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feat: refactor node spec and add mcp tools (#244)

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* refactor: carve out extraction panel

* refactor: create spec versions for node types

* refactor: create a GenericNode and remove custom nodes

* feat: add python and typescript sdk

* add dograh sdk

* fix: fetch draft workflow definition over published one

* fix: fix routes of SDKs to use code gen

* chore: remove doclink dependency to reduce image size

* chore: format files

* chore: bump pipecat

* feat: let mcp fetch archived workflows on demand

* chore: fix tests

* feat: add sdk documentation

* chore: change banner and add badge
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Abhishek 2026-04-21 07:56:16 +05:30 • committed by GitHub
parent 0a61ef295f
commit 00a1a22b74
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162 changed files with 14355 additions and 3554 deletions
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20
api/services/pipecat/realtime_feedback_observer.py
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@ -42,6 +42,7 @@ from pipecat.frames.frames import (
MetricsFrame,
StopFrame,
TranscriptionFrame,
TTSSpeakFrame,
TTSTextFrame,
UserMuteStartedFrame,
UserMuteStoppedFrame,
@ -230,8 +231,22 @@ class RealtimeFeedbackObserver(BaseObserver):
},
}
)
# Handle engine-queued speech (transition/tool messages) marked for
# log persistence. The downstream TTSTextFrame(s) from the TTS service
# still stream to WS as normal; we persist the full utterance once here
# to avoid word-level log entries from word-timestamp providers.
elif isinstance(frame, TTSSpeakFrame):
if getattr(frame, "persist_to_logs", False):
await self._append_to_buffer(
{
"type": RealtimeFeedbackType.BOT_TEXT.value,
"payload": {"text": frame.text},
}
)
# Handle bot TTS text - respect pts timing, WebSocket only
# Complete turn text is persisted via register_turn_handlers
# Complete turn text is persisted via register_turn_handlers,
# except for frames explicitly flagged persist_to_logs (e.g. recording
# transcripts from play_audio) which bypass the aggregator path.
elif isinstance(frame, TTSTextFrame):
message = {
"type": RealtimeFeedbackType.BOT_TEXT.value,
@ -249,6 +264,9 @@ class RealtimeFeedbackObserver(BaseObserver):
await self._ensure_clock_task()
await self._clock_queue.put((frame.pts, frame.id, message))
elif getattr(frame, "persist_to_logs", False):
# No pts + explicit persistence request (recording transcript).
await self._send_message(message)
else:
# No pts, send immediately
await self._send_ws(message)