Symfonium implementation: android Dev has issues?

[s0ybean]

Symfonium is a very popular android app to play locally hosted music media. It supports "smart" playback that requires audio analysis.

I came across a thread on their forum discussing audiomuse AI, and their dev seems unhappy with the current implementation.

What exactly is his issue with the API and "placing a random endpoint?"

Would it be difficult to have a collaboration going? I think this is the #1 music playback app on android.

http://support.symfonium.app/t/implement-navidrome-audiomuse-ai-plugin-to-symfonium/12238

[NeptuneHub]

Hi and thanks for the feedback.
With Tolriq I already have a really good collaboration, in fact Symfonium already support AudioMuse-AI on Jellyfin deployment.

For Open Subsonic API I requested to be adapted to support AudioMuse-AI, so that Symfonium will use them, on August 2025 here:

• [API Request] AudioMuse-AI integration opensubsonic/open-subsonic-api#172

Symfonium want that the open subosnic api standard is adapted before integrate it so that it can support all the Music Server that implement that (so not only Navidrome, but also other, like for example LMS).
I understand his point of view, because he need to support multiple music server having a standardization is useful, for that reason I opened the above ticket that I keep following.

Meanwhile you can use Tempus that already support it.

[SingularReza]

It already supports navidrome's instant mixes but there's nothing he can do for the smartflows when the navidrome plugin doesn't provide required data for it like the jellyfin plugin does. As NeptuneHub says, this needs changes in the opensubsonic standard and navidrome before symfonium can try implementing it.