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Murf BVC for LiveKit Agents

Background voice cancellation for voice agents. Murf BVC keeps the person talking to your agent and removes everyone and everything else (TV, other people in the room, street and office noise) before your agent's VAD, turn detection and speech-to-text see the audio. Fewer false interruptions, fewer transcripts of someone else's words.

It runs on CPU inside your agent process, like LiveKit's own noise-cancellation plugin. No GPU and no extra services; audio never leaves your process.

Requirements

  • Python 3.10+ and livekit-agents 1.2+
  • Linux (glibc 2.28+: Ubuntu 20.04+, Debian 10+, RHEL/Rocky/Alma 8+, Amazon Linux 2023) on x86_64 or aarch64, or macOS 11+ (Apple Silicon) / 10.15+ (Intel)
  • x86_64 CPUs need AVX2 and FMA (Intel Haswell / 2013 or newer, any AMD Zen); on ARM, AWS Graviton2 or newer, or any Apple Silicon Mac
  • A Murf API key with BVC enabled, or an offline license key for on-premise and air-gapped deployments (contact Murf)

Install

pip install livekit-plugins-murf-bvc

Quick start

Set MURF_API_KEY (the same Murf API key the Murf TTS plugin uses; in .env.local like your other keys), call murf_bvc.prewarm() in the server's setup function, and pass murf_bvc.BVC() as the noise cancellation for the room's audio input:

from livekit.agents import Agent, AgentServer, AgentSession, JobContext, JobProcess, cli, room_io
from livekit.plugins import murf_bvc

server = AgentServer()


def prewarm(proc: JobProcess):
    murf_bvc.prewarm()  # license + models, before any call is assigned


server.setup_fnc = prewarm


@server.rtc_session()
async def entrypoint(ctx: JobContext):
    session = AgentSession(...)  # your STT, LLM, TTS, VAD, turn detection
    await session.start(
        room=ctx.room,
        agent=Agent(instructions="You are a helpful assistant."),
        room_options=room_io.RoomOptions(
            audio_input=room_io.AudioInputOptions(noise_cancellation=murf_bvc.BVC()),
        ),
    )


if __name__ == "__main__":
    cli.run_app(server)

That's all most agents need. The defaults are what we recommend for production. On-premise or air-gapped, set MURF_BVC_LICENSE="mbvc1...." (an offline license from Murf) instead of MURF_API_KEY.

Why prewarm

BVC() never blocks your agent. Without prewarm(), though, the first call in a process waits for work that prewarm() does up front: fetching the first lease for an API key (a request to Murf), and decrypting and loading the models (about 0.3 s, which would otherwise happen inside LiveKit's audio pipeline when the first participant's audio arrives). Until the lease arrives, audio passes through unprocessed.

LiveKit runs the setup function once per worker process while the process waits in the idle pool, so the time it takes is never on a call. It is the same place agents load their VAD model. prewarm() takes the same arguments as BVC(), returns True when ready, and returns False (logging why) if there is no valid license within timeout seconds (default 5); it never raises.

Keys

Like LiveKit's other plugins, BVC reads its key from the environment unless you pass one:

Key Environment variable How it is checked
api_key: Murf API key MURF_API_KEY The plugin exchanges it with Murf for a short-lived license (a lease, valid for an hour) and renews every 15 minutes, reporting how many minutes of audio it processed. A key you revoke on Murf stops working within the hour. Needs outbound HTTPS to api.murf.ai.
license_key: offline license (mbvc1....) MURF_BVC_LICENSE Checked locally (signature and expiry); no network access. For on-premise and air-gapped deployments. Takes precedence over an API key.

If you'd rather not put the key in the environment, pass it in code to both calls, for example murf_bvc.prewarm(api_key=key) and murf_bvc.BVC(api_key=key) with the key from your secrets manager. A key passed in code applies only to that BVC value and the streams it creates (a BVC() without a key is not licensed by it), never enters LiveKit's options, and is not inherited by subprocesses or visible in the process environment, where crash reporters and debugging tools often collect it.

