9bc Add changelog for #4267 2026-04-09 16:55:40 -07:00
Aleix Conchillo Flaqué
00ea86fda8 Fix observer cleanup ordering to stop proxy tasks before closing resources
During pipeline shutdown, proxy tasks must be cancelled before observer
resources are cleaned up. Previously, stop() was called inside
_cancel_tasks() and start() was called in _start_tasks(), which could
lead to proxy tasks still consuming frames after observer resources
were closed.

Now the lifecycle is explicit in _handle_start_frame: start() after all
observers are loaded, and stop() before cleanup() on shutdown.

Also fixes misleading variable name in TaskObserver.cleanup() where
iterating self._proxies yields observer keys, not Proxy values.

Fixes #4195
2026-04-09 16:55:40 -07:00
Aleix Conchillo Flaqué
5f75728207 EventNotifier: update docstring with single-consumer use case 2026-04-09 16:21:42 -07:00
Aleix Conchillo Flaqué
9d274f0fb3 PipelineTask: update dangling task logging 2026-04-09 16:21:05 -07:00
Aleix Conchillo Flaqué
43ddbdf1ec Merge pull request #3797 from iamjr15/fix/idle-processor-event-race
Fix asyncio.Event race conditions in idle processors
2026-04-09 16:04:03 -07:00
iamjr15
565349d332 Fix asyncio.Event race conditions in idle processors
Move event.clear() from finally block to success path in
IdleFrameProcessor and UserIdleProcessor._idle_task_handler().
The finally block unconditionally cleared signals set during
async timeout callbacks, causing false-positive idle detection.

Closes #3402
2026-04-09 13:41:01 -07:00
filipi87
2dd1170229 Updating the Anthropic stream example to allow cancel the location tracking. 2026-04-09 17:26:51 -03:00
filipi87
5cf90cba98 Addressing PR review comments. 2026-04-09 17:11:04 -03:00
Aleix Conchillo Flaqué
981b7bdcb7 Merge pull request #4255 from omChauhanDev/fix/async-gc-collect
PipelineRunner: make _gc_collect async
2026-04-09 12:09:38 -07:00
Filipi da Silva Fuchter
c4320e7f07 Merge pull request #4265 from pipecat-ai/filipi/fix_elevenlabs_token_aggregation
Using the correct default for auto_mode based on text_aggregation_mode.
2026-04-09 15:30:36 -03:00
filipi87
ea0be4d39c Changelog for the elevenlabs fix. 2026-04-09 15:25:06 -03:00
filipi87
dca4e1090a Using the correct default for auto_mode based on text_aggregation_mode. 2026-04-09 15:21:30 -03:00
Cale Shapera
ec574edd53 Add Inworld Realtime Service (#4140)
* Add Inworld Realtime LLM service

Adds a WebSocket-based realtime service for Inworld's cascade
STT/LLM/TTS API with semantic VAD, function calling, and streaming
transcription support.

New files:
- src/pipecat/services/inworld/realtime/ (service, events)
- src/pipecat/adapters/services/inworld_realtime_adapter.py
- examples/foundational/19zb-inworld-realtime.py

Also includes:
- websockets dependency for inworld extra in pyproject.toml
- Adapter and settings tests matching OpenAI/Grok realtime patterns
- Fix for double-response when server-side VAD is enabled

* Prefer init-provided system instruction in Inworld Realtime

Adopt _resolve_system_instruction() from BaseLLMAdapter, matching the
pattern applied to OpenAI Realtime, Grok Realtime, Gemini Live, and
Nova Sonic in the pk/realtime-services-init-v-context-system-instructions-cleanup
branch.

* Update changelog entry with PR number

* Fix changelog format to use bullet point

* Polish PR: default model, example cleanup, changelog update

- Change default model from gpt-4.1-nano to gpt-4.1-mini
- Add function calling demo to example
- Remove demo-testing artifact from system instruction
- Mention Router support in changelog

* Address PR review feedback for Inworld Realtime

- Move example to examples/realtime/realtime-inworld.py
- Change initial context role from "user" to "developer"
- Remove explicit sample rates from example; sync them in
  _ensure_audio_config so Inworld gets the transport's actual rates
- Add audio race condition guard in _handle_evt_audio_delta (matches
  OpenAI realtime pattern)
- Convert remaining "system"/"developer" messages to "user" in adapter
- Add clarifying comment for local-VAD vs server-VAD metrics paths

* Simplify example, add provider tracking, remove local VAD path

- Remove function calling from example, switch model to xai/grok-4-1-fast-non-reasoning
- Add pipecat-realtime session key prefix and provider_data metadata
  for Inworld traffic attribution
- Remove local VAD code path (Inworld only supports server-side VAD)
- Use typed InputAudioBufferAppendEvent for audio sends

* Default TTS model to inworld-tts-1.5-max

* Remove dead shimmed tools code, set STT/VAD defaults

- Remove non-functional AdapterType.SHIM custom tools code from adapter
- Default STT model to assemblyai/u3-rt-pro
- Default VAD eagerness to low
2026-04-09 13:04:17 -04:00
filipi87
772fb57090 Enable async tool cancellation feature. 2026-04-09 10:29:23 -03:00
Filipi da Silva Fuchter
76601944c6 Merge pull request #4230 from pipecat-ai/filipi/async_tools_stream
Support for streaming multiple responses via function calls
2026-04-09 10:26:33 -03:00
filipi87
178985ec8a Refactoring the frame queue to avoid overhead. 2026-04-09 10:24:22 -03:00
filipi87
edc197d050 Creating a new example for async stream using Google. 2026-04-09 09:50:00 -03:00
filipi87
7ece8e3c4a Creating a new example for async stream using Anthropic. 2026-04-09 09:41:07 -03:00
filipi87
7b45a56119 Changelogs for the new feature and the fix. 2026-04-09 09:04:19 -03:00
filipi87
a544f885a3 Added new examples: function-calling-openai-async-stream.py and function-calling-openai-responses-async-stream.py 2026-04-09 09:04:06 -03:00
filipi87
375deac912 Support for streaming multiple responses via function calls. 2026-04-09 09:03:53 -03:00
filipi87
699ca38dc1 Allowing to check if a specific frame is in the queue. 2026-04-09 09:03:06 -03:00
filipi87
aeda60f761 Refactoring the FrameQueue to be able to track any Frame. 2026-04-09 09:02:47 -03:00
Om Chauhan
b010dd58d2 added changelog 2026-04-08 09:37:58 +05:30
Om Chauhan
225ea907d5 make PipelineRunner._gc_collect async 2026-04-08 09:27:18 +05:30
Om Chauhan
1443dfb070 added changelog 2026-04-08 08:48:26 +05:30
Om Chauhan
4bef85e363 added custom_tools support for OpenAI adapters 2026-04-08 08:40:03 +05:30
Mark Backman
0acfb4dd49 Merge pull request #4251 from pipecat-ai/mb/mistral-tts
Add Mistral Voxtral streaming TTS service
2026-04-07 12:50:48 -04:00
Mark Backman
8594401024 Add changelog for PR #4251 2026-04-07 12:32:06 -04:00
Mark Backman
aa7a014518 Add mistral voice example 2026-04-07 12:32:06 -04:00
Filipi da Silva Fuchter
27a8a973b1 Merge pull request #4201 from pipecat-ai/mb/handle-recurring-disconnects
Fix WebsocketService infinite reconnection loop
2026-04-07 11:02:24 -03:00
sathwika
8abda808ca Add Nvidia copyright header 2026-04-07 19:27:04 +05:30
Mark Backman
7f3f23dcb9 Add Mistral Voxtral streaming TTS service
Integrate with Mistral's Voxtral TTS API (voxtral-mini-tts-2603) using
HTTP streaming with Server-Sent Events. Converts base64-encoded float32
PCM chunks from the API to int16 for the Pipecat pipeline.
2026-04-07 09:39:36 -04:00
Filipi da Silva Fuchter
be509e5647 Merge pull request #4245 from kollaikal-rupesh/fix/mixer-cancel-cleanup
Stop audio mixer on pipeline cancellation
2026-04-07 10:36:18 -03:00
sathwika
9f0b18b03d Add changelog fragments for PR #4249 2026-04-07 18:18:55 +05:30
Filipi da Silva Fuchter
6eccd16543 Merge pull request #4217 from pipecat-ai/filipi/async_tools
Supporting async function calls.
2026-04-07 09:35:03 -03:00
filipi87
d8dc6bc7d0 New example for async function calls using Google. 2026-04-07 09:31:22 -03:00
filipi87
d12a8529e2 New example for async function calls using OpenAI responses. 2026-04-07 09:28:01 -03:00
filipi87
aa061f7e2c Renaming the openai and anthropic examples to async instead of delayed. 2026-04-07 09:23:45 -03:00
Filipi da Silva Fuchter
e863293198 Improving docstring description.
Co-authored-by: kompfner <paul@daily.co>
2026-04-07 08:14:39 -04:00
filipi87
9c7d5a9de2 Improving changelog description to mention group_parallel_tools. 2026-04-07 09:13:08 -03:00
Filipi da Silva Fuchter
a451c42dc7 Merge pull request #4247 from pipecat-ai/filipi/background_sound_example
Fixing the background sound example.
2026-04-07 09:06:14 -03:00
sathwika
bc009d8f98 Add stitching support and enhancements for NvidiaTTSService 2026-04-07 14:49:45 +05:30
Rupesh
67ee802772 Remove changelog entry per review feedback 2026-04-06 21:36:53 -07:00
filipi87
ceaa27ee6e Fixing the background sound example. 2026-04-06 18:25:30 -03:00
filipi87
42335e2ef0 Renaming to async_tool and providing description. 2026-04-06 09:56:48 -03:00
Rupesh
7585864113 Stop audio mixer on pipeline cancellation to prevent 100% CPU usage 2026-04-06 01:51:29 -07:00
kompfner
18852adc28 Merge pull request #4242 from pipecat-ai/pk/gemini-live-fix-session-resumption
Fix Gemini Live session resumption hanging after reconnect
2026-04-04 11:43:24 -04:00
Paul Kompfner
f11b6d7151 Fix Gemini Live session resumption hanging after reconnect
After a reconnect, _ready_for_realtime_input was never set back to True
because _create_initial_response (which sets the flag) is only called on
initial connection. This caused all audio/video/text to be silently
dropped after reconnecting, making the bot appear to hang.

Set the flag in _handle_session_ready when we detect a reconnect, either
via session_resumption_handle (server restores state) or via existing
context (rare case where connection drops before first resumption handle).
2026-04-03 18:27:10 -04:00
Paul Kompfner
9df1e18b43 Fix Gemini Live session resumption hanging after reconnect
After a reconnect, _ready_for_realtime_input was never set back to True
because _create_initial_response (which sets the flag) is only called on
initial connection. This caused all audio/video/text to be silently
dropped after reconnecting, making the bot appear to hang.

Set the flag in _handle_session_ready when context already exists
(i.e. reconnect case) since we don't need to go through
_create_initial_response again.
2026-04-03 16:32:03 -04:00
Mark Backman
b8f9a21e0c Merge pull request #4240 from pipecat-ai/mb/remove-old-files
Remove orphaned .dockerignore and CHANGELOG.md.template
2026-04-03 15:40:57 -04:00
Mark Backman
c18d997ad8 Remove orphaned .dockerignore and CHANGELOG.md.template 2026-04-03 14:55:25 -04:00
Mark Backman
56aaebe1b0 Merge pull request #4239 from pipecat-ai/mb/remove-deprecation-module-proxy
Remove DeprecatedModuleProxy and service re-export shims
2026-04-03 14:03:17 -04:00
Mark Backman
916af84974 Remove DeprecatedModuleProxy and service re-export shims
Remove the deprecation proxy infrastructure that allowed old-style flat
imports (e.g. `from pipecat.services.openai import OpenAILLMService`).
Users must now import from specific submodules
(`from pipecat.services.openai.llm import OpenAILLMService`), which is
already the established pattern across all internal code and 179+ examples.

