Move the media server, downloader, library volume, and browser player to the
standalone hope-media-music product. Keep Hope's music tools as a thin HTTP
client of the LAN service on port 8094.
Use a stable voice-room player scope instead of ephemeral LiveKit room names.
The agent now owns the conversation handshake: fresh reported playback mutes
its input, joining pauses music, and the last participant leaving resumes only
music it paused. Peer failures remain non-fatal.
Also move the voice deploy workflow onto the active Unraid Gitea runner and
remove yt-dlp/ffmpeg/media health and volume dependencies from the image.
The Unraid deployment's /media/api requests were answered by an
Apache/YOURLS stack squatting on 8092, surfacing as UI 503s; the CI
healthcheck (curl without -f) counted that 503 as healthy, so run #15
deployed green against a broken media server.
- media server port 8092 -> 8093 everywhere (server, MCP, agent, nginx,
compose, CI, .env.example, docs, tests).
- healthchecks use curl -f in compose and rebuild.yml so HTTP error
statuses fail deployment.
- tests default to the Unraid deployment (VOICE_WEB_URL=
https://192.168.86.2:9178); token goes through nginx (loopback :8091
is unreachable off-host); bind-mount-coupled tests skip on remote
targets. AGENTS.md documents the convention and both failure modes.
A missing env var aborts supervisord's %(ENV_x)s config expansion and
takes every program down, which is why the media-player merge failed
CI (run 151): rebuild.yml's docker run did not pass MEDIA_DIR /
MEDIA_SERVER_PORT / YTDLP_COOKIES.
- supervisord.conf: media-server inherits those vars from the container
environment instead of hard-requiring them (media_server.py has safe
defaults for all three).
- rebuild.yml: mount the media library volume, pass the media env, and
extend the healthcheck to the media server healthz.
- compose: YTDLP_COOKIES defaults to the conventional /data/media/
cookies.txt path (ignored unless the file exists).
Parity verified: container started with CI's exact env (no media vars)
— all five programs RUNNING.
- Default LLM_MODEL to qwen2.5-vl-3b across agent, task worker, tests,
compose, workflow, and docs
- Cap min/max length-style constraints in tool schemas to 1000 before
LLM requests; llama.cpp rejects grammar repetitions >= 2000 and the
memory MCP's update_note body maxLength (200000) broke qwen2.5-vl-3b
with 'Failed to initialize samplers: failed to parse grammar'
- Point the agent at OpenWebUI's OpenAI-compatible API (LLM_BASE_URL,
LLM_API_KEY, LLM_MODEL) with GEMMA_* env fallbacks
- Add list_available_models() fetching {base_url}/models, filtering
non-chat ids (embedding/reranker)
- Rename GemmaLLM -> HopeLLM with update_options(model=...) for runtime
model switching (mutates _opts.model) and instance-based compaction
- Data channel: agent publishes {type: models} after connect and on
get_models; set_model switches live and acks model_changed
- Web UI: Brain section in the settings sheet with a model picker that
persists the choice in localStorage
- Update tests, CI workflow env, and docs for the new endpoint
snowspeeder