Any code running in your agent process (other plugins included) can read memory it shares with the agent, so no way of passing a key hides it from them. Treat the BVC key like the agent's other API keys.

Options: when to change them

murf_bvc.BVC(api_key=None, license_key=None, restore=True, normalize=True, native=True)
Option Default Change it when
api_key MURF_API_KEY You keep the key out of the environment: see Keys.
license_key MURF_BVC_LICENSE You run on-premise or air-gapped with an offline license from Murf (or keep it out of the environment). Takes precedence over api_key.
restore True Leave on. While only the caller is talking, it gives back anything the model removed, so the caller's own voice is never thinned and STT accuracy holds up on clean calls. It runs a speaker check every 0.5 s of speech. Set False only if you'd rather have maximum removal at all times, or need to save that bit of CPU.
normalize True Leave on. It levels quiet and loud callers before the model so both get the same quality. There is no production reason to turn it off.
native True Leave on. It runs BVC inside LiveKit's audio pipeline. It falls back to a Python processor on its own if your livekit version predates audio-filter plugins, so you only set False when debugging.

Rooms with several participants

Nothing to change: one BVC() value serves every participant, each with its own independent state.

If you use native=False (or BVCProcessor directly), each processor handles one track, so pass a selector instead:

noise_cancellation=lambda params: murf_bvc.BVC(native=False)

What to expect

  • Latency: 10 ms at 16 kHz, about 13.6 ms at 24 or 48 kHz (resampling included).
  • CPU: about 3% of one core per active participant on an AWS AMD EPYC instance, plus a speaker check every 0.5 s of speech while caller restore is on. Processing is single-threaded per stream, so it scales with the number of concurrent calls.
  • Audio: any sample rate LiveKit delivers (8–96 kHz); stereo input is mixed to mono.

License behaviour

Without a valid license BVC does not stop your agent: it logs an error and passes audio through unchanged, delayed by the same few milliseconds, so calls keep working and a license expiring mid-call never knocks audio out of sync.

With an API key, the first lease is fetched in the background (or by prewarm()); calls that start before it arrives pass audio through, then are processed once it does, without reconnecting. If Murf cannot be reached, processing continues on the current lease for at least 45 minutes; after it expires audio passes through until a renewal succeeds, then processing resumes on its own.

Check a key at startup with the result of prewarm():

if not murf_bvc.prewarm():   # the reason is logged
    ...

Troubleshooting

All messages, including those from the native library inside LiveKit's audio pipeline, go to the Python logger livekit.plugins.murf_bvc, so they follow your agent's log level and format (JSON in production). License events carry license_sub and license_expires_at as structured fields.

You see Meaning
no license: pass BVC(api_key=...) or BVC(license_key=...), or set MURF_API_KEY or MURF_BVC_LICENSE No key was passed and neither variable is set.
HTTP 401 invalid_api_key ...; lease renewal stopped The Murf API key is wrong or revoked.
HTTP 403 not_entitled ...; lease renewal stopped The key's Murf account does not include BVC; contact Murf.
lease request failed (...); retrying Murf can't be reached (outbound HTTPS blocked, or an outage). Processing continues until the current lease expires.
prewarm: no valid license after 5.0 s The first lease did not arrive in time (or the key was refused: see the line before). Audio passes through until it arrives.
offline license for '...' expires in N days Ask Murf for a new offline license before that date.
license for '...' has expired Renew the key with Murf.
this license does not carry a model key; ask Murf to reissue it An older-format key; ask Murf for a reissued one.
Illegal instruction when the agent starts The CPU lacks AVX2/FMA (very old x86, or some emulated/virtualized CPUs). Use a newer instance type.
pip finds no matching distribution Python older than 3.10, an unsupported platform, or glibc older than 2.28.

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