The /bargein API called in livekit/agents/inferenc...
# ask-ai
s
The /bargein API called in livekit/agents/inference/interruption.py, how I should handle it for self-hosted livekit and my own voice ai agent?
✅ 1
t
Thanks for reaching out, Jack. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — I’m following up on your question about the
/bargein
API in
livekit/agents/inference/interruption.py
and how to handle it for a self‑hosted LiveKit and your own voice AI agent. I don’t have the exact
/bargein
endpoint implementation on hand, so I’ll need a bit more context to give actionable guidance. A few clarifying questions will help me point you to the right approach and code changes: 1. Are you using the LiveKit Agents framework (the agents package) or a custom integration that borrowed that file? Which LiveKit Agents version are you running? 2. Is the
/bargein
route an HTTP endpoint you added, or is it called internally by your agent code (e.g., a function that triggers session interruption)? If you added it, can you share the current handler code (or paste the relevant snippet)? 3. What do you want the barge‑in behavior to do in your system? For example: ◦ Immediately stop the current agent TTS/playback and start listening to the user input ◦ Queue an interruption request for the agent to handle gracefully ◦ Signal the running inference/session to cancel and spawn a new one 1. For self‑hosted LiveKit: are you running LiveKit server and the agent process on the same host/namespace, or are they separate services that communicate over HTTP/webhooks? Also, how are you routing control messages to the agent (direct HTTP, WebSocket, Pub/Sub)? 2. Are you using LiveKit’s session interruption helpers like
session.interrupt()
or
allow_interruptions
in your agent turn logic already? If so, which part isn’t behaving as you expect? What I can help with once you share the above: • Recommend an implementation pattern (immediate cancel vs. queued interrupt) that fits your desired UX. • Show how to wire an HTTP
/bargein
endpoint to call the correct agent/session interruption method (or how to emit the control message to the agent process) in a self‑hosted setup. • Provide a sample handler snippet for cancelling playback and switching to listening mode, or for signaling the agent to gracefully stop current inference and restart. • Troubleshoot specific issues you see (race conditions, audio not stopping, agent not resuming listening, etc.) If you paste the current
interruption.py
snippet or describe how your agent and LiveKit server communicate, I’ll draft a concrete code example and step‑by‑step changes you can apply. Sources: Turns overview | LiveKit Documentation | Uninterruptable Agent | LiveKit Documentation | Interrupt User | LiveKit Documentation, with interactive elements
s
async def _connect_ws(self) -> aiohttp.ClientWebSocketResponse: """Connect to the LiveKit Adaptive Interruption WebSocket.""" settings = InterruptionWSSessionCreateSettings( sample_rate=self._opts.sample_rate, num_channels=1, threshold=self._opts.threshold, min_frames=self._model._opts.min_frames, encoding="s16le", ) base_url = self._opts.base_url if base_url.startswith(("http://", "https://")): base_url = base_url.replace("http", "ws", 1) headers = { "Authorization": f"Bearer {create_access_token(self._opts.api_key, self._opts.api_secret)}" } try: ws = await asyncio.wait_for( self._session.ws_connect(f"{base_url}/bargein", headers=headers), self._conn_options.timeout, ) except ( aiohttp.ClientConnectorError, asyncio.TimeoutError, aiohttp.ClientResponseError, ) as e: if isinstance(e, aiohttp.ClientResponseError) and e.status == 429: raise APIStatusError( "LiveKit Adaptive Interruption quota exceeded", status_code=e.status, retryable=False, ) from e elif isinstance(e, asyncio.TimeoutError): raise APIConnectionError( "failed to connect to LiveKit Adaptive Interruption: timeout", retryable=False, ) from e raise APIConnectionError("failed to connect to LiveKit Adaptive Interruption") from e try: msg = InterruptionWSSessionCreateMessage( type=InterruptionWSMessageType.SESSION_CREATE, settings=settings, ) await ws.send_str(msg.model_dump_json()) except Exception as e: await ws.close() raise APIConnectionError( "failed to send session.create message to LiveKit Adaptive Interruption" ) from e return ws Above is the code snippet from inerruption.py
t
Thanks — you provided the
_connect_ws
snippet that opens a WebSocket to
.../bargein
. That helps a lot. A couple quick clarifying questions so I give the most useful guidance: • Is that
base_url
currently pointing at your self‑hosted LiveKit server (e.g.,
http://my-livekit:7880
) or to a LiveKit cloud/adaptive-interruption service URL? • Do you expect
/bargein
to be an HTTP/WebSocket endpoint provided by your deployment, or did you expect it to be hosted as part of LiveKit out of the box? • What exact runtime behavior do you want when barge‑in happens? (Examples: immediately stop TTS and switch to listening; cancel current inference and restart; or queue an interruption and let the agent finish a short clean‑up.) What I can recommend based on your snippet and typical architectures: • If
base_url
is pointing at a third‑party/cloud adaptive interruption service: ◦ Your code is correctly converting
http(s)
→
ws(s)
and attaching an Authorization header. ◦ The next required piece is that the remote
/bargein
WebSocket server must implement the expected session protocol (it should accept your SESSION_CREATE JSON message and then send interruption events). If you use a hosted LiveKit Adaptive Interruption service, point
base_url
to that service and ensure your API key/secret are valid. • If you are self‑hosting LiveKit and expect
/bargein
to exist on your server: ◦ Self‑hosted LiveKit does not automatically provide a
/bargein
adaptive-interruption WebSocket endpoint unless you implement one. Your
_connect_ws
will fail to connect unless you add a WebSocket route that understands the same session messages you send (the
SESSION_CREATE
payload and subsequent protocol). ◦ Two practical options for self‑hosting: ▪︎ Implement your own barge‑in WebSocket service (a small service that runs alongside your agent). It should: 1. Accept the same session create message your client sends. 2. Perform whatever audio-level detection or eventing you need (VAD, DNN-based interruption detector, or incoming user audio events). 3. Send interruption events back over the WS to trigger agent behavior (or call your agent’s control API). 4. Use the same encoding/settings contract (
encoding
,
sample_rate
,
threshold
,
min_frames
) so your client and service agree. ▪︎ Skip the adaptive-interruption WS entirely and use LiveKit agent/session control APIs you already have: • Have your agent listen for control messages (HTTP, WebSocket, or in-room data messages) to perform interruption actions like
session.interrupt()
, cancelling playback, or switching to listening mode. • Implement a simple HTTP endpoint (e.g.,
/bargein
) that, when POSTed, triggers the agent to stop TTS/playback and start capture. Your
_connect_ws
code would be replaced or complemented by code that calls your agent control endpoint instead. If you want a concrete example, tell me which path you prefer and I’ll draft one: • A minimal WebSocket server implementation (Python aiohttp) that speaks the same SESSION_CREATE + interruption messages and responds to client audio events. • An HTTP control endpoint plus a small agent-side handler that cancels playback and triggers listening (with sample async code to call
session.interrupt()
or equivalent in your agent). • Or instructions for pointing your client to a hosted adaptive-interruption service (if you have that URL). Paste the current
base_url
you’re using (obfuscate secrets) and which behavior you want on barge‑in, and I’ll produce the matching code snippet and sequence of steps. , with interactive elements