- Strip 32 proxy `__init__.py` files to empty
- Strip 3 non-proxy files with bare star imports (minimax, sambanova, sarvam)
- Strip google/gemini_live `__init__.py` re-exports
- Remove DeprecatedModuleProxy class and helpers from services/__init__.py
- Remove ruff per-file ignore for services/__init__.py
- Fix 2 examples using old-style imports
2026-04-03 13:43:02 -04:00
Mark Backman
3e911b5fa0 Merge pull request #4236 from pipecat-ai/mb/more-deprecation-removals-2026-04-03
Remove deprecated fields, shims, and backward-compatibility code
2026-04-03 13:28:03 -04:00
Aleix Conchillo Flaqué
7c08779a2f Merge pull request #4234 from pipecat-ai/aleix/export-runner-app
Export FastAPI app from runner for custom routes
2026-04-03 09:45:39 -07:00
Mark Backman
988c08a5b6 Merge pull request #4238 from pipecat-ai/mb/fix-daily-utils-docs
Fix Pydantic v2 + Sphinx autodoc incompatibility for Daily utils
2026-04-03 12:39:09 -04:00
Mark Backman
7351298849 Fix Pydantic v2 + Sphinx autodoc incompatibility for Daily utils
Patch Pydantic's DICT_TYPES check in conf.py to accept Union-wrapped
dict types, fixing the autodoc import failure for models using
ConfigDict(extra="allow").
2026-04-03 12:00:11 -04:00
kompfner
392134be46 Merge pull request #4231 from pipecat-ai/pk/llm-messages-transform-frame
Add a `LLMMessagesTransformFrame` to facilitate programmatically edit…
2026-04-03 11:54:34 -04:00
Paul Kompfner
9266e1e7ad Remove comment referencing removed OpenAILLMContext 2026-04-03 11:53:57 -04:00
Mark Backman
e9eff4626f Merge pull request #4237 from pipecat-ai/mb/docstring-fixes-2026-04-03
Docstring fixes for docs auto-generation
2026-04-03 11:50:20 -04:00
Mark Backman
21aa50283e Update docs build script and README for current workflow
Make -W (warnings as errors) opt-in via --strict flag instead of
default, and update README to reflect uv-based workflow and current
directory structure.
2026-04-03 11:43:44 -04:00
Paul Kompfner
70469e3c0c Assert no LLMContextFrame when run_llm is not set in message frame tests 2026-04-03 11:34:58 -04:00
Paul Kompfner
6111df947e Test LLMAssistantAggregator handling of upstream message frames
Add tests for LLMRunFrame, LLMMessagesAppendFrame, LLMMessagesUpdateFrame,
and LLMMessagesTransformFrame sent upstream to LLMAssistantAggregator,
mirroring the existing LLMUserAggregator downstream tests. Add
frames_to_send_direction param to run_test helper to support this.
2026-04-03 11:34:58 -04:00
Paul Kompfner
4eebfd65d9 Add a 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.
2026-04-03 11:34:50 -04:00
Mark Backman
c2358b273b Use Parameters instead of Attributes in docstrings to fix duplicate object warnings
Napoleon's Attributes section creates class-level attribute docs that
duplicate the __init__ parameter docs when napoleon_include_init_with_doc
is enabled. Using Parameters avoids the duplication.
2026-04-03 10:36:36 -04:00
Mark Backman
3a10a528c0 Remove deprecated fields, shims, and backward-compatibility code
- Remove expect_stripped_words from LLMAssistantAggregatorParams and related warnings
- Remove old multi-parameter on_push_frame observer signature support in TaskObserver
- Remove deprecated context field from UserImageRequestFrame
- Remove deprecated LiveKitTransportMessageFrame and LiveKitTransportMessageUrgentFrame
- Remove deprecated pipecat.turns.mute shim module
2026-04-03 10:10:51 -04:00
Mark Backman
f078b8b867 Fix Sphinx docstring RST formatting warnings
Replace Markdown code blocks with RST syntax in genesys.py, fix
deprecated directive transitions in nvidia and summarization modules,
remove stray bullet prefix in whisper arg docs, restructure code block
in turn completion mixin, and add deepgram mock to Sphinx conf.
2026-04-03 09:57:20 -04:00
Mark Backman
5490820338 Merge pull request #4235 from pipecat-ai/mb/deprecation-docs-cleanup
Clean up docs config after deprecation pass
2026-04-03 09:57:05 -04:00
Mark Backman
10697636c9 Add changelog for #4235 2026-04-03 09:52:31 -04:00
Mark Backman
e1638a9342 Clean up docs config after riva removal and add missing modules
Remove stale riva mock imports from autodoc_mock_imports since the riva
service was removed and nvidia-riva-client is installed during doc builds.
Add pipecat.turns and pipecat.extensions to import_core_modules() and
add Turns to the index.rst toctree. Regenerate uv.lock to reflect the
riva extra removal from pyproject.toml.
2026-04-03 09:52:31 -04:00
Mark Backman
bfffefa95c Remove leftover riva and remote-smart-turn references
Clean up deprecated extras from pyproject.toml and the docs
build script.
2026-04-03 09:29:29 -04:00
Mark Backman
fbb49ffc8d Merge pull request #4233 from pipecat-ai/mb/remove-unused-imports-2026-04-02
Remove unused imports across codebase
2026-04-03 07:26:13 -04:00
filipi87
eace782752 Renaming from async_tool to tool. 2026-04-03 08:20:14 -03:00
Mark Backman
b94071d37f Merge pull request #4232 from pipecat-ai/mb/more-deprecation-removals 2026-04-03 06:52:56 -04:00
Aleix Conchillo Flaqué
796a10fe9c Add changelog for #4234 2026-04-02 21:16:49 -07:00
Aleix Conchillo Flaqué
1ab07d312f Export FastAPI app from runner so custom routes can be added
Move the FastAPI instance to module level so other packages can import
it and register routes before main() is called. main() now configures
the existing app with transport-specific routes instead of creating a
new one.
2026-04-02 21:16:17 -07:00
Mark Backman
8adb38f87c Remove unused imports across codebase 2026-04-02 22:21:16 -04:00
Mark Backman
33f145d70a Add changelog fragments for #4232 2026-04-02 22:10:09 -04:00
Mark Backman
41e46ee69e Remove deprecated vad_events and should_interrupt from DeepgramSTTService
Deepgram's built-in VAD events were deprecated in 0.0.99 in favor of
Silero VAD. This removes vad_events from settings and LiveOptions,
the should_interrupt parameter, the vad_enabled property,
_on_speech_started/_on_utterance_end handlers, and simplifies
_on_message and process_frame accordingly.
2026-04-02 22:05:49 -04:00
Mark Backman
60933b7a56 Remove deprecated send_transcription_frames param and fix broken _warn_deprecated_param calls
Remove the send_transcription_frames parameter from OpenAI Realtime LLM
(deprecated since 0.0.92). Also fix undefined _warn_deprecated_param
calls in both OpenAI and xAI realtime services, replacing them with the
existing _warn_init_param_moved_to_settings method.
2026-04-02 21:58:57 -04:00
Mark Backman
64e09d592e Remove deprecated TranscriptionUserTurnStopStrategy alias
Replaced by SpeechTimeoutUserTurnStopStrategy since 0.0.102.
2026-04-02 21:57:03 -04:00
Mark Backman
883de8ab08 Remove dangling turn_analyzer docstring and unused imports from TransportParams 2026-04-02 21:56:11 -04:00
Mark Backman
793ed8f9e3 Remove deprecated UserBotLatencyLogObserver and UserIdleProcessor
UserBotLatencyLogObserver (deprecated 0.0.102) is replaced by
UserBotLatencyObserver. UserIdleProcessor (deprecated 0.0.100) is
replaced by LLMUserAggregator with user_idle_timeout.
2026-04-02 21:54:36 -04:00
Vanessa Pyne
d8ea33e1a4 Merge pull request #4034 from omChauhanDev/fix/mcp-persistent-session
fixed MCPClient to reuse session across tool calls
2026-04-02 18:51:31 -05:00
vipyne
1d7404ef21 Update MCP examples 2026-04-02 18:15:56 -05:00
Om Chauhan
dc909e2713 add changelog fragments 2026-04-02 18:06:28 -05:00
Om Chauhan
e22f9f84bb fixed MCPClient to reuse session across tool calls 2026-04-02 18:06:28 -05:00
filipi87
7af72eee3e Creating new delayed examples for openai and anthropic. 2026-04-02 18:40:41 -03:00
Aleix Conchillo Flaqué
57068f1b38 Merge pull request #4229 from pipecat-ai/aleix/deprecate-transport-vad-turn-analyzers
Remove deprecated transport VAD/turn analyzers and ExternalUserTurnStrategies
2026-04-02 14:30:12 -07:00
filipi87
bbb605accc Changelog entries for the fixes and improvements. 2026-04-02 16:58:42 -03:00
filipi87
929a0e33f4 Fixing the automated tests. 2026-04-02 16:58:28 -03:00
filipi87
3724ecd378 Supporting async function calls. 2026-04-02 16:58:19 -03:00
filipi87
4c8734c5e1 Fixing an issue where the BotOutputTransport was discarding the UninterruptibleFrames. 2026-04-02 16:57:46 -03:00
filipi87
283f6df205 Creating a FrameQueue so we can properly reset without discarding uninterruptible frames. 2026-04-02 16:57:22 -03:00
Aleix Conchillo Flaqué
a29be38f48 LLMUserAggregator: remove self-queued frame tracking
The _self_queued_frames set and _internal_queue_frame wrapper were used
to prevent re-processing SpeechControlParamsFrame that the aggregator
queued to itself. Now that the frame is no longer special-cased, this
tracking is unnecessary. Also removes unused FrameCallback import.
2026-04-02 12:42:06 -07:00
Aleix Conchillo Flaqué
976c644f90 Fix tests to expect SpeechControlParamsFrame from default turn strategy 2026-04-02 12:42:06 -07:00
Aleix Conchillo Flaqué
34aa37f395 Add changelog for #4229 2026-04-02 11:54:07 -07:00
Aleix Conchillo Flaqué
380867a87a LLMUserAggregator: remove auto ExternalUserTurnStrategies() 2026-04-02 11:52:26 -07:00
Aleix Conchillo Flaqué
cc3af59db4 transports: remove deprecated VAD and turn analyzers 2026-04-02 11:51:08 -07:00
Mark Backman
f93d13efff Merge pull request #4228 from pipecat-ai/mb/remove-turn-deprecations 2026-04-02 14:32:21 -04:00
Mark Backman
c28b7e8f26 Merge pull request #4219 from lukehalley/feat/bedrock-prompt-caching
feat(aws): add prompt caching support for Bedrock ConverseStream
2026-04-02 12:26:28 -04:00
Mark Backman
d1a2dee7a1 fix(aws): initialize enable_prompt_caching in default settings 2026-04-02 12:20:47 -04:00
Luke Halley
da1a1a59a4 feat(aws): handle LLMEnablePromptCachingFrame for runtime toggling
Add LLMEnablePromptCachingFrame handler to process_frame for parity
with AnthropicLLMService, enabling runtime toggling of prompt caching.
2026-04-02 12:13:46 -04:00
Luke Halley
134790b17c chore: add changelog fragment for PR #4219 2026-04-02 12:10:57 -04:00
Luke Halley
e5aa3bbc20 feat(aws): add prompt caching support for Bedrock ConverseStream
Adds `enable_prompt_caching` setting to `AWSBedrockLLMSettings`. When
enabled, appends `cachePoint` markers to system prompts and tool
definitions in ConverseStream requests.

This can reduce TTFT by up to 85% for multi-turn conversations where
the system prompt stays constant (e.g. voice agents, chat assistants).

Follows the same pattern as `AnthropicLLMService.enable_prompt_caching`.

Usage:
```python
llm = AWSBedrockLLMService(
    settings=AWSBedrockLLMSettings(
        model="au.anthropic.claude-haiku-4-5-20251001-v1:0",
        enable_prompt_caching=True,
    ),
)
```

See: https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-caching.html
2026-04-02 12:10:57 -04:00
Mark Backman
3be0ea05ef Add changelog entries for #4228 2026-04-02 11:34:22 -04:00
Mark Backman
0c59819682 Remove allow_interruptions from voice-sarvam example
This was missed from the allow_interruptions removal commit.
2026-04-02 11:32:44 -04:00
Mark Backman
5b67dcd9e7 Remove deprecated EmulateUser{Started,Stopped}SpeakingFrame and emulated field
Remove EmulateUserStartedSpeakingFrame, EmulateUserStoppedSpeakingFrame
(deprecated since v0.0.99), and the emulated field from
UserStartedSpeakingFrame and UserStoppedSpeakingFrame. Clean up the
handling code in base_input.py and a stale comment in nova_sonic/llm.py.
2026-04-02 11:31:29 -04:00
Mark Backman
d503383c23 Remove deprecated interruption_strategies plumbing
The interruption_strategies mechanism was deprecated in v0.0.99 in favor
of LLMUserAggregator's user_turn_strategies. All evaluation logic was
already removed — this removes the remaining field definitions, property,
StartFrame propagation, conditional check in base_input.py, strategy
files, and test.
2026-04-02 11:19:17 -04:00
Mark Backman
fa30268b84 Remove deprecated TranscriptionMessage, ThoughtTranscriptionMessage, and TranscriptionUpdateFrame 2026-04-02 11:03:23 -04:00
Mark Backman
2a118084bd Remove deprecated transcript_processor module 2026-04-02 10:57:05 -04:00
Mark Backman
87e8ed109a Remove deprecated STTMuteFilter, STTMuteConfig, and STTMuteStrategy 2026-04-02 10:52:41 -04:00
Mark Backman
a5e1bbf4a3 Remove deprecated UserResponseAggregator class 2026-04-02 10:50:05 -04:00
Mark Backman
f8267f1ea6 Remove deprecated allow_interruptions parameter
This field was deprecated in v0.0.99 in favor of LLMUserAggregator's
user_turn_strategies / user_mute_strategies parameters. Since the default
was True (interruptions allowed), removing the guards keeps the current
default behavior.
2026-04-02 10:47:44 -04:00
Mark Backman
74acb0b7d0 Remove deprecated class_decorators tracing module 2026-04-02 10:31:15 -04:00
Mark Backman
41e3afbc2f Remove deprecated add_pattern_pair method from PatternPairAggregator 2026-04-02 10:28:01 -04:00
Aleix Conchillo Flaqué
d4824ffe8a Merge pull request #4225 from pipecat-ai/aleix/transport-and-other-deprecations
Remove deprecated transport module aliases and sync package
2026-04-01 19:43:22 -07:00
Mark Backman
2426f80789 Merge pull request #4220 from pipecat-ai/mb/more-service-deprecations
Remove more deprecated service parameters and shims
2026-04-01 22:23:39 -04:00
Mark Backman
5ce46df599 Use self.create_context_id() instead of raw uuid in CartesiaTTSService 2026-04-01 22:18:41 -04:00
Aleix Conchillo Flaqué
a6013ba437 update uv.lock 2026-04-01 19:12:39 -07:00
Aleix Conchillo Flaqué
279ca5a87b Add changelog for #4225 2026-04-01 19:04:11 -07:00
Aleix Conchillo Flaqué
c6f79592d8 remove deprecated sync package 2026-04-01 19:04:11 -07:00
Aleix Conchillo Flaqué
e74e497b8d transports: remove old deprecated modules 2026-04-01 19:04:11 -07:00
Aleix Conchillo Flaqué
d245b79bba Merge pull request #3984 from pipecat-ai/aleix/update-onnxruntime
Update onnxruntime to 1.24.3
2026-04-01 19:03:57 -07:00
Mark Backman
8a794424dd Update uv.lock 2026-04-01 19:05:17 -04:00
Aleix Conchillo Flaqué
f4743a6c91 require python >= 3.11 2026-04-01 19:02:34 -04:00
Aleix Conchillo Flaqué
ba32a48510 github: remove python 3.10 from compatibility chart 2026-04-01 19:02:34 -04:00
Aleix Conchillo Flaqué
a9cafa2a3b Add changelog for #3984 2026-04-01 19:02:34 -04:00
Aleix Conchillo Flaqué
58b1b7249e Update onnxruntime to 1.24.3
This version adds support for Python 3.14.
2026-04-01 19:02:32 -04:00
Aleix Conchillo Flaqué
db8e73e5ca Merge pull request #4224 from pipecat-ai/aleix/optional-function-call-timeout
Make function_call_timeout_secs optional
2026-04-01 14:39:10 -07:00
Mark Backman
170f6dfe8b Add changelog for #4220 2026-04-01 17:03:05 -04:00
Mark Backman
c763abc4ae Add deprecation version to update_options in GoogleSTTService 2026-04-01 17:03:05 -04:00
Mark Backman
197d96fc49 Remove deprecated enable_prompt_caching_beta from Anthropic InputParams 2026-04-01 17:03:05 -04:00
Mark Backman
c8e9bf77fd Remove deprecated simli_config and use_turn_server params from SimliVideoService 2026-04-01 17:03:05 -04:00
Mark Backman
48b25962e2 Remove deprecated english_normalization param from MiniMax TTS InputParams 2026-04-01 17:03:05 -04:00
Mark Backman
5d093c9ad7 Remove deprecated InputParams class from GoogleVertexLLMService
The location and project_id fields were deprecated since 0.0.90 in
favor of direct __init__ parameters. Now that InputParams is removed,
project_id is required and location defaults to "us-east4" directly
in the signature.
2026-04-01 17:03:05 -04:00
Mark Backman
d93f63deb5 Remove deprecated base_url param from GeminiLiveLLMService 2026-04-01 17:03:05 -04:00
Mark Backman
09a57972f5 Remove deprecated api_key param from GeminiTTSService 2026-04-01 17:03:05 -04:00
Mark Backman
f83d062df9 Remove deprecated InputParams alias from GladiaSTTService 2026-04-01 17:03:05 -04:00
Mark Backman
a2a42b8703 Remove deprecated confidence param from GladiaSTTService 2026-04-01 17:03:05 -04:00
Mark Backman
e60a72e2d4 Remove deprecated language param from GladiaInputParams 2026-04-01 17:03:05 -04:00
Mark Backman
83f4989a78 Remove deprecated model param from FishAudioTTSService 2026-04-01 17:03:05 -04:00
Mark Backman
5d2b288274 Remove deprecated url param from DeepgramSTTService 2026-04-01 17:03:05 -04:00
Mark Backman
52ece87ac9 Remove deprecated send_transcription_frames param from AWSNovaSonicLLMService 2026-04-01 17:03:05 -04:00
Mark Backman
bc4bbb1895 Remove deprecated PollyTTSService alias 2026-04-01 17:03:05 -04:00
Mark Backman
eb014fffc4 Flush Cartesia context on voice/model/language changes
Override _update_settings in CartesiaTTSService to flush the current
audio context and assign a new turn context ID when voice, model, or
language settings change. This prevents Context has closed errors
from Cartesia API, which locks these parameters per context.
2026-04-01 17:03:05 -04:00
Mark Backman
e74930b954 Remove deprecated text_aggregator and text_filter params from TTS
Remove the deprecated text_aggregator parameter from TTSService,
CartesiaTTSService, and RimeTTSService, and the deprecated text_filter
parameter from TTSService. Users should use LLMTextProcessor before
the TTS service instead. Update the voice-switching example to use
LLMTextProcessor with PatternPairAggregator.
2026-04-01 17:03:05 -04:00
Aleix Conchillo Flaqué
6ed4109da9 Add changelog for #4224 2026-04-01 13:58:45 -07:00
Aleix Conchillo Flaqué
53f809b7d5 Make function_call_timeout_secs optional and skip timeout task when unset
Change the default from 10s to None so deferred function calls can run
indefinitely when no timeout is configured. Only create the timeout
task when a timeout is actually provided (per-call or service-level).
2026-04-01 13:58:09 -07:00
kompfner
a3c7f6c2af Merge pull request #4215 from pipecat-ai/pk/remove-openaillmcontext
Remove deprecated `OpenAILLMContext` as well as everything (code path…
2026-04-01 14:03:35 -04:00
Paul Kompfner
df68665ec1 Add changelog entries for OpenAILLMContext removal 2026-04-01 14:03:08 -04:00
Harshita Jain
bd6cbd7fe7 feat: add Smallest AI STT service integration (#4162)
Add SmallestSTTService using the Pulse WebSocket API for real-time
transcription. Includes SmallestSTTSettings dataclass, 32-language
support with resolve_language fallback, VAD-driven finalize signal,
and SMALLEST_TTFS_P99 latency constant.   

