Does livekit give the option to play a custom 'thi...
# ask-ai
a
Does livekit give the option to play a custom 'thinking' sound?
t
Thanks for reaching out, Muhammad. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — I’m responding to your question about whether LiveKit can play a custom “thinking” sound. Yes. LiveKit provides a BackgroundAudioPlayer that can automatically play a custom thinking sound when an agent enters a “thinking” state. You can supply either a local audio file path or use one of the built-in clips (for example, keyboard typing clips). Example usage in Python:
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background_audio = BackgroundAudioPlayer(
    thinking_sound=AudioConfig("path/to/custom_sound.mp3", volume=0.8)
)
await background_audio.start(room=ctx.room, agent_session=session)
Important note: this thinking-sound feature is available in Python. Node.js support for the BackgroundAudioPlayer (thinking sound) is not yet available. If you’d like, tell me: • Which runtime you’re using (Python or Node.js), and • Whether you want to use a local file or a built-in clip, and I’ll provide the exact code snippet or a short setup checklist for your case. Sources: Agent speech and audio | LiveKit Documentation | External data and RAG | LiveKit Documentation
a
I'm using python with a local file checked into my git repository. Will the sound play on repeat by default?
t
Thanks — I’m responding to your question about whether a local thinking sound will play on repeat in Python. No — a custom thinking sound provided via
BackgroundAudioPlayer
will not loop by default. If you supply the sound via the
thinking_sound
parameter, it plays on-demand and does not loop. To play a local file on repeat, call
play()
with
loop=True
. For example:
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background_audio.play("/path/to/my-custom-sound.mp3", loop=True)
A couple of helpful notes: •
loop
defaults to
False
, so you must set it to
True
to repeat. • Ambient sounds (configured via
ambient_sound
) do loop by default, but thinking sounds only loop when using
play(..., loop=True)
. If you’d like, tell me the file path in your repo and whether you want the sound to loop only while the agent is in the thinking state (so you can stop it when thinking ends); I can show a short snippet that starts/stops the loop tied to agent state. Sources: Agent speech and audio | LiveKit Documentation
a
I use the livekit docker image or something to deploy my livekit agent in production. Currently, I check the audio file into my git repository and have been testing out the custom background audio that way. How should I play the audio in production? Would I have to stream the audio frames?
t
Thanks — I’m replying about how to run your custom thinking sound in production when your agent is deployed from the LiveKit Docker image. Short answer: You do not need to stream raw audio frames yourself. Use the Python
BackgroundAudioPlayer
, include the audio file in your container, and let the player handle decoding and streaming to the room. How to do it (recommended approach) 1. Add the audio file to your project and copy it into the Docker image. ◦ Example structure: /my-agent ├── agent.py ├── Dockerfile └── thinking_sound.mp3 • In your Dockerfile:
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COPY thinking_sound.mp3 /
1. Use
BackgroundAudioPlayer
in your Python agent and reference the file path inside the container. ◦ Example:
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from livekit.agents import BackgroundAudioPlayer

     background_audio = BackgroundAudioPlayer(
         thinking_sound="/thinking_sound.mp3"
     )
     await background_audio.start(room=ctx.room, agent_session=session)
• To loop playback explicitly, call
play()
with `loop=True`:
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background_audio.play("/thinking_sound.mp3", loop=True)
Notes and best practices • The BackgroundAudioPlayer handles file decoding (FFmpeg/PyAV or built-in WAV decoding) and sending audio to the room; manual frame streaming is unnecessary. • Common audio formats are supported (MP3, WAV, AAC, Opus, etc.). For very small clips, WAV has lower decoding overhead. • Checking a small thinking-sound file into git and baking it into the Docker image is fine for short, infrequently changed sounds. • For larger or frequently updated assets, download them during the Docker build or fetch from a CDN at startup instead of committing large binaries to git. If you want, tell me: • The path you plan to use inside the container, and • Whether the sound should loop only while the agent is in “thinking” state (so I can provide a small start/stop code snippet tied to agent state). Sources: Agent speech and audio | LiveKit Documentation
a
Would this work?
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# Copy all remaining pplication files into the container
# This includes source code, configuration files, and dependency specifications
# (Excludes files specified in .dockerignore)
COPY . .
t
Yes — using
COPY . .
will copy your checked-in audio file into the image, so it will be available to the LiveKit agent at runtime, provided the file is inside the Docker build context and not excluded by
.dockerignore
. A few practical points to keep your image reliable and small: • Confirm the audio file is inside the build context (the directory where you run
docker build
) and not listed in
.dockerignore
. • Verify the file path inside the container. If you use
COPY . .
the file path inside the container mirrors the repository layout, so reference it accordingly (for example,
/app/thinking_sound.mp3
if your code lives in
/app
). • Keep your image size small:
COPY . .
copies everything not ignored. If you have large files or dev-only assets, add them to
.dockerignore
or use a more targeted COPY (for example,
COPY agent.py thinking_sound.mp3 /app/
) to avoid unnecessary bloat. • For frequent updates to the audio file, consider downloading it at build time (in the Dockerfile) or at container startup, so you don’t need to rebuild the image for every small audio change. If you want, share: • Your repo layout or the path you plan to use inside the container, and • Your Dockerfile (or where your app runs inside the container), and I’ll suggest the exact COPY lines and the code path you should reference in
BackgroundAudioPlayer
.
a
Would the following line of code work given my deployment flow?
tool_audio_path = Path(__file__).resolve().parents[3] / "Bright.mp3"
t
Thanks — I’m answering whether that Path expression will reliably locate your audio file in your Docker deployment. Short answer: it might work, but I can’t confirm without knowing where the file ends up inside the container and where the Python process runs. The expression resolves a path relative to the location of the current file by going up 3 directory levels and then appending "Bright.mp3". That only succeeds if, inside the container at runtime, the repository layout matches that relative path and the audio file was copied into the image. Quick checklist to validate it: • Confirm repository layout and where the Python file lives locally. For example, if your file is at /repo/src/app/module/agent.py, then parents[3] gives /repo, and the resulting path is /repo/Bright.mp3. • Confirm Dockerfile copies the audio file into the same relative location. If you use
COPY . .
and your container’s working directory preserves the repo layout, the same relative path will exist. • Confirm the process’ working directory and that you’re using the resolved absolute path (you are — good).
Path(__file__).resolve()
gives an absolute path independent of CWD, so your code won’t break if the container starts in a different working directory. • Make sure Bright.mp3 is not in
.dockerignore
and is inside the Docker build context. If you want a safer, clearer approach, consider one of these options: • Copy the audio into a known location in the image and reference that explicit path: ◦ Dockerfile:
COPY Bright.mp3 /app/Bright.mp3
◦ Code:
tool_audio_path = Path("/app/Bright.mp3")
• Keep the repo layout but compute the path relative to a well-known package root (if you have one) and document it. Please tell me: • The path of the Python file containing this code relative to your repo root, and • The COPY/WORKDIR lines in your Dockerfile (or confirm you use
COPY . .
), and I’ll confirm whether your
parents[3]
expression will resolve correctly or give you the exact path string to use inside the container.