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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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4
api/services/pipecat/audio_playback.py
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@ -97,6 +97,7 @@ async def play_audio(
queue_frame: Callable[[Frame], Awaitable[None]],
transcript: Optional[str] = None,
append_to_context: bool = False,
persist_to_logs: bool = False,
) -> None:
"""Play raw PCM-16 audio once.
@ -115,6 +116,8 @@ async def play_audio(
transcript: Optional transcript of the recording.
append_to_context: Whether the transcript should be appended to
the LLM assistant context. Defaults to False.
persist_to_logs: Whether the transcript should be written to the
app-level logs buffer by observers. Defaults to False.
"""
context_id = str(uuid.uuid4())
await queue_frame(TTSStartedFrame(context_id=context_id))
@ -123,6 +126,7 @@ async def play_audio(
text=transcript, aggregated_by="recording", context_id=context_id
)
tts_text.append_to_context = append_to_context
tts_text.persist_to_logs = persist_to_logs
await queue_frame(tts_text)
await queue_frame(
TTSAudioRawFrame(