Also adds X-Source and X-Pipecat-Version headers to Smallest STT
and TTS WebSocket connections.
2026-04-01 13:44:04 -04:00
Mark Backman
33ef6b3174 Merge pull request #4218 from pipecat-ai/mb/rename-all-examples
Rename all examples
2026-04-01 07:15:57 -04:00
Mark Backman
3ca656cae5 Update simli name to match others 2026-03-31 22:54:21 -04:00
Mark Backman
6a84d02156 Update evals
- Removed evals for removed services
- Added eval for function-calling-deepseek.py
2026-03-31 22:13:52 -04:00
Mark Backman
080da8b94c Update eval script paths to match renamed example files 2026-03-31 22:09:42 -04:00
Mark Backman
d3021b4590 Rename example files to prepend parent folder name, preventing package shadowing
Example files like openai.py shadow installed packages when Python adds the
script directory to sys.path. Prepend the parent folder name to each example
file (e.g. openai.py -> function-calling-openai.py). Also split
thinking-and-mcp/ into separate mcp/ and thinking/ directories.
2026-03-31 22:06:01 -04:00
Paul Kompfner
92e34ea6e8 Fix potential UnboundLocalError for system_message in tracing decorator
Restore the `system_message = None` initialization that was dropped
when collapsing the OpenAILLMContext branch.
2026-03-31 21:00:51 -04:00
Paul Kompfner
ebab75765d Fix stream cancellation tests to mock get_chat_completions
The tests were mocking the removed _stream_chat_completions_*_context
methods. Update them to mock get_chat_completions instead.
2026-03-31 18:54:23 -04:00
Paul Kompfner
110c88bf92 Remove stale re-export of deleted google.openai subpackage 2026-03-31 18:53:55 -04:00
Paul Kompfner
19e521b75a Simplify LLMContextFrame handling in process_frame methods
Now that LLMContextFrame is the only frame that provides a context,
remove the intermediate `context = None` / `if context:` pattern
and handle context processing directly in the isinstance branch.
2026-03-31 18:35:48 -04:00
Paul Kompfner
394599d031 Remove deprecated OpenAILLMContext as well as everything (code paths or whole types) dependent on it (all of which were also deprecated) 2026-03-31 18:15:25 -04:00
mattie ruth backman
0f47076703 More RTVI version parsing improvements 2026-03-31 16:05:53 -04:00
mattie ruth backman
3e255f3d21 improve version format check 2026-03-31 16:05:53 -04:00
mattie ruth backman
565b9b961d add tests for rtvi versioning 2026-03-31 16:05:53 -04:00
mattie ruth backman
692c3c74d1 We should now expect clients to be version 1.0.0 with valid versioning info 2026-03-31 16:05:53 -04:00
Mark Backman
7d309b3340 Merge pull request #4208 from pipecat-ai/mb/remove-deprecated-services
Remove deprecated service module shims
2026-03-31 15:37:12 -04:00
Mark Backman
04e8444096 Add changelog for #4208 2026-03-31 15:34:16 -04:00
Mark Backman
7501effad5 Remove deprecated service module shims and old implementations
Delete deprecated import shims that only re-export from new locations:
- services/ai_services.py
- services/gemini_multimodal_live/
- services/aws_nova_sonic/
- services/openai_realtime/
- services/deepgram/{stt,tts}_sagemaker.py
- services/google/{llm_openai,llm_vertex,google}.py
- services/google/gemini_live/llm_vertex.py
- services/riva/
- services/nim/

Remove deprecated implementations replaced by newer services:
- services/openai_realtime_beta/ (use openai.realtime)
- services/google/openai/ (use google.llm)

Also removes associated examples and tests for deleted services.
2026-03-31 15:34:14 -04:00
Mark Backman
0c8ff9c4c3 Merge pull request #4209 from pipecat-ai/mb/grok-3-default
Change GrokLLMService default model to grok-3
2026-03-31 15:29:34 -04:00
Mark Backman
53f6426b0b Merge pull request #4216 from pipecat-ai/mb/add-missing-google-vertex
Add missing google-vertex.py file
2026-03-31 15:29:04 -04:00
Mark Backman
9e32ade44b Merge pull request #4203 from pipecat-ai/mb/fix-json-decode-tool-calls
Handle incomplete function call arguments from interrupted LLM streams
2026-03-31 15:28:53 -04:00
Mark Backman
2574d24400 Merge pull request #4202 from pipecat-ai/mb/fix-inworld-tts-streaming-utf8
Fix UTF-8 decode error in Inworld TTS streaming response
2026-03-31 15:28:37 -04:00
Mark Backman
27cb078716 Add missing google-vertex.py file 2026-03-31 15:25:52 -04:00
Mark Backman
ca636813a8 Merge pull request #4206 from pipecat-ai/mb/flatten-examples-dir
Move foundational examples to examples/
2026-03-31 15:23:49 -04:00
Mark Backman
47b41a0ff7 Rename services/ to voice/ and function-calling/, flatten to top level
Replace the nested services/speech/ and services/function-calling/ with
top-level voice/ and function-calling/ directories. Update eval script
paths and README to match.
2026-03-31 15:20:03 -04:00
Mark Backman
f14638a1fd Revert "Flatten services/ nesting: promote speech and function-calling to top level"
This reverts commit e1939ecd44.
2026-03-31 14:59:23 -04:00
Mark Backman
e1939ecd44 Flatten services/ nesting: promote speech and function-calling to top level
Move services/speech/* directly into services/ and services/function-calling/*
into top-level function-calling/. Update eval script paths and README.
2026-03-31 14:55:22 -04:00
Mark Backman
dc5b94f9e0 Merge pull request #4213 from pipecat-ai/mb/google-imagen-4
Update default Google Imagen model to imagen-4.0
2026-03-31 13:20:20 -04:00
Mark Backman
1d85aedcae Split features/ into audio/, observability/, and rag/ subfolders
Extract focused example groups from the catch-all features/ folder:
- audio/: audio recording, background sound, sound effects
- observability/: observer, heartbeats, sentry metrics
- rag/: mem0, gemini-rag, gemini grounding metadata

Update README to document the new folders.
2026-03-31 13:15:06 -04:00
Mark Backman
e719cbbe6d Reorganize examples into topic-based subfolders
Move 304 examples from a flat numbered directory into 14 descriptive
subfolders: getting-started, services (speech + function-calling),
transcription, vision, realtime, persistent-context,
context-summarization, update-settings (stt/tts/llm), turn-management,
thinking-and-mcp, transports, video-avatar, video-processing, and
features.

Strip numbered prefixes from filenames (e.g. 07c-interruptible-deepgram.py
becomes services/speech/deepgram.py) since the folder context makes them
redundant. Keep numbered prefixes only in getting-started/ where ordering
matters.

Update eval script paths and README to match the new structure.
2026-03-31 13:12:24 -04:00
Mark Backman
f2ce7ececc Move foundational examples to examples/ 2026-03-31 13:12:24 -04:00
kompfner
bd7496fa27 Merge pull request #4211 from pipecat-ai/pk/openai-responses-websocket-service-refactor
Introduce WebsocketLLMService and refactor OpenAIResponsesLLMService …
2026-03-31 13:02:45 -04:00
Paul Kompfner
0a8bcf58c4 Register on_connection_error event handler in WebsocketLLMService 2026-03-31 10:52:33 -04:00
Paul Kompfner
0fb45c6114 Guard _drain_cancelled_response against None websocket 2026-03-31 10:32:47 -04:00
Paul Kompfner
657a5def57 Use consistent 'inference' terminology in error messages 2026-03-31 10:17:29 -04:00
Paul Kompfner
30903042e5 Work around OpenAI Python SDK temperature bug in example 2026-03-31 10:16:30 -04:00
Mark Backman
9936ec16cb Add changelog for #4213 2026-03-31 09:28:31 -04:00
Mark Backman
212aff15c9 Update default Google Imagen model to imagen-4.0-generate-001 2026-03-31 09:16:24 -04:00
Paul Kompfner
f2b3f87661 Clarify discrete vs continuous contrast in WebsocketLLMService docstring 2026-03-30 23:46:23 -04:00
Paul Kompfner
77cfb181f6 Clarify per-inference helper usage in WebsocketLLMService docstring 2026-03-30 23:25:56 -04:00
Paul Kompfner
0b256936c6 Add ConnectionClosed to _receive_response_events raises docstring 2026-03-30 23:14:45 -04:00
Paul Kompfner
3922963c7a Extract helpers in _process_context to reduce repeated code 2026-03-30 23:10:38 -04:00
Paul Kompfner
ab9f2a35b6 Clean up TTFB metrics and previous_response state on inference failure 2026-03-30 23:04:06 -04:00
Paul Kompfner
f19d1183d8 Clean up TTFB metrics and previous_response state on retry failure 2026-03-30 23:00:22 -04:00
Paul Kompfner
9ad4fe6344 Use concrete inference language instead of abstract transaction terminology 2026-03-30 22:42:40 -04:00
Paul Kompfner
04882f6f2a Simplify _connect_websocket guard and remove unused State import 2026-03-30 22:32:08 -04:00
Paul Kompfner
712e42533d Introduce WebsocketLLMService and refactor OpenAIResponsesLLMService to use it
Add WebsocketLLMService as a base class for WebSocket-based LLM services,
parallel to WebsocketTTSService/WebsocketSTTService but codifying a
transactional request-response model rather than a continuous background
receive loop.

