The single-key `button` field on `OutputDTMFFrame` and
`OutputDTMFUrgentFrame` is kept as a first-class ergonomic shortcut
for the common single-keypress case, equivalent to
`buttons=[button]`. `buttons` takes precedence when both are set.
Replaces the string-based `tones` field with a type-safe
`buttons: list[KeypadEntry]` on `OutputDTMFFrame` and
`OutputDTMFUrgentFrame`, matching the existing singular `button`
field on `InputDTMFFrame`. A `from_string` classmethod builds the
list from a dial string like `"123#"` (invalid characters raise
ValueError from the `KeypadEntry` constructor).
The base output audio fallback now iterates `frame.buttons`
directly, LiveKit sends `frame.buttons[0].value`, and the Daily
transport joins the button values into the single string Daily's
`send_dtmf` expects.
Introduces a new `tones` field on `OutputDTMFFrame` and
`OutputDTMFUrgentFrame` for sending multi-digit DTMF sequences and
deprecates the existing single-key `button` field. When only `button`
is set, it is used as a single-character `tones` string for backward
compatibility.
`DTMFFrame` is kept as an empty marker class so both input and output
DTMF frames can still be identified via isinstance. `InputDTMFFrame`
keeps its required `button` field (single keypress semantics).
The Daily-specific `DailyOutputDTMFFrame` and
`DailyOutputDTMFUrgentFrame` frames no longer need to override
`button` and simply add `session_id` and `digit_duration_ms`, which
are forwarded to Daily's `send_dtmf` as `sessionId` and
`digitDurationMs`.
The base output audio fallback now iterates `tones` and generates a
tone per character; LiveKit's native DTMF path sends `tones[0]` since
its API is single-tone.
Introduces Daily-specific DTMF output frames that carry explicit
`tones`, `session_id` and `digit_duration_ms` fields, forwarded to
Daily's `send_dtmf` as `tones`, `sessionId` and `digitDurationMs`.
The inherited `button` and `transport_destination` fields are
ignored for these frames in the Daily transport.
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.).
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
* 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
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).
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
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.