WebsocketLLMService provides:
- Connection lifecycle (start/stop/cancel → connect/disconnect)
- _ws_send/_ws_recv with transparent ConnectionClosed handling
  (auto-reconnect via exponential backoff → WebsocketReconnectedError)
- _ensure_connected with retry via _try_reconnect

OpenAIResponsesLLMService now inherits from WebsocketLLMService, removing
duplicated connection management code (_connect, _disconnect, _reconnect,
_ensure_connected, _ws_send, start, stop, cancel) and simplifying
_process_context from a loop with attempt tracking to a flat try/except
with a single retry.
2026-03-30 22:26:31 -04:00
Mark Backman
7d8b436018 Add changelog for #4209 2026-03-30 21:40:17 -04:00
Mark Backman
bf1856f610 Change GrokLLMService default model from grok-3-beta to grok-3
The grok-3 model is now generally available, so update the default
from the beta variant.
2026-03-30 21:39:33 -04:00
Mark Backman
248e0a4c90 Merge pull request #4207 from pipecat-ai/mb/remove-krisp
Remove docs uses of krisp optional dependency
2026-03-30 19:54:14 -04:00
Mark Backman
89dcd57577 Remove docs uses of krisp optional dependency 2026-03-30 19:50:40 -04:00
Mark Backman
32022a952e Merge pull request #4205 from pipecat-ai/mb/remove-quickstart
Remove quickstart example from repo
2026-03-30 18:58:49 -04:00
Aleix Conchillo Flaqué
65d9fcc315 Merge pull request #4204 from pipecat-ai/aleix/remove-some-deprecations
Remove deprecated APIs and modules
2026-03-30 15:32:53 -07:00
Mark Backman
b78ae40d3c Remove quickstart example from repo 2026-03-30 18:20:41 -04:00
Aleix Conchillo Flaqué
ece4d0661e update uv.lock 2026-03-30 15:06:05 -07:00
Aleix Conchillo Flaqué
82a852c1ff Add changelog for #4204 2026-03-30 15:06:05 -07:00
Aleix Conchillo Flaqué
5be1b9c8cb LLMService: remove deprecated request_image_frame() 2026-03-30 15:06:05 -07:00
Aleix Conchillo Flaqué
7913d4e188 FrameProcessor: remove deprecated wait_for_task() 2026-03-30 14:45:42 -07:00
Aleix Conchillo Flaqué
c8dd7c2b57 rtvi: remove old deprecations 2026-03-30 14:44:32 -07:00
Aleix Conchillo Flaqué
77e5f4acc1 runner(daily): remove deprecated configure_with_args() 2026-03-30 14:31:39 -07:00
Aleix Conchillo Flaqué
be8d4dfd87 TTSService: remove deprecated say() function 2026-03-30 14:29:30 -07:00
Aleix Conchillo Flaqué
bb2c60a998 transports: remove deprecated vad_enabled and vad_audio_passthrough 2026-03-30 14:28:34 -07:00
Aleix Conchillo Flaqué
7c644ed810 RTVIObserver: remove deprecated errors_enabled 2026-03-30 14:26:53 -07:00
Aleix Conchillo Flaqué
96ceec2a43 transports: remove deprecated camera_in_* and camera_out_* params 2026-03-30 14:24:40 -07:00
Aleix Conchillo Flaqué
d249473f0b AudioBufferProcessor: remove deprecated user_continuous_stream 2026-03-30 14:22:21 -07:00
Aleix Conchillo Flaqué
1da2018c85 PipelineTask: remove deprecated on_pipeline_ended/cancelled/stopped 2026-03-30 14:20:45 -07:00
Aleix Conchillo Flaqué
af126ec7cf PipelineParams: remove deprecated observers field 2026-03-30 14:18:07 -07:00
Aleix Conchillo Flaqué
340e58bf5c LLMService: remove old function call single argument 2026-03-30 14:16:18 -07:00
Aleix Conchillo Flaqué
7873159d0f LLMService: remove start_callback 2026-03-30 14:13:23 -07:00
Aleix Conchillo Flaqué
c783101741 frames: remove deprecated interruption frames 2026-03-30 14:08:42 -07:00
Aleix Conchillo Flaqué
73b8bbf963 frames: remove deprecated transport frames 2026-03-30 14:08:24 -07:00
Aleix Conchillo Flaqué
ebbe5acc8f frames: remove deprecated KeypadEntryFrame 2026-03-30 14:07:54 -07:00
Aleix Conchillo Flaqué
dd1bea2a5f audio(turn): remove FalSmartTurnAnalyzer and LocalSmartTurnAnalyzer 2026-03-30 14:04:29 -07:00
Aleix Conchillo Flaqué
136e6a58be audio(utils): remove create_default_resampler 2026-03-30 14:02:13 -07:00
Aleix Conchillo Flaqué
f0d04dde1c audio(filters): remove KrispFilter 2026-03-30 14:01:06 -07:00
Aleix Conchillo Flaqué
742a278c05 audio(filters): remove NoisereduceFilter 2026-03-30 13:58:35 -07:00
Aleix Conchillo Flaqué
b16befc9e9 transports(daily): remove deprecated frames 2026-03-30 13:56:25 -07:00
kompfner
0c11eb6fd0 Merge pull request #4141 from pipecat-ai/pk/openai-responses-websocket-service
feat: add WebSocket-based OpenAI Responses LLM service
2026-03-30 15:25:32 -04:00
Mark Backman
ea39389e03 Add changelog for #4203 2026-03-30 14:24:49 -04:00
Mark Backman
4adf0fd585 Handle incomplete function call arguments from interrupted LLM streams
When a user interruption causes the LLM chunk stream to exit early,
function call arguments may be incomplete JSON. Wrap json.loads() in
try/except JSONDecodeError to skip malformed function calls with a
warning instead of crashing. Fixes #2461.
2026-03-30 14:24:04 -04:00
Mark Backman
465b9bcbc6 Add changelog for #4202 2026-03-30 14:16:21 -04:00
Mark Backman
3f4814cf84 Fix UTF-8 decode error in Inworld TTS streaming response
Buffer raw bytes and only decode after splitting on newline boundaries,
preventing multi-byte UTF-8 characters from being split at chunk edges.

Fixes #3538
2026-03-30 14:15:06 -04:00
Mark Backman
f6a3678f93 Improve tests 2026-03-30 12:46:30 -04:00
Mark Backman
3af93ed257 Add changelog for #4201 2026-03-30 12:31:26 -04:00
Mark Backman
f37bf989dd Make reconnection failure error non-fatal to allow service failover
A single service failing to reconnect should not kill the entire
pipeline. Non-fatal errors flow through the pipeline so application
code (e.g. ServiceSwitcher) can handle failover to a backup service.
2026-03-30 12:29:53 -04:00
Mark Backman
86a16d53bc Detect quick connection failures in WebsocketService to prevent infinite reconnection loops
When a WebSocket server accepts the handshake but immediately closes the
connection (e.g. invalid API key returning close code 1008), the existing
exponential backoff does not help because the handshake keeps succeeding.
This tracks how long each connection survives and emits a non-fatal
ErrorFrame after 3 consecutive sub-5s failures, allowing ServiceSwitcher
failover instead of killing the pipeline.

Fixes #3711
2026-03-30 12:23:11 -04:00
Paul Kompfner
0efef19d60 Fix code review issues in WebSocket Responses service
- Use finally block in _disconnect to ensure state is always cleaned
  up, even if websocket.close() throws — prevents stale cancellation
  state (e.g. _cancel_pending_response) from polluting a new connection
- Catch ConnectionClosed in _drain_cancelled_response alongside
  TimeoutError — prevents _needs_drain from staying True and bricking
  the service on every subsequent inference attempt
- Fall back to OPENAI_API_KEY env var when api_key is not passed,
  since the WebSocket connection uses raw websockets (not the
  AsyncOpenAI client which handles this automatically)
- Use _clear_cancellation_state() instead of piecemeal resets where
  appropriate
2026-03-30 10:54:47 -04:00
Mark Backman
87b8f38a48 Merge pull request #4198 from pipecat-ai/mb/readme-update-2026-03-30
Add missing services to README available services table
2026-03-30 10:46:52 -04:00
Mark Backman
e1a3ddbb57 Add missing services to README available services table
Adds Kokoro (TTS), LiveKit and WhatsApp (Transport), Genesys
(Serializers), and Krisp Viva and RNNoise (Audio Processing).
2026-03-30 10:06:14 -04:00
Paul Kompfner
b5683556d4 Remove duplicate entries in run-release-evals.py, which appeared after a rebase 2026-03-30 10:03:43 -04:00
Paul Kompfner
26f85687d6 Handle response cancellation by draining before next inference
Instead of trying to filter stale events inline (unreliable — the API
doesn't provide a way to correlate events to a specific response),
drain remaining events from a cancelled response before starting the
next one. On cancellation, send response.cancel and set a drain flag.
At the start of the next _process_context, read and discard events
until a terminal event arrives, ensuring a clean connection. Falls
back to reconnecting if draining times out.
2026-03-30 09:59:03 -04:00
Paul Kompfner
670ce30a1c Document why HTTP variant doesn't use previous_response_id
Over HTTP, previous_response_id requires store=True (30-day OpenAI-side
conversation storage). The WebSocket variant avoids this via a
connection-local in-memory cache that works with store=False. Add
comments explaining this in both class docstrings, at the store=False
parameter, and in the adapter's previous_response_id note.
2026-03-30 09:59:03 -04:00
Paul Kompfner
1c8d31de70 Add trace logging for previous_response_id decisions and fix example
Add detailed trace-level logging to _apply_previous_response_optimization
showing why the optimization was applied or fell back to full context,
including the relevant data for debugging.

Use append_to_context=False for the filler TTSSpeakFrame in the
function-calling example to avoid altering the conversation history
and breaking the previous_response_id prefix match.
2026-03-30 09:59:03 -04:00
Paul Kompfner
9defff2a34 Skip server-known output items in previous_response_id optimization
When using previous_response_id, the server already knows its own
output from the previous response. Store the raw response output and,
on the next call, compare it against the items following the matched
input prefix — checking role and text content for messages, and call_id
for function calls. If the items match, skip them and send only truly
new input (user messages, tool results). Falls back to full context if
either the prefix or the output comparison fails.
2026-03-30 09:59:03 -04:00
Paul Kompfner
59d28f9fd2 Add changelog for WebSocket OpenAI Responses service 2026-03-30 09:59:03 -04:00
Paul Kompfner
f2a8a9e753 Add WebSocket-based OpenAI Responses LLM service with previous_response_id optimization
Introduce a WebSocket variant of the OpenAI Responses API service that
maintains a persistent connection to wss://api.openai.com/v1/responses
for lower-latency inference. The WebSocket variant automatically uses
previous_response_id to send only incremental context when possible,
falling back to full context on reconnection or cache miss.

The WebSocket variant becomes the new default OpenAIResponsesLLMService,
and the HTTP variant is renamed to OpenAIResponsesHttpLLMService. Both
share a private base class with common settings, parameter building,
and run_inference (always HTTP) logic.
2026-03-30 09:58:56 -04:00
Mark Backman
d1eb2699f3 Merge pull request #4192 from pipecat-ai/mb/update-langchain
Update langchain dependencies to latest major versions
2026-03-30 08:54:41 -04:00
Mark Backman
2e0f5fc6e9 Merge pull request #4194 from pipecat-ai/mb/update-community-integrations-package-convention
Add pipecat-{vendor} package naming convention to community guide
2026-03-30 08:52:28 -04:00
Mark Backman
dd3ca6fbba Merge pull request #4191 from pipecat-ai/mb/remove-openpipe
Remove OpenPipe integration
2026-03-30 08:52:14 -04:00
Mark Backman
171692aa30 Add pipecat-{vendor} package naming convention to community guide
Formalizes the package naming pattern that most community contributors
already follow organically, improving discoverability on PyPI.
2026-03-29 12:39:20 -04:00
Mark Backman
81ddd103f9 Fix KeyError on context messages without role in RTVI observer
Use dict.get() instead of direct key access to handle context messages
that don't have a 'role' key, such as tool results.
2026-03-29 10:28:00 -04:00
Mark Backman
8c9e189394 Fix langchain imports for langchain 1.x compatibility
ChatPromptTemplate moved from langchain.prompts to langchain_core.prompts
in langchain 1.x.
2026-03-29 10:27:48 -04:00
Mark Backman
b6579dc763 Update uv lock with latest versions of Pygments and cryptography 2026-03-29 10:20:45 -04:00
Mark Backman
abd63336e4 Add changelog for #4192 2026-03-29 10:18:52 -04:00
Mark Backman
ccb9dc20f8 Update langchain dependencies to latest major versions
Update langchain 0.3→1.2, langchain-community 0.3→0.4, and
langchain-openai 0.3→1.1. This also unblocks openai>=2.26 which
was previously constrained by the now-removed openpipe package.
2026-03-29 10:17:28 -04:00
Mark Backman
2177e28ee1 Remove OpenPipe integration
OpenPipe was acquired by CoreWeave in September 2025. The Python package
hasn't been updated since June 2025 and the repo since 2024. The openpipe
package caps openai<=1.97.1, creating dependency conflicts with other
extras. Remove the dead integration to clean up the codebase.
2026-03-29 10:12:35 -04:00
Mark Backman
3eb7c2bcd9 Merge pull request #4187 from OmerCohenAviv/fix/heartbeat-monitor-configurable
Fix heartbeat monitor timeout not respecting custom heartbeat interval
2026-03-29 09:31:12 -04:00
Mark Backman
878940f94e Merge pull request #4189 from Arindam200/main
Add NebiusLLMService for Nebius Token Factory
2026-03-29 09:03:06 -04:00
Mark Backman
a3aeafcb2d Alphabetize nebius entry in pyproject.toml extras 2026-03-29 08:58:01 -04:00
Mark Backman
63254fe337 Add NebiusLLMService with developer role and tool support fixes
- Add Nebius LLM service wrapping OpenAI-compatible Token Factory API
- Set supports_developer_role = False (Nebius rejects developer role)
- Default to openai/gpt-oss-120b model (supports function calling)
- Add Nebius function-calling example and env.example entry
- Fix Sarvam developer role support
- Update examples to use developer role for intro messages
2026-03-29 08:50:11 -04:00
Arindam200
39919f7889 Add NebiusLLMService for Nebius Token Factory
Adds an OpenAI-compatible LLM service for Nebius Token Factory, supporting
open-source models (Meta Llama, Qwen, DeepSeek) via their OpenAI-compatible
REST API at https://api.tokenfactory.nebius.com/v1/.
2026-03-29 14:35:46 +05:30
OmercohenAviv
f2e0f5d20c move wait_time out of loop 2026-03-29 00:05:21 +03:00
OmercohenAviv
2724ef6d6f non optional 2026-03-28 12:12:02 +03:00
OmercohenAviv
33fb8852e6 ruff 2026-03-28 12:05:30 +03:00
OmercohenAviv
5fe48da2fb Merge branch 'main' into fix/heartbeat-monitor-configurable 2026-03-28 11:57:23 +03:00
OmercohenAviv
dccd98ec8a test 2026-03-28 11:53:51 +03:00
Aleix Conchillo Flaqué
a84c69858e Merge pull request #4185 from pipecat-ai/changelog-0.0.108
Release 0.0.108 - Changelog Update
2026-03-27 21:47:53 -07:00
aconchillo
ca224219dc Update changelog for version 0.0.108 2026-03-27 21:43:37 -07:00
Aleix Conchillo Flaqué
83dc979d19 Merge pull request #4186 from pipecat-ai/mb/fix-websocket-disconnect-race-condition
Fix FastAPI WebSocket disconnect race condition
2026-03-27 21:40:21 -07:00
Aleix Conchillo Flaqué
fc76b3f2fb update pyproject.toml and uv.lock 2026-03-27 21:36:03 -07:00
Mark Backman
4670370dbb Add changelog for #4186 2026-03-28 00:02:44 -04:00
Mark Backman
47e53890e3 Fix FastAPI WebSocket disconnect race condition causing pipeline hang
When the remote side disconnects while send() is in flight, send() was
setting _closing=True. This prevented the receive loop from firing
on_client_disconnected, causing the pipeline to hang waiting for a
disconnect signal that never came.

The fix removes _closing from send() (that flag means we initiated the
close) and instead checks Starlette application_state in _can_send()
to suppress subsequent sends after a failure.

Fixes #3912
2026-03-28 00:01:25 -04:00
Aleix Conchillo Flaqué
195180b6f4 Merge pull request #4184 from pipecat-ai/aleix/fix-sarvam-examples-role
Fix Sarvam examples to use 'user' role instead of 'developer'
2026-03-27 20:34:59 -07:00
Aleix Conchillo Flaqué
8b64166bb7 Fix Sarvam examples to use 'user' role instead of 'developer'
Sarvam uses the OpenAI-compatible API but does not support the
'developer' role, causing errors. Use 'user' role instead.
2026-03-27 20:33:25 -07:00
Aleix Conchillo Flaqué
1d18995435 Merge pull request #4183 from pipecat-ai/aleix/fix-task-scheduling
Yield after create_task to ensure timer tasks are scheduled
2026-03-27 20:32:32 -07:00
Aleix Conchillo Flaqué
ea7324b2ba Add changelog for #4183 2026-03-27 19:03:55 -07:00
Aleix Conchillo Flaqué
52ed7137af Yield after create_task to ensure timer tasks are scheduled
Add `await asyncio.sleep(0)` after `create_task()` calls in
UserIdleController, SpeechTimeoutUserTurnStopStrategy,
TurnAnalyzerUserTurnStopStrategy, and UserTurnCompletionLLMServiceMixin
so the event loop schedules the newly created timer tasks before the
caller continues.
2026-03-27 19:03:23 -07:00
kompfner
b33df03724 Merge pull request #4179 from pipecat-ai/pk/fix-gemini-live-vertex
Don't send history_config for Gemini Live Vertex (unsupported)
2026-03-27 17:34:29 -04:00
Paul Kompfner
28fbe1db08 Don't send history_config for Gemini Live Vertex (unsupported) 2026-03-27 17:30:47 -04:00
kompfner
9240e92d9f Merge pull request #4177 from pipecat-ai/pk/tweak-26i-for-gemini-3.1-flash-live-support
Tweak 26i example system instruction for Gemini 3.1 Flash Live compat…
2026-03-27 17:20:06 -04:00
Paul Kompfner
5caf53f086 Tweak 26i example system instruction for Gemini 3.1 Flash Live compatibility
Gemini 3.1 Flash Live won't reliably report ending its turn until
after it says something following a tool call. Restructure the system
instruction so the model says goodbye *after* calling
end_conversation, and add a comment explaining the deferred EndFrame
behavior that makes this work.
2026-03-27 17:13:17 -04:00
Mark Backman
ac2716811c Merge pull request #4176 from pipecat-ai/mb/fix-websocket-rtvi-messages
Fix RTVI events not delivered over WebSocket transports
2026-03-27 16:50:37 -04:00
Mark Backman
d313d56776 Fix RTVI events not delivered over WebSocket transports
The base serializer filters out RTVI protocol messages by default
(ignore_rtvi_messages=True) to prevent them from being sent over
telephony media streams. ProtobufFrameSerializer is used by WebSocket
transports, which are the delivery channel for these messages, so
disable the filter there.
2026-03-27 16:47:11 -04:00
OmercohenAviv
de8ba68589 Fix heartbeat monitor timeout not respecting custom heartbeat interval
The heartbeat monitor timeout (`HEARTBEAT_MONITOR_SECS`) was a static
module-level constant that never derived from the user-configurable
`heartbeats_period_secs`. This meant overriding the heartbeat interval
had no effect on the monitor window, causing spurious warnings or
delayed detection depending on the configured interval.

Add a new `heartbeats_monitor_secs` parameter to `PipelineParams` so
the monitor timeout is independently configurable (defaults to 10s).
The monitor handler now reads from the instance param instead of the
hard-coded constant.

Made-with: Cursor
2026-03-27 19:41:06 +03:00
Om Chauhan
fa982a05c0 added changelog 2026-03-18 09:46:15 +05:30
Om Chauhan
419c7d4450 fix: default thinking config for Gemini 3+ Flash models 2026-03-18 09:33:54 +05:30
668 changed files with 14431 additions and 23551 deletions

View File

@@ -144,7 +144,7 @@ class InputParams(BaseModel):
#### Examples
Validated against `examples/foundational/07-interruptible.py`:
Validated against `examples/07-interruptible.py`:
- Proper `create_transport()` usage
- Correct pipeline structure

View File

@@ -1,30 +0,0 @@
# flyctl launch added from .gitignore
**/.vscode
**/env
**/__pycache__
**/*~
**/venv
#*#
# Distribution / packaging
**/.Python
**/build
**/develop-eggs
**/dist
**/downloads
**/eggs
**/.eggs
**/lib
**/lib64
**/parts
**/sdist
**/var
**/wheels
**/share/python-wheels
**/*.egg-info
**/.installed.cfg
**/*.egg
**/MANIFEST
**/.DS_Store
**/.env
fly.toml

View File

@@ -14,7 +14,7 @@ jobs:
strategy:
fail-fast: false
matrix:
python-version: ['3.10.19', '3.11.14', '3.12.12', '3.13.12']
python-version: ['3.11.15', '3.12.13', '3.13.12', '3.14.3']
name: Python ${{ matrix.python-version }}
steps:
@@ -42,7 +42,7 @@ jobs:
- name: Test uv sync with all extras
run: |
uv sync --group dev --all-extras --no-extra krisp
uv sync --group dev --all-extras
- name: Verify installation
run: |

View File

@@ -1,51 +0,0 @@
name: Sync Quickstart to pipecat-quickstart repo
on:
push:
branches: [main]
paths:
- 'examples/quickstart/**'
workflow_dispatch: # Manual trigger
jobs:
sync-quickstart:
runs-on: ubuntu-latest
steps:
- name: Checkout main repo
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Checkout quickstart repo
uses: actions/checkout@v4
with:
repository: pipecat-ai/pipecat-quickstart
token: ${{ secrets.QUICKSTART_SYNC_TOKEN }}
path: quickstart-repo
- name: Sync files (excluding uv.lock and README.md)
run: |
# Copy all files except uv.lock and README.md
find examples/quickstart -type f \
-not -name "README.md" \
-not -name "uv.lock" \
-exec cp {} quickstart-repo/ \;
- name: Commit and push changes
run: |
cd quickstart-repo
git config user.name "GitHub Action"
git config user.email "action@github.com"
git add .
# Only commit if there are changes
if ! git diff --staged --quiet; then
git commit -m "Sync from pipecat main repo
Updated files from examples/quickstart/
Commit: ${{ github.sha }}
"
git push
else
echo "No changes to sync"
fi

View File

@@ -1,8 +1,13 @@
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.12.1
- repo: local
hooks:
- id: ruff
language_version: python3
args: [--fix]
name: ruff
entry: uv run ruff check --fix
language: system
types: [python]
- id: ruff-format
name: ruff-format
entry: uv run ruff format
language: system
types: [python]

View File

@@ -11,7 +11,7 @@ build:
jobs:
post_install:
- pip install uv
- UV_PROJECT_ENVIRONMENT=$READTHEDOCS_VIRTUALENV_PATH uv sync --group docs --all-extras --no-extra krisp --no-extra gstreamer --no-extra local_smart_turn --no-extra moondream --no-extra riva --no-extra mlx-whisper
- UV_PROJECT_ENVIRONMENT=$READTHEDOCS_VIRTUALENV_PATH uv sync --group docs --all-extras --no-extra gstreamer --no-extra local_smart_turn --no-extra moondream --no-extra mlx-whisper
sphinx:
configuration: docs/api/conf.py

View File

@@ -7,6 +7,986 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
<!-- towncrier release notes start -->
## [1.0.0] - 2026-04-14
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](https://github.com/pipecat-ai/pipecat/pull/3995))
- Added Inworld Realtime LLM service with WebSocket-based cascade STT/LLM/TTS,
semantic VAD, function calling, and Router support.
(PR [#4140](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4217))
- Added `enable_prompt_caching` setting to `AWSBedrockLLMService` for Bedrock
ConverseStream prompt caching.
(PR [#4219](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4282))
- Added `pcm_32000` and `pcm_48000` sample rate support to ElevenLabs TTS
services.
(PR [#4293](https://github.com/pipecat-ai/pipecat/pull/4293))
- Added `enable_logging` parameter to `ElevenLabsHttpTTSService`. Set to
`False` to enable zero retention mode (enterprise only).
(PR [#4293](https://github.com/pipecat-ai/pipecat/pull/4293))
### Changed
- Updated `onnxruntime` from 1.23.2 to 1.24.3, adding support for Python 3.14.
(PR [#3984](https://github.com/pipecat-ai/pipecat/pull/3984))
- MCPClient now requires async with MCPClient(...) as mcp: or explicit
start()/close() calls to manage the connection lifecycle.
(PR [#4034](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4201))
- Changed `GrokLLMService` default model from `grok-3-beta` to `grok-3`, now
that the model is generally available.
(PR [#4209](https://github.com/pipecat-ai/pipecat/pull/4209))
- `GoogleImageGenService` now defaults to `imagen-4.0-generate-001` (previously
`imagen-3.0-generate-002`).
(PR [#4213](https://github.com/pipecat-ai/pipecat/pull/4213))
- ⚠️ `BaseOpenAILLMService.get_chat_completions()` now accepts an `LLMContext`
instead of `OpenAILLMInvocationParams`. If you override this method, update
your signature accordingly.
(PR [#4215](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4191))
- ⚠️ Removed `NoisereduceFilter`. Use system-level noise reduction or a
service-based alternative instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed deprecated `vad_enabled` and `vad_audio_passthrough` transport
params.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed `FrameProcessor.wait_for_task()`. Use `create_task()` and manage
tasks with the built-in `TaskManager` instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed deprecated transport frames: `TransportMessageFrame`,
`TransportMessageUrgentFrame`, `InputTransportMessageUrgentFrame`,
`DailyTransportMessageFrame`, and `DailyTransportMessageUrgentFrame`. Use
`OutputTransportMessageFrame`, `OutputTransportMessageUrgentFrame`,
`InputTransportMessageFrame`, `DailyOutputTransportMessageFrame`, and
`DailyOutputTransportMessageUrgentFrame` instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed `create_default_resampler()` from `pipecat.audio.utils`.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed `DailyRunner.configure_with_args()`. Use `PipelineRunner` with
`RunnerArguments` instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed deprecated `on_pipeline_ended`, `on_pipeline_cancelled`, and
`on_pipeline_stopped` events from `PipelineTask`. Use `on_pipeline_finished`
instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed single-argument function call support from `LLMService`. Functions
must use named parameters instead of a single `arguments` parameter.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed `FalSmartTurnAnalyzer` and `LocalSmartTurnAnalyzer`.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed `RTVIObserver.errors_enabled` parameter.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed deprecated `KeypadEntryFrame` alias.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed deprecated interruption frames: `StartInterruptionFrame` and
`BotInterruptionFrame`. Use `InterruptionFrame` and `InterruptionTaskFrame`
instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed `LLMService.request_image_frame()`. Push a `UserImageRequestFrame`
instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed `TTSService.say()`. Push a `TTSSpeakFrame` into the pipeline
instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed `KrispFilter`. The `krisp` extra has been removed from
`pyproject.toml`.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed `AudioBufferProcessor.user_continuous_stream` parameter. Use
`user_audio_passthrough` instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed `LLMService.start_callback` parameter. Register an
`on_llm_response_start` event handler instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed deprecated `observers` field from `PipelineParams`. Pass observers
directly to `PipelineTask` constructor instead.
(PR [#4204](https://github.com/pipecat-ai/pipecat/pull/4204))
- ⚠️ Removed deprecated `pipecat.services.openai_realtime` package. Use
`pipecat.services.openai.realtime` instead.
(PR [#4208](https://github.com/pipecat-ai/pipecat/pull/4208))
- ⚠️ Removed deprecated `pipecat.services.google.llm_vertex` module. Use
`pipecat.services.google.vertex.llm` instead.
(PR [#4208](https://github.com/pipecat-ai/pipecat/pull/4208))
- ⚠️ Removed deprecated `GoogleLLMOpenAIBetaService` from
`pipecat.services.google.openai`. Use `GoogleLLMService` from
`pipecat.services.google.llm` instead.
(PR [#4208](https://github.com/pipecat-ai/pipecat/pull/4208))
- ⚠️ Removed deprecated `OpenAIRealtimeBetaLLMService` and
`AzureRealtimeBetaLLMService`. Use `OpenAIRealtimeLLMService` and
`AzureRealtimeLLMService` from `pipecat.services.openai.realtime` and
`pipecat.services.azure.realtime` instead.
(PR [#4208](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4208))
- ⚠️ Removed deprecated `pipecat.services.google.gemini_live.llm_vertex`
module. Use `pipecat.services.google.gemini_live.vertex.llm` instead.
(PR [#4208](https://github.com/pipecat-ai/pipecat/pull/4208))
- ⚠️ Removed deprecated `pipecat.services.nim` package. Use
`pipecat.services.nvidia.llm` instead (`NimLLMService``NvidiaLLMService`).
(PR [#4208](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4208))
- ⚠️ Removed deprecated `pipecat.services.aws_nova_sonic` package. Use
`pipecat.services.aws.nova_sonic` instead.
(PR [#4208](https://github.com/pipecat-ai/pipecat/pull/4208))
- ⚠️ Removed deprecated `pipecat.services.riva` package. Use
`pipecat.services.nvidia.stt` and `pipecat.services.nvidia.tts` instead
(`RivaSTTService``NvidiaSTTService`, `RivaTTSService`
`NvidiaTTSService`).
(PR [#4208](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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:
```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)
```
(PR [#4215](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4215))
- ⚠️ Removed `GatedOpenAILLMContextAggregator` (from
`pipecat.processors.aggregators.gated_open_ai_llm_context`). Use
`GatedLLMContextAggregator` (from
`pipecat.processors.aggregators.gated_llm_context`) instead.
(PR [#4215](https://github.com/pipecat-ai/pipecat/pull/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:
```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)
```
(PR [#4215](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4225))
- ⚠️ Removed deprecated `pipecat.sync` package. Use `pipecat.utils.sync`
instead.
(PR [#4225](https://github.com/pipecat-ai/pipecat/pull/4225))
- ⚠️ Removed deprecated `TranscriptionMessage`, `ThoughtTranscriptionMessage`,
and `TranscriptionUpdateFrame` from `pipecat.frames.frames`.
(PR [#4228](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4228))
- ⚠️ Removed deprecated `pipecat.processors.transcript_processor` module
(`TranscriptProcessor`, `TranscriptProcessorConfig`). Use pipeline observers
instead.
(PR [#4228](https://github.com/pipecat-ai/pipecat/pull/4228))
- ⚠️ Removed deprecated `EmulateUserStartedSpeakingFrame` and
`EmulateUserStoppedSpeakingFrame` frames, and the `emulated` field from
`UserStartedSpeakingFrame` / `UserStoppedSpeakingFrame`.
(PR [#4228](https://github.com/pipecat-ai/pipecat/pull/4228))
- ⚠️ Removed deprecated `interruption_strategies` parameter from
`PipelineParams`, `StartFrame`, and `FrameProcessor`. Use
`LLMUserAggregator`'s `user_turn_strategies` parameter instead.
(PR [#4228](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4228))
- ⚠️ Removed deprecated `pipecat.utils.tracing.class_decorators` module. Use
`pipecat.utils.tracing.service_decorators` instead.
(PR [#4228](https://github.com/pipecat-ai/pipecat/pull/4228))
- ⚠️ Removed deprecated `add_pattern_pair` method from `PatternPairAggregator`.
Use `add_pattern` instead.
(PR [#4228](https://github.com/pipecat-ai/pipecat/pull/4228))
- ⚠️ Removed deprecated `UserResponseAggregator` class from
`pipecat.processors.aggregators.user_response`. Use `LLMUserAggregator`
instead.
(PR [#4228](https://github.com/pipecat-ai/pipecat/pull/4228))
- ⚠️ Removed `ExternalUserTurnStrategies` and the automatic fallback to it in
`LLMUserAggregator` when a `SpeechControlParamsFrame` was received from the
transport.
(PR [#4229](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4229))
- ⚠️ Removed deprecated `TranscriptionUserTurnStopStrategy` alias (deprecated
in 0.0.102). Use `SpeechTimeoutUserTurnStopStrategy` instead.
(PR [#4232](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4232))
- ⚠️ Removed deprecated `send_transcription_frames` parameter from
`OpenAIRealtimeLLMService` (deprecated in 0.0.92). Transcription frames are
always sent.
(PR [#4232](https://github.com/pipecat-ai/pipecat/pull/4232))
- ⚠️ Removed deprecated `UserIdleProcessor` (deprecated in 0.0.100). Use
`LLMUserAggregator` with the `user_idle_timeout` parameter instead.
(PR [#4232](https://github.com/pipecat-ai/pipecat/pull/4232))
- ⚠️ Removed deprecated `UserBotLatencyLogObserver` (deprecated in 0.0.102).
Use `UserBotLatencyObserver` with its `on_latency_measured` event handler
instead.
(PR [#4232](https://github.com/pipecat-ai/pipecat/pull/4232))
- ⚠️ Removed the `riva` install extra. Use `nvidia` instead (`pip install
"pipecat-ai[nvidia]"`).
(PR [#4235](https://github.com/pipecat-ai/pipecat/pull/4235))
- Removed the empty `remote-smart-turn` install extra (was already a no-op).
(PR [#4235](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4239))
- ⚠️ Removed deprecated `PIPECAT_OBSERVER_FILES` environment variable support.
Use `PIPECAT_SETUP_FILES` instead.
(PR [#4267](https://github.com/pipecat-ai/pipecat/pull/4267))
### Fixed
- Fixed `IdleFrameProcessor` where `asyncio.Event` was unconditionally cleared
in a `finally` block instead of only on the success path.
(PR [#3796](https://github.com/pipecat-ai/pipecat/pull/3796))
- Fixed MCPClient opening a new connection for every tool call instead of
reusing the session.
(PR [#4034](https://github.com/pipecat-ai/pipecat/pull/4034))
- GoogleLLMService now applies a low-latency thinking default
(`thinking_level="minimal"`) for Gemini 3+ Flash models.
(PR [#4067](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4220))
- Fixed duplicate LLM replies that could occur when multiple async function
call results arrived while an LLM request was already queued.
(PR [#4230](https://github.com/pipecat-ai/pipecat/pull/4230))
- Fixed undefined `_warn_deprecated_param` calls in `OpenAIRealtimeLLMService`
and `GrokRealtimeLLMService` for the deprecated `session_properties` init
parameter.
(PR [#4232](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/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](https://github.com/pipecat-ai/pipecat/pull/4295))
## [0.0.108] - 2026-03-27
### Added
- Added `SarvamLLMService` with support for `sarvam-30b`, `sarvam-30b-16k`,
`sarvam-105b` and `sarvam-105b-32k`.
(PR [#3978](https://github.com/pipecat-ai/pipecat/pull/3978))
- Added `on_turn_context_created(context_id)` hook to `TTSService`. Override
this to perform provider-specific setup (e.g. eagerly opening a server-side
context) before text starts flowing. Called each time a new turn context ID
is created.
(PR [#4013](https://github.com/pipecat-ai/pipecat/pull/4013))
- Added `XAIHttpTTSService` for text-to-speech using xAI's HTTP TTS API.
(PR [#4031](https://github.com/pipecat-ai/pipecat/pull/4031))
- Added support for "developer" role messages in conversation context across
all LLM adapters. For non-OpenAI services (Anthropic, Google, AWS Bedrock),
"developer" messages are converted to "user" messages (use
`system_instruction` to set the system instruction). For OpenAI services,
"developer" messages pass through in conversation history. For the Responses
API, they are kept as "developer" role (matching the existing "system" →
"developer" conversion).
(PR [#4089](https://github.com/pipecat-ai/pipecat/pull/4089))
- Added `SmallestTTSService`, a WebSocket-based TTS service integration with
Smallest AI's Waves API. Supports the Lightning v2 and v3.1 models with
configurable voice, language, speed, consistency, similarity, and enhancement
settings.
(PR [#4092](https://github.com/pipecat-ai/pipecat/pull/4092))
- Added warnings in turn stop strategies when `VADParams.stop_secs` differs
from the recommended default (0.2s) or when `stop_secs >= STT p99 latency`,
which collapses the STT wait timeout to 0s and may cause delayed turn
detection. The warnings guide developers to re-run the
[stt-benchmark](https://github.com/pipecat-ai/stt-benchmark) with their VAD
settings.
(PR [#4115](https://github.com/pipecat-ai/pipecat/pull/4115))
- Added `domain` parameter to `AssemblyAISTTSettings` for specialized
recognition modes such as Medical Mode (`domain="medical-v1"`).
(PR [#4117](https://github.com/pipecat-ai/pipecat/pull/4117))
- Added `NovitaLLMService` for using Novita AI's LLM models via their
OpenAI-compatible API.
(PR [#4119](https://github.com/pipecat-ai/pipecat/pull/4119))
- Added `cleanup()` method to `VADAnalyzer` and `VADController` so VAD analyzer
resources are properly released when no longer needed. Custom `VADAnalyzer`
subclasses can override `cleanup()` to free any held resources.
(PR [#4120](https://github.com/pipecat-ai/pipecat/pull/4120))
- Added `on_end_of_turn` event handler to `AssemblyAISTTService`. This fires
after the final transcript is pushed, providing a reliable hook for
end-of-turn logic that doesn't race with `TranscriptionFrame`. Works in both
Pipecat and AssemblyAI turn detection modes.
(PR [#4128](https://github.com/pipecat-ai/pipecat/pull/4128))
- Added `DeepgramFluxSageMakerSTTService` for running Deepgram Flux
speech-to-text on AWS SageMaker endpoints. Use with
`ExternalUserTurnStrategies` to take advantage of Flux's turn detection.
(PR [#4143](https://github.com/pipecat-ai/pipecat/pull/4143))
- Added `Mem0MemoryService.get_memories()` convenience method for retrieving
all stored memories outside the pipeline (e.g. to build a personalized
greeting at connection time). This avoids the need to manually handle client
type branching, filter construction, and async wrapping.
(PR [#4156](https://github.com/pipecat-ai/pipecat/pull/4156))
### Changed
- Added context prewarming path for `InworldTTSService` to improve first audio
latency.
(PR [#4013](https://github.com/pipecat-ai/pipecat/pull/4013))
- Added `KrispVivaVadAnalyzer` for Voice Activity Detection using the Krisp
VIVA SDK (requires `krisp_audio`).
(PR [#4022](https://github.com/pipecat-ai/pipecat/pull/4022))
- Modified `InworldTTSService` to close context at end of turn instead of
relying on idle timeout.
(PR [#4028](https://github.com/pipecat-ai/pipecat/pull/4028))
- Added Gemini 3 support to the Gemini Live service.
(PR [#4078](https://github.com/pipecat-ai/pipecat/pull/4078))
- `TTSService`: the default `stop_frame_timeout_s` (idle time before an
automatic `TTSStoppedFrame` is pushed when `push_stop_frames=True`) has
changed from `2.0` to `3.0` seconds.
(PR [#4084](https://github.com/pipecat-ai/pipecat/pull/4084))
- ⚠️ `GeminiLLMAdapter` now only treats `messages[0]` as the initial system
message, matching all other adapters. Previously it searched for the first
"system" message anywhere in the conversation history. A "system" message
appearing later in the list will now be converted to "user" instead of being
extracted as the system instruction.
(PR [#4089](https://github.com/pipecat-ai/pipecat/pull/4089))
- Fixed `InworldTtsService` to fallback to full text when TTS timestamps are
not received.
(PR [#4113](https://github.com/pipecat-ai/pipecat/pull/4113))
- ⚠️ Realtime services (Gemini Live, OpenAI Realtime, Grok Realtime, Nova
Sonic) now prefer `system_instruction` from service settings over an initial
system message in the LLM context, matching the behavior of non-realtime
services. Previously, context-provided system instructions took precedence. A
warning is now logged when both are set.
(PR [#4130](https://github.com/pipecat-ai/pipecat/pull/4130))
- Bumped `nvidia-riva-client` minimum version to `>=2.25.1`.
(PR [#4136](https://github.com/pipecat-ai/pipecat/pull/4136))
- Upgraded `protobuf` from 5.x to 6.x (`>=6.31.1,<7`).
(PR [#4136](https://github.com/pipecat-ai/pipecat/pull/4136))
- Unrecognized language strings (e.g. Deepgram's `"multi"`) no longer produce a
warning at startup. The log message has been downgraded to debug level since
these are valid service-specific values that are passed through correctly.
(PR [#4137](https://github.com/pipecat-ai/pipecat/pull/4137))
- `GrokLLMService` and `GrokRealtimeLLMService` now live in the
`pipecat.services.xai` module alongside `XAIHttpTTSService`, since all three
use the same xAI API. Update imports from `pipecat.services.grok.*` to
`pipecat.services.xai.*` (e.g. `from pipecat.services.xai.llm import
GrokLLMService`).
(PR [#4142](https://github.com/pipecat-ai/pipecat/pull/4142))
- ⚠️ Bumped `mem0ai` dependency from `~=0.1.94` to `>=1.0.8,<2`. Users of the
`mem0` extra will need to update their mem0ai package.
(PR [#4156](https://github.com/pipecat-ai/pipecat/pull/4156))
### Deprecated
- `pipecat.services.grok.llm`, `pipecat.services.grok.realtime.llm`, and
`pipecat.services.grok.realtime.events` are deprecated. The old import paths
still work but emit a `DeprecationWarning`; use `pipecat.services.xai.llm`,
`pipecat.services.xai.realtime.llm`, and
`pipecat.services.xai.realtime.events` instead.
(PR [#4142](https://github.com/pipecat-ai/pipecat/pull/4142))
### Removed
- ⚠️ `TTSService.add_word_timestamps()` no longer supports the `"Reset"` and
`"TTSStoppedFrame"` sentinel strings. If you have a custom TTS service that
called `await self.add_word_timestamps([("Reset", 0)])` or `await
self.add_word_timestamps([("TTSStoppedFrame", 0), ("Reset", 0)], ctx_id)`,
replace them with `await self.append_to_audio_context(ctx_id,
TTSStoppedFrame(context_id=ctx_id))` and let `_handle_audio_context` manage
the word-timestamp reset automatically.
(PR [#4145](https://github.com/pipecat-ai/pipecat/pull/4145))
- Removed `SambaNovaSTTService`. SambaNova no longer offers speech-to-text
audio models. Use another STT provider instead.
(PR [#4154](https://github.com/pipecat-ai/pipecat/pull/4154))
### Fixed
- Fixed Gemini Live (`GoogleGeminiLiveLLMService`) not honoring
`settings.system_instruction`. The system instruction was being read from a
deprecated constructor parameter instead of the settings object, causing it
to be silently ignored.
(PR [#4089](https://github.com/pipecat-ai/pipecat/pull/4089))
- Fixed `AWSBedrockLLMAdapter` sending an empty message list to the API when
the only message in context was a system message. The lone system message is
now converted to "user" role instead of being extracted, matching the
existing Anthropic adapter behavior.
(PR [#4089](https://github.com/pipecat-ai/pipecat/pull/4089))
- Fixed Gemini Live pipeline hanging indefinitely when an `EndFrame` was
deferred while waiting for the bot to finish responding and `turn_complete`
never arrived. As a possible root-cause fix, `turn_complete` messages are now
handled even if they lack `usage_metadata`. As a fallback, the deferred
`EndFrame` now has a 30-second safety timeout.
(PR [#4125](https://github.com/pipecat-ai/pipecat/pull/4125))
- Fixed ElevenLabs WebSocket disconnections (1008 "Maximum simultaneous
contexts exceeded") caused by rapid user interruptions. When interruptions
arrived before any TTS text was generated, phantom contexts were created on
the ElevenLabs server that were never closed, eventually exceeding the
5-context limit.
(PR [#4126](https://github.com/pipecat-ai/pipecat/pull/4126))
- Fixed the final sentence being dropped from the conversation context when
using RTVI text input with non-word-timestamp TTS services. The
`LLMFullResponseEndFrame` was racing ahead of the last `TTSTextFrame`,
causing the `LLMAssistantAggregator` to finalize the context before the final
sentence arrived.
(PR [#4127](https://github.com/pipecat-ai/pipecat/pull/4127))
- Fixed audio crackling and popping in recordings when both user and bot are
speaking. `AudioBufferProcessor` no longer injects silence into a track's
buffer while that track is actively producing audio, preventing mid-utterance
interruptions in the recorded output.
(PR [#4135](https://github.com/pipecat-ai/pipecat/pull/4135))
- Fixed websocket TTS word timestamps so interrupted contexts cannot leak stale
words or backward PTS values into later turns.
(PR [#4145](https://github.com/pipecat-ai/pipecat/pull/4145))
- Fixed a race condition in `InterruptibleTTSService` where, if `run_tts` had
been invoked but `BotStartedSpeakingFrame` had not yet been received, a user
interruption could allow stale audio to leak through.
(PR [#4145](https://github.com/pipecat-ai/pipecat/pull/4145))
- Fixed Gemini Live local VAD mode (`GeminiVADParams(disabled=True)` with
external VAD) not working. The bot now correctly detects user speech and
signals turn boundaries to the Gemini API.
(PR [#4146](https://github.com/pipecat-ai/pipecat/pull/4146))
- Fixed Gemini Live message handling to process all `server_content` fields
independently. Gemini 3.x can bundle multiple fields (e.g. `model_turn` and
`output_transcription`) on the same message, but the previous `elif` chain
only processed the first match, silently dropping the rest.
(PR [#4147](https://github.com/pipecat-ai/pipecat/pull/4147))
- Fixed `ServiceSwitcher` with `ServiceSwitcherStrategyFailover` incorrectly
triggering failover when `ErrorFrame`s from other pipeline stages (e.g. TTS)
propagated upstream through the switcher. Previously, any non-fatal error
passing through would be misattributed to the active service and trigger an
unwanted service switch. Now only errors originating from the switcher's own
managed services trigger failover.
(PR [#4149](https://github.com/pipecat-ai/pipecat/pull/4149))
- Fixed `LiveKitOutputTransport` not clearing the `rtc.AudioSource` internal
buffer on interruption, causing the bot to continue speaking for several
seconds after being interrupted.
(PR [#4151](https://github.com/pipecat-ai/pipecat/pull/4151))
- Fixed a crash in OpenAI LLM processing when the provider returns
`chunk.choices[0].delta.audio = None`, which caused `'NoneType' object has no
attribute 'get'` errors during audio transcript handling.
(PR [#4152](https://github.com/pipecat-ai/pipecat/pull/4152))
- Fixed error floods in `DeepgramSTTService` when the WebSocket connection
drops. With Deepgram SDK 6.x, `send_media()` raises exceptions on a dead
connection instead of silently failing, causing every queued audio frame to
log an error. Now `send_media()` failures are caught gracefully — a single
warning is logged and audio frames are skipped until the existing
reconnection logic restores the connection.
(PR [#4153](https://github.com/pipecat-ai/pipecat/pull/4153))
- `Mem0MemoryService` no longer blocks the event loop during memory storage and
retrieval. All Mem0 API calls now run in a background thread, and message
storage is fire-and-forget so it doesn't delay downstream processing.
(PR [#4156](https://github.com/pipecat-ai/pipecat/pull/4156))
- Fixed `Mem0MemoryService` failing to store messages when the context
contained system or developer role messages. The Mem0 API only accepts user
and assistant roles, so other roles are now filtered out before storing.
(PR [#4156](https://github.com/pipecat-ai/pipecat/pull/4156))
- Added missing `on_dtmf_event` callback to `LemonSliceTransportClient.setup()`
`DailyCallbacks` construction, fixing a `ValidationError` at pipeline setup
time.
(PR [#4161](https://github.com/pipecat-ai/pipecat/pull/4161))
- Fixed an issue in `InworldTTSService` where, in cases of fast interruption,
we would continue receiving audio from the previous context.
(PR [#4167](https://github.com/pipecat-ai/pipecat/pull/4167))
- Fixed a word timestamp interleaving issue in `InworldTTSService` when
processing multiple sentences.
(PR [#4167](https://github.com/pipecat-ai/pipecat/pull/4167))
- Fixed duplicate `TTSStoppedFrame` being pushed in TTS services using
`push_stop_frames=True`. When the stop-frame timeout fired, a second
`TTSStoppedFrame` could be pushed after the normal one at context completion.
(PR [#4172](https://github.com/pipecat-ai/pipecat/pull/4172))
- ⚠️ Fixed `DeepgramSTTService` compatibility with deepgram-sdk 6.1.0. The SDK
now requires explicit message objects for `send_keep_alive()`,
`send_close_stream()`, and `send_finalize()`. The minimum deepgram-sdk
version is now 6.1.0.
(PR [#4174](https://github.com/pipecat-ai/pipecat/pull/4174))
- Fixed RTVI events not being delivered to clients when using WebSocket
transports. `ProtobufFrameSerializer` now sets `ignore_rtvi_messages=False`
by default.
(PR [#4176](https://github.com/pipecat-ai/pipecat/pull/4176))
- Fixed a timing issue where turn detection timer tasks (idle controller,
speech timeout, turn analyzer, and turn completion) could miss their first
tick because the newly created asyncio task was not yet scheduled when the
caller continued.
(PR [#4183](https://github.com/pipecat-ai/pipecat/pull/4183))
- Fixed `FastAPIWebsocketTransport` intermittently hanging on shutdown when the
remote side (e.g. Twilio) disconnects while audio is being sent. A race
condition between the send and receive paths could cause the
`on_client_disconnected` callback to be skipped, leaving the pipeline waiting
for a disconnect signal that never came.
(PR [#4186](https://github.com/pipecat-ai/pipecat/pull/4186))
### Performance
- `RimeTTSService` now handles Rime's `done` WebSocket message to complete
audio contexts immediately, eliminating the 3-second idle timeout that
previously added latency at the end of each utterance.
(PR [#4172](https://github.com/pipecat-ai/pipecat/pull/4172))
## [0.0.107] - 2026-03-23
### Added

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@@ -1,62 +0,0 @@
# Changelog
All notable changes to the **&lt;project name&gt;** SDK will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
Please make sure to add your changes to the appropriate categories:
## [Unreleased]
### Added
<!-- for new functionality -->
- n/a
### Changed
<!-- for changed functionality -->
- n/a
### Deprecated
<!-- for soon-to-be removed functionality -->
- n/a
### Removed
<!-- for removed functionality -->
- n/a
### Fixed
<!-- for fixed bugs -->
- n/a
### Performance
<!-- for performance-relevant changes -->
- n/a
### Security
<!-- for security-relevant changes -->
- n/a
### Other
<!-- for everything else -->
- n/a
## [0.1.0] - YYYY-MM-DD
Initial release.

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@@ -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 --no-extra krisp
uv sync --group dev --all-extras --no-extra gstreamer
# Install pre-commit hooks
uv run pre-commit install

View File

@@ -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))
- **Foundational example** - Single file example showing basic usage (see [Pipecat examples](https://github.com/pipecat-ai/pipecat/tree/main/examples))
- **README.md** - Must include:
- Introduction and explanation of your integration
- Installation instructions
@@ -225,6 +225,17 @@ 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:**
@@ -406,8 +417,9 @@ 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)
- Consider releasing to PyPI for easier installation
- Publish to PyPI for easier installation
- Follow semantic versioning principles
- Maintain a changelog

View File

@@ -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? Try the [quickstart](https://docs.pipecat.ai/getting-started/quickstart).
> Want to dive right in? Run `pipecat init quickstart` or follow the [quickstart guide](https://docs.pipecat.ai/getting-started/quickstart).
## 🚀 What You Can Build
@@ -79,26 +79,26 @@ 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/simple-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/simple-chatbot/image.png" width="400" /></a>&nbsp;
<a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/storytelling-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/storytelling-chatbot/image.png" width="400" /></a>
<br/>
<a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/translation-chatbot"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/translation-chatbot/image.png" width="400" /></a>&nbsp;
<a href="https://github.com/pipecat-ai/pipecat/blob/main/examples/foundational/12-describe-video.py"><img src="https://github.com/pipecat-ai/pipecat/blob/main/examples/foundational/assets/moondream.png" width="400" /></a>
<a href="https://github.com/pipecat-ai/pipecat-examples/tree/main/daily-multi-translation"><img src="https://raw.githubusercontent.com/pipecat-ai/pipecat-examples/main/daily-multi-translation/image.png" width="400" /></a>&nbsp;
<a href="https://github.com/pipecat-ai/pipecat/blob/main/examples/vision/vision-moondream.py"><img src="https://github.com/pipecat-ai/pipecat/blob/main/examples/assets/moondream.png" width="400" /></a>
</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), [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) |
| 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) |
📚 [View full services documentation →](https://docs.pipecat.ai/server/services/supported-services)
@@ -142,15 +142,15 @@ You can get started with Pipecat running on your local machine, then move your a
## 🧪 Code examples
- [Foundational](https://github.com/pipecat-ai/pipecat/tree/main/examples/foundational) — 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) — small snippets that build on each other, introducing one or two concepts at a time
- [Example apps](https://github.com/pipecat-ai/pipecat-examples) — complete applications that you can use as starting points for development
## 🛠️ Contributing to the framework
### Prerequisites
**Minimum Python Version:** 3.10
**Recommended Python Version:** 3.12
**Minimum Python Version:** 3.11
**Recommended Python Version:** >= 3.12
### Setup Steps
@@ -166,7 +166,6 @@ 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 \
```

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@@ -1 +0,0 @@
- Added `SarvamLLMService` with support for `sarvam-30b`, `sarvam-30b-16k`, `sarvam-105b` and `sarvam-105b-32k`

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@@ -1 +0,0 @@
- 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.

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- Added context prewarming path for `InworldTTSService` to improve first audio latency

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@@ -1 +0,0 @@
- Added `KrispVivaVadAnalyzer` for Voice Activity Detection using the Krisp VIVA SDK (requires `krisp_audio`).

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@@ -1 +0,0 @@
- Modeified `InworldTTSService` to close context at end of turn instead of relying on idle timeout

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- Added `XAIHttpTTSService` for text-to-speech using xAI's HTTP TTS API.

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- Added Gemini 3 support to the Gemini Live service.

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@@ -1 +0,0 @@
- `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.

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@@ -1 +0,0 @@
- 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).

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@@ -1 +0,0 @@
- ⚠️ `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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- Fixed `InworldTtsService` to fallback to full text when TTS timestamps are not received

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- Added `domain` parameter to `AssemblyAISTTSettings` for specialized recognition modes such as Medical Mode (`domain="medical-v1"`).

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@@ -1 +0,0 @@
- Added `NovitaLLMService` for using Novita AI's LLM models via their OpenAI-compatible API.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- ⚠️ 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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- Bumped `nvidia-riva-client` minimum version to `>=2.25.1`.

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@@ -1 +0,0 @@
- Upgraded `protobuf` from 5.x to 6.x (`>=6.31.1,<7`).

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- `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`).

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@@ -1 +0,0 @@
- `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.

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@@ -1 +0,0 @@
- Added `DeepgramFluxSageMakerSTTService` for running Deepgram Flux speech-to-text on AWS SageMaker endpoints. Use with `ExternalUserTurnStrategies` to take advantage of Flux's turn detection.

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@@ -1 +0,0 @@
- Fixed websocket TTS word timestamps so interrupted contexts cannot leak stale words or backward PTS values into later turns.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- ⚠️ `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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- Fixed `LiveKitOutputTransport` not clearing the `rtc.AudioSource` internal buffer on interruption, causing the bot to continue speaking for several seconds after being interrupted.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- Removed `SambaNovaSTTService`. SambaNova no longer offers speech-to-text audio models. Use another STT provider instead.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- ⚠️ Bumped `mem0ai` dependency from `~=0.1.94` to `>=1.0.8,<2`. Users of the `mem0` extra will need to update their mem0ai package.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- `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.

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@@ -1 +0,0 @@
- Added missing `on_dtmf_event` callback to `LemonSliceTransportClient.setup()` `DailyCallbacks` construction, fixing a `ValidationError` at pipeline setup time.

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@@ -1 +0,0 @@
- Fixed an issue in `InworldTTSService` where, in cases of fast interruption, we would continue receiving audio from the previous context.

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@@ -1 +0,0 @@
- Fixed a word timestamp interleaving issue in `InworldTTSService` when processing multiple sentences.

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@@ -1 +0,0 @@
- 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.

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@@ -1 +0,0 @@
- `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.

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@@ -1 +0,0 @@
- ⚠️ 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.

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@@ -1,108 +1,60 @@
# Pipecat Documentation
# Pipecat API Documentation
This directory contains the source files for auto-generating Pipecat's server API reference documentation.
## Setup
1. Install documentation dependencies:
```bash
pip install -r requirements.txt
```
2. Make the build scripts executable:
```bash
chmod +x build-docs.sh rtd-test.py
```
This directory contains the source files for auto-generating Pipecat's API reference documentation.
## Building Documentation
From this directory, you can build the documentation in several ways:
### Local Build
From this directory:
```bash
# Using the build script (automatically opens docs when done)
./build-docs.sh
# Build docs (warnings shown but don't fail the build)
cd docs/api && uv run ./build-docs.sh
# Or directly with sphinx-build
sphinx-build -b html . _build/html -W --keep-going
# Build with strict mode (warnings treated as errors)
cd docs/api && uv run ./build-docs.sh --strict
```
### ReadTheDocs Test Build
The build script will:
To test the documentation build process exactly as it would run on ReadTheDocs:
```bash
./rtd-test.py
```
This script:
- Creates a fresh virtual environment
- Installs all dependencies as specified in requirements files
- Handles conflicting dependencies (like grpcio versions for Riva)
- Builds the documentation in an isolated environment
- Provides detailed logging of the build process
Use this script to verify your documentation will build correctly on ReadTheDocs before pushing changes.
## Viewing Documentation
The built documentation will be available at `_build/html/index.html`. To open:
```bash
# On MacOS
open _build/html/index.html
# On Linux
xdg-open _build/html/index.html
# On Windows
start _build/html/index.html
```
1. Install documentation dependencies via `uv sync --group docs`
2. Clean previous build output
3. Run `sphinx-build` to generate HTML documentation
4. Open the result in your browser (macOS)
## Directory Structure
```
.
├── api/ # Auto-generated API documentation
├── _build/ # Built documentation
├── _static/ # Static files (images, css, etc.)
├── conf.py # Sphinx configuration
├── api/ # Auto-generated API documentation (created during build)
├── _build/ # Built documentation output
├── conf.py # Sphinx configuration (mock imports, extensions, etc.)
├── index.rst # Main documentation entry point
├── requirements-base.txt # Base documentation dependencies
├── requirements-riva.txt # Riva-specific dependencies
├── build-docs.sh # Local build script
└── rtd-test.py # ReadTheDocs test build script
└── rtd-test.sh # ReadTheDocs test build script (uses pip, not uv)
```
## Notes
## How It Works
- Documentation is auto-generated from Python docstrings
- Service modules are automatically detected and included
- The build process matches our ReadTheDocs configuration
- Warnings are treated as errors (-W flag) to maintain consistency
- The --keep-going flag ensures all errors are reported
- Dependencies are split into multiple requirements files to handle version conflicts
- `conf.py` runs `sphinx-apidoc` during Sphinx's `setup()` phase to generate `.rst` files from Python source
- Sphinx autodoc imports each module to extract docstrings
- Modules with unavailable dependencies are listed in `autodoc_mock_imports` in `conf.py`
- Napoleon extension converts Google-style docstrings to reStructuredText
## Troubleshooting
If you encounter missing service modules:
**Module not appearing in docs:**
1. Verify the service is installed with its extras: `pip install pipecat-ai[service-name]`
2. Check the build logs for import errors
3. Ensure the service module is properly initialized in the package
4. Run `./rtd-test.py` to test in an isolated environment matching ReadTheDocs
1. Check the build output for `autodoc: failed to import` warnings
2. If the module has an unresolvable import dependency, add it to `autodoc_mock_imports` in `conf.py`
3. Verify the module is importable: `uv run python -c "import pipecat.module.name"`
For dependency conflicts:
**Duplicate object warnings:**
1. Check the requirements files for version specifications
2. Use `rtd-test.py` to verify dependency resolution
3. Consider adding service-specific requirements files if needed
These come from re-export modules or Sphinx discovering the same class through multiple import paths. Usually cosmetic.
For more information:
**Docstring formatting warnings:**
- [ReadTheDocs Configuration](.readthedocs.yaml)
- [Sphinx Documentation](https://www.sphinx-doc.org/)
Docstrings use reStructuredText, not Markdown. Common issues:
- Use `Example::` with indented code blocks, not `` ```python ``
- Ensure blank lines between directive content and subsequent sections
- Use `Parameters:` (not `Attributes:`) for dataclass field documentation to avoid duplicate entries

View File

@@ -1,8 +1,16 @@
#!/bin/bash
# Usage: ./build-docs.sh [--strict]
# --strict: Treat warnings as errors (default: warnings only)
SPHINX_OPTS=""
if [ "$1" = "--strict" ]; then
SPHINX_OPTS="-W --keep-going"
fi
# Build docs using uv
echo "Installing dependencies with uv..."
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
uv sync --group docs --all-extras --no-extra gstreamer --no-extra local_smart_turn --no-extra moondream --no-extra mlx-whisper
# Check if sphinx-build is available
if ! uv run sphinx-build --version &> /dev/null; then
@@ -14,8 +22,7 @@ fi
rm -rf _build
echo "Building documentation..."
# Build docs matching ReadTheDocs configuration
uv run sphinx-build -b html -d _build/doctrees . _build/html -W --keep-going
uv run sphinx-build -b html -d _build/doctrees . _build/html $SPHINX_OPTS
if [ $? -eq 0 ]; then
echo "Documentation built successfully!"

View File

@@ -4,6 +4,19 @@ import sys
from datetime import datetime
from pathlib import Path
# Fix Pydantic v2 + Sphinx autodoc incompatibility: ConfigDict(extra="allow") fails
# during Sphinx's import because __pydantic_extra__ annotation on BaseModel resolves to
# `Dict[str, Any] | None` whose get_origin() is Union, not dict. Patch the check to
# accept Union-wrapped dict types (i.e., Optional[Dict[str, Any]]).
import pydantic._internal._generate_schema as _pydantic_gs
_ORIG_DICT_TYPES = _pydantic_gs.DICT_TYPES
# Expand the accepted types to include Union (Optional[Dict[str, Any]])
import types
import typing
_pydantic_gs.DICT_TYPES = [*_ORIG_DICT_TYPES, typing.Union, types.UnionType]
# Configure logging
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("sphinx-build")
@@ -48,8 +61,6 @@ autodoc_default_options = {
# Mock imports for optional dependencies
autodoc_mock_imports = [
# Krisp - has build issues on some platforms
"pipecat_ai_krisp",
"krisp",
"krisp_audio",
# System-specific GUI libraries
"_tkinter",
@@ -78,16 +89,6 @@ autodoc_mock_imports = [
"einops",
"intel_extension_for_pytorch",
"huggingface_hub",
# riva dependencies
"riva",
"riva.client",
"riva.client.Auth",
"riva.client.ASRService",
"riva.client.StreamingRecognitionConfig",
"riva.client.RecognitionConfig",
"riva.client.AudioEncoding",
"riva.client.proto.riva_tts_pb2",
"riva.client.SpeechSynthesisService",
# MLX dependencies (Apple Silicon specific)
"mlx",
"mlx_whisper", # Note: might need underscore format too
@@ -98,7 +99,6 @@ autodoc_mock_imports = [
"cartesia",
"camb",
"sarvamai",
"openpipe",
"openai.types.beta.realtime",
"langchain_core",
"langchain_core.messages",
@@ -110,6 +110,8 @@ autodoc_mock_imports = [
"fastapi.middleware",
"fastapi.responses",
"uvicorn",
# Deepgram dependencies
"deepgram",
]
# HTML output settings
@@ -136,6 +138,8 @@ def import_core_modules():
"pipecat.runner",
"pipecat.serializers",
"pipecat.transcriptions",
"pipecat.turns",
"pipecat.extensions",
"pipecat.utils",
]
@@ -180,7 +184,6 @@ def setup(app):
logger.info(f"Source directory: {source_dir}")
excludes = [
str(project_root / "src/pipecat/pipeline/to_be_updated"),
str(project_root / "src/pipecat/examples"),
str(project_root / "src/pipecat/tests"),
"**/test_*.py",

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@@ -32,4 +32,5 @@ Quick Links
Services <api/pipecat.services>
Transcriptions <api/pipecat.transcriptions>
Transports <api/pipecat.transports>
Turns <api/pipecat.turns>
Utils <api/pipecat.utils>

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@@ -121,6 +121,9 @@ MINIMAX_GROUP_ID=...
# Mistral
MISTRAL_API_KEY=...
# Nebius
NEBIUS_API_KEY=...
# Neuphonic
NEUPHONIC_API_KEY=...
@@ -133,9 +136,6 @@ NVIDIA_API_KEY=...
# OpenAI
OPENAI_API_KEY=...
# OpenPipe
OPENPIPE_API_KEY=...
# OpenRouter
OPENROUTER_API_KEY=...

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@@ -1,31 +1,150 @@
# Pipecat Examples
This directory contains examples to help you learn how to build with Pipecat.
This directory contains examples showing how to build voice and multimodal agents with Pipecat.
## Getting Started
## Setup
New to Pipecat? Start here:
1. Follow the [README](https://github.com/pipecat-ai/pipecat/blob/main/README.md#%EF%B8%8F-contributing-to-the-framework) steps to get your local environment configured.
- **[Quickstart](quickstart/)** - Get your first voice AI bot running in 5 minutes _(coming soon)_
- **[Client/Server Web](client-server-web/)** - Learn to build web applications with Pipecat's client SDKs _(coming soon)_
- **[Phone Bot with Twilio](phone-bot-twilio/)** - Connect your bot to a phone number _(coming soon)_
> **Run from root directory**: Make sure you are running the steps from the root directory.
## Foundational Examples
> **Using local audio?**: The `LocalAudioTransport` requires a system dependency for `portaudio`. Install the dependency to use the transport.
Single-file examples that introduce core Pipecat concepts one at a time. These examples:
2. Copy the [`env.example`](../env.example) file and add API keys for services you plan to use:
- Build on each other progressively
- Focus on specific features or integrations
- Are used for testing with every Pipecat release
```bash
cp env.example .env
# Edit .env with your API keys
```
See the **[Foundational Examples README](foundational/)** for the complete list.
3. Run any example:
## More Advanced Examples
```bash
uv run python getting-started/01-say-one-thing.py
```
Ready to explore complex use cases? Visit **[pipecat-examples](https://github.com/pipecat-ai/pipecat-examples)** for:
4. Open the web interface at http://localhost:7860/client/ and click "Connect"
- Production-ready applications
- Multi-platform client implementations
- Telephony integrations
- Multimodal and creative applications
- Deployment and monitoring examples
## Running examples with other transports
Most examples support running with other transports, like Twilio or Daily.
### Daily
You need to create a Daily account at https://dashboard.daily.co/u/signup. Once signed up, you can create your own room from the dashboard and set the environment variables `DAILY_ROOM_URL` and `DAILY_API_KEY`. Alternatively, you can let the example create a room for you (still needs `DAILY_API_KEY` environment variable). Then, start any example with `-t daily`:
```bash
uv run getting-started/06-voice-agent.py -t daily
```
### Twilio
It is also possible to run the example through a Twilio phone number. You will need to setup a few things:
1. Install and run [ngrok](https://ngrok.com/download).
```bash
ngrok http 7860
```
2. Configure your Twilio phone number. One way is to setup a TwiML app and set the request URL to the ngrok URL from step (1). Then, set your phone number to use the new TwiML app.
Then, run the example with:
```bash
uv run getting-started/06-voice-agent.py -t twilio -x NGROK_HOST_NAME
```
## Directory Structure
### [`getting-started/`](./getting-started/)
Progressive introduction to Pipecat, from minimal TTS to a full voice agent with function calling.
### [`voice/`](./voice/)
Full STT + LLM + TTS voice agent pipelines showcasing different speech service providers (Deepgram, ElevenLabs, Cartesia, etc.)
### [`function-calling/`](./function-calling/)
Function calling with different LLM providers (OpenAI, Anthropic, Google, etc.)
### [`transcription/`](./transcription/)
Speech-to-text examples with various STT providers.
### [`vision/`](./vision/)
Image description and vision capabilities with different multimodal LLMs.
### [`realtime/`](./realtime/)
Realtime and multimodal live APIs (OpenAI Realtime, Gemini Live, AWS Nova Sonic, Ultravox, Grok).
### [`persistent-context/`](./persistent-context/)
Maintaining conversation context across sessions with different providers.
### [`context-summarization/`](./context-summarization/)
Summarizing conversation context to manage token limits.
### [`update-settings/`](./update-settings/)
Changing service settings at runtime, organized by service type:
- **[`stt/`](./update-settings/stt/)** — Speech-to-text settings
- **[`tts/`](./update-settings/tts/)** — Text-to-speech settings
- **[`llm/`](./update-settings/llm/)** — LLM settings
### [`turn-management/`](./turn-management/)
Turn detection, interruption handling, and user input management.
### [`thinking-and-mcp/`](./thinking-and-mcp/)
LLM thinking/reasoning modes and MCP (Model Context Protocol) tool server integration.
### [`transports/`](./transports/)
Transport layer examples (WebRTC, Daily, LiveKit).
### [`video-avatar/`](./video-avatar/)
Video avatar integrations (Tavus, HeyGen, Simli, LemonSlice).
### [`video-processing/`](./video-processing/)
Video processing, mirroring, GStreamer, and custom video tracks.
### [`audio/`](./audio/)
Audio recording, background sounds, and sound effects.
### [`observability/`](./observability/)
Pipeline monitoring: observers, heartbeats, and Sentry metrics.
### [`rag/`](./rag/)
Retrieval-augmented generation, grounding, and long-term memory (Mem0, Gemini).
### [`features/`](./features/)
Miscellaneous features: wake phrases, live translation, service switching, voice switching, and more.
## Advanced Usage
### Customizing Network Settings
```bash
uv run python <example-name> --host 0.0.0.0 --port 8080
```
### Troubleshooting
- **No audio/video**: Check browser permissions for microphone and camera
- **Connection errors**: Verify API keys in `.env` file
- **Port conflicts**: Use `--port` to change the port
For more examples, visit the [pipecat-examples repository](https://github.com/pipecat-ai/pipecat-examples).

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@@ -34,7 +34,7 @@ from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
load_dotenv(override=True)
OFFICE_SOUND_FILE = os.path.join(
os.path.dirname(__file__), "assets", "office-ambience-24000-mono.mp3"
os.path.dirname(__file__), "../assets", "office-ambience-24000-mono.mp3"
)
# We use lambdas to defer transport parameter creation until the transport

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@@ -36,7 +36,7 @@ from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.google import GoogleLLMService
from pipecat.services.google.llm import GoogleLLMService
from pipecat.services.llm_service import FunctionCallParams
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams

View File

@@ -45,7 +45,7 @@ from dotenv import load_dotenv
from loguru import logger
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import LLMRunFrame
from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -54,6 +54,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
LLMContextAggregatorPair,
LLMUserAggregatorParams,
)
from pipecat.processors.aggregators.llm_text_processor import LLMTextProcessor
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService
@@ -100,39 +101,43 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.info(f"Starting bot")
# Create pattern pair aggregator for voice switching
pattern_aggregator = PatternPairAggregator()
llm_text_aggregator = PatternPairAggregator()
# Add pattern for voice switching
pattern_aggregator.add_pattern(
llm_text_aggregator.add_pattern(
type="voice",
start_pattern="<voice>",
end_pattern="</voice>",
action=MatchAction.REMOVE, # Remove tags from final text
action=MatchAction.AGGREGATE,
)
# Register handler for voice switching
async def on_voice_tag(match: PatternMatch):
voice_name = match.text.strip().lower()
if voice_name in VOICE_IDS:
# First flush any existing audio to finish the current context
await tts.flush_audio()
# Then set the new voice
await tts.set_voice(VOICE_IDS[voice_name])
await llm_text_processor.push_frame(
TTSUpdateSettingsFrame(
delta=CartesiaTTSService.Settings(voice=VOICE_IDS[voice_name])
)
)
logger.info(f"Switched to {voice_name} voice")
else:
logger.warning(f"Unknown voice: {voice_name}")
pattern_aggregator.on_pattern_match("voice", on_voice_tag)
llm_text_aggregator.on_pattern_match("voice", on_voice_tag)
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
# Process LLM text through the pattern aggregator before TTS
llm_text_processor = LLMTextProcessor(text_aggregator=llm_text_aggregator)
# Initialize TTS with narrator voice as default
tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
settings=CartesiaTTSService.Settings(
voice=VOICE_IDS["narrator"],
),
text_aggregator=pattern_aggregator,
skip_aggregator_types=["voice"], # Skip voice tags in TTS speech
)
# System prompt for storytelling with voice switching
@@ -204,7 +209,8 @@ Remember: Use narrator voice for EVERYTHING except the actual quoted dialogue.""
stt,
user_aggregator,
llm,
tts, # TTS with pattern aggregator
llm_text_processor,
tts,
transport.output(),
assistant_aggregator,
